An optimization algorithm-based pinch analysis and GA for an off-grid batteryless photovoltaic-powered reverse osmosis desalination system |
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| Affiliation: | 1. Vellore Institute of Technology University, Chennai Campus, India;2. Indian Institute of Technology Madras, Chennai, India;1. Environmental and Energy Systems Research Division, Korea Institute of Machinery & Materials, Daejeon 305-343, Republic of Korea;2. Department of Environment and Energy Mechanical Engineering, University of Science and Technology, Daejeon 305-350, Republic of Korea;1. UEMS, Curso de Química, 79804-970, Dourados, MS, Brazil;2. UFRGS, Instituto de Química, 91501-970, Porto Alegre, RS, Brazil;3. INCT-E&A, Instituto Nacional de Ciência e Tecnologia em Energia e Meio Ambiente, Salvador, BA, Brazil;1. ENEA, National Agency for New Technologies, Energy and Suistainable Economic Development UTTRI S.S. 106 Ionica, km 419+500 – 75026 Matera, Italy;2. University of Calabria, Department of Chemical Engineering and Materials, Via P. Bucci Cubo 44a, I-87036, Arcavacata di Rende, CS, Italy |
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| Abstract: | Freshwater pinch analysis (FWaPA) as an extended pinch analysis technique has been proposed for retrofitting the off-grid batteryless photovoltaic-powered reverse osmosis system (PVS-RO) with a water storage tank to minimize the required outsourced freshwater. The freshwater composite curve (FWaCC) as the graphical tool, and freshwater storage cascade table (FWaSCT) as the numerical tool of the FWaPA are introduced to determine the optimal delivered electricity to the RO system, water storage tank capacity, and wasted electricity in each time-interval with minimized outsourced freshwater. A multi-objective optimization algorithm by combining FWaPA numerical tool and genetic algorithm (FWaPA-GA) minimizes three objective functions including required outsourced freshwater during first operation year, outsourced freshwater during normal operation year, and total annual cost of the system to obtain the optimal number of PV panels, membranes, and capacity of water storage tank. The FWaPA-GA was implemented to find optimal design of an off-grid PVS-RO-WT system for a case study in Kish island, Iran. The results clearly represented that the FWaPA-GA can be used to grassroots design of the desalination systems with renewable energy sources, where the designed PVS-RO-WT system for the case study needs 178.5 m3 freshwater to provide 10 m3/d freshwater-on-demand with the total annual cost of 13,652 $/year. |
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| Keywords: | Photovoltaic-powered reverse osmosis Freshwater pinch analysis Multi-objective optimization Water storage tank Genetic algorithm |
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