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rahman-etal_2021_jbps

Methodology and Analytical Approach to Investigate the Impact of Building Temperature Setpoints

Aowabin Rahman^1*, Amanda D. Smith¹, YuLong Xie¹, Jermy V. Thomas¹, Casey D. Burleyson¹

¹ Pacific Northwest National Laboratory, Richland, Washington, USA

* corresponding author: aowabin.rahman@pnnl.gov

Abstract

This paper presents a method for generating a large set of stochastically varying temperature setpoint schedules for EnergyPlus building performance simulations. It analyzes tradeoffs resulting from specific changes to those schedules in terms of three quantities: total electricity consumption per day; maximum hourly electricity consumption per day; and predicted percentage dissatisfied (occupant thermal comfort). The method for generating schedules requires a single base schedule as the starting point and, using a few clearly dened parameters, transforms it into a set of schedules that can be used for modeling an existing building stock or for performing parametric studies. Temperature setpoint schedules are generated and simulated for a small office building in a cool-dry climate in three different case studies pertaining to changing temperature setpoint schedules. Tradeoffs between the three output metrics are significant and vary based on the temperature setpoint schedules and the time of the year.

Journal reference

Code reference

Rahman, A., & Vernon, C. R. (2021, June 17). IMMM-SFA/tempset: v0.0.0 (Version v0.0.0). Zenodo. http://doi.org/10.5281/zenodo.4976805

Data reference

Input data

Rahman, A., & Vernon, C.R. (2021). Data Supplement: Inputs and Outputs for Rahman et al. 2021 (Version v0.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4977248

Output data

Rahman, A., & Vernon, C.R. (2021). Data Supplement: Inputs and Outputs for Rahman et al. 2021 (Version v0.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4977248

Contributing modeling software

Model	Version	Repository Link	DOI
EnergyPlus	9.0.1	https://github.com/NREL/EnergyPlus/tree/v9.0.1	https://github.com/NREL/EnergyPlus/tree/v9.0.1
tempset	0.0.0	https://github.com/IMMM-SFA/tempset	http://doi.org/10.5281/zenodo.4976805

Reproduce my experiment

Fill in detailed info here or link to other documentation that is a thorough walkthrough of how to use what is in this repository to reproduce your experiment.

1. Install the software components required to conduct the experiement from Contributing modeling software
2. Download and install the supporting input data required to conduct the experiement from Input data
3. Run the following scripts in the workflow directory to re-create this experiment:

Script Name	Description	How to Run
step_one.py	Script to run the first part of my experiment	python3 step_one.py -f /path/to/inputdata/file_one.csv
step_two.py	Script to run the last part of my experiment	python3 step_two.py -o /path/to/my/outputdir

4. Download and unzip the output data from my experiment Output data
5. Run the following scripts in the workflow directory to compare my outputs to those from the publication

Script Name	Description	How to Run
compare.py	Script to compare my outputs to the original	python3 compare.py --orig /path/to/original/data.csv --new /path/to/new/data.csv

Reproduce my figures

Use the scripts found in the figures directory to reproduce the figures used in this publication.

Script Name	Description	How to Run
generate_figures.py	Script to generate my figures	python3 generate_figures.py -i /path/to/inputs -o /path/to/outuptdir