Multi-objective optimization of a photovoltaic thermal-compound sensible rotary heat exchanger system using exergo-economic and enviro-economic approaches
This paper presents exergo-economic and enviro-economic assessment of a novel building integrated photovoltaic thermal-compound sensible rotary heat exchanger (BIPVT-SRHX) system. The innovative BIPVT-SRHX system preheats/precools the outdoor air in winter/summer and generates electric power. The pe...
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Published in | Journal of environmental management Vol. 254; p. 109767 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
15.01.2020
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Abstract | This paper presents exergo-economic and enviro-economic assessment of a novel building integrated photovoltaic thermal-compound sensible rotary heat exchanger (BIPVT-SRHX) system. The innovative BIPVT-SRHX system preheats/precools the outdoor air in winter/summer and generates electric power. The performance of the system are analyzed from the energy/exergy viewpoints for Kermanshah, Iran climatic conditions. Then, the multi-objective genetic algorithm (MOGA) optimization is used to optimize to determine the optimum values of geometric and operating parameters in order to maximize the annual average exergo-economic and enviro-economic aspects of the system. The considered geometric and operating parameters include the length, width and depth of the air channel located underneath the PV modules, the air mass flow rate, and the diameter, rotational velocity and length of the SRHX. Moreover, the annual performance of the optimized and non-optimized BIPVT-SRHX systems are compared. The results showed that the annual average exergo-economic and enviro-economic aspects of the optimized BIPVT-SRHX system are 0.0076 $/annum and 246.9 kWh/$, respectively. Furthermore, it was found that the annual average enviro-economic aspect, annual average exergo-economic aspect, and yearly sum of CO2 mitigation of the optimized BIPVT-SRHX system are respectively 36.8%, 23.1% and 37.7% higher than the non-optimized system.
•An innovative exhaust air energy recovery system consisting of a BIPVT and a SRHX.•Pre-heating/pre-cooling ambient air in winter/summer and producing electricity.•Genetic algorithm-based multi-objective optimization approach for BIPVT-SRHX system.•Optimization leads to a 36.8% increase in annual average enviroeconomic parameter.•Optimization leads to a 23.1% increase in annual average exergoeconomic parameter. |
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AbstractList | This paper presents exergo-economic and enviro-economic assessment of a novel building integrated photovoltaic thermal-compound sensible rotary heat exchanger (BIPVT-SRHX) system. The innovative BIPVT-SRHX system preheats/precools the outdoor air in winter/summer and generates electric power. The performance of the system are analyzed from the energy/exergy viewpoints for Kermanshah, Iran climatic conditions. Then, the multi-objective genetic algorithm (MOGA) optimization is used to optimize to determine the optimum values of geometric and operating parameters in order to maximize the annual average exergo-economic and enviro-economic aspects of the system. The considered geometric and operating parameters include the length, width and depth of the air channel located underneath the PV modules, the air mass flow rate, and the diameter, rotational velocity and length of the SRHX. Moreover, the annual performance of the optimized and non-optimized BIPVT-SRHX systems are compared. The results showed that the annual average exergo-economic and enviro-economic aspects of the optimized BIPVT-SRHX system are 0.0076 $/annum and 246.9 kWh/$, respectively. Furthermore, it was found that the annual average enviro-economic aspect, annual average exergo-economic aspect, and yearly sum of CO2 mitigation of the optimized BIPVT-SRHX system are respectively 36.8%, 23.1% and 37.7% higher than the non-optimized system.
