diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 72cb695ca7..4c76d93de9 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -3,6 +3,9 @@ name: Docker build on: push: branches: [master] + release: + types: [published] + jobs: docker: @@ -20,8 +23,29 @@ jobs: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} + - name: Login to GitHub Container Registry + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract Repository Name + run: echo "REPO_NAME=${GITHUB_REPOSITORY@L}" >>${GITHUB_ENV} + - name: Build and push uses: docker/build-push-action@v5 with: push: true - tags: ${{ secrets.DOCKERHUB_USERNAME }}/cea:dev + tags: | + ${{ secrets.DOCKERHUB_USERNAME }}/cea:dev + ghcr.io/${{ env.REPO_NAME }}/cea:dev + + - name: Push version tag on release + if: github.event_name == 'release' && github.event.action == 'published' + run: | + docker buildx imagetools create \ + --tag ${{ secrets.DOCKERHUB_USERNAME }}/cea:${GITHUB_REF##*/} \ + --tag ghcr.io/${{ env.REPO_NAME }}/cea:${GITHUB_REF##*/} \ + ghcr.io/${{ env.REPO_NAME }}/cea:dev + diff --git a/cea/databases/DE/README.md b/cea/databases/DE/README.md new file mode 100644 index 0000000000..b605e40db3 --- /dev/null +++ b/cea/databases/DE/README.md @@ -0,0 +1,36 @@ +# German Building Stock Database + +- [German Building Stock Database](#german-building-stock-database) + - [Description](#description) + - [Cite](#cite) + - [Collaborate](#collaborate) + - [Authors](#authors) + +## Description + +Building typology for the German building stock adapted to CEA database format. An accompanying documentation.md file details all assumptions and sources used to compile the database. An a paper has been submitted to the BauSIM 2024 conference and is currently under peer review. + +The overall goal is to improve the current database creation process and templates of CEA with our case studies from Germany. This collaborative project was born out of the CEA User Meeting 2023 with the explicit goal to publish this Germany database for all CEA users. + +## Cite + +Please refer to the CEA github repository for questions regarding the usage +of any database, including this one. If you do find the database useful, please cite the +following submitted conference paper: + +> Ceruti, A., Geske, M., Hartmann, U., Spliethoff, H., Voelker, C. (2024). From Building to District: Accelerating Urban Building Energy Modeling with an Open-Source Database for Germany. BauSIM 2024, Vienna, Austria. [SUBMITTED] + +The reference will be updated as soon as it underwent the review process and is published. + +## Collaborate + +Please fill out your authorship information below and open a pull request with detailed explanations of the changes. +Alternatively please contact the authors with your ideas or publish an issue. + +## Authors + +In alphabetical order. + +- Amedeo Ceruti (amedeo.ceruti@tum.de) +- Mara Geske (mara.geske@uni-weimar.de) +- Ulla Hartmann (ullahartmann96@gmail.com) diff --git a/cea/databases/DE/archetypes/CONSTRUCTION_STANDARD.xlsx b/cea/databases/DE/archetypes/CONSTRUCTION_STANDARD.xlsx new file mode 100644 index 0000000000..4631f11c66 Binary files /dev/null and b/cea/databases/DE/archetypes/CONSTRUCTION_STANDARD.xlsx differ diff --git a/cea/databases/DE/archetypes/use_types/COOLROOM.csv b/cea/databases/DE/archetypes/use_types/COOLROOM.csv new file mode 100644 index 0000000000..d71d612b84 --- /dev/null +++ b/cea/databases/DE/archetypes/use_types/COOLROOM.csv @@ 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a/cea/databases/DE/archetypes/use_types/OFFICE.csv b/cea/databases/DE/archetypes/use_types/OFFICE.csv new file mode 100644 index 0000000000..368a2fabad --- /dev/null +++ b/cea/databases/DE/archetypes/use_types/OFFICE.csv @@ -0,0 +1,75 @@ +METADATA,DIN-EN-16798-1undDIn18599,HAUPTBUERO +MONTHLY_MULTIPLIER,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8 +DAY,HOUR,OCCUPANCY,APPLIANCES,LIGHTING,WATER,HEATING,COOLING,PROCESSES,SERVERS,ELECTROMOBILITY,, +WEEKDAY,1,0.0,0.0,0.0,0.0,SETBACK,SETBACK,0.0,0.0,0.0,, +WEEKDAY,2,0.0,0.0,0.0,0.0,SETBACK,SETBACK,0.0,0.0,0.0,, +WEEKDAY,3,0.0,0.0,0.0,0.0,SETBACK,SETBACK,0.0,0.0,0.0,, +WEEKDAY,4,0.0,0.0,0.0,0.0,SETBACK,SETBACK,0.0,0.0,0.0,, +WEEKDAY,5,0.0,0.0,0.0,0.0,SETPOINT,SETPOINT,0.0,0.0,0.0,, +WEEKDAY,6,0.0,0.0,0.0,0.0,SETPOINT,SETPOINT,0.0,0.0,0.0,, +WEEKDAY,7,0.0,0.0,0.0,0.0,SETPOINT,SETPOINT,0.0,0.0,0.0,, +WEEKDAY,8,0.2,0.2,0.2,0.2,SETPOINT,SETPOINT,0.0,0.0,0.0,, +WEEKDAY,9,0.6,0.6,0.6,0.6,SETPOINT,SETPOINT,0.0,0.0,0.0,, 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+SUNDAY,22,0.0,0.1,0.1,0.0,OFF,OFF,0.0,0.0,0.0 +SUNDAY,23,0.0,0.1,0.1,0.0,OFF,OFF,0.0,0.0,0.0 +SUNDAY,24,0.0,0.1,0.1,0.0,OFF,OFF,0.0,0.0,0.0 diff --git a/cea/databases/DE/archetypes/use_types/USE_TYPE_PROPERTIES.xlsx b/cea/databases/DE/archetypes/use_types/USE_TYPE_PROPERTIES.xlsx new file mode 100644 index 0000000000..8891d924cf Binary files /dev/null and b/cea/databases/DE/archetypes/use_types/USE_TYPE_PROPERTIES.xlsx differ diff --git a/cea/databases/DE/archetypes/use_types/schedule_references.txt b/cea/databases/DE/archetypes/use_types/schedule_references.txt new file mode 100644 index 0000000000..e6ceedb744 --- /dev/null +++ b/cea/databases/DE/archetypes/use_types/schedule_references.txt @@ -0,0 +1,128 @@ +**************************************************************************************************************************************************************************************************************************************** +**construction_properties.xlsx** +#######ARCHITECTURE, HVAC AND SUPPLY####### +From original CEA archetypes + +#######INTERNAL_LOADS####### +all values taken from SIA 2024 (2015) where available + +HOTEL : 2.1 (Hotelzimmer) +RETAIL : 5.2 (Fachgeschäft) +FOODSTORE : 5.1 (Lebensmittelverkauf) < Ea_Wm2 from RETAIL assumed, negative internal gains assumed to correspond to refrigeration (i.e., Qcre_Wm2 = 10 W/m2) > +INDUSTRIAL : 9.1 (Grobe Arbeit) < Epro_Wm2 and Qhpro_Wm2 from original CEA database > +GYM : 11.2 (Fitnessraum) +SWIMMING : 11.3 +SERVERROOM : 12.12 +PARKING : 12.9 +COOLROOM : 12.11 +LAB : 9.3 < Epro_Wm2 from CEA database value for INDUSTRIAL> +MUSEUM : 7.3 +LIBRARY : 4.3 +UNIVERSITY : 4.4 (Hörsaal) +HOSPITAL : calculated as a combination of 43% Bettenzimmer (8.1), 1% Stationszimmer (8.2) and 56% Behandlungsraum (8.3) based on data on the floor areas of a hospital in Zurich + < Qhpro_Wm2 from old CEA database > + +In contrast, the German standard lacks such a data basis, particularly for energy modelling on an hourly basis. +DIN EN 18599 describes various, energetic parameters for many usages, but in the context of simplified calculation based on a simplified monthly balancing procedure taking into account the different thermal zones of a building. Due to this structural differences the values cannot be directly transferred to CEA. Based on this and other regulation we modified the Swiss occupancy profiles for residential usage in single and multi family houses. +DIN EN 16789-1:2019 presents indoor environmental input parameters for design and assessment of energy performance of buildings and includes information on indoor air quality, thermal environment, lighting and acoustics. + +for the german database, the german standard values are used to modify the values from the swiss standard reference marked after ":", for the following types +MULTI_RES : 1.1 +SINGLE_RES : 1.2 +SENIOR_RES +SCHOOL : 4.1 (Schulzimmer) +OFFICE : 3.1 (Einzel-, Gruppenbüro) +OFFICE_1P +RESTAURANT : 6.1 +FOODSTORE : 5.1 (Lebensmittelverkauf) +KINDERGARDEN + +Due to the naming conventions the names are kept as in the other databases. This needs to be taken into account while changing databases for a use case. + + +#######INDOOR_COMFORT####### +Tcs_set_C and Ths_set_C : from SIA 2024 +Tcs_setb_C and Ths_setb_C : kept the same as the old CEA Database +Ve_lsp: from SIA 2024 < no value for SERVERROOM in SIA hence left unchanged from old CEA database value > +RH_min_pc and RH_max_pc: taken from SIA 2024 + < no value in SIA for PARKING and COOLROOM, assumed same as SIA Lager values > + +For the modification of the german database, for residental usage: +##### Use type properties - internal loads + +| Parameter | Description | Method | +|--- |--- |--- | +| `Occ_m2P` | Occupancy density (refers to “code”) | According to Sagner: 48 m2 per person for house owner (SFH) and 35m2 per Person in rented flats (MFH) | +| `El_Wm2` | Peak