Document Type : Original Article


1 Mechanical Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran

2 Department of Mechanical Engineering, Bam Higher Education Complex, Bam, Iran


In the present work, the statistical analyses are presented to study the economic indexes of Net Present Value (NPV) and Simple Payback Period (SPB) as response functions for the Combined Cooling, Heating and Power (CCHP) system. The CCHP performance is simulated with the aid of thermodynamic modeling, and also economic equations are presented for economic simulation.  An attempt is made to study the effect of some economic factors (interest ratio, fuel cost, lifetime, and electricity sell price) on the system’s responses. Based on the Design of Experiment analysis, regression models are presented to quantify the effects of these parameters on the Net Present Value and Simple Payback Periods. This novel approach is developed utilizing the response surface methodology (RSM) based on the central composite design (CCD) method.  Sensitivity analysis of the economic parameters was also examined in this research. Optimal values of these parameters were obtained for the two economic indexes as response functions.


  1. Bloomquist, R. G. 2002. “Combined Heat and Power: Equipment Options and Application Alternatives.” Cogeneration & Distributed Generation Journal, 17(4), pp.6–20. 
  2. Ebrahimi, M., Keshavarz, A. and Jamali, A. 2012. “Energy and exergy analyses of a micro-steam CCHP cycle for a residential building.” Energy and Buildings, 45, pp.202–210. 
  3. Keshavarz, A. and Ebrahimi, M. 2015. Combined Cooling, Heating and Power. Elsevier. 
  4. Cho, H., Smith, A. D. and Mago, P. 2014. “Combined cooling, heating and power: A review of performance improvement and optimization.” Applied Energy, 136, pp.168–185. 
  5. Pirkandi, J., Jokar, M. A., Sameti, M., Kasaeian, A. and Kasaeian, F. 2016. “Simulation and multi-objective optimization of a combined heat and power (CHP) system integrated with low-energy buildings.” Journal of Building Engineering, 5, pp.13–23. 
  6. Mohammadi, A., Kasaeian, A., Pourfayaz, F. and Ahmadi, M. H. 2017. “Thermodynamic analysis of a combined gas turbine, ORC cycle and absorption refrigeration for a CCHP system.” Applied Thermal Engineering, 111, pp.397–406. 
  7. Moné, C. ., Chau, D. . and Phelan, P. . 2001. “Economic feasibility of combined heat and power and absorption refrigeration with commercially available gas turbines.” Energy Conversion and Management, 42(13), pp.1559–1573. 
  8. Silveira, J. L. and Tuna, C. E. 2003. “Thermoeconomic analysis method for optimization of combined heat and power systems. Part I.” Progress in Energy and Combustion Science, 29(6), pp.479–485. 
  9. Ziher, D. and Poredos, A. 2006. “Economics of a trigeneration system in a hospital.” Applied Thermal Engineering, 26(7), pp.680–687. 
  10. Mago, P. J. and Chamra, L. M. 2009. “Analysis and optimization of CCHP systems based on energy, economical, and environmental considerations.” Energy and Buildings, 41(10), pp.1099–1106. 
  11. Ghaebi, H., Amidpour, M., Karimkashi, S. and Rezayan, O. 2011. “Energy, exergy and thermoeconomic analysis of a combined cooling, heating and power (CCHP) system with gas turbine prime mover.” International Journal of Energy Research, 35(8), pp.697–709. 
  12. Yan, B., Xue, S., Li, Y., Duan, J. and Zeng, M. 2016. “Gas-fired combined cooling, heating and power (CCHP) in Beijing: A techno-economic analysis.” Renewable and Sustainable Energy Reviews, 63, pp.118–131. 
  13. Fani, M. and Sadreddin, A. 2017. “Solar assisted CCHP system, energetic, economic and environmental analysis, case study: Educational office buildings.” Energy and Buildings, 136, pp.100–109. 
  14. Montgomery, D. 2017. Design and analysis of experiments. John wiley & sons. 
  15. Hatami, M., Cuijpers, M. C. M. and Boot, M. D. 2015. “Experimental optimization of the vanes geometry for a variable geometry turbocharger (VGT) using a Design of Experiment (DoE) approach.” Energy Conversion and Management, 106, pp.1057–1070. 
  16. Roy, D., Samanta, S. and Ghosh, S. 2020. “Performance optimization through response surface methodology of an integrated biomass gasification based combined heat and power plant employing solid oxide fuel cell and externally fired gas turbine.” Energy Conversion and Management, 222, pp.113182. 
  17. Mojaver, P., Khalilarya, S. and Chitsaz, A. 2019. “Multi-objective optimization using response surface methodology and exergy analysis of a novel integrated biomass gasification, solid oxide fuel cell and high-temperature sodium heat pipe system.” Applied Thermal Engineering, 156, pp.627–639. 
