A New Method for the Residues Cost Allocation and Optimization of a ‎Cogeneration System Using Evolutionary Programming ‎

Journal of Applied Dynamic Systems and Control

مقاله 8، دوره 2، شماره 1، شهریور 2019، صفحه 48-60   

نوع مقاله: Original Article

نویسنده

S.M. Seyyedi^*

Department of Mechanical Engineering, Aliabad Katoul Branch, ‎Islamic Azad University, Aliabad Katoul, Iran‎

چکیده

As any energy system produces functional products, such as work, heat, etc., it produces unintended remaining flows of matter or energy, too, which are called residues. One of the objectives of exergoeconomic analysis is to understand the cost formation process and the flow of costs in the system. In the conventional thermoeconomic methods, however, the problem of the cost of residues has not been perceived soundly. One of the complex problems in the cost assessment is residues cost allocation in a rational way. Two more important methods of the residues cost allocation are distribution of the cost of the residues proportionally to the exergy as well as to the entropy generation or negentropy. In this paper, a new method for the residues cost allocation is proposed. This new method uses the fuel-product (FP) table, a mathematical representation of the thermoeconomic model, as the input data. In order to represent the proposed method, a cogeneration system that produces 34MW of electricity and 18kg/s of saturated steam at 20bar is selected. For the optimization of this system, first, a code has been developed based on the real coding evolutionary algorithm and optimal solution is to be obtained; then,  he proposed method is applied to the cogeneration system. For comparison of the results, two other methods have also been applied to the system. The results of the comparison show that the proposed method is more suitable and  rational than the two other ones.

کلیدواژه‌ها

Cogeneration system؛ Exergoeconomic؛ Optimization؛ Residues؛ Cost allocation؛ Negentropy؛ ‎Evolutionary algorithm.‎

مراجع

1] Silveiraa, JL. Tunab, CE. Thermoeconomic analysis method for optimization of combined heat and power systems Part I. Progress in Energy and Combustion Science, 2003, 29, 479–485.

[2] Kotas, TJ.  The exergy method of thermal plant analysis. Malabar, FL: Krieger Pub; 1995.

[3]  Kwak, H-Y. Kim, D-J. Jeon, J-S. Exergetic and thermoeconomic analyses of power plants. Energy, 2003, 28, 343–360.

[4] Tsatsaronis, G. Moran, M. Exergy-Aided cost minimization. Energy Conversion & Management,              1997, 38(N15-17), 1535-1542.

[5] Vieira, Leonardo S. Donatelli, João L. Cruz, Manuel E. Integration of an iterative methodology for exergoeconomic improvement of thermal systems with a process simulator. Energy Conversion and Management, 2004, 45, 2495–2523.

[6] Vieira, Leonardo S. Donatelli, João L. Cruz, Manuel E. Integration of a Mathematical Exergoeconomic Optimization procedure with a process simulator: Application to the CGAM system. Engenharia Termica (Thermal Engineering), 2005, 4(2), 163–172.

[7] Sahoo, PK. Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming. Applied thermal engineering, 2008, 28, 1580-1588.

[8] Zhang, C. Wang, Y. Zheng, C. Lou, X. Exergy cost analysis of a coal fired power plant on structural theory of thermoeconomics.  Energy Conversion & Management, 2006, 47, 817-843.

[9] Lazzaretto, A. Tsatsaronis, G. SPECO: a systematic and general methodology for calculating efficiencies and cost in thermal systems. Energy, 2006, 31(8–9), 1257–1289.

[10] Torres, C. Valero, A. Rangel, V. Zaleta, A. On the cost formation process of the residues. Energy, 2008, 33, 144–152.

[11] Lozano, MA. Valero, A. Theory of the exergetic cost. Energy, 1993, 18(9), 939–960.

[12] Bejan, A. Tsatsaronis, G. Moran, M. Thermal & design optimization. New York: John Wiley and Sons, 1996.

 

 

[13] Lazzaretto, A. Tsatsaronis, G. On the calculation of efficiencies and costs in thermal systems. In Proceedings of the ASME Advanced Energy Systems Division – 1999, AES-39, New York: ASME, 1999, 421–430.

[14] Kim, S-M. Oh, S-D. Kwon, Y-H. Kwak, H-Y. Exergoeconomic analysis of thermal systems. Energy, 1998, 23(5), 393–406.

[15] Kwon, Y-H. Kwak, H-Y. Oh, S-D. Exergoeconomic analysis of gas turbine cogeneration systems. Exergy,  2001, 1(1), 31–40.

[16] Serra, L. Valero, A. Torres, C. Uche, J. Thermoeconomic analysis fundamentals. In: Husain A, editor. Integrated power and desalination plants. Oxford: EOLSS Publisher, 2003, 429–459.

[17] Frangopoulos, C. von Spakovsky, M. A global environomic approach for energy system analysis and optimization. In: Szargut J, editor. Energy systems and ecology ENSEC’93, Cracow, Poland, 1993, 123–144.

[18] Lozano, MA. Valero, A. Thermoeconomic analysis of a gas turbine cogeneration system. ASME Book no. H00874, WAM 1993, AES, vol. 30, 312–320.

[19] Frangopoulos, CA. Thermoeconomic functional analysis. In: Frangopoulos CA, editor. Exergy, energy system analysis and optimization, from encyclopedia of life support system (EOLSS). Developed under the Auspices of the UNESCO. Oxford: EOLSS Publishers; 2004. Available at: áhttp://www.eolss.netñ.

[20] Erlach, B. Serra, L. Valero, A. Structural theory as standard for thermoeconomics. Energy Conversion and Management, 1999, 40, 1627–1649

[21] Sayyaadi, H. Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system. Applied Energy, 2009, 86, 867-879

[22] Cammarata, G. Fichera, A. Marletta, L. Using genetic algorithms and the exergonomic approach to optimize district heating networks, ASME: Journal of Energy Resource Technology, 1998, 120, 241–246.

[23] Marletta, L. A comparison of methods for optimizing air-conditioning systems according to the exergonomic approach, ASME: Journal of Energy Resource Technology, 2001, 123, 304–310.

[24] Lazzaretto, A. Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design.  Energy, 2002, 27, 549–567.

[25] Yang, H. Yang, PC. Huang, CL. Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions, IEEE Transactions on Power Systems, 1996, 11, 112–118.

[26] Osyczka , A. Evolutionary algorithms for single and multicriteria design optimization.  New York: Heidelberg, 2002.

[27] Valero, A. Lozano, MA. Serra, L. Tsatsaronis, G. Pisa, J. Frangopoulos, C. Von Spakovsky, MR. CGAM problem : definition and conventional solution. Energy, 1994, 19(3), 279–286.

[28] Torres, C. Symbolic thermoeconomic analysis of energy systems. In: Frangopoulos CA, editor. Exergy, energy system analysis and optimization, from encyclopedia of life support system (EOLSS). Developed under the Auspices of the UNESCO. Oxford: EOLSS Publishers; 2004. Available at: áhttp://www.eolss.netñ.