Document Type : Original Article
Author
Sharif University of Technology, Tehran, Iran
10.52293/SE.1.1.243258
Abstract
This paper proposes a new methodology for optimal sizing of a combined cooling heating and power (CCHP) system with a gas turbine as its primary mover in a residential building in Xihu area in Hangzhou, Zhejiang, China. Due to the significant impact of four substantial parameters including energetic, exergetic, environmental, and economic (4E), their features are used during the gas engine size optimization of the CCHP system. The paper also proposes a new modified version of the Farmland Fertility Optimization (FFO) Algorithm to solve the sizing problem. The new algorithm is designed to resolve the premature convergence and the local optimum of the basic algorithm. The results of the proposed MFFO-based system compared with the GA-based system and the basic FFO-based system. Simulation results show that the optimal cost value for the MFFO, FFO, and the GA are 0.191, 0.191, and 0.192, respectively that are achieved after 25, 35, and 50 iterations. This shows the effectiveness of the proposed method in terms of convergence and accuracy.
Keywords
- M. Agwa, A. A. El-Fergany, and H. A. Maksoud, “Electrical characterization of photovoltaic modules using farmland fertility optimizer,” Energy Conversion and Management, vol. 217, p. 112990, 2020.
- Sabo, N. I. A. Wahab, M. L. Othman, M. Z. A. M. Jaffar, and H. Beiranvand, “Farmland Fertility Optimization for Designing of Interconnected Multi-machine Power System Stabilizer,” Applications of Modelling and Simulation, vol. 4, pp. 183-201, 2020.
- Sabo, N. I. A. Wahab, M. L. Othman, M. Zurwatul, and A. M. Jaffar, “Novel Farmland Fertility Algorithm Based PIDPSS Design for SMIB Angular Stability Enhancement.”
- Lahoud, J. Al Asmar, and M. Brouche, “Review of cogeneration and trigeneration systems,” African Journal of Engineering Research, vol. 6, no. 3, pp. 39-54, 2018.
- Rim, S. Piao, G. Li, and U. Pak, “A niching chaos optimization algorithm for multimodal optimization,” Soft Computing, vol. 22, no. 2, pp. 621-633, 2018.
- Yang, G. Li, and G. Cheng, “On the efficiency of chaos optimization algorithms for global optimization,” Chaos, Solitons & Fractals, vol. 34, no. 4, pp. 1366-1375, 2007.
- Cuevas, A. Reyna-Orta, and M.-A. Díaz-Cortes, “A Multimodal Optimization Algorithm Inspired by the States of Matter,” Neural Processing Letters, vol. 48, no. 1, pp. 517-556, 2018.
- UK, “Government emission conversion factors for greenhouse gas company reporting,” 2017.
- Zhang, C. Xiao, and N. Razmjooy, “Optimal Parameter Extraction of PEM Fuel Cells by Meta-heuristics,” International Journal of Ambient Energy, no. just-accepted, pp. 1-22, 2020.
- A. Akkar and F. R. Mahdi, “Grass Fibrous Root Optimization Algorithm,” International Journal of Intelligent Systems and Applications, vol. 11, no. 6, p. 15, 2017.
- Lin, C. Yang, and X. Xu, “A new optimization model of CCHP system based on genetic algorithm,” Sustainable Cities and Society, vol. 52, p. 101811, 2020.
- R. Tizhoosh, “Opposition-based learning: a new scheme for machine intelligence,” in International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC’06), 2005, vol. 1: IEEE, pp. 695-701.
- S. Q. Atigh, M. Deymi‐Dashtebayaz, and A. Bak‐Khoshnevis, “Optimal sizing of gas engine in combined cooling heat and power systems by a proposed evaluation function and genetic algorithm optimization methods based on 4E analysis,” Environmental Progress & Sustainable Energy, 2019.
- Shayanfar and F. S. Gharehchopogh, “Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems,” Applied Soft Computing, vol. 71, pp. 728-746, 2018.
