Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves
This paper presents a comprehensive review of optimization algorithms utilized in reservoir simulation-optimization models, specifically focusing on determining optimal rule curves. The study explores critical conditions essential for the optimization process, including inflow data, objective and sm...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/13/2501 |
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| author | Krit Sriworamas Haris Prasanchum Seyed Mohammad Ashrafi Rattana Hormwichian Rapeepat Techarungruengsakul Ratsuda Ngamsert Teerajet Chaiyason Anongrit Kangrang |
| author_facet | Krit Sriworamas Haris Prasanchum Seyed Mohammad Ashrafi Rattana Hormwichian Rapeepat Techarungruengsakul Ratsuda Ngamsert Teerajet Chaiyason Anongrit Kangrang |
| author_sort | Krit Sriworamas |
| collection | DOAJ |
| description | This paper presents a comprehensive review of optimization algorithms utilized in reservoir simulation-optimization models, specifically focusing on determining optimal rule curves. The study explores critical conditions essential for the optimization process, including inflow data, objective and smoothing functions, downstream water demand, initial reservoir characteristics, evaluation scenarios, and stop criteria. By examining these factors, the paper provides valuable insights into the effective application of optimization algorithms in reservoir operations. Furthermore, the paper discusses the application of popular optimization algorithms, namely the genetic algorithm (GA), particle swarm optimization (PSO), cuckoo search (CS), and tabu search (TS), highlighting how researchers can utilize them in their studies. The findings of this review indicate that identifying optimal conditions and considering future scenarios contribute to the derivation of optimal rule curves for anticipated situations. The implementation of these curves can significantly enhance reservoir management practices and facilitate the resolution of water resource challenges, such as floods and droughts. |
| first_indexed | 2024-03-11T01:24:59Z |
| format | Article |
| id | doaj.art-ec5a7bf09c66436faefd57256eb1efe2 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T01:24:59Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-ec5a7bf09c66436faefd57256eb1efe22023-11-18T17:49:14ZengMDPI AGWater2073-44412023-07-011513250110.3390/w15132501Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule CurvesKrit Sriworamas0Haris Prasanchum1Seyed Mohammad Ashrafi2Rattana Hormwichian3Rapeepat Techarungruengsakul4Ratsuda Ngamsert5Teerajet Chaiyason6Anongrit Kangrang7Faculty of Engineering, Ubonratchathani University, Ubonratchathani 34190, ThailandFaculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus, Khon Kaen 40000, ThailandDepartment of Civil Engineering, Faculty of Civil Engineering and Architecture, Shahid Chamran University of Ahvaz, Ahvaz 83151-61355, IranFaculty of Engineering, Mahasarakham University, Kantarawichai, Maha Sarakham 44150, ThailandFaculty of Engineering, Mahasarakham University, Kantarawichai, Maha Sarakham 44150, ThailandFaculty of Engineering, Mahasarakham University, Kantarawichai, Maha Sarakham 44150, ThailandFaculty of Engineering, Mahasarakham University, Kantarawichai, Maha Sarakham 44150, ThailandFaculty of Engineering, Mahasarakham University, Kantarawichai, Maha Sarakham 44150, ThailandThis paper presents a comprehensive review of optimization algorithms utilized in reservoir simulation-optimization models, specifically focusing on determining optimal rule curves. The study explores critical conditions essential for the optimization process, including inflow data, objective and smoothing functions, downstream water demand, initial reservoir characteristics, evaluation scenarios, and stop criteria. By examining these factors, the paper provides valuable insights into the effective application of optimization algorithms in reservoir operations. Furthermore, the paper discusses the application of popular optimization algorithms, namely the genetic algorithm (GA), particle swarm optimization (PSO), cuckoo search (CS), and tabu search (TS), highlighting how researchers can utilize them in their studies. The findings of this review indicate that identifying optimal conditions and considering future scenarios contribute to the derivation of optimal rule curves for anticipated situations. The implementation of these curves can significantly enhance reservoir management practices and facilitate the resolution of water resource challenges, such as floods and droughts.https://www.mdpi.com/2073-4441/15/13/2501optimization techniquesimulation modelrule curvereservoir operationwater scarcity |
| spellingShingle | Krit Sriworamas Haris Prasanchum Seyed Mohammad Ashrafi Rattana Hormwichian Rapeepat Techarungruengsakul Ratsuda Ngamsert Teerajet Chaiyason Anongrit Kangrang Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves Water optimization technique simulation model rule curve reservoir operation water scarcity |
| title | Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves |
| title_full | Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves |
| title_fullStr | Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves |
| title_full_unstemmed | Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves |
| title_short | Concern Condition for Applying Optimization Techniques with Reservoir Simulation Model for Searching Optimal Rule Curves |
| title_sort | concern condition for applying optimization techniques with reservoir simulation model for searching optimal rule curves |
| topic | optimization technique simulation model rule curve reservoir operation water scarcity |
| url | https://www.mdpi.com/2073-4441/15/13/2501 |
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