Research Papers

Scenario-Based Multi-Objective Optimization of an Air-Based Building-Integrated Photovoltaic/Thermal System

[+] Author and Article Information
Mahsa Khaki, Amin Shahsavar

Department of Mechanical Engineering,
Kermanshah University of Technology,
Kermanshah 6715685420, Iran

Shoaib Khanmohammadi

Department of Mechanical Engineering,
Kermanshah University of Technology, Kermanshah 6715685420, Iran e-mail: sh.khanmohammadi@kut.ac.ir

1Corresponding author.

Manuscript received April 8, 2017; final manuscript received September 6, 2017; published online October 17, 2017. Assoc. Editor: Jorge Gonzalez.

J. Sol. Energy Eng 140(1), 011003 (Oct 17, 2017) (13 pages) Paper No: SOL-17-1130; doi: 10.1115/1.4038050 History: Received April 08, 2017; Revised September 06, 2017

In this paper, a genetic algorithm-based multi-objective optimization of a building-integrated photovoltaic/thermal (BIPV/T) system is carried out to find the best system configurations which lead to maximum energetic and exergetic performances for Kermanshah, Iran climatic condition. In the proposed BIPV/T system, the cooling potential of ventilation and exhaust airs are used in buildings for cooling the PV panels and also heating the ventilation air by heat rejection of PV panels. Four scenarios with various criteria in the form of system efficiencies and useful outputs are considered to reflect all possible useful outputs in the optimization procedure. This study models a glazed BIPV/T system with various collector areas (Apv=10,15,25,and30m2) and different length to width ratio (L/W=0.5,1,1.5,and2) to determine the optimum air mass flow rate, bottom heat loss coefficient, depth of the channel as well as the optimum depth of the air gap between PV panel and glass cover that maximize two defined objective functions in different scenarios. Results showed that using fourth scenario (with the annual total useful thermal and electrical outputs as objective functions) and first scenario (with the annual average first- and second-law efficiencies as objective functions) for optimizing the proposed BIPV/T system leads to the highest amount of useful thermal and overall outputs, respectively. Moreover, it was concluded that, if the electrical output of the system is more important than the thermal output, the first scenario gives better results.