- Wang, Z. Lu, M. Li, N. Lior, and W. Li, “Energy, exergy, exergoeconomic and environmental (4E) analysis of a distributed generation solar-assisted CCHP (combined cooling, heating and power) gas turbine system,” Energy, vol. 175, pp. 1246-1258, 2019.
- Zhang, S. Cao, L. Yu, and Y. Zhou, “Comparison of combined cooling, heating and power (CCHP) systems with different cooling modes based on energetic, environmental and economic criteria,” Energy conversion and management, vol. 160, pp. 60-73, 2018.
- G. Tataraki, K. C. Kavvadias, and Z. B. Maroulis, “A systematic approach to evaluate the economic viability of Combined Cooling Heating and Power systems over conventional technologies,” Energy, vol. 148, pp. 283-295, 2018.
- Zhao, Z. Li, H. Chen, J. Li, J. Xiao, and N. Yousefi, “A multi-criteria optimization for a CCHP with the fuel cell as primary mover using modified Harris Hawks optimization,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp. 1-16, 2020.
- Ebrahimi and A. Keshavarz, “Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates,” Energy, vol. 54, pp. 291-301, 2013.
- Ebrahimi and A. Keshavarz, Combined cooling, heating and power: decision-making, design and optimization. Elsevier, 2014.
- Miar Naeimi, M. Eftekhari Yazdi, and G. Reza Salehi, “Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of a solar hybrid CCHP system,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp. 1-21, 2019.
- Moghimi, M. Emadi, P. Ahmadi, and H. Moghadasi, “4E analysis and multi-objective optimization of a CCHP cycle based on gas turbine and ejector refrigeration,” Applied Thermal Engineering, vol. 141, pp. 516-530, 2018.
- Yazdani and F. Jolai, “Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm,” Journal of computational design and engineering, vol. 3, no. 1, pp. 24-36, 2016.
- Fumo and L. M. Chamra, “Analysis of combined cooling, heating, and power systems based on source primary energy consumption,” Applied Energy, vol. 87, no. 6, pp. 2023-2030, 2010.
- Razmjooy, M. Khalilpour, and M. Ramezani, “A new meta-heuristic optimization algorithm inspired by FIFA world cup competitions: theory and its application in PID designing for AVR system,” Journal of Control, Automation and Electrical Systems, vol. 27, no. 4, pp. 419-440, 2016.
- Ghadimi, S. Kara, and B. Kornfeld, “The optimal selection of on-site CHP systems through integrated sizing and operational strategy,” Applied Energy, vol. 126, pp. 38-46, 2014.
- J. Mago and A. K. Hueffed, “Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies,” Energy and Buildings, vol. 42, no. 10, pp. 1628-1636, 2010.
- Javan, V. Mohamadi, P. Ahmadi, and P. Hanafizadeh, “Fluid selection optimization of a combined cooling, heating and power (CCHP) system for residential applications,” Applied Thermal Engineering, vol. 96, pp. 26-38, 2016.
- Sanaye and M. M. Ghafurian, “Applying relative equivalent uniform annual benefit for optimum selection of a gas engine combined cooling, heating and power system for residential buildings,” Energy and Buildings, vol. 128, pp. 809-818, 2016.
- Sanaye, M. M. Ghafurian, and F. T. Dastjerd, “Applying Relative Net Present or Relative Net Future Worth Benefit and exergy efficiency for optimum selection of a natural gas engine based CCHP system for a hotel building,” Journal of Natural Gas Science and Engineering, vol. 34, pp. 305-317, 2016.
- Fei, R. Xuejun, and N. Razmjooy, “Optimal configuration and energy management for combined solar chimney, solid oxide electrolysis, and fuel cell: a case study in Iran,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp. 1-21, 2019.
- Cao, Y. Wu, L. Fu, K. Jermsittiparsert, and N. Razmjooy, “Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics,” Energy Reports, vol. 5, pp. 1551-1559, 2019.
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