Decision-support and Emissions Prediction Interactive Cities Tool

Abstract

The Decision-support and Emissions Prediction Interactive Cities Tool (DEPICT) aims at predicting the cross-sectoral (building construction, operation and vehicles) energy consumption and greenhouse gases emissions at campus and urban scale. It leverages capabilities of multiple modeling tools: EnergyPlus for building operation, CalEEMod for building construction and gas vehicle, BEAM for electric vehicles and SAM for building–integrated photovoltaics. It distinguishes from other cross-sectoral model such as CalEEMod or BEST in that it uses physical models, rather than empirical models, for all sectors, which allows for a more accurate and customizable quantification. It is relevant for short-term multi-sectoral decision making by developers and city planners and long-term policy making by municipal and state officials. Information about all the developers
Developers:
Ravache, Baptiste [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Release Date:
2019-01-24
Project Type:
Closed Source
Software Type:
Scientific
Licenses:
Other (Commercial or Open-Source): https://buildings.lbl.gov/impel/people/lit/lit5
Sponsoring Org.:
Code ID:
61025
Site Accession Number:
2018-151
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Country of Origin:
United States

Citation Formats

Ravache, Baptiste. Decision-support and Emissions Prediction Interactive Cities Tool. Computer Software. USDOE, CP Development Company LLC, Lennar Concord LLC. 24 Jan. 2019. Web. doi:10.11578/dc.20210722.1.
Ravache, Baptiste. (2019, January 24). Decision-support and Emissions Prediction Interactive Cities Tool. [Computer software]. https://doi.org/10.11578/dc.20210722.1.
Ravache, Baptiste. "Decision-support and Emissions Prediction Interactive Cities Tool." Computer software. January 24, 2019. https://doi.org/10.11578/dc.20210722.1.
@misc{ doecode_61025,
title = {Decision-support and Emissions Prediction Interactive Cities Tool},
author = {Ravache, Baptiste},
abstractNote = {The Decision-support and Emissions Prediction Interactive Cities Tool (DEPICT) aims at predicting the cross-sectoral (building construction, operation and vehicles) energy consumption and greenhouse gases emissions at campus and urban scale. It leverages capabilities of multiple modeling tools: EnergyPlus for building operation, CalEEMod for building construction and gas vehicle, BEAM for electric vehicles and SAM for building–integrated photovoltaics. It distinguishes from other cross-sectoral model such as CalEEMod or BEST in that it uses physical models, rather than empirical models, for all sectors, which allows for a more accurate and customizable quantification. It is relevant for short-term multi-sectoral decision making by developers and city planners and long-term policy making by municipal and state officials. Information about all the developers},
doi = {10.11578/dc.20210722.1},
url = {https://doi.org/10.11578/dc.20210722.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210722.1}},
year = {2019},
month = {jan}
}