Multi-Objective Optimization of Hydropower and Agricultural Development at River Basin Scale
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The need for achieving efficient, equitable and sustainable use of water resources to meet water demands of different sectors is necessary, particularly in areas where water resources are decreasing. In the basins where water is required for both energy production and irrigation, allocation of water resources must be planned in such a way that both objectives can be achieved. In this research, a simulation-optimization approach has been used to solve the problem of optimal planning at the watershed scale. The water evaluation and planning system (WEAP) simulation model link with the multi-objective particle swarm optimization (MOPSO) model for optimal long term planning at the basin scale. Therefore, the objective functions of the problem are 1) maximize the cultivation area of agricultural development sectors and 2) maximize the energy produced by the hydropower plant. The developed simulation-optimization model was employed in the problem of optimal water resources planning in the Kashkan river basin in the west of Iran. The Pareto front obtained represents the best trade-off between hydropower and agricultural development in the basin and can be used for water-energy-food nexus planning. For example one of the solutions of Pareto front, in addition to an increase of about 8% of the objective function 2 (generated energy), the value of the objective function 1 (cultivation area) is approximately 5 times higher than the results of previous studies. This demonstrates the proper performance of the simulation-optimization model in the optimal allocation and planning of water resources at the basin scale based on the water-energy-food nexus approach.
KeywordsHydropower Multiobjective Optimization MOPSO WEAP Water resources planning Agricultural development
This research has been supported by the research grant no. 600/1181 funded by Shahid Beheshti University, Tehran, Iran.
Compliance with Ethical Standards
Conflict of Interest
There is no conflict of interest.
- Bonner V (1989) HEC-5: simulation of flood control and conservation systems (for microcomputers). Modelsimulation. Hydrologic Engineering Center, DavisGoogle Scholar
- Environment DW (2006) MIKE basin simulation model: a versatile decision support tool for integrated water resources management and planning, Horshelm. http://www.dhisoftware.com/mikebasin/index
- Hatamkhani A, Alizadeh H (2018) Clean-development-mechanism-based optimal hydropower capacity design. J Hydroinf 20(6):1401–1418Google Scholar
- Hydraulics D (1991) RIBASIM River basin simulation. Project completion report to Water Resources Commission, TaipeiGoogle Scholar
- Hong WC (2008) Rainfall forecasting by technological machine learning models. Appl Math Comput 200(1):41–57Google Scholar
- Gill MK, Kaheil YH, Khalil A, McKee M, Bastidas L (2006) Multi-objective particle swarm optimization for parameter estimation in hydrology. Water Resour Res 42(7)Google Scholar
- Kennedy J, Eberhart RC (1995) Particle swarm optimization. Proc. IEEE Int. Conf. on Neural Networks IEEE Service Center, Piscataway, pp 1942–1948Google Scholar
- Labadie J (1995) MODSIM: River basin network flow model for conjunctive stream-aquifer management. Program User Manual and Documentation, Colorado State UniversityGoogle Scholar
- Mahab Ghods Consulting Engineers (2011) Systematic Studies of Karkheh BasinGoogle Scholar
- Parsopoulos KE, Vrahatis MN (2002) Particle swarm optimization method in multiobjective problems. In: Proceedings of the 2002 ACM symposium on applied computing ACM 603–607Google Scholar
- Razi Khosroshahi M, Mousavi SJ, Alizadeh H (2015) Upstream Effects on Aras Cascade Hydropower Plants System. 10th International Congress on Civil Engineering University of TabrizGoogle Scholar
- SEI (1999) WEAP: water evaluation and planning. Tellus Institute, BostonGoogle Scholar
- Sieber J, Purkey D (2011) WEAP: Water Evaluation And Planning System. Stockholm Environment Institute, US Center, SomervilleGoogle Scholar
- Sidiropoulos E, Fotakis D (2016) Spatial water resource allocation using a multi-objective ant colony optimization. European Water 55:41–51Google Scholar
- Zhao X, Harbor J, Engel B, Theller L, Yu F, Cao G, Cui Y, Tang W, Zhang M (2018) Analysis of food-energy-water nexus based on competitive uses of stream flows of BeiChuan River in eastern QingHai-Tibet Plateau, China. Environ. Prog. Sustainable Energy 37:62–72Google Scholar