specific electrical load due to artificial lighting (refers to “code”)| DIN V 18599-4 Anhang B (Abbildung B.12) = 6,4 W/m² | +| `Vw_ldp` | Peak specific fresh water consumption (refers to “code”) | average water consumption for Germany [^BDEW] | +| `Vww_ldp` | Peak specific hot water consumption (refers to “code”)| 10% of `Vww` (educated guess) | + +##### Use type properties - indoor comfort + +| Parameter | Description | Method | +|--- |--- |--- | +| `Tcs_set_C` | Setpoint temperature for cooling system (refers to "code") | DIN EN 16798-1:2022-03 Tab.NA.3 Höchstwert für Kühlung in der Sommerperiode Wohnen Kat. II : 26°C AND DIN V 18599-10:2018-10 Tab. 4 Auslegung Kühlfall| +| `Tcs_setb_C` | Setback point of temperature for cooling system (refers to "code") | DIN V 18599-10:2018-09 Tab. 4 | +| `Ths_set_C` | Setpoint temperature for heating system (refers to "code") | DIN EN 16798-1:2022-03 Tab.NA.3 Wohnen Kat. I: 20°C AND DIN V 18599-10:2018-10 Tab. 4 Auslegungstemperatur Heizfall | +| `Ths_setb_C` | Setback point of temperature for heating system (refers to "code") | DIN V 18599-10:2018-10 Tab. 4 Temperaturabsenkung Reduzierter Betrieb = 4 K -> 16°C| +| `Ve_lsp` | Minimum outdoor air ventilation rate per person for Air Quality (refers to "code") | DIN EN 16798-1:2022-03 Tab.NA.6 Kat. II - I (erhöht auf Grdl. VDI Empfehlung zu 30 m³/h | + +##### SCHEDULES + +| Parameter | Method | +|--- |--- | +| OCCUPANCY | modified according to DIN EN 16798 and DIN18599 | +| APPLIENCES | 0.5 as baseline, others correlating with occupancy | +| LIGHTING | starting at 7 am, correlationg with occupancy, but modified | +| WATER | starting at 7 am, correlationg with occupancy | +| SETPOINT | DIN V 18599-10:2018 Tab. 4 Nutzungszeit von 6:00 - 23:00 | +| SETBACK | if not SETPOINT| + +#### Non-Residential types + +In the current status, there are no non-residential use types included. + +There is only a very heterogeneous data basis for non-residential buildings in Germany: + +- DIN/TS 18599 (e.g. Teil 13: Tabulation method for non-residential buildings): Also describes many occupancy profiles, but against the background of simplified calculation in the course of energy consulting. In this case, a simplified monthly balance procedure is usually used. However, the different thermal zones of a building are taken into account. For this reason, the values cannot be transferred directly to CEA. +- Standardlastprofile des BDEW (in English: Standard load profiles): These standardized load profiles contain the usual energy load patterns in Germany. They are often used for analyzing/monitoring the energy supply. However, they are based on the consumption of the German grid and are not intended as input data for a reduced order model. +- ... + + +**************************************************************************************************************************************************************************************************************************************** +**occupancy_schedules.xlsx** +from SIA 2024 (2015) where available + +####### Occupant presence ####### +####### Electricity schedules ####### +####### Monthly schedules ####### +####### Occupant density ####### +Taken from SIA 2024 as is. If the schedule is for one day off (Ruhetage pro Woche), then Sunday is set to base loads. If two days off, then Saturday and Sunday are both set at base loads. + +MULTI_RES : 1.1 +SINGLE_RES : 1.2 +HOTEL : 2.1 (Hotelzimmer) +OFFICE : 3.1 (Einzel-, Gruppenbüro) +RETAIL : 5.2 (Fachgeschäft) +FOODSTORE : 5.1 (Lebensmittelverkauf) +RESTAURANT : 6.1 +INDUSTRIAL : 9.1 (Grobe Arbeit) +SCHOOL : 4.1 (Schulzimmer) +GYM : 11.2 (Fitnessraum) +SWIMMING : 11.3 +SERVERROOM : 12.12 +PARKING : 12.9 +COOLROOM : 12.11 +LAB : 9.3 +MUSEUM : 7.3 +LIBRARY : 4.3 +UNIVERSITY : 4.4 (Hörsaal) +HOSPITAL : calculated as a combination of 43% Bettenzimmer (8.1), 1% Stationszimmer (8.2) and 56% Behandlungsraum (8.3) based on data on the floor areas of a hospital in Zurich + +####### Domestic hot water ####### +For MULTI_RES and SINGLE_RES taken from old CEA database +For all other uses, assume same as probability of occupant presence + +####### Processes ####### +For INDUSTRIAL taken from old CEA database, which corresponds to a reference industrial case study in Switzerland +For HOSPITAL and LAB, a constant load of 100% was assumed for simplicity diff --git a/cea/databases/DE/assemblies/ENVELOPE.xlsx b/cea/databases/DE/assemblies/ENVELOPE.xlsx new file mode 100644 index 0000000000..49c1c98040 Binary files /dev/null and b/cea/databases/DE/assemblies/ENVELOPE.xlsx differ diff --git a/cea/databases/DE/assemblies/HVAC.xlsx b/cea/databases/DE/assemblies/HVAC.xlsx new file mode 100644 index 0000000000..447bd453fb Binary files /dev/null and b/cea/databases/DE/assemblies/HVAC.xlsx differ diff --git a/cea/databases/DE/assemblies/SUPPLY.xlsx b/cea/databases/DE/assemblies/SUPPLY.xlsx new file mode 100644 index 0000000000..366ff5aef5 Binary files /dev/null and b/cea/databases/DE/assemblies/SUPPLY.xlsx differ diff --git a/cea/databases/DE/components/CONVERSION.xlsx b/cea/databases/DE/components/CONVERSION.xlsx new file mode 100644 index 0000000000..98307a1cfc Binary files /dev/null and b/cea/databases/DE/components/CONVERSION.xlsx differ diff --git a/cea/databases/DE/components/DISTRIBUTION.xlsx b/cea/databases/DE/components/DISTRIBUTION.xlsx new file mode 100644 index 0000000000..5015fc3a28 Binary files /dev/null and b/cea/databases/DE/components/DISTRIBUTION.xlsx differ diff --git a/cea/databases/DE/components/ENERGY_CARRIERS.xlsx b/cea/databases/DE/components/ENERGY_CARRIERS.xlsx new file mode 100644 index 0000000000..c4c17a10e4 Binary files /dev/null and b/cea/databases/DE/components/ENERGY_CARRIERS.xlsx differ diff --git a/cea/databases/DE/components/FEEDSTOCKS.xlsx b/cea/databases/DE/components/FEEDSTOCKS.xlsx new file mode 100644 index 0000000000..3e6d60ba8f Binary files /dev/null and b/cea/databases/DE/components/FEEDSTOCKS.xlsx differ diff --git a/cea/databases/DE/components/system_references.rst b/cea/databases/DE/components/system_references.rst new file mode 100644 index 0000000000..71b4533229 --- /dev/null +++ b/cea/databases/DE/components/system_references.rst @@ -0,0 +1,484 @@ +References for supply technologies +=================================== + +:Author: Shanshan Hsieh, Sreepathi Bhargava Krishna +:Date: 07 Aug 2017 + +Data about technology operation and cost of energy supply systems are stored +in ``..cea/databases/systems/supply_systems.xls``. This document provides references of information in the spreadsheet. +All costs are recorded using a constant currency ($USD in 2015), a guide on converting the cost into $USD-2015 is +presented in the session "Constant Currency". + + ++-----------------+--------------------------------------------------------------------------+ +|Column Name | Description | ++=================+==========================================================================+ +|description | description of the technology | ++-----------------+--------------------------------------------------------------------------+ +|code | unique code of the technology | +|-----------------+--------------------------------------------------------------------------+ +|cap_min/ cap_max | capacity range of the technology | +|-----------------+--------------------------------------------------------------------------+ +|unit | unit of the capacity range, eithe in W, m2 or m3 | +|-----------------+--------------------------------------------------------------------------+ +|currency | currency of the cost correlation | ++-----------------+--------------------------------------------------------------------------+ +|a,b,c,d,e,f,g | constants in the cost correlation equation of the investment cost | +| | f(x) = a + b*x^c + d*ln(x) + e*x*ln*(x) | ++-----------------+--------------------------------------------------------------------------+ +|LT_yr | lifetime of the technology in years | ++-----------------+--------------------------------------------------------------------------+ +|O&M_% | fixed operation and maintenance cost as a percentage of the capital cost | ++-----------------+--------------------------------------------------------------------------+ +|IR_% | interest rate of the technology | ++-----------------+--------------------------------------------------------------------------+ +|assumptions | names of columns which