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Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems

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  • Sayyaadi, Hoseyn
  • Baghsheikhi, Mostafa

Abstract

Optimal control and design of energy systems in some instances require the fast exergoeconomic optimization. Fuzzy inference systems (FIS) were previously employed for either the computerized iterative exergoeconomic optimization or fast optimization of the energy system. The shortcoming of the FIS system was that the requirement to have numerous fuzzy rules and fuzzy membership function that must be collected based on experts' knowledge and usually with try and error steps. On the other hand, conventional optimization methods such as genetic algorithm consume significant calculation time that makes them unsuitable for the fast optimization. In this paper, the adaptive neuro-fuzzy interference system known as the ANFIS was introduced for fast exergoeconomic optimization of energy systems. The ANFIS system automatically developed the required fuzzy items and used them for fast optimization of energy systems. It was employed on two case studies, one for exergoeconomic design and optimization of a benchmark energy system known as the CGAM problem. It was shown that the ANFIS could achieve the optimal solutions of systems with reasonable accuracy, very low computation time, and without dependency on experts' knowledge to develop fuzzy data. The ANFIS was found as an optimistic alternative for the fast optimization of energy systems.

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  • Sayyaadi, Hoseyn & Baghsheikhi, Mostafa, 2018. "Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 218-235.
    • Handle: RePEc:eee:energy:v:164:y:2018:i:c:p:218-235
    DOI: 10.1016/j.energy.2018.08.202
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    1. Tsatsaronis, George & Pisa, Javier, 1994. "Exergoeconomic evaluation and optimization of energy systems — application to the CGAM problem," Energy, Elsevier, vol. 19(3), pages 287-321.
    2. Valero, Antonio & Lozano, Miguel A. & Serra, Luis & Tsatsaronis, George & Pisa, Javier & Frangopoulos, Christos & von Spakovsky, Michael R., 1994. "CGAM problem: Definition and conventional solution," Energy, Elsevier, vol. 19(3), pages 279-286.
    3. Baghsheikhi, Mostafa & Sayyaadi, Hoseyn, 2016. "Real-time exergoeconomic optimization of a steam power plant using a soft computing-fuzzy inference system," Energy, Elsevier, vol. 114(C), pages 868-884.
    4. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    5. Sayyaadi, Hoseyn & Sabzaligol, Tooraj, 2009. "Various approaches in optimization of a typical pressurized water reactor power plant," Applied Energy, Elsevier, vol. 86(7-8), pages 1301-1310, July.
    6. Frangopoulos, Christos A., 1994. "Application of the thermoeconomic functional approach to the CGAM problem," Energy, Elsevier, vol. 19(3), pages 323-342.
    7. Valero, A. & Lozano, M.A. & Serra, L. & Torres, C., 1994. "Application of the exergetic cost theory to the CGAM problem," Energy, Elsevier, vol. 19(3), pages 365-381.
    8. von Spakovsky, Michael R., 1994. "Application of engineering functional analysis to the analysis and optimization of the CGAM problem," Energy, Elsevier, vol. 19(3), pages 343-364.
    9. Aghbashlo, Mortaza & Hosseinpour, Soleiman & Tabatabaei, Meisam & Younesi, Habibollah & Najafpour, Ghasem, 2016. "On the exergetic optimization of continuous photobiological hydrogen production using hybrid ANFIS–NSGA-II (adaptive neuro-fuzzy inference system–non-dominated sorting genetic algorithm-II)," Energy, Elsevier, vol. 96(C), pages 507-520.
    10. Ansari, Kambiz & Sayyaadi, Hoseyn & Amidpour, Majid, 2010. "Thermoeconomic optimization of a hybrid pressurized water reactor (PWR) power plant coupled to a multi effect distillation desalination system with thermo-vapor compressor (MED-TVC)," Energy, Elsevier, vol. 35(5), pages 1981-1996.
    11. Lazzaretto, A. & Toffolo, A., 2004. "Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design," Energy, Elsevier, vol. 29(8), pages 1139-1157.
    12. Toffolo, Andrea & Lazzaretto, Andrea & Manente, Giovanni & Paci, Marco, 2014. "A multi-criteria approach for the optimal selection of working fluid and design parameters in Organic Rankine Cycle systems," Applied Energy, Elsevier, vol. 121(C), pages 219-232.
    13. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
    14. Aghbashlo, Mortaza & Hosseinpour, Soleiman & Tabatabaei, Meisam & Dadak, Ali, 2017. "Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor," Energy, Elsevier, vol. 132(C), pages 65-78.
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