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Sarhaddi, F. , Farahat, S. , Ajam, H. , Behzadmehr, A. , and Mahdavi Adeli, M. , 2010, “ An Improved Thermal and Electrical Model for a Solar Photovoltaic Thermal (PV/T) Air Collector,” Appl. Energy, 87(7), pp. 2328–2339. [CrossRef]
Kumar, S. , and Tiwari, A. , 2010, “ Design, Fabrication and Performance of a Hybrid Photovoltaic/Thermal (PV/T) Active Solar Still,” Energy Convers. Manage., 51(6), pp. 1219–1229. [CrossRef]
Chemisana, D. , Ibanez, M. , and Rosell, J. I. , 2011, “ Characterization of a Photovoltaic-Thermal Module for Fresnel Linear Concentrator,” Energy Convers. Manage., 52(10), pp. 3234–3240. [CrossRef]
Agrawal, S. , and Tiwari, G. N. , 2011, “ Energy and Exergy Analysis of Hybrid Micro-Channel Photovoltaic Thermal Module,” Sol. Energy, 85(2), pp. 356–370. [CrossRef]
Kumar, S. , 2013, “ Thermal–Economic Analysis of a Hybrid Photovoltaic Thermal (PVT) Active Solar Distillation System: Role of Carbon Credit,” Urban Clim., 5, pp. 112–124. [CrossRef]
Axaopoulos, P. J. , and Fylladitakis, E. D. , 2013, “ Performance and Economic Evaluation of a Hybrid Photovoltaic/Thermal Solar System for Residential Applications,” Energy Build., 65, pp. 488–496. [CrossRef]
Gholampour, M. , Ameri, M. , and Sheykh Samani, M. , 2014, “ Experimental Study of Performance of Photovoltaic–Thermal Unglazed Transpired Solar Collectors (PV/UTCs): Energy, Exergy, and Electrical-to-Thermal Rational Approaches,” Sol. Energy, 110, pp. 636–647. [CrossRef]
Good, C. , Andresen, I. , and Hestnes, A. G. , 2015, “ Solar Energy for Net Zero Energy Buildings—A Comparison Between Solar Thermal, PV and Photovoltaic–Thermal (PV/T) Systems,” Sol. Energy, 122, pp. 986–996. [CrossRef]
Hussain, F. , Othman, M. Y. H. , Yatim, B. , Ruslan, H. , Sopian, K. , Anuar, Z. , and Khairuddin, S. , 2015, “ An Improved Design of Photovoltaic/Thermal Solar Collector,” Sol. Energy, 122, pp. 885–891. [CrossRef]
Jarimi, H. , Abu Bakar, M. N. , Othman, M. , and Hj Din, M. , 2016, “ Bi-Fluid Photovoltaic/Thermal (PV/T) Solar Collector: Experimental Validation of a 2-D Theoretical Model,” Renewable Energy, 85, pp. 1052–1067. [CrossRef]
Lin, W. , Ma, Z. , Cooper, P. , Imroz Sohel, M. , and Yangi, L. , 2016, “ Thermal Performance Investigation and Optimization of Buildings With Integrated Phase Change Materials and Solar Photovoltaic Thermal Collectors,” Energy Build., 116, pp. 562–573. [CrossRef]
Charalambous, P. G. , Kalogirou, S. A. , Maidment, G. G. , and Yiakoumetti, K. , 2011, “ Optimization of the Photovoltaic Thermal (PV/T) Collector Absorber,” Sol. Energy, 85(5), pp. 871–880. [CrossRef]
Tourkov, K. , and Schaefer, L. , 2015, “ Performance Evaluation of a PVT/ORC (Photovoltaic Thermal/Organic Rankine Cycle) System With Optimization of the ORC and Evaluation of Several PV (Photovoltaic) Materials,” Energy, 82, pp. 839–849. [CrossRef]
Thakare, M. S. , Krishna Priya, G. S. , Ghosh, P. C. , and Bandyopadhyay, S. , 2016, “ Optimization of Photovoltaic–Thermal (PVT) Based Cogeneration System Through Water Replenishment Profile,” Sol. Energy, 133, pp. 512–523. [CrossRef]
Karathanassis, I. K. , Papanicolaou, E. , Belessiotis, V. , and Bergeles, G. C. , 2013, “ Multi-Objective Design Optimization of a Micro Heat Sink for Concentrating Photovoltaic/Thermal (CPVT) Systems Using a Genetic Algorithm,” Appl. Therm. Eng., 59(1–2), pp. 733–744. [CrossRef]
Vera, J. T. , Laukkanen, T. , and Siren, K. , 2014, “ Multi-Objective Optimization of Hybrid Photovoltaic–Thermal Collectors Integrated in a DHW Heating System,” Energy Build., 74, pp. 78–90. [CrossRef]
Singh, S. , Agrawal, S. , Tiwari, G. N. , and Chauhan, D. , 2015, “ Application of Genetic Algorithm With Multi-Objective Function to Improve the Efficiency of Glazed Photovoltaic Thermal System for New Delhi (India) Climatic Condition,” Sol. Energy, 117, pp. 153–166. [CrossRef]
Duffie, J. A. , and Beckman, W. A. , 1991, Solar Engineering of Thermal Processes, Wiley, New York.
Hollands, K. G. T. , Unny, T. E. , Raithby, G. R. , and Konicek, L. , 1976, “ Free Convective Heat Transfer Across Inclined Air Layers,” ASME J. Heat Transfer, 98(2), pp. 189–193. [CrossRef]
Tan, H. M. , and Charters, W. W. S. , 1969, “ Effect of Thermal Entrance Region on Turbulent Forced-Convective Heat Transfer for an Asymmetrically Rectangular Duct With Uniform Heat Flux,” Sol. Energy, 12(4), pp. 513–516. [CrossRef]
