HOPE: Holistic Optimization Program for Electricity

In this paper, we present a novel open-source electricity systems optimization tool, the Holistic Optimization Program for Electricity (HOPE), to assess emerging generation technology, inform policy design, and support planning. With a highly transparent, interpretable, and compact model design, HOPE easily allows user access and modification, serving its main goal to benefit users beyond engineer communities and facilitate collaboration across the science-policy boundary. By activating different modes, the current version of HOPE (v1.0) offers flexibility in serving as either a Generation and Transmission Expansion Planning tool (GTEP) or a Production Cost Modelling tool (PCM). It includes modelling features such as long-term resource investments, short-term system operations, and a detailed representation of policies across various levels of regulated institutions. This paper outlines the building blocks of the model and its software structure. Case study results from using HOPE for the state of Maryland as well as the Pennsylvania-New Jersey-Maryland (PJM) footprint are also provided.

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Publication Details

Journal
SoftwareX
Published
2024-11-21
DOI
https://doi.org/10.1016/j.softx.2024.101982
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21

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article

HOPE: Holistic Optimization Program for Electricity

Mahdi Mehrtash, Ziqi Song, Benjamin F. Hobbs, Shen Wang
1 citations
SoftwareX
Integrated Energy Systems Optimization
0.21
article

HOPE: Holistic Optimization Program for Electricity

Mahdi Mehrtash, Ziqi Song, Benjamin F. Hobbs, Shen Wang
article en
1 citations

Abstract

In this paper, we present a novel open-source electricity systems optimization tool, the Holistic Optimization Program for Electricity (HOPE), to assess emerging generation technology, inform policy design, and support planning. With a highly transparent, interpretable, and compact model design, HOPE easily allows user access and modification, serving its main goal to benefit users beyond engineer communities and facilitate collaboration across the science-policy boundary. By activating different modes, the current version of HOPE (v1.0) offers flexibility in serving as either a Generation and Transmission Expansion Planning tool (GTEP) or a Production Cost Modelling tool (PCM). It includes modelling features such as long-term resource investments, short-term system operations, and a detailed representation of policies across various levels of regulated institutions. This paper outlines the building blocks of the model and its software structure. Case study results from using HOPE for the state of Maryland as well as the Pennsylvania-New Jersey-Maryland (PJM) footprint are also provided.

SoftwareXVol. 29
University of Nevada, Reno (US), Johns Hopkins University Applied Physics Laboratory (US), University of California San Diego (US), Massachusetts Institute of Technology (US)
State of Maryland, Maryland Environmental Service
Openalex Percentile: Top 46%
Integrated Energy Systems Optimization
0.21
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