Computational framework for behind-the-meter DER techno-economic modeling and optimization: REopt Lite

被引:0
|
作者
Sakshi Mishra
Josiah Pohl
Nick Laws
Dylan Cutler
Ted Kwasnik
William Becker
Alex Zolan
Kate Anderson
Dan Olis
Emma Elgqvist
机构
[1] National Renewable Energy Laboratory,Integrated Applications Center
来源
Energy Systems | 2022年 / 13卷
关键词
Renewable energy optimization; Mixed-integer-linear-programming; JuMP model; Behind-the-meter DERs; Microgrid design; Open-source energy software; Energy modeling;
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学科分类号
摘要
The energy system is undergoing a major transformation with the global emphasis on decarbonization. Distributed generation is projected to play a significant role in the new energy system, and energy models are informing how distributed generation can be integrated reliably and economically. In this work, we present an end-to-end computational framework for distributed energy resource (DER) modeling, REopt Lite™, which captures the interface of technology, economics, and policy in the energy modeling process. We describe the problem space, the building blocks of the model, the scaling capabilities of the design, the optimization formulation, and the extensibility of the model. We present a framework for accelerating the techno-economic analysis of behind-the-meter distributed energy resources to enable rapid planning and decision-making, thereby enabling greater renewable energy deployment. This computation framework is open-sourced to facilitate transparency, flexibility, and wider collaboration opportunities within the worldwide energy modeling community.
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页码:509 / 537
页数:28
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