Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms
Optimal design of combined cooling, heating and power (CCHP) generation systems is presented in this paper. The goal of this study is comparison of a new operational strategy named variable electric cooling ratio (VER) with constant electric cooling ratio (CER) for different climates including hot,...
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| Format: | Article |
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Elsevier Ltd.
2015
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| _version_ | 1796860404366835712 |
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| author | Hajabdollahi, Hassan Ganjehkaviri, Abdolsaeid Mohd. Jaafar, Mohammad Nazri |
| author_facet | Hajabdollahi, Hassan Ganjehkaviri, Abdolsaeid Mohd. Jaafar, Mohammad Nazri |
| author_sort | Hajabdollahi, Hassan |
| collection | ePrints |
| description | Optimal design of combined cooling, heating and power (CCHP) generation systems is presented in this paper. The goal of this study is comparison of a new operational strategy named variable electric cooling ratio (VER) with constant electric cooling ratio (CER) for different climates including hot, cold and moderate. In VER strategy, the share of absorption and electrical chillers supply load could vary during a year while in CER strategy it is constant. The gas engine is selected as prime mover and Particle Swarm Optimization (PSO) method is used to select the optimum CCHP equipments by maximizing the Relative Annual Benefit (RAB) as a new objective function. Optimization Results show that VER strategy, provides more benefit in comparison with CER strategy in all the studied climates. VER strategy shows 12.71%, 5.84% and 10.92% growth in optimum value of RAB in comparison with CER in the case of hot, cold and moderate climates, respectively. Furthermore, the optimum results demonstrate that a gas engine with higher nominal capacity is needed in VER compared with CER strategy. Results show that the VER strategy is a good alternative for following the cooling load in the CCHP operational strategy since it gives a good increment in RAB. Finally the optimum results of PSO algorithm is compared with Genetic Algorithm and differences are reported. |
| first_indexed | 2024-03-05T19:40:51Z |
| format | Article |
| id | utm.eprints-57913 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:40:51Z |
| publishDate | 2015 |
| publisher | Elsevier Ltd. |
| record_format | dspace |
| spelling | utm.eprints-579132022-04-05T04:48:41Z http://eprints.utm.my/57913/ Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms Hajabdollahi, Hassan Ganjehkaviri, Abdolsaeid Mohd. Jaafar, Mohammad Nazri TJ Mechanical engineering and machinery Optimal design of combined cooling, heating and power (CCHP) generation systems is presented in this paper. The goal of this study is comparison of a new operational strategy named variable electric cooling ratio (VER) with constant electric cooling ratio (CER) for different climates including hot, cold and moderate. In VER strategy, the share of absorption and electrical chillers supply load could vary during a year while in CER strategy it is constant. The gas engine is selected as prime mover and Particle Swarm Optimization (PSO) method is used to select the optimum CCHP equipments by maximizing the Relative Annual Benefit (RAB) as a new objective function. Optimization Results show that VER strategy, provides more benefit in comparison with CER strategy in all the studied climates. VER strategy shows 12.71%, 5.84% and 10.92% growth in optimum value of RAB in comparison with CER in the case of hot, cold and moderate climates, respectively. Furthermore, the optimum results demonstrate that a gas engine with higher nominal capacity is needed in VER compared with CER strategy. Results show that the VER strategy is a good alternative for following the cooling load in the CCHP operational strategy since it gives a good increment in RAB. Finally the optimum results of PSO algorithm is compared with Genetic Algorithm and differences are reported. Elsevier Ltd. 2015 Article PeerReviewed Hajabdollahi, Hassan and Ganjehkaviri, Abdolsaeid and Mohd. Jaafar, Mohammad Nazri (2015) Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms. Applied Thermal Engineering, 75 . pp. 468-480. ISSN 1359-4311 http://dx.doi.org/10.1016/j.applthermaleng.2014.09.033 DOI:10.1016/j.applthermaleng.2014.09.033 |
| spellingShingle | TJ Mechanical engineering and machinery Hajabdollahi, Hassan Ganjehkaviri, Abdolsaeid Mohd. Jaafar, Mohammad Nazri Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms |
| title | Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms |
| title_full | Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms |
| title_fullStr | Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms |
| title_full_unstemmed | Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms |
| title_short | Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms |
| title_sort | assessment of new operational strategy in optimization of cchp plant for different climates using evolutionary algorithms |
| topic | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT hajabdollahihassan assessmentofnewoperationalstrategyinoptimizationofcchpplantfordifferentclimatesusingevolutionaryalgorithms AT ganjehkaviriabdolsaeid assessmentofnewoperationalstrategyinoptimizationofcchpplantfordifferentclimatesusingevolutionaryalgorithms AT mohdjaafarmohammadnazri assessmentofnewoperationalstrategyinoptimizationofcchpplantfordifferentclimatesusingevolutionaryalgorithms |