the values are assumed | ++-----------------+--------------------------------------------------------------------------+ + +Solar Technology +---------------- + +1. Photovoltaic panel +~~~~~~~~~~~~~~~~~~~~~ +:description: generic monocrystalline panel +:code: PV1 +:description: generic polycrystalline panel +:code: PV2 +:description: generic amorphous silicon panel +:code: PV3 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | Fonseca et al. [1]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ + +2. Solar Collector +~~~~~~~~~~~~~~~~~~ +:description: flat plate +:code: SC1 +:description: evacuated tube +:code: SC2 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ + +3. Photovoltaic-Thermal panel (PVT) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +:description: generic PVT +:code: PVT1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ + +Cooling Technology +------------------ + +1.Chiller +~~~~~~~~~ +:description: centralized chiller +:code: CH1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ +:description: vapor compression chiller +:code: CH2 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | D.Chinese [4]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | D.Chinese [4]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ +:description: vapor compression chiller (disconnected) +:code: CH3 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | A. Shirazi et al. [12]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | A. Shirazi et al. [12]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | A. Shirazi et al. [12]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ + +2. Cooling Tower +~~~~~~~~~~~~~~~~ +:description: centralized cooling tower +:code: CT1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ |backward calculation from capital recover | +| | |factor (CRF = 0.15) | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | backward calculation from CRF = 0.15 | ++-----------------+--------------------------------------------------------------------------+ + +3. Absorption Chiller +~~~~~~~~~~~~~~~~~~~~~ +:description: LiBr single effect +:code: ACH1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | A. Kuhn et al. [11]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | A. Shirazi et al. [12]_ | 1.331 AUD = 1 USD (2015) | +|-----------------+--------------------------------------------------------------------------+ +|life time | | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ +|operation cond. | A. Kuhn et al. [11]_ | | ++-----------------+--------------------------------------------------------------------------+ + +:description: LiBr single effect/ double effect/ triple effect +:code: ACH2/ ACH3/ ACH4 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | A. Shirazi et al. [12]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | A. Shirazi et al. [12]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | | Manufacturer catalog (Broad) | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ +|operation cond. | A. Kuhn et al. [11]_ | | ++-----------------+--------------------------------------------------------------------------+ + + + +Heating Technology +------------------ +1. Boiler +~~~~~~~~~ +:description: boiler +:code: B01 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Vollrath [5]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Vollrath [5]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Vollrath [5]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Vollrath [5]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Vollrath [5]_ | | ++-----------------+--------------------------------------------------------------------------+ + +2. Heat Pump (HP) +~~~~~~~~~~~~~~~~~ +:description: geothermal heat pump +:code: HP1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Nguyen [3]_ | change unit from kW to W | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ + +:description: water-water heat pump +:code: HP2 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | C. Weber [2]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | C. Weber [2]_ | change unit from kW to W | +|-----------------+--------------------------------------------------------------------------+ +|life time | C. Weber [2]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | C. Weber [2]_ | | ++-----------------+--------------------------------------------------------------------------+ + +Co-generation +------------- +1. Furnace +~~~~~~~~~~ +:description: furnace combined with ORC +:code: FU1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ + +2. Fuel Cell (FC) +~~~~~~~~~~~~~~~~~ +:description: solid oxide fuel cell +:code: FC1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | Fonseca et al. [1]_ | include 10% overhead cost | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ + +3. Combined Cycle Gas Turbine (CCGT) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +:description: combined cycle gas turbine +:code: CCGT1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | S. Fazlollahi [6]_ | change unit from kW to W | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ + +Heat exchanger (HEX) +-------------------- +:description: substation heat exchanger +:code: HEX1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ + +Borehole (BH) +------------- +:description: borehole +:code: BH1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Nguyen [3]_ | change unit from kW to W | +|-----------------+--------------------------------------------------------------------------+ +|life time | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | T. Nguyen [3]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | T. Nguyen [3]_ | | ++-----------------+--------------------------------------------------------------------------+ + + + + + + +Thermal Storage (TES) +--------------------- +:description: long-term storage tank +:code: TES1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | J. Rager [7]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | J. Rager [7]_ | | +|-----------------+--------------------------------------------------------------------------+ +|life time | J. Rager [7]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | J. Rager [7]_ | | ++-----------------+--------------------------------------------------------------------------+ + +:description: short-term storage tank +:code: TES2 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | A. Shirazi et al. [12]_ | | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | | | +|-----------------+--------------------------------------------------------------------------+ +|life time | J. Rager [7]_ | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | J. Rager [7]_ | | ++-----------------+--------------------------------------------------------------------------+ + + +Pump +---- +:description: generic pump +:code: PU1 ++-----------------+-----------------------------+--------------------------------------------+ +|specification | Reference | Note | ++=================+=============================+============================================+ +|capacity range | T. Vollrath. [3]_ |the data was transformed into power | +| | |functions | ++-----------------+--------------------------------------------------------------------------+ +|cost correlation | T. Vollrath. [3]_ |the data was transformed into power | +| | |functions | +|-----------------+--------------------------------------------------------------------------+ +|life time | | | +|-----------------+--------------------------------------------------------------------------+ +|O&M_% | Fonseca et al. [1]_ | | +|-----------------+--------------------------------------------------------------------------+ +|IR_% | | | ++-----------------+--------------------------------------------------------------------------+ + +:Nominal load [kW] : 0.4999, 0.75, 1.1, 1.5, 2.2, 3, 4, 5.5, 7.5, 11, 15, 18.5, 22, 30, 37, 45, 55, 75, 90, 110, 132, 160, 200, 220, 260, 315, 335, 375 +:Cost of Motor [CHF/kW] : 630, 580, 500, 420, 350, 315, 285, 260, 240, 220, 210, 205, 195, 190, 185, 182, 180, 176, 175, 174, 173, 170, 169, 168, 167, 165, 162, 161.9 +:Cost of Variable Frequency Drive [CHF/kW] : 720, 680, 585, 425, 330, 275, 220, 195, 180, 150, 145, 143, 135, 120, 115, 114, 110, 100, 90, 88, 85, 80, 75, 74, 74, 73, 72, 71.9 + + +Constant U.S. Dollar +==================== +In the system database in CEA, all costs are recorded in $USD in 2015. We used the same methodology followed by The +World Bank [8]_. +The cost data is converted into $USD-2015 following these two steps: +1. Adjust the cost value to the value in 2015 with the Consumer Price Index (CPI) of the country. +2. Convert the cost value in 2015 to $USD-2015 according to the exchange rate in 2015. +The official exchange rate from The World Bank is used [9]_. + ++-----------------------------+----------------+---------------------------------------------------+ +|Example | Cost value | Note | ++=============================+================+===================================================+ +|Cost data retrieved in 2010 | 10,000 SGD | | ++-----------------------------+----------------+---------------------------------------------------+ +|$SGD-2015 | 11,322 SGD | cost (2015) = S$10,000 * 99.461/87.848 [10]_ | +|-----------------------------+----------------+---------------------------------------------------+ +|$USD-2015 | 8,234 USD | 1 USD = 1.375 SGD (2015) | +|-----------------------------+----------------+---------------------------------------------------+ + +:1 USD = 0.962 CHF (2015) +:1 USD = 1.331 AUD (2015) + +References +~~~~~~~~~~ + +..