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Ahmadi, Mohammad Hossein
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Chemistry Energy

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Journal : International Journal of Renewable Energy Development

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Modeling and PSO optimization of Humidifier-Dehumidifier desalination Ahmadi, Mohammad Hossein; Afshar, Mohammad Ali; Naseri, Ali; Bidi, Mokhtar; Hadiyanto, H.
International Journal of Renewable Energy Development Vol 7, No 1 (2018): February 2018
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.7.1.59-64

Abstract

The aim of this study is modeling a solar-air heater humidification-dehumidification unit with applying particle swarm optimization to find out  the maximum gained output ratio with respect to the mass flow rate of water and air entering humidifier, mass flow rate of cooling water entering dehumidifier, width and length of solar air heater and terminal temperature difference (TTD) of dehumidifier representing temperature difference of inlet cooling water and saturated air to dehumidifier as its decision variable. A sensitivity analysis, furthermore, is performed to distinguish the effect of operating parameters including mass flow rate and streams’ temperature. The results showed that the optimum productivity decreases by decreasing the ratio of mass flow rate of water entering humidifier to air ones.Article History: Received: July 12th 2017; Revised: December 15th 2017; Accepted: 2nd February 2018; Available onlineHow to Cite This Article: Afshar, M.A., Naseri, A., Bidi, M., Ahmadi, M.H. and Hadiyanto, H. (2018) Modeling and PSO Optimization of Humidifier-Dehumidifier Desalination. International Journal of Renewable Energy Development, 7(1),59-64.https://doi.org/10.14710/ijred.7.1.59-64
Multi-Criteria Decision Making (MCDM) Approach for Selecting Solar Plants Site and Technology: A Review Ghasempour, Roghayeh; Alhuyi Nazari, Mohammad; Ebrahimi, Morteza; Ahmadi, Mohammad Hossein; Hadiyanto, H.
International Journal of Renewable Energy Development Vol 8, No 1 (2019): February 2019
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.8.1.15-25

Abstract

Renewable energies have many advantages and their importance is rising owing to gravely mounting concerns for environmental issues and lack of fossil fuels in the future. Solar energy, well acknowledged as an inexhaustible source of energy, is developing dramatically for different purposes such as desalination and electricity generation. Appropriate solar power plant is very important factor for power generation due to its cost and other constraints. The applied technology is as important as the solar power plants location.  In this paper, a wide variety multi criteria decision making (MCDM) methods, investigated by various researchers, are presented to obtain effective criteria in selecting solar plants sites and solar plants technologies. There is not any comprehensive research providing all required criteria for decision making for site and technology selection. Based on the reviewed researches, weight of each criterion depends on many factors such as region, economy, accessibility, power network, maintenance costs, operating costs, etc. The important criteria for site selection are represented and investigated thoroughly in this review paper.© 2019. CBIORE-IJRED. All rights reservedArticle History: Received June 17th 2017; Received in revised form March 7th 2018; Accepted June 16th 2018; Available onlineHow to Cite This Article: Ghasempour, R., Nazari, M.A., Ebrahimi, M., Ahmadi, M.H. and Hadiyanto, H. (2019) Multi-Criteria Decision Making (MCDM ) Approach for Selecting Solar Plants Site and Technology: A Review. Int Journal of Renewable Energy Development, 8(1), 15-25.https://doi.org/10.14710/ijred.8.1.15-25
Co-Authors Afshar, Mohammad Ali Alhuyi Nazari, Mohammad Bidi, Mokhtar Ebrahimi, Morteza Ghasempour, Roghayeh H Hadiyanto Naseri, Ali