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Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm

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  • Soheyli, Saman
  • Shafiei Mayam, Mohamad Hossein
  • Mehrjoo, Mehri

Abstract

Due to problems, such as, heat losses of equipment, low energy efficiency, increasing pollution and the fossil fuels consumption, combined cooling, heating, and power (CCHP) systems have attracted lots of attention during the last decade. In this paper, for minimizing fossil fuel consumption and pollution, a novel CCHP system including photovoltaic (PV) modules, wind turbines, and solid oxide fuel cells (SOFC) as the prime movers is considered. Moreover, in order to minimize the excess electrical and heat energy production of the CCHP system and so reducing the need for the local power grid and any auxiliary heat production system, following electrical load (FEL) and following thermal load (FTL) operation strategies are considered, simultaneously. In order to determine the optimal number of each system component and also set the penalty factors in the used penalty function, a co-constrained multi objective particle swarm optimization (CC-MOPSO) algorithm is applied. Utilization of the renewable energy resources, the annual total cost (ATC) and the CCHP system area are considered as the objective functions. It also includes constraints such as, loss of power supply probability (LPSP), loss of heat supply probability (LHSP), state of battery charge (SOC), and the number of each CCHP component. A hypothetical hotel in Kermanshah, Iran is conducted to verify the feasibility of the proposed system. 10 wind turbines, 430 PV modules, 11 SOFCs, 106 batteries and 2 heat storage tanks (HST) are numerical results for the spring as the best season in terms of decreasing cost and fuel consumption. Comparing the results of the system with a common separated production (SP) system shows that the fossil fuels consumption and the pollution can be reduced up to 263 and 353 times, respectively.

Suggested Citation

  • Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:375-395
    DOI: 10.1016/j.apenergy.2016.09.110
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    1. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q., 2014. "A novel operation strategy for CCHP systems based on minimum distance," Applied Energy, Elsevier, vol. 128(C), pages 325-335.
    2. Diaf, S. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Technical and economic assessment of hybrid photovoltaic/wind system with battery storage in Corsica island," Energy Policy, Elsevier, vol. 36(2), pages 743-754, February.
    3. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    4. Smith, Amanda D. & Mago, Pedro J., 2014. "Effects of load-following operational methods on combined heat and power system efficiency," Applied Energy, Elsevier, vol. 115(C), pages 337-351.
    5. Cozzolino, R. & Tribioli, L. & Bella, G., 2016. "Power management of a hybrid renewable system for artificial islands: A case study," Energy, Elsevier, vol. 106(C), pages 774-789.
    6. Stanek, Wojciech & Gazda, Wiesław & Kostowski, Wojciech, 2015. "Thermo-ecological assessment of CCHP (combined cold-heat-and-power) plant supported with renewable energy," Energy, Elsevier, vol. 92(P3), pages 279-289.
    7. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    8. Sanaye, Sepehr & Sarrafi, Ahmadreza, 2015. "Optimization of combined cooling, heating and power generation by a solar system," Renewable Energy, Elsevier, vol. 80(C), pages 699-712.
    9. Nosrat, Amir H. & Swan, Lukas G. & Pearce, Joshua M., 2013. "Improved performance of hybrid photovoltaic-trigeneration systems over photovoltaic-cogen systems including effects of battery storage," Energy, Elsevier, vol. 49(C), pages 366-374.
    10. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
    11. Wang, Jiangjiang & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Modeling and performance analysis of CCHP (combined cooling, heating and power) system based on co-firing of natural gas and biomass gasification gas," Energy, Elsevier, vol. 93(P1), pages 801-815.
    12. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
    13. Olaofe, Zaccheus O. & Folly, Komla A., 2013. "Wind energy analysis based on turbine and developed site power curves: A case-study of Darling City," Renewable Energy, Elsevier, vol. 53(C), pages 306-318.
    14. Thapar, Vinay & Agnihotri, Gayatri & Sethi, Vinod Krishna, 2011. "Critical analysis of methods for mathematical modelling of wind turbines," Renewable Energy, Elsevier, vol. 36(11), pages 3166-3177.
    15. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
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