[1] J.A. Fonseca et al. City Energy Analyst (CEA): Integrated framework for analysis and + optimization of building energy systems in neighborhoods and city districts. Energy and Buildings. 2016 + +..[2] C. Weber. Multi-objective design and optimization of district energy systems including + polygeneration energy conversion technologies., PhD Thesis, EPFL. 2008 + +..[3] T. Nguyen. Optimization of a district eneryg system in the context of urban transformation. + Master Thesis, ETH. 2015 + +..[4] D. Chinese. Optimal size and layout planning for district heating and cooling networks with distributed + generation options. International Journal of Energy Sector Management. 2008 + +..[5] T. Vollrath. Microgrid modeling and optimisation in the context of rural transformation. + Master Thesis, ETH. 2015 + +..[6] S. Fazlollahi. Decomposition optimization strategy for the design and operation of district energy systems. + PhD Thesis, EPFL. 2014 + +..[7] J. Rager. Urban energy system design from the heat perspective using mathematical programming including thermal + storage. PhD Thesis, EPFL. 2015 + +..[8] What is your constant U.S. dollar methodology? (n.d.). Retrieved August 28, 2017, + from https://datahelpdesk.worldbank.org/knowledgebase/articles/114943-what-is-your-constant-u-s-dollar-methodology + +..[9] Official exchange rate (LCU per US$, period average). The World Bank. Retrieved August 28, 2017, + from http://data.worldbank.org/indicator/PA.NUS.FCRF?end=2015&page=5&start=2009 + +..[10] Consumer Price Index, Annual. (n.d.). Retrieved August 28, 2017, + from https://data.gov.sg/dataset/consumer-price-index-annual + +..[11] A. Kuhn, C. Ozgur-Popanda, & F. Ziegler. A 10 kW indirectly fired absorption heat pump: concepts for a reversible + operation. Ch5. Thermally driven heat pumps for heating and cooling. Universitätsverlag der TU Berlin. 2013 + +..[12] A. Shirazi, R.A. Taylor, S.D. White, G.L. Morrison. A systematic parametric study and feasibility assessment of + solar-assisted single-effect, double-effect and triple-effect absorption chillers for heating and cooling + applications. Energy Conversion and Management. 2016 + + diff --git a/cea/databases/DE/documentation.md b/cea/databases/DE/documentation.md new file mode 100644 index 0000000000..248f3c45af --- /dev/null +++ b/cea/databases/DE/documentation.md @@ -0,0 +1,404 @@ +# German Building Stock Database + +This is the accompanying documentation to the German building stock database developed for the open-source software CityEnergy Analyst (CEA). + +## Table of Contents + +- [German Building Stock Database](#german-building-stock-database) + - [Table of Contents](#table-of-contents) + - [Description](#description) + - [Abbreviations](#abbreviations) + - [Archetypes](#archetypes) + - [CONSTRUCTION\_STANDARD](#construction_standard) + - [STANDARD\_DEFINITION](#standard_definition) + - [ENVELOPE\_ASSEMBLIES](#envelope_assemblies) + - [HVAC\_ASSMEBLIES](#hvac_assmeblies) + - [SUPPLY\_ASSEMBLIES](#supply_assemblies) + - [use\_types](#use_types) + - [Residential types](#residential-types) + - [Use type properties - internal loads](#use-type-properties---internal-loads) + - [Use type properties - indoor comfort](#use-type-properties---indoor-comfort) + - [SCHEDULES](#schedules) + - [Non-Residential types](#non-residential-types) + - [Assemblies](#assemblies) + - [ENVELOPE](#envelope) + - [CONSTRUCTION](#construction) + - [TIGHTNESS](#tightness) + - [ROOF](#roof) + - [WALL](#wall) + - [FLOOR](#floor) + - [WINDOW](#window) + - [SHADING](#shading) + - [SUPPLY](#supply) + - [ELECTRICITY](#electricity) + - [HEATING](#heating) + - [HOT\_WATER](#hot_water) + - [COOLING](#cooling) + - [Components](#components) + - [CONVERSION](#conversion) + - [DISTRIBUTION](#distribution) + - [FEEDSTOCKS / ENERGY\_CARRIERS](#feedstocks--energy_carriers) + - [Contribute](#contribute) + - [Authors](#authors) + - [References](#references) + +## Description + +The basic structure of the database is equivalent to the default Switzerland database in CEA. +This documentation follows the same hierarchical organization as the input files do, starting from the highest "archetypes" level, until the most granular "components" level. + +Please refer to the CEA github repository for questions regarding the usage +of any database, including this one. If you do find the database useful, please cite the +following submitted conference paper: + +> Ceruti, A., Geske, M., Hartmann, U., Spliethoff, H., Voelker, C. (2024). From Building to District: Accelerating Urban Building Energy Modeling with an Open-Source Database for Germany. BauSIM 2024, Austria. [SUBMITTED] + +The reference will be updated as soon as it underwent the review process and has been published. + +## Abbreviations + +- DE: Germany +- CH: Switzerland +- CEA: CityEnergyAnalyst +- SFH: single family house +- MFH: multi family house +- TH: terraced home +- AB: apartment block +- NR: normal renovation as defined in the IWU EPISCOPE project (implemented in TABULA typology) +- AR: advanced renovation as defined in EPISCOPE +- NWG: Nicht-Wohngebäude (non residential building) +- WW: domestic hot water +- IWU: Institut Wohnen und Umwelt +- BMVBS: Bundesministerium für Verkehr, Bau und Stadtentwicklung; now called Bundesministerium für Digitales und Verkehr. +- GDR: German Democratic Republic ("East Germany" before unification) + +## Archetypes + +The naming convention for the buildings is defined as follows: + +`Building Type(_Category)_Age(_Refurbishment status)` + +For example, for a multi-family home, with normal refurbishment from the 80s: `MFH_H_NR`. +For a commercial building destined to services with a generalized profile: `NWG_G1_A`. + +The Category is included only for non-residential buildings for the IWU typology, +while the Refurbishment status is only available for residential buildings. An additional +term `-EAST` designates the eastern german (former GDR) buildings. + +### CONSTRUCTION_STANDARD + +#### STANDARD_DEFINITION + +| Parameter | Description | Method | +|--- |--- |--- | +| `STANDARD` | building archetype as defined in STANDARD_DEFINITION | One for each TABULA[^tab] building archetype in Germany or non residential typology from either BMVBS[^BMVBS] or IWU[^IWU-NW-data][^IWU-NW-paper] | +| `Description` | Description of STANDARD | As defined in TABULA DE, BMBVS or IWU | +| `YEAR_START` | Starting year of construction | As defined in TABULA DE, BMBVS or IWU | +| `YEAR_END` | Last year of construction | As defined in TABULA DE, BMBVS or IWU | + +#### ENVELOPE_ASSEMBLIES + +Source for descriptions of the parameters: [^cea-desc]. + +| Parameter | Description | Method | +|---|---|---| +| `STANDARD` | building archetype name | One for each TABULA, EPISCOPE and IWU building archetype in Germany (See abbreviations above) | +| `type_cons` | Type of construction assembly (relates to "code" in ENVELOPE assemblies) | Standard values as defined in p. 8 of the common calculation method of TABULA[^tab-com] (and unit conversion to CEA) | +| `type_leak` | Tightness level assembly (relates to "code" in ENVELOPE assemblies) | According to values defined in the common calculation method of TABULA[^tab-com] p.13 and each building typology. For IWU and BMVBS it was assumed medium or low depending on age | +| `type_win` | Window assembly (relates to "code" in ENVELOPE assemblies) | Values depending on renovation status defined in TABULA with additional assumptions | +| `type_roof` | Roof construction assembly (relates to "code" in ENVELOPE assemblies) | Values for all building typologies defined in TABULA, BMBVS or IWU, and assumptions for missing values | +| `type_part` | Internal partitions construction assembly (relates to "code" in ENVELOPE assemblies) | One standard assumption for all | +| `type_wall` | External wall construction assembly (relates to "code" in ENVELOPE assemblies) | Values for all building typologies defined in TABULA, and assumptions for missing values | +| `type_floor` | Internal floor construction assembly (relates to "code" in ENVELOPE assemblies) | Values for all building typologies defined in TABULA | +| `type_base` | Internal floor construction assembly (relates to "code" in ENVELOPE assemblies) | Assumed equal to floor insulation of each building typology for TABULA DE (not measured) | +| `type_shade` | Shading system assembly (relates to "code" in ENVELOPE assemblies) | Assumed as vertical window for all typologies (TABULA p. 8 TABULA common calculation method[^tab-com]) | +| `Es` | Fraction of gross floor area with energy demands | Default tabula value = 0.85 | +| `Hs_ag` | Fraction of above ground gross floor area air-conditioned | Equal to Es, TABULA assumption | +| `Hs_bg` | Fraction of below ground gross floor area air-conditioned | Assumption of 0 | +| `Ns` | Fraction of net gross floor area | Assumption of 0.85 | +| `void_deck`| Number of floors (from the ground up) with an open envelope (default = 0, should be lower than floors_ag.) | 0 | +|`wwr_[]` | Window to wall ratio in in facades directions | Values for all building typologies defined in TABULA, calculated from facade, wall and window surfaces in IWU | + +#### HVAC_ASSMEBLIES + +Used standard values of CEA for all types. HVAC_HEATING_AS1 (90/70 radiators °C) or HVAC_HEATING_AS2 (70/55 °C) depending on TABULA typology and renovations tatus. Used HVAC_VENTILATION_AS2 or HVAC_VENTILATION_AS0 depending on EPISCOPE Advanced Reonvation scenario including heat recovery in the ventilation. + +HVAC_COOLING_AS3, HVAC_HOTWATER_AS1, HVAC_CONTROLLER_AS1 used for all types. + +Heating starting and ending dates are assumed all year and no cooling demands (heat_starts = 01|09 and heat_ends = 31|08; cool_starts and cool_ends = 00|00). Alternatively, the "Mietrecht" (tenancy law) in Germany requires heating from 01|10 until 30|04. + +#### SUPPLY_ASSEMBLIES + +The categories defined in SUPPLY are mapped to the construction standards in the SUPPLY_ASSEMBLIES file. + +| Parameter | Description | Method | +|--- |--- |--- | +| `type_cs` | Type of cooling supply assembly (refers to “code” in SUPPLY assemblies) | Selection is made based on the defined standards for the respective construction or renovation year | +| `type_hs` | Type of heating supply assembly (refers to “code” in SUPPLY assemblies) | Selection is made based on the defined standards for the respective construction or renovation year | +| `type_dhw` | Type of hot water supply assembly (refers to “code” in SUPPLY assemblies) | Selection is made based on the defined standards for the respective construction or renovation year | +| `type_el` | Type of electrical supply assembly (refers to “code” in SUPPLY assemblies) | Selection is made based on the defined standards for the respective construction or renovation year | + +### use_types + +The calculation basis for the occupancy in CEA is structured according to the Swiss standard SIA. In contrast, the German standard lacks such a data basis, particularly for energy modelling on an hourly basis. +DIN EN 18599 describes various, energetic parameters for many usages, but in the context of simplified calculation based on a simplified monthly balancing procedure taking into account the different thermal zones of a building. Due to this structural differences the values cannot be directly transferred to CEA. Based on this and other regulation we modified the Swiss occupancy profiles for residential usage in single and multi family houses. +DIN EN 16789-1:2019 presents indoor environmental input parameters for design and assessment of energy performance of buildings and includes information on indoor air quality, thermal environment, lighting and acoustics. + +#### Residential types + + The naming convention is *D_[usetype]* for residential profiles: + +- `D_SFH`: Single family home +- `D_MFH`: Multi family home + +##### Use type properties - internal loads + +| Parameter | Description | Method | +|--- |--- |--- | +| `Occ_m2P` | Occupancy density (refers to “code”) | According to Sagner: 48 m2 per person for house owner (SFH) and 35m2 per Person in rented flats (MFH) | +| `El_Wm2` | Peak specific electrical load due to artificial lighting (refers to “code”)| DIN V 18599-4 Anhang B (Abbildung B.12) = 6,4 W/m² | +| `Vw_ldp` | Peak specific fresh water consumption (refers to “code”) | average water consumption for Germany [^BDEW] | +| `Vww_ldp` | Peak specific hot water consumption (refers to “code”)| 10% of `Vww` (educated guess) | + +##### Use type properties - indoor comfort + +| Parameter | Description | Method | +|--- |--- |--- | +| `Tcs_set_C` | Setpoint temperature for cooling system (refers to "code") | DIN EN 16798-1:2022-03 Tab.NA.3 Höchstwert für Kühlung in der Sommerperiode Wohnen Kat. II : 26°C AND DIN V 18599-10:2018-10 Tab. 4 Auslegung Kühlfall| +| `Tcs_setb_C` | Setback point of temperature for cooling system (refers to "code") | DIN V 18599-10:2018-09 Tab. 4 | +| `Ths_set_C` | Setpoint temperature for heating system (refers to "code") | DIN EN 16798-1:2022-03 Tab.NA.3 Wohnen Kat. I: 20°C AND DIN V 18599-10:2018-10 Tab. 4 Auslegungstemperatur Heizfall | +| `Ths_setb_C` | Setback point of temperature for heating system (refers to "code") | DIN V 18599-10:2018-10 Tab. 4 Temperaturabsenkung Reduzierter Betrieb = 4 K -> 16°C| +| `Ve_lsp` | Minimum outdoor air ventilation rate per person for Air Quality (refers to "code") | DIN EN 16798-1:2022-03 Tab.NA.6 Kat. II - I (erhöht auf Grdl. VDI Empfehlung zu 30 m³/h | + +##### SCHEDULES + +| Parameter | Method | +|--- |--- | +| OCCUPANCY | modified according to DIN EN 16798 and DIN18599 | +| APPLIENCES | 0.5 as baseline, others correlating with occupancy | +| LIGHTING | starting at 7 am, correlating with occupancy, but modified | +| WATER | starting at 7 am, correlating with occupancy | +| SETPOINT | DIN V 18599-10:2018 Tab. 4 Nutzungszeit von 6:00 - 23:00 | +| SETBACK | if not SETPOINT| + +#### Non-Residential types + +In the current status, there are no non-residential use types included. + +There is only a very heterogeneous data basis for non-residential buildings in Germany: + +- DIN/TS 18599 (e.g. Teil 13: Tabulation method for non-residential buildings): Also describes many occupancy profiles, but against the background of simplified calculation in the course of energy consulting. In this case, a simplified monthly balance procedure is usually used. However, the different thermal zones of a building are taken into account. For this reason, the values cannot be transferred directly to CEA. +- Standardlastprofile des BDEW (in English: Standard load profiles): These standardized load profiles contain the usual energy load patterns in Germany. They are often used for analyzing/monitoring the energy supply. However, they are based on the consumption of the German grid and are not intended as input data for a reduced order model. +- ... + +## Assemblies + +### ENVELOPE + +The current renovation scenarios are entirely based on the IWU EPISCOPE project (normal or advanced). If more detailed scenarios are needed, the relevant construction standards for Germany (i.e. Wärmeschutzverordnung WSchW, Energieeinsparverordnung EnEV) need to be implemented in the database, refer to [^EnEV].