Application of Optimization Techniques for Searching Optimal Reservoir Rule Curves: A Review

Abstract

This paper reviews applications of optimization techniques connected with reservoir simulation models to search for optimal rule curves. The literature reporting the search for suitable reservoir rule curves is discussed and examined. The development of optimization techniques for searching processes are investigated by focusing on fitness function and constraints. There are five groups of optimization algorithms that have been applied to find the optimal reservoir rule curves: the trial and error technique with the reservoir simulation model, dynamic programing, heuristic algorithm, swarm algorithm, and evolutionary algorithm. The application of an optimization algorithm with the considered reservoirs is presented by focusing on its efficiency to alleviate downstream flood reduction and drought mitigation, which can be explored by researchers in wider studies. Finally, the appropriate future rule curves that are useful for future conditions are presented by focusing on climate and land use changes as well as the participation of stakeholders. In conclusion, this paper presents the suitable conditions for applying optimization techniques to search for optimal reservoir rule curves to be effectively applied in future reservoir operations.

Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves

“…In August (x 8 , y 8 ), the water level rises further compared to July (x 7 , y 7 ), reaching its peak during the last rainy season in October (x 10 , y 10 ) and extending until the end of December (x 12 , y 12 ). This pattern aligns with the seasonal streamflow patterns observed in Thailand [2,48,73]. To incorporate the smoothing function constraints into the fitness function, the following procedure was employed in the reservoir simulation model to optimize the rule curves:…”

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Guidelines for the Waste Management Development Leading to Mahasarakham University Becoming a Green University

“…The Global Development Agenda considered management, job creation and support for tourists, the social sustainability that considered infrastructure development and local cultural conservation. It also addressed environmental sustainability considering the effects of human's actions resulting in wastes that were environmental pollution [2,3]. In 2017, Thailand set sustainable development goals of the 20 Year National Strategies and made the Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”

Enhancing Green University Practices through Effective Waste Management Strategies

“…The Global Development Agenda considered management, job creation and support for tourists and also social sustainability, considering infrastructure development and local cultural conservation. It also addressed environmental sustainability, considering the effects of human actions resulting in waste and environmental pollution [2,3]. In 2017, Thailand set out its sustainable development goals in its 20-Year National Strategy and formulated the 12th National Economic and Social Development Plan for preparing and creating the foundations for transforming Thailand into a developed, secure, prosperous and sustainable country.…”