Reservoir Operating Rule Optimization for California's Sacramento Valley

<p class="p1">doi: <a href="http://dx.doi.org/10.15447/sfews.2016v14iss1art6" target="_blank">http://dx.doi.org/10.15447/sfews.2016v14iss1art6</a></p><p class="p1">Reservoir operating rules for water resource systems are typically...

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Main Authors: Timothy Nelson, Rui Hui, Jay Lund, Josué Medellín–Azuara
Format: Article
Language:English
Published: eScholarship Publishing, University of California 2016-03-01
Series:San Francisco Estuary and Watershed Science
Subjects:
Online Access:http://escholarship.org/uc/item/4cp4767v
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author Timothy Nelson
Rui Hui
Jay Lund
Josué Medellín–Azuara
author_facet Timothy Nelson
Rui Hui
Jay Lund
Josué Medellín–Azuara
author_sort Timothy Nelson
collection DOAJ
description <p class="p1">doi: <a href="http://dx.doi.org/10.15447/sfews.2016v14iss1art6" target="_blank">http://dx.doi.org/10.15447/sfews.2016v14iss1art6</a></p><p class="p1">Reservoir operating rules for water resource systems are typically developed by combining intuition, professional discussion, and simulation modeling. This paper describes a joint optimization–simulation approach to develop preliminary economically-based operating rules for major reservoirs in California’s Sacramento Valley, based on optimized results from CALVIN, a hydro-economic optimization model. We infer strategic operating rules from the optimization model results, including storage allocation rules to balance storage among multiple reservoirs, and reservoir release rules to determine monthly release for individual reservoirs. Results show the potential utility of considering previous year type on water availability and various system and sub-system storage conditions, in addition to normal consideration of local reservoir storage, season, and current inflows. We create a simple simulation to further refine and test the derived operating rules. Optimization model results show particular insights for balancing the allocation of water storage among Shasta, Trinity, and Oroville reservoirs over drawdown and refill seasons, as well as some insights for release rules at major reservoirs in the Sacramento Valley. We also discuss the applicability and limitations of developing reservoir operation rules from optimization model results.</p>
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spelling doaj.art-3ebe8dfcd899421d9c52603c254543a02022-12-21T17:49:06ZengeScholarship Publishing, University of CaliforniaSan Francisco Estuary and Watershed Science1546-23662016-03-01141ark:13030/qt4cp4767vReservoir Operating Rule Optimization for California's Sacramento ValleyTimothy Nelson0Rui Hui1Jay Lund2Josué Medellín–Azuara3Department of Civil and Environmental Engineering University of California, DavisDepartment of Civil and Environmental Engineering University of California, DavisDepartment of Civil and Environmental Engineering University of California, DavisDepartment of Civil and Environmental Engineering University of California, Davis<p class="p1">doi: <a href="http://dx.doi.org/10.15447/sfews.2016v14iss1art6" target="_blank">http://dx.doi.org/10.15447/sfews.2016v14iss1art6</a></p><p class="p1">Reservoir operating rules for water resource systems are typically developed by combining intuition, professional discussion, and simulation modeling. This paper describes a joint optimization–simulation approach to develop preliminary economically-based operating rules for major reservoirs in California’s Sacramento Valley, based on optimized results from CALVIN, a hydro-economic optimization model. We infer strategic operating rules from the optimization model results, including storage allocation rules to balance storage among multiple reservoirs, and reservoir release rules to determine monthly release for individual reservoirs. Results show the potential utility of considering previous year type on water availability and various system and sub-system storage conditions, in addition to normal consideration of local reservoir storage, season, and current inflows. We create a simple simulation to further refine and test the derived operating rules. Optimization model results show particular insights for balancing the allocation of water storage among Shasta, Trinity, and Oroville reservoirs over drawdown and refill seasons, as well as some insights for release rules at major reservoirs in the Sacramento Valley. We also discuss the applicability and limitations of developing reservoir operation rules from optimization model results.</p>http://escholarship.org/uc/item/4cp4767voptimization, operating rules, reservoir release rules, system simulation
spellingShingle Timothy Nelson
Rui Hui
Jay Lund
Josué Medellín–Azuara
Reservoir Operating Rule Optimization for California's Sacramento Valley
San Francisco Estuary and Watershed Science
optimization, operating rules, reservoir release rules, system simulation
title Reservoir Operating Rule Optimization for California's Sacramento Valley
title_full Reservoir Operating Rule Optimization for California's Sacramento Valley
title_fullStr Reservoir Operating Rule Optimization for California's Sacramento Valley
title_full_unstemmed Reservoir Operating Rule Optimization for California's Sacramento Valley
title_short Reservoir Operating Rule Optimization for California's Sacramento Valley
title_sort reservoir operating rule optimization for california s sacramento valley
topic optimization, operating rules, reservoir release rules, system simulation
url http://escholarship.org/uc/item/4cp4767v
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AT josuemedellinazuara reservoiroperatingruleoptimizationforcaliforniassacramentovalley