[^WSchV]. The Service life parameter is filled with the default values of the +CH database. + +#### CONSTRUCTION + +| Parameter | Description | Method | +|--- |--- |--- | +| `Descriptio` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | | +| `Cm_Af` | Internal heat capacity per unit of area [J/K·m2] | Standard value used for TABULA buildings and unit conversion from 45 Wh/m2·K to J/m2·K | + +#### TIGHTNESS + +| Parameter | Description | Method | +|--- |--- |--- | +| `Description` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | | +| `n50` | Air tightness at 50 Pa [h^-1] | Recalculated with reference values provided in TABULA common calculation method p. 13 [^tab-com] | + +#### ROOF + +| Parameter | Description | Method | +|--- |--- |--- | +| `Description` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | Naming convention depending on typology and renovation status (see Abbreviations) | +| `U_roof` | U value of the floor construction [W/m2K] | Depending on archetype, typology and renovation status value | +| `a_roof` | Solar absorption coefficient. Defined according to ISO 13790 | Assumption of standard value from CEA CH database | +| `e_roof` | Emissivity of external surface. Defined according to ISO 13790. | Assumption of standard value from CEA CH database | +| `r_roof` | Reflectance in the Red spectrum. Defined according Radiance. (long-wave) | Assumption of standard value from CEA CH database | +| `GHG_roof_kgCO2m2` | Embodied emissions per m2 of roof.(entire building life cycle) | Assumption of standard value from CEA CH database | +| `Service_Life_roof` | Service life of the component in years (entire building life cycle) | Assumption of standard value from CEA CH database | + +#### WALL + +| Parameter | Description | Method | +|--- |--- |--- | +| `Description` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | Naming convention depending on typology and renovation status (see Abbreviations) | +| `U_wall` | U value of the wall construction [W/m2K] | Depending on archetype, typology and renovation status value | +| `a_wall` | Solar absorption coefficient. Defined according to ISO 13790 | Assumption of standard value from CH database | +| `e_wall` | Emissivity of external surface. Defined according to ISO 13790. | Assumption of standard value from CH database | +| `r_wall` | Reflectance in the Red spectrum. Defined according Radiance. (long-wave) | Assumption of standard value from CH database | +| `GHG_wall_kgCO2m2` | Embodied emissions per m2 of roof.(entire building life cycle) | Assumption of standard value from CH database | +| `Service_Life_wall` | Service life of the component in years (entire building life cycle) | Assumption of standard value from CEA CH database | + +#### FLOOR + +| Parameter | Description | Method | +|--- |--- |--- | +| `Description` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | Naming convention depending on typology and renovation status (see Abbreviations) | +| `U_base` | U value of the floor construction [W/m2K] | Depending on archetype, typology and renovation status value or assumed equal to floor for TABULA archetypes | +| `GHG_floor_kgCO2m2` | Embodied emissions per m2 of roof.(entire building life cycle) | Assumption of standard value from CH database | +| `Service_Life_floor` | Service life of the component in years (entire building life cycle) | Assumption of standard value from CEA CH database | + +#### WINDOW + +| Parameter | Description | Method | +|--- |--- |--- | +| `Description` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | Naming convention depending on typology and renovation status (see Abbreviations) | +| `U_win` | U value of the window construction [W/m2K] | Depending on archetype, typology and renovation status value | +| `G_win`| Solar heat gain coefficient. Defined according to ISO 13790. | Assignment of standard values from CH database, depending on standard window type specified in TABULA; assumption for NWG since not included in archetype | +| `e_win` | Emissivity of external surface. Defined according to ISO 13790. | Assignment of standard values from CH database, depending on standard window type specified in TABULA; assumption for NWG since not included in archetype | +| `F_F` | Window frame fraction coefficient. Defined according to ISO 13790. | Standard TABULA value (p. 8) of 0.3 | +| `GHG_win_kgCO2m2` | Embodied emissions per m2 of roof.(entire building life cycle) | Assumption of standard value from CH database | +| `Service_Life_win` | Service life of the component in years (entire building life cycle) | Assumption of standard value from CEA CH database | + +#### SHADING + +| Parameter | Description | Method | +|--- |--- |--- | +| `Description` | Description of code | | +| `code` | Assembly code used used in ENVELOPE_ASSEMBLIES | Naming convention depending on shading type | +| `rf_sh` | Shading coefficient when shading device is active. Defined according to ISO 13790 | Typology standard values (0.6 vertical, 0.8 horizontal windows); Additional types defined from DIN 4108-2:2013-02 Tab. 7 with naming convention SHADING_MG[id] | + +### SUPPLY + +The heat technologies were adopted from CEA and adjusted according to the KEA technical catalog [^KEA] assuming that the following formula is still used in CEA:Investment costs = Investment costs per kW * efficiency of heat technology * thermal performance.The heating technologies were categorized into three different power classes (10 kW, 50 kW, 100 kW). These are intended to reflect the capacities of a single-family house, a smaller, and a larger multi-family house. The selected capacity can be verified by calculating the heat demand in CEA. Contrary to the parameter labels, the costs are plotted in Euros for the reference year 2023! + +#### ELECTRICITY + +| Parameter | Description | Method | +|--- |--- |--- | +|CAPEX_USD2015kW | Capital costs per kW | Standard value from CH database | +|code | Code of electrical supply assembly | Standard value from CH database | +|Description | description | Standard value from CH database | +|efficiency | efficiency of the all in one system | Standard value from CH database | +|feedstock | feedstock used by the the all in one system (refers to the FEEDSTOCK database) | Standard value from CH database | +|IR_% | interest rate charged on the loan for the capital cost | Standard value from CH database | +|LT_yr | lifetime of assembly | Standard value from CH database | +|O&M_% | operation and maintenance cost factor (fraction of the investment cost) | Standard value from CH database | +|reference | reference | Standard value from CH database | +|scale | whether the all in one system is used at the building or the district scale | Standard value from CH database | + +#### HEATING + +| Parameter | Description | Method | +|--- |--- |--- | +|CAPEX_USD2015kW | Capital costs per kW | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|code | Code of heating supply assembly | Syntax from CH database | +|Description | description | Syntax from CH database | +|efficiency | efficiency of the all in one system | Standard value from CH database | +|feedstock | feedstock used by the the all in one system (refers to the FEEDSTOCK database) | Standard value from CH database | +|IR_% | interest rate charged on the loan for the capital cost | Standard value from CH database | +|LT_yr | lifetime of assembly | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|O&M_% | operation and maintenance cost factor (fraction of the investment cost) | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|reference | reference | Mainly KEA technical catalog | +|scale | whether the all in one system is used at the building or the district scale | Standard value from CH database | + +#### HOT_WATER + +| Parameter | Description | Method | +|--- |--- |--- | +|CAPEX_USD2015kW | Capital costs per kW | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|code | Code of hot water supply assembly | Syntax from CH database | +|Description | description | Syntax from CH database | +|efficiency | efficiency of the all in one system | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|feedstock | feedstock used by the the all in one system (refers to the FEEDSTOCK database) | Standard value from CH database | +|IR_% | interest rate charged on the loan for the capital cost | Standard value from CH database | +|LT_yr | lifetime of assembly | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|O&M_% | operation and maintenance cost factor (fraction of the investment cost) | Standard value from CH database that may have been adjusted with the sources in 'reference' | +|reference | reference | Mainly KEA technical catalog | +|scale | whether the all in one system is used at the building or the district scale | Standard value from CH database | + +#### COOLING + +The parameters