wmpy-power: A Python package for process-based regional hydropower simulation

Journal Article · 08 November 2024 · Journal of Open Source Software

DOI: https://doi.org/10.21105/joss.07225 · OSTI ID:2496720

Thurber, Travis B.  ^[1]; Broman, Daniel  ^[1]; Zhou, Tian  ^[1]; Voisin, Nathalie  ^[2]

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1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
2. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Univ. of Washington, Seattle, WA (United States)

Hydropower is an important source of renewable energy in many parts of the world. The generation potential for a hydropower facility can vary greatly due to fluctuations in precipitation and snowmelt patterns impacting streamflow and reservoir storage. Human activities such as irrigation, manufacturing, and hydration can also influence water availability at nearby and downstream facilities. wmpy-power--the hydropower model described in this work--is process-based, leveraging explicit reservoir storage and release data to address impacts on hydropower from climate change and human adaptive behaviors to inform long-term planning and resource-adequacy considerations.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 2496720
• Report Number(s): PNNL-SA--200462
• Journal Information: Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 103 Vol. 9; ISSN 2475-9066
• Publisher: Open Source Initiative - NumFOCUSCopyright Statement
• Country of Publication: United States
• Language: English