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A new criterion for the allocation of residues cost in exergoeconomic analysis of energy systems

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  • Seyyedi, Seyyed Masoud
  • Ajam, Hossein
  • Farahat, Said

Abstract

In any energy system that produces work, heat and so on, disposal remaining flows of matter or energy, which are called residues, will appear. In the exergoeconomic analysis of these systems, one of the complex problems is residues cost allocation in a rational way. Two more important criteria of the residues cost allocation are distribution of the cost of the residues proportional to the exergy as well as proportional to the entropy generation or negentropy. In this paper, a new criterion for the residues cost allocation is proposed that it is based on the entropy distributed in the components, and not on the entropy generated along the process. This new criterion uses the fuel–product (FP) table, a mathematical representation of the thermoeconomic model, as input data. The important characteristic of this new criterion is the use of a new FP table (FP〈S〉 table) which is constructed using energy and exergy of flows. The proposed criterion is applied to a combined cycