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Is your implementation related to a bug report or feature request? Please describe or link here.
A clear and concise description of what the problem was.
Describe the designed solution
Implement a chp plant in the scenario manager.
Describe alternatives you've considered
Not including it was ruled out
Implementation details
See necessary changes in config file below
################################ combined heat and power settings ####################################
################################ coming soon
"chp_fraction": 0 # fraction of prosumers with heat pumps
"chp_sizing_power": 1 # thermal power 1 = peak heating demand
"chp_heat_elec_ratio": 2 # P_th/P_el
"chp_efficiency": 0.9
"chp_fuel_cost": 0.08 €/kWh_th
"chp_capacity": [2, 3] # integrated thermal storage capacity in hours of
# maximum power, which is the ceiled maximum heat demand from file
"chp_soc_init": 0.1 # initial soc of the storage (0-1)
"chp_controller": "heat_led" # chp control strategy
# "heat_led" - chp's focus is to cover the heat demand
# "elec_led" - chp's focus is to generate power when profitable
"chp_fcast": "nn" # heating demand forecasting technique
# "perfect" - perfect
# "nn" - neural network based on the included weather data
# "mr" - multiple regression based on the included weather data
"chp_fcast_retraining_period": 86400 # models should be periodically retrained based on new data
# how many seconds between retraining periods?
"chp_fcast_update_period": 3600 # forecasts are periodically updated and saved to file where the
# most current forecast can be retrieved by model predictive controllers
# and market agents. How many seconds between updates?
Also:
"perfect" for hp forecast
The text was updated successfully, but these errors were encountered:
* Random wind spec import + new models
Selects a random wind turbine model from input data and saves it in prosumer directory
* Change of file name
wind_id becomes spec_id
* Inclusion of chp in config files
Added chp to config files and corrected hp config for consistency
* Addition of relative sizing to hp
Add same factor to relatively size power to hp as exists for chp
* Inclusion of chp in manager plus adjustments hp
Include chp in scenario_manager. Hp was corrected to follow lemlab convention (not completely yet)
* Update of household loads
Files now also contain heat demand time series
* Update of rts_0_config
Uniform to sim_0_config now
* Update of heat time series files
Correct mistake of previous files and address Sebastian's comment
Is your implementation related to a bug report or feature request? Please describe or link here.
A clear and concise description of what the problem was.
Describe the designed solution
Implement a chp plant in the scenario manager.
Describe alternatives you've considered
Not including it was ruled out
Implementation details
See necessary changes in config file below
################################ combined heat and power settings ####################################
################################ coming soon
"chp_fraction": 0 # fraction of prosumers with heat pumps
"chp_sizing_power": 1 # thermal power 1 = peak heating demand
"chp_heat_elec_ratio": 2 # P_th/P_el
"chp_efficiency": 0.9
"chp_fuel_cost": 0.08 €/kWh_th
"chp_capacity": [2, 3] # integrated thermal storage capacity in hours of
# maximum power, which is the ceiled maximum heat demand from file
"chp_soc_init": 0.1 # initial soc of the storage (0-1)
"chp_controller": "heat_led" # chp control strategy
# "heat_led" - chp's focus is to cover the heat demand
# "elec_led" - chp's focus is to generate power when profitable
"chp_fcast": "nn" # heating demand forecasting technique
# "perfect" - perfect
# "nn" - neural network based on the included weather data
# "mr" - multiple regression based on the included weather data
"chp_fcast_retraining_period": 86400 # models should be periodically retrained based on new data
# how many seconds between retraining periods?
"chp_fcast_update_period": 3600 # forecasts are periodically updated and saved to file where the
# most current forecast can be retrieved by model predictive controllers
# and market agents. How many seconds between updates?
Also:
The text was updated successfully, but these errors were encountered: