Hydropower representation in water and energy system models: a review of divergences and call for reconciliation

Journal Article · 08 February 2023 · Environmental Research: Infrastructure and Sustainability

DOI: https://doi.org/10.1088/2634-4505/acb6b0 · OSTI ID:1923946

Rheinheimer, David E. ; Tarroja, Brian ; Rallings, Anna M. ; Willis, Ann D. ; Viers, Joshua H.

Abstract Reservoir-based hydropower systems represent key interactions between water and energy systems and are being transformed under policy initiatives driven by increasing water and energy demand, the desire to reduce environmental impacts, and interacting effects of climate change. Such policies are often guided by complex system models, whereby divergence in system representations can potentially translate to incompatible planning outcomes, thereby undermining any planning that may rely on them. We review different approaches and assumptions in hydropower representation in water and energy systems. While the models and issues are relevant globally, the review focuses on applications in California given its extensive development of energy and water models for policy planning, but discusses the extent to which these observations apply to other regions. Structurally, both water-driven and energy-driven management models are similar. However, in energy models, hydropower is often represented as a single-priority output. Water management models typically allocate water for competing priorities, which are generally uninformed by dynamic electricity load demand, and often result in a lower priority for hydropower. In water models, constraints are increasingly resolved for non-energy components (e.g. inflow hydrology and non-energy water demand); few analogues exist for energy models. These limitations may result in inadequate representations of each respective sector, and vastly different planning outcomes for the same facilities between the two different sectors. These divergent modeling approaches manifest themselves in California where poorly reconciled outcomes may affect decisions in hydropower licensing, electricity grid flexibility and decarbonization, and planning for environmental water. Fully integrated water-energy models are computationally intensive and specific to certain regions, but better representation of each domain in respective efforts would help reconcile divergences in planning and management efforts related to hydropower across energy and water systems.

• Sponsoring Organization: USDOE
• Grant/Contract Number: IA0000018
• OSTI ID: 1923946
• Journal Information: Environmental Research: Infrastructure and Sustainability, Journal Name: Environmental Research: Infrastructure and Sustainability Journal Issue: 1 Vol. 3; ISSN 2634-4505
• Publisher: IOP PublishingCopyright Statement
• Country of Publication: United Kingdom
• Language: English