Thermoexergetic analysis and multi-objective optimization of steam power plant performances Optimization of steam power plant performances
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Abstract
This study investigated the steam power plant performances using a response surface methodology (RSM). The thermodynamic simulations are conducted by the Engineering Equation Solver (EES) program for distinct parameters such as inlet temperature (350≤T3≤600°C), boiler pressure (5000≤P3≤15000kPa), and condenser pressure (5≤T1≤15 kPa). A centered composite design (CCD) with process parameters was used for statistical analysis. A second-order regression model was developed to correlate the process parameters with thermal efficiency (ηI), exergetic efficiency (ηII), vapor quality (x), and specific fuel consumption (SFC). A better determination coefficient (R2) was attained with the quadratic model, which showed 99.88%, 99.85%, 99.44%, and 99.80% for ηI, ηII, x, and SFC, respectively. Hence, numerical and graphical optimization was conducted operating the desirability function approach to get the suitable input variables to deliver the highest thermal and exergetic efficiencies with maximum vapor quality and minimal specific fuel consumption rate.
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References
[2] H.H. Zhang, M.J. Li, Y.Q. Feng, H. Xi, T.C; Hung. “Assessment and working fluid comparison of steam rankine cycle -organic Rankine cycle combined system for severe cold territories”. Case Stud. Thermal. Eng., vol. 28,101601, 2021.
[3] S. Zhu, K. Sun, S. Bai, K. Deng, “Thermodynamic and techno-economic comparisons of the steam injected turbocompounding system with conventional steam Rankine cycle systems in recovering waste heat from the marine two-stroke engine”, Energy, vol. 245, 2022.
[4] M. Dokl, R. Gomilšek, P.S. Varbanov, Y.V. Fan, Z. Kravanja, L. Čuček, “Synthesis of Rankine cycle systems with cascade and separate configurations utilising multiple heat sources at different temperature levels”, Energy vol. 284, 128588, 2023.
[5] M.P. Gonzalez, R.M. Perez, A.M. Fernandez, F.J.R. Serrano, A.J.G. Trashorras, “Analytical study for the comparison between hygroscopic and Rankine cycle. An exergy approach”, Energy Convers. Manag. vol. 292, 117394, 2023.
[6] P. Li, T. Qian, J. Li, H. Lin, Y. Wang, G. Pei, D. Jie, D. Liu, “Thermo-economic analysis of a novel partial cascade organic-steam Rankine cycle”, Energy Convers. Manag. vol. 283, 116941, 2023.
[7] M.H. Maruf, M. Rabbani, R.H. Ashique, M.T. Islam, M.K. Nipun, M.A.U. Haq, A. Al Mansur, A.S.M. Shihavuddin, “Exergy based evaluation of power plants for sustainability and economic performance identification”, Case Stud. Therm. Eng. vol. 28, 101393, 2021.
[8] X. Liu, M.Q. Nguyen, J. Chu, T. Lan, M. He. “A novel waste heat recovery system combing steam Rankine cycle and organic Rankine cycle for marine engine”. J. Cleaner. Prod. vol. 265,121502, 2020.
[9] Qu J, Feng Y, Zhu Y, Zhou S, Zhang W. “Design and thermodynamic analysis of a combined system including steam Rankine cycle, organic Rankine cycle, and power turbine for marine low-speed diesel engine waste heat recovery”. Energy Convers. Manag. vol. 245,114580, 2021.
[10] L.A. Porto-Hernandez, J.V.C. Vargas, M.N. Munoz, J. Galeano-Cabral, J.C. Ordonez, W. Balmant, A.B. Mariano, “Fundamental optimization of steam Rankine cycle power plants”. Energy Convers. Manag. vol. 289, 117148, 2023. https://doi.org/10.1016/j.enconman.2023.117148.
[11] B. Eftekhari, M.A. Ehyaei, “Optimization of a new configuration of power tri-generation cycle by the use of a multi-purpose genetic algorithm”, J. of Thermal Eng., vol. 6, No. 2, pp. 65-91, 2020.
[12] S. Elahifar, E. Assareh, R. Moltames, “Exergy analysis and thermodynamic optimisation of a steam power plant-based Rankine cycle system using intelligent optimisation algorithms”, Aust. J. Mech. Eng., 2019. https://doi: 10.1080/14484846.2019.1661807.
[13] M. M. Naeimi, M.E. Yazdi, G. Reza Salehi, “Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of a solar hybrid CCHP system”, Energy Sour.s, Part A: Recov., Utili., and Envir.l Eff., 2019. https://doi.10.1080/15567036.2019.1702122.
[14] M. Holik, M. Zivic, Z. Virag, A. Barac, M. Vujanovic, J. Avsec, “Thermo-economic optimization of a Rankine cycle used for waste-heat recovery in biogas cogeneration plants”. Energy Convers. Manag. vol. 232:113897, 2021.
[15] N. Mahdavi, P. Mojaver, S. Khalilarya, “Multi-objective optimization of power, CO2 emission and exergy efficiency of a novel solar-assisted CCHP system using RSM and TOPSIS coupled method. Renew. Energy, vol.185: pp. 506–524, 2022.
[16] R.H. Myers, D.C. Montgomery, C.M. Anderson-Cook, Response surface methodology: process and product optimization using designed experiments, Wiley, Hoboken, 2016.
[17] M.W. Azizi, O. Keblouti, L. Boulanouar, M.A. Yallese “Design optimization in hard turning of E19 alloy steel by analysing surface roughness, tool vibration and productivity” Struct. Eng. and Mech. vol. 73, pp. 501-513, 2020.
[18] A. Bouziane, L. Boulanouar, M.W. Azizi, O. Keblouti, S. Belhadi, “Analysis of cutting forces and roughness during hard turning of bearing steel”, Struct. Eng. and Mech., vol. 66, pp. 395-405, 2018.
[19] O. Keblouti, L. Boulanouar, M.W. Azizi, A. Bouziane, “Multi response optimization of surface roughness in hard turning with coated carbide tool based on cutting parameters and tool vibration”, Struct. Eng. and Mech. vol.70, pp. 395-405, 2019.
[20] B. Mondal, V.C; Srivastava, I.D. Mall. “Electrochemical treatment of dye-bath effluent by stainless steel electrodes: multiple response optimization and residue analysis”, J Environ Sci Heal Part A., vol.47, pp.2040–2051, 2012.
[21] M. Bensouici, M.W. Azizi, F.Z. Bensouici, “Multi-objective optimization of mixed convection air cooling in an inclined channel with discrete heat sources”, Struct. Eng. Mech., vol.79, pp. 51-66, 2021.