•An innovative exhaust air energy recovery system consisting of a BIPVT and a SRHX.•Pre-heating/pre-cooling ambient air in winter/summer and producing electricity.•Genetic algorithm-based multi-objective optimization approach for BIPVT-SRHX system.•Optimization leads to a 36.8% increase in annual average enviroeconomic parameter.•Optimization leads to a 23.1% increase in annual average exergoeconomic parameter. This paper presents exergo-economic and enviro-economic assessment of a novel building integrated photovoltaic thermal-compound sensible rotary heat exchanger (BIPVT-SRHX) system. The innovative BIPVT-SRHX system preheats/precools the outdoor air in winter/summer and generates electric power. The performance of the system are analyzed from the energy/exergy viewpoints for Kermanshah, Iran climatic conditions. Then, the multi-objective genetic algorithm (MOGA) optimization is used to optimize to determine the optimum values of geometric and operating parameters in order to maximize the annual average exergo-economic and enviro-economic aspects of the system. The considered geometric and operating parameters include the length, width and depth of the air channel located underneath the PV modules, the air mass flow rate, and the diameter, rotational velocity and length of the SRHX. Moreover, the annual performance of the optimized and non-optimized BIPVT-SRHX systems are compared. The results showed that the annual average exergo-economic and enviro-economic aspects of the optimized BIPVT-SRHX system are 0.0076 $/annum and 246.9 kWh/$, respectively. Furthermore, it was found that the annual average enviro-economic aspect, annual average exergo-economic aspect, and yearly sum of CO mitigation of the optimized BIPVT-SRHX system are respectively 36.8%, 23.1% and 37.7% higher than the non-optimized system. |
ArticleNumber | 109767 |
Author | Moghimi, M.A. Afrand, Masoud Khanmohammadi, S. Shahsavar, Amin He, Wei Barzinjy, Azeez A. |
Author_xml | – sequence: 1 givenname: Wei surname: He fullname: He, Wei email: hewei.mju@gmail.com organization: Engineering Research Center of Fujian University for Marine Intelligent Ship Equipment, Minjiang University, Fuzhou 350108, China – sequence: 2 givenname: Azeez A. surname: Barzinjy fullname: Barzinjy, Azeez A. email: azeez.azeez@su.edu.krd organization: Department of Physics, College of Education, Salahaddin University-Erbil, Kurdistan Region, Iraq – sequence: 3 givenname: S. surname: Khanmohammadi fullname: Khanmohammadi, S. organization: Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah, Iran – sequence: 4 givenname: Amin orcidid: 0000-0003-0493-898X surname: Shahsavar fullname: Shahsavar, Amin email: a.shahsavar@kut.ac.ir organization: Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah, Iran – sequence: 5 givenname: M.A. surname: Moghimi fullname: Moghimi, M.A. organization: Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria, South Africa – sequence: 6 givenname: Masoud orcidid: 0000-0003-4841-650X surname: Afrand fullname: Afrand, Masoud email: masoud.afrand@tdtu.edu.vn organization: Laboratory of Magnetism and Magnetic Materials, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam |
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CitedBy_id | crossref_primary_10_1016_j_seta_2022_102182 crossref_primary_10_1016_j_applthermaleng_2021_117127 crossref_primary_10_1016_j_rser_2023_113370 crossref_primary_10_1016_j_seta_2022_102031 crossref_primary_10_1115_1_4049623 crossref_primary_10_1016_j_buildenv_2020_107064 crossref_primary_10_1007_s11356_022_22915_y crossref_primary_10_1016_j_applthermaleng_2022_119473 crossref_primary_10_1016_j_matpr_2020_08_790 crossref_primary_10_1016_j_rser_2022_112988 crossref_primary_10_3390_en14134037 crossref_primary_10_1016_j_jtice_2020_08_020 crossref_primary_10_1016_j_enconman_2020_113081 crossref_primary_10_1016_j_energy_2023_130170 crossref_primary_10_1016_j_applthermaleng_2020_116518 |
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Keywords | Building integrated photovoltaic thermal (BIPVT) Exergo-economic Enviro-economic Multi-objective genetic algorithm optimization Sensible rotary heat exchanger (SRHX) |
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SubjectTerms | Building integrated photovoltaic thermal (BIPVT) Electricity Enviro-economic Exergo-economic Hot Temperature Iran Multi-objective genetic algorithm optimization Seasons Sensible rotary heat exchanger (SRHX) |
Title | Multi-objective optimization of a photovoltaic thermal-compound sensible rotary heat exchanger system using exergo-economic and enviro-economic approaches |
URI | https://dx.doi.org/10.1016/j.jenvman.2019.109767 https://www.ncbi.nlm.nih.gov/pubmed/31704643 https://search.proquest.com/docview/2313356756 |
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