have not been changed and correspond to the standard values from CEA for Switzerland. + +| Parameter | Description | Method | +|--- |--- |--- | +|CAPEX_USD2015kW | Capital costs per kW | Standard value from CH database | +|code | Code of cooling supply assembly | Standard value from CH database | +|Description | description | Standard value from CH database | +|efficiency | efficiency of the all in one system | Standard value from CH database | +|feedstock | feedstock used by the the all in one system (refers to the FEEDSTOCK database) | Standard value from CH database | +|IR_% | interest rate charged on the loan for the capital cost | Standard value from CH database | +|LT_yr | lifetime of assembly | Standard value from CH database | +|O&M_% | operation and maintenance cost factor (fraction of the investment cost) | Standard value from CH database | +|reference | reference | Standard value from CH database | +|scale | whether the all in one system is used at the building or the district scale | Standard value from CH database | + +## Components + +### CONVERSION + +Assumption of standard values from CH database + +### DISTRIBUTION + +No recent values than those in the CEA database were found, so the 2015 values were adjusted to the year 2023 using the USD inflation rate of 24.90% [^US]. + +| Parameter | Description | Method | +|--- |--- |--- | +|Code | Standardized pipe size | | +|D_ext_m | external pipe diameter tolerance for the nominal diameter (DN)| Standard value from CH database | +|D_ins_m | maximum pipe diameter tolerance for the nominal diameter (DN) | Standard value from CH database | +|D_int_m | internal pipe diameter tolerance for the nominal diameter (DN) | Standard value from CH database | +|Inv_USD2015perm | Typical cost of investment for a given pipe diameter | Standard value from CH database | +|Pipe_DN | Nominal pipe diameter | Standard value from CH database | +|Vdot_max_m3s | maximum volumetric flow rate for the nominal diameter (DN) | Standard value from CH database | +|Vdot_min_m3s | minimum volumetric flow rate for the nominal diameter (DN) | Standard value from CH database | + +### FEEDSTOCKS / ENERGY_CARRIERS + +Current buying prices (beginning - mid 2023) for feedstocks or energy carriers were researched for Germany. The respective sources are referenced in the database. The emissions of electricity were not available in the specified unit within CEA. Therefore, the value was validated using the ratio of the emission factor in kg/kWh between Germany and Switzerland. Contrary to the parameter labels, the costs are plotted in Euros for the reference year 2023! + +Hint: For calculating "district heating" feedstock, it's advisable to adjust the feedstock "Dry Biomass" as there is no section for district heating in CEA. + +| Parameter | Description | Method | +|--- |--- |--- | +|GHG_kgCO2MJ | Non-renewable Green House Gas Emissions factor | Different references for the feedstocks or energy carriers | +|hour | hour of a 24 hour day | Unchanged | +|Opex_var_buy_USD2015kWh | buying price | Different references for the feedstocks or energy carriers | +|Opex_var_sell_USD2015kWh | selling price | not used, Approximation: equals buying price | +|reference | reference | Sources for feedstock prices and GHG Emissions | + +## Contribute + +Please feel free to use and contribute to this database by opening +a pull request on github detailing the made modifications in detail. + +## Authors + +In alphabetic order: + +- Amedeo Ceruti +- Mara Geske +- Ulla Hartmann + +## References + +[^tab]: Loga, Tobias, Britta Stein, and Nikolaus Diefenbach. "TABULA building typologies in 20 European countries—Making energy-related features of residential building stocks comparable." _Energy and Buildings_ 132 (2016): 4-12. +[^tab-com]: Loga, Tobias, and Nikolaus Diefenbach. "TABULA Calculation Method-Energy Use for Heating and Domestic Hot Water." _Germany: Institut Wohnen und Umwelt GmbH_ (2013). Available at . Last accessed 01.12.2023. +[^cea-desc]: CEA documentation for intermediate input methods. Available at +[^BMVBS]: Typologie und Bestand beheizter Nichtwohngebäude in Deutschland Endbericht (Stand:28.07.2011)" vom BMVBS sowie BBSR im BBR +[^EnEV]: Verordnung über energiesparenden Wärmeschutz und energiesparende Anlagentechnik bei Gebäuden (Energieeinsparverordnung - EnEV), 2001. +[^WSchV]: Verordnung über einen energiesparenden Wärmeschutz bei Gebäuden (Wärmeschutzverordnung – WärmeschutzV), 1977. +[^Datenerfassung Umweltschulten]: "Indikatoren zum Wasserverbrauch / Abwasser in Schulen Datenerfassung" from www.umweltschulen.de. +[^BNB]: "Bewertungssystem Nachhaltiges Bauen (BNB) Neubau Büro- und Verwaltungsgebäude" des BMVBS. +[DEHOGA]: "Nachhaltiges Wirtschaften in Hotellerie und Gastronomie -Tipps und Handlungsempfehlungen" des DEHOGA Bundesverbands. +[^IWU-NW-paper]: Hörner, Michael, and Julian Bischof. "Building typology of the non-residential building stock in Germany—Methodology and first results." _ECEEE Summer Study Proceedings; European Council for an Energy Efficient Economy (ECEEE): Hyères, France_ (2022): 935-944. Available at: . +[^IWU-NW-data]: Github repository "Nichtwohngebaeude-Typologie-Deutschland" of IWUGERMANY. Available at: . +[^KEA]: KEA-BW (2022): Technikkatalog zur Kommunalen Wärmeplanung. Available at . Last accessed 26.8.23. +[^US]: US INFLATION CALCULATOR. Available at . Last accessed 26.8.23. +[^BDEW] : Bundesverbands der Energie- und Wasserwirtschaft +[^Sagner]: Pekka Sagner. "IW-Kurzbericht 11: Wer wohnt wie groß?" Institut der deutschen Wirtschaft. 2021. Köln. diff --git a/cea/interfaces/dashboard/api/inputs.py b/cea/interfaces/dashboard/api/inputs.py index 2b67659419..d1eeee3fce 100644 --- a/cea/interfaces/dashboard/api/inputs.py +++ b/cea/interfaces/dashboard/api/inputs.py @@ -5,7 +5,7 @@ from collections import OrderedDict import geopandas -import pandas +import pandas as pd from flask import current_app, request from flask_restx import Namespace, Resource, abort @@ -99,7 +99,7 @@ def get(self, kind): location = getattr(locator, db_info['location'])() if db_info['file_type'] != 'shp': abort(500, 'Invalid database for geojson: %s' % location) - return df_to_json(location, bbox=True)[0] + return df_to_json(location)[0] elif kind in NETWORK_KEYS: return get_network(config, kind)[0] elif kind == 'streets': @@ -123,9 +123,9 @@ def get(self): store['geojsons'] = {} store['connected_buildings'] = {} store['crs'] = {} - store['geojsons']['zone'], store['crs']['zone'] = df_to_json(locator.get_zone_geometry(), bbox=True) + store['geojsons']['zone'], store['crs']['zone'] = df_to_json(locator.get_zone_geometry()) store['geojsons']['surroundings'], store['crs']['surroundings'] = df_to_json( - locator.get_surroundings_geometry(), bbox=True) + locator.get_surroundings_geometry()) store['geojsons']['streets'], store['crs']['streets'] = df_to_json(locator.get_street_network()) store['geojsons']['dc'], store['connected_buildings']['dc'], store['crs']['dc'] = get_network(config, 'dc') store['geojsons']['dh'], store['connected_buildings']['dh'], store['crs']['dh'] = get_network(config, 'dh') @@ -152,19 +152,21 @@ def put(self): location = getattr(locator, db_info['location'])() file_type = db_info['file_type'] - if len(tables[db]) != 0: + if tables.get(db) is None: # ignore if table does not exist + continue + + if len(tables[db]): if file_type == 'shp': - from cea.utilities.standardize_coordinates import get_geographic_coordinate_system table_df = geopandas.GeoDataFrame.from_features(geojsons[db]['features'], crs=get_geographic_coordinate_system()) - out['geojsons'][db] = json.loads(table_df.to_json(show_bbox=True)) + out['geojsons'][db] = json.loads(table_df.to_json()) table_df = table_df.to_crs(crs[db]) table_df.to_file(location, driver='ESRI Shapefile', encoding='ISO-8859-1') - table_df = pandas.DataFrame(table_df.drop(columns='geometry')) + table_df = pd.DataFrame(table_df.drop(columns='geometry')) out['tables'][db] = json.loads(table_df.set_index('Name').to_json(orient='index')) elif file_type == 'dbf': - table_df = pandas.read_json(json.dumps(tables[db]), orient='index') + table_df = pd.read_json(json.dumps(tables[db]), orient='index') # Make sure index name is 'Name; table_df.index.name = 'Name' @@ -173,15 +175,22 @@ def put(self): cea.utilities.dbf.dataframe_to_dbf(table_df, location) out['tables'][db] = json.loads(table_df.set_index('Name').to_json(orient='index')) - else: # delete file if empty - out['tables'][db] = {} - if os.path.isfile(location): + else: # delete file if empty unless it is surroundings (allow for empty surroundings file) + if db == "surroundings": + table_df = geopandas.GeoDataFrame(columns=["Name", "height_ag", "floors_ag"], geometry=[], + crs=get_geographic_coordinate_system()) + table_df.to_file(location) + + out['tables'][db] = [] + + elif os.path.isfile(location): if file_type == 'shp': import glob for filepath in glob.glob(os.path.join(locator.get_building_geometry_folder(), '%s.