Planning & Management

Oral

394694 - An open-source implementation of California’s hydroeconomic model

Tuesday, June 5
8:30 AM - 10:00 AM
Location: Greenway GH
Co-Authors: Max Fefer, Davis, CA – University of California, Davis; Jonathan Herman, Davis, CA – University of California, Davis; Quinn Hart, Davis, CA – University of California, Davis; Justin Merz, Davis, CA – University of California, Davis; Josue Medellin-Azuara, Merced, CA – University of California, Merced; Jay Lund, Davis, CA – University of California, Davis

Hydroeconomic models help decision makers easily compare different policy and management scenarios to increase benefits or decrease costs of managing water, serving as a framework for multidisciplinary decision-making. This presentation describes a new open-source implementation of the CALVIN hydroeconomic optimization model for California’s water supply system.. The model is cross-platform, uses open data formats and a generalized programming language (Python), and connects to multiple state-of-the-art linear programming solvers. The model can more flexibly represent water supply and hydropower, groundwater pumping, and the Sacramento-San Joaquin Delta water operations and requirements. The use of widely available scientific computing libraries , simplifies data collaboration, transparency, and communication with other models built with a similar environment. The updated model also is capable of running scenario ensembles in parallel on a high-performance computing cluster. These updates also enable to evaluate several different climate and demand scenarios in shorter amount of time. Key outputs include water shortage costs and marginal values of storage and conveyance capacity. These outputs provide insight into reservoir, agricultural, and urban water operations in California. Runtimes with the updated model reduced by two orders of magnitude relative to the original model when no initial solution is provided. This new version of CALVIN serves as a cross-platform, extensible model to evaluate systemwide water operations. Results indicate a shift in optimal reservoir operations and high marginal value of additional reservoir storage in the winter months.

Mustafa S. Dogan, MS

Graduate Student
University of California, Davis

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