Computational Framework for Behind-the-Meter DER Techno-Economic Modeling and Optimization: REopt Lite

Sakshi Mishra, Josiah Pohl, Nick Laws, Dylan Cutler, Ted Kwasnik, William Becker, Alex Zolan, Kate Anderson, Dan Olis, Emma Elgqvist

Research output: Contribution to journalArticlepeer-review

7 Scopus Citations

Abstract

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.

Original languageAmerican English
Pages (from-to)509-537
Number of pages29
JournalEnergy Systems
Volume13
Issue number2
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

NREL Publication Number

  • NREL/JA-7A40-77232

Keywords

  • Behind-the-meter DERs
  • Energy modeling
  • JuMP model
  • Microgrid design
  • Mixed-integer-linear-programming
  • Open-source energy software
  • Renewable energy optimization

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