*' % db)): os.remove(filepath) elif file_type == 'dbf': os.remove(location) + if file_type == 'shp': out['geojsons'][db] = {} @@ -192,12 +201,12 @@ def put(self): schedule_data = schedule_dict['SCHEDULES'] schedule_complementary_data = {'MONTHLY_MULTIPLIER': schedule_dict['MONTHLY_MULTIPLIER'], 'METADATA': schedule_dict['METADATA']} - data = pandas.DataFrame() + data = pd.DataFrame() for day in ['WEEKDAY', 'SATURDAY', 'SUNDAY']: - df = pandas.DataFrame({'HOUR': range(1, 25), 'DAY': [day] * 24}) + df = pd.DataFrame({'HOUR': range(1, 25), 'DAY': [day] * 24}) for schedule_type, schedule in schedule_data.items(): df[schedule_type] = schedule[day] - data = data.append(df, ignore_index=True) + data = pd.concat([df, data], ignore_index=True) save_cea_schedule(data.to_dict('list'), schedule_complementary_data, schedule_path) print('Schedule file written to {}'.format(schedule_path)) return out @@ -219,7 +228,7 @@ def get_building_properties(): try: if file_type == 'shp': table_df = geopandas.GeoDataFrame.from_file(file_path) - table_df = pandas.DataFrame( + table_df = pd.DataFrame( table_df.drop(columns='geometry')) if 'geometry' in db_columns: del db_columns['geometry'] @@ -258,8 +267,8 @@ def get_building_properties(): except (IOError, DriverError, ValueError) as e: print(e) - store['tables'][db] = {} - store['columns'][db] = {} + store['tables'][db] = None + store['columns'][db] = None return store @@ -306,17 +315,22 @@ def get_network(config, network_type): return None, [], None -def df_to_json(file_location, bbox=False): +def df_to_json(file_location): from cea.utilities.standardize_coordinates import get_lat_lon_projected_shapefile, get_projected_coordinate_system try: table_df = geopandas.GeoDataFrame.from_file(file_location) # Save coordinate system - lat, lon = get_lat_lon_projected_shapefile(table_df) - crs = get_projected_coordinate_system(lat, lon) + if table_df.empty: + # Set crs to generic projection if empty + crs = table_df.crs.to_proj4() + else: + lat, lon = get_lat_lon_projected_shapefile(table_df) + crs = get_projected_coordinate_system(lat, lon) + # make sure that the geojson is coded in latitude / longitude out = table_df.to_crs(get_geographic_coordinate_system()) - out = json.loads(out.to_json(show_bbox=bbox)) + out = json.loads(out.to_json()) return out, crs except (IOError, DriverError) as e: print(e) @@ -334,7 +348,7 @@ def get(self, building): try: schedule_path = locator.get_building_weekly_schedules(building) schedule_data, schedule_complementary_data = read_cea_schedule(schedule_path) - df = pandas.DataFrame(schedule_data).set_index(['DAY', 'HOUR']) + df = pd.DataFrame(schedule_data).set_index(['DAY', 'HOUR']) out = {'SCHEDULES': { schedule_type: {day: df.loc[day][schedule_type].values.tolist() for day in df.index.levels[0]} for schedule_type in df.columns}} @@ -428,7 +442,7 @@ def get(self): if schema_key != 'get_database_standard_schedules_use': db_path = locator.__getattribute__(schema_key)() try: - df = pandas.read_excel(db_path, sheet_name=None) + df = pd.read_excel(db_path, sheet_name=None) errors = validator.validate(df, schema) if errors: out[db_name] = errors @@ -448,9 +462,9 @@ def get(self): def database_dict_to_file(db_dict, db_path): - with pandas.ExcelWriter(db_path) as writer: + with pd.ExcelWriter(db_path) as writer: for sheet_name, data in db_dict.items(): - df = pandas.DataFrame(data).dropna(axis=0, how='all') + df = pd.DataFrame(data).dropna(axis=0, how='all') df.to_excel(writer, sheet_name=sheet_name, index=False) print('Database file written to {}'.format(db_path)) @@ -458,13 +472,13 @@ def database_dict_to_file(db_dict, db_path): def schedule_dict_to_file(schedule_dict, schedule_path): schedule = OrderedDict() for key, data in schedule_dict.items(): - schedule[key] = pandas.DataFrame(data) + schedule[key] = pd.DataFrame(data) schedule_to_file(schedule, schedule_path) def get_choices(choice_properties, path): lookup = choice_properties['lookup'] - df = pandas.read_excel(path, lookup['sheet']) + df = pd.read_excel(path, lookup['sheet']) choices = df[lookup['column']].tolist() out = [] if 'none_value' in choice_properties: diff --git a/cea/interfaces/dashboard/server/jobs.py b/cea/interfaces/dashboard/server/jobs.py index 1de2ac6e91..6b0c5cf987 100644 --- a/cea/interfaces/dashboard/server/jobs.py +++ b/cea/interfaces/dashboard/server/jobs.py @@ -4,6 +4,7 @@ import subprocess from dataclasses import dataclass, asdict +from datetime import datetime import psutil @@ -35,6 +36,8 @@ 'state': fields.Integer, 'error': fields.String, 'parameters': fields.Raw, + 'start_time': fields.DateTime, + 'end_time': fields.DateTime, }) job_info_request_parser = reqparse.RequestParser() @@ -66,9 +69,8 @@ class JobInfo: parameters: dict state: int = JOB_STATE_PENDING error: str = None - - def __repr__(self): - return "".format(**self.__dict__) + start_time: datetime = None + end_time: datetime = None jobs = { @@ -109,6 +111,7 @@ class JobStarted(Resource): def post(self, jobid): job = jobs[jobid] job.state = JOB_STATE_STARTED + job.start_time = datetime.now() current_app.socketio.emit("cea-worker-started", api.marshal(job, job_info_model)) return job @@ -120,6 +123,7 @@ def post(self, jobid): job = jobs[jobid] job.state = JOB_STATE_SUCCESS job.error = None + job.end_time = datetime.now() if job.id in worker_processes: del worker_processes[job.id] current_app.socketio.emit("cea-worker-success", api.marshal(job, job_info_model)) @@ -133,6 +137,7 @@ def post(self, jobid): job = jobs[jobid] job.state = JOB_STATE_ERROR job.error = request.data.decode() + job.end_time = datetime.now() if job.id in worker_processes: del worker_processes[job.id] current_app.socketio.emit("cea-worker-error", api.marshal(job, job_info_model)) @@ -155,6 +160,7 @@ def post(self, jobid): job = jobs[jobid] job.state = JOB_STATE_CANCELED job.error = "Canceled by user" + job.end_time = datetime.now() kill_job(jobid) current_app.socketio.emit("cea-worker-canceled", api.marshal(job, job_info_model)) return job diff --git a/cea/utilities/reporting.py b/cea/utilities/reporting.py index 2dd2c9556e..2291b49ff4 100644 --- a/cea/utilities/reporting.py +++ b/cea/utilities/reporting.py @@ -33,13 +33,8 @@ def full_report_to_xls(tsd, output_folder, basename): #timestamp = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') #output_path = os.path.join(output_folder,"%(basename)s-%(timestamp)s.xls" % locals()) output_path = os.path.join(output_folder, "%(basename)s.xls" % locals()) - writer = pd.ExcelWriter(output_path, engine='xlwt') - - df.to_excel(writer, na_rep='NaN') - - # Close the Pandas Excel writer and output the Excel file. - writer.save() - writer.close() + with pd.ExcelWriter(output_path, engine="openpyxl") as writer: + df.to_excel(writer, na_rep="NaN") def quick_visualization_tsd(tsd, output_folder, basename): @@ -122,4 +117,4 @@ def quick_visualization_tsd(tsd, output_folder, basename): trace = go.Scattergl(x=np.linspace(1, HOURS_IN_YEAR, HOURS_IN_YEAR), y=y, name=key, mode='lines+markers') traces.append(trace) fig = go.Figure(data=traces) - plot(fig, filename=filename, auto_open=auto_open) \ No newline at end of file + plot(fig, filename=filename, auto_open=auto_open) diff --git a/setup/cityenergyanalyst.nsi b/setup/cityenergyanalyst.nsi index cae324a32e..3e9a3c38f5 100644 --- a/setup/cityenergyanalyst.nsi +++ b/setup/cityenergyanalyst.nsi @@ -9,7 +9,7 @@ !define MULTIUSER_INSTALLMODE_DEFAULT_CURRENTUSER !define MULTIUSER_INSTALLMODE_INSTDIR "CityEnergyAnalyst" !define MULTIUSER_INSTALLMODE_FUNCTION onMultiUserModeChanged -!define MULTIUSER_MUI +# !define MULTIUSER_MUI !include MultiUser.nsh @@ -40,7 +40,7 @@ CRCCheck On ;Pages !insertmacro MUI_PAGE_LICENSE "..\LICENSE" -!insertmacro MULTIUSER_PAGE_INSTALLMODE +# !insertmacro MULTIUSER_PAGE_INSTALLMODE !insertmacro MUI_PAGE_DIRECTORY !insertmacro MUI_PAGE_COMPONENTS !insertmacro MUI_PAGE_INSTFILES