  18. Mojaver, P., Jafarmadar, S., Khalilarya, S. and Chitsaz, A. 2020. “Investigation and optimization of a Co-Generation plant integrated of gasifier, gas turbine and heat pipes using minimization of Gibbs free energy, Lagrange method and response surface methodology.” International Journal of Hydrogen Energy, 45(38), pp.19027–19044. 
  19. Pires, T. S., Cruz, M. E. and Colaço, M. J. 2013. “Response surface method applied to the thermoeconomic optimization of a complex cogeneration system modeled in a process simulator.” Energy, 52, pp.44–54. 
  20. Cali, M., Santarelli, M. and Leone, P. 2007. “Design of experiments for fitting regression models on the tubular SOFC CHP100kWe: Screening test, response surface analysis and optimization.” International Journal of Hydrogen Energy, 32(3), pp.343–358. 
  21. Kazemian, M. E. and Gandjalikhan Nassab, S. A. 2020. “Thermodynamic Analysis and Statistical Investigation of Effective Parameters for Gas Turbine Cycle using the Response Surface Methodology.” International Journal of Engineering, Transaction C: Aspects, 33(6), pp.894–905. 
  22. Valero, A., Lozano, M. A., Serra, L., Tsatsaronis, G., Pisa, J., Frangopoulos, C. and von Spakovsky, M. R. 1994. “CGAM problem: Definition and conventional solution.” Energy, 19(3), pp.279–286. 
  23. Barzegar Avval, H., Ahmadi, P., Ghaffarizadeh, A. R. and Saidi, M. H. 2011. “Thermo-economic-environmental multiobjective optimization of a gas turbine power plant with preheater using evolutionary algorithm.” International Journal of Energy Research, 35(5), pp.389–403. 
  24. Herold, K. E., Radermacher, R. and Klein, S. A. 2016. Absorption Chillers and Heat Pumps. CRC Press. 
  25. Sanaye, S. and Hajabdollahi, H. 2014. “4 E analysis and multi-objective optimization of CCHP using MOPSOA.” Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 228(1), pp.43–60. 
  26. Ren, F., Wei, Z. and Zhai, X. 2021. “Multi-objective optimization and evaluation of hybrid CCHP systems for different building types.” Energy, 215, pp.119096. 
  27. Georgousopoulos, S., Braimakis, K., Grimekis, D. and Karellas, S. 2021. “Thermodynamic and techno-economic assessment of pure and zeotropic fluid ORCs for waste heat recovery in a biomass IGCC plant.” Applied Thermal Engineering, 183, pp.116202. 
  28. Abrosimov, K. A., Baccioli, A. and Bischi, A. 2020. “Techno-economic analysis of combined inverted Brayton – Organic Rankine cycle for high-temperature waste heat recovery.” Energy Conversion and Management, 207, pp.112336. 
  29. Mohammadi, K. and McGowan, J. G. 2019. “A thermo-economic analysis of a combined cooling system for air conditioning and low to medium temperature refrigeration.” Journal of Cleaner Production, 206, pp.580–597. 
  30. Paiho, S., Pulakka, S. and Knuuti, A. 2017. “Life-cycle cost analyses of heat pump concepts for Finnish new nearly zero energy residential buildings.” Energy and Buildings, 150, pp.396–402. 
  31. Chemical Engineering Plant Cost Index (CEPCI). Retrieved from 
  32. Zopounidis Doumpos, Michael, Pardalos, Panos, C. 2008. Handbook of Financial Engineering (Vol. 18). Springer US. 
  33. Mäkelä, M. 2017. “Experimental design and response surface methodology in energy applications: A tutorial review.” Energy Conversion and Management, 151, pp.630–640. 
  34. Cardona, E., Piacentino, A. and Marchese, F. 2007. “Performance evaluation of CHP hybrid seawater desalination plants.” Desalination, 205(1–3), pp.1–14. 
  35. Jannatabadi, M., Rahbari, H. R. and Arabkoohsar, A. 2021. “District cooling systems in Iranian energy matrix, a techno-economic analysis of a reliable solution for a serious challenge.” Energy, 214, pp.118914. 
  36. Cioccolanti, L., Savoretti, A., Renzi, M., Caresana, F. and Comodi, G. 2016. “Comparison of different operation modes of a single effect thermal desalination plant using waste heat from m-CHP units.” Applied Thermal Engineering, 100, pp.646–657. 
  37. Mohammadi, A., Ashouri, M., Ahmadi, M. H., Bidi, M., Sadeghzadeh, M. and Ming, T. 2018. “Thermoeconomic analysis and multiobjective optimization of a combined gas turbine, steam, and organic Rankine cycle.” Energy Science & Engineering, 6(5), pp.506–522. 
  38. Myers, R. H. and Montgomery, D. C. 2009. Response Surface Methodology, Wiley New York. 
  39. Wu, C. F. J. and Hamada, M. 2000. Experiments planning analysis and parameter design optimization. Jhon Wiley and Sons. Inc., Singapore.