Fox, R. W. , and McDonald, A. T. , 1978, Introduction to Fluid Mechanics, Wiley, New York.
Klein, S. A. , 1975, “ Calculation of Flat-Plate Collector Loss Coefficients,” Sol. Energy, 17(1), pp. 79–80. [CrossRef]
ASHRAE 2009, “ ASHRAE Handbook,” HVAC Fundamentals, American Society of Heating Ventilating Air-conditioning Engineers, Atlanta, GA. [PubMed] [PubMed]
Florschuetz, L. W. , 1979, “ Extension of the Hottel–Whillier Model to the Analysis of Combined Photovoltaic/Thermal Flat Plate Collectors,” Sol. Energy, 22(4), pp. 361–366. [CrossRef]
Chow, T. , Ji, J. , and He, W. , 2007, “ Photovoltaic-Thermal Collector System for Domestic Application,” ASME J. Sol. Energy Eng., 129(2), pp. 205–209. [CrossRef]
Joshi, A. S. , Tiwari, A. , Tiwari, G. N. , Dincer, I. , and Reddy, B. V. , 2009, “ Performance Evaluation of a Hybrid Photovoltaic Thermal (PV/T) (Glass-to-Glass) System,” Int. J. Therm. Sci., 48(1), pp. 154–164. [CrossRef]
Tiwari, A. , Sodha, M. S. , Chandra, A. , and Joshi, J. C. , 2006, “ Performance Evaluation of Photovoltaic Thermal Solar Air Collector for Composite Climate of India,” Sol. Energy Mater. Sol. Cells, 90(2), pp. 175–189. [CrossRef]
Shahsavar, A. , Ameri, M. , and Gholampour, M. , 2012, “ Energy and Exergy Analysis of a Photovoltaic-Thermal Collector With Natural Air Flow,” ASME J. Sol. Energy Eng., 134(1), p. 011014. [CrossRef]
Khanmohammadi, S. , Heidarnejad, P. , Javani, N. , and Ganjehsarabi, H. , “ Exergoeconomic Analysis and Multi Objective Optimization of a Solar Based Integrated Energy System for Hydrogen Production,” Int. J. Hydrogen Energy, 42(33), pp. 21443–21453. [CrossRef]
Petela, R. , 1964, “ Exergy of Heat Radiation,” ASME J. Heat Transfer, 86(2), pp. 187–92. [CrossRef]
Tonui, J. K. , and Tripanagnostopoulos, Y. , 2007, “ Improved PV/T Solar Collectors With Heat Extraction by Forced or Natural Air Circulation,” Renewable Energy, 32(4), pp. 623–637. [CrossRef]
Toffolo, A. , and Lazzaretto, A. , 2002, “ Evolutionary Algorithms for Multi-Objective Energetic and Economic Optimization in Thermal System Design,” Energy, 27(6), pp. 549–567. [CrossRef]
Deb, K. , 2001, Multi-Objective Optimization Using Evolutionary Algorithms, Wiley, New York.
Vera, J. T. , Laukkanen, T. , and Sirén, K. , 2014, “ Performance Evaluation and Multi-Objective Optimization of Hybrid Photovoltaic–Thermal Collectors,” Sol. Energy, 102, pp. 223–233. [CrossRef]
Khanmohammadi, S. , Atashkari, K. , and Kouhikamali, R. , 2015, “ Exergoeconomic Multi-Objective Optimization of an Externally Fired Gas Turbine Integrated With a Biomass Gasifier,” Appl. Therm. Eng., 91, pp. 848–859. [CrossRef]
Khanmohammadi, S. , Atashkari, K. , and Kouhikamali, R. , 2015, “ Performance Assessment and Multi-Objective Optimization of a Trigeneration System With a Modified Biomass Gasification Model,” Modares Mech. Eng., 15(9), pp. 209–222.


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Fig. 1

View of the proposed BIPV/T system integrated into the roof of a building

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Fig. 2

Schematic of the studied BIPV/T system

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Fig. 3

Heat transfer coefficients along the surfaces of the studied BIPV/T system

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Fig. 4

Comparison between the results obtained from this study and experimental results [31]

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Fig. 5

Decision variables mapping form Rp space to Rq the space of objective functions

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Fig. 6

Genetic algorithm flowchart

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Fig. 7

Pareto front for first scenario in the case of a BIPV/T system with Apv=10m2 and various L/W ratios

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Fig. 8

Pareto front for second scenario in the case of a BIPV/T system with Apv=10m2 and various L/W ratios

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Fig. 9

Pareto front for third scenario in the case of a BIPV/T system with Apv=10m2 and various L/W ratios

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Fig. 10

Pareto front for fourth scenario in the case of a BIPV/T system with Apv=10m2 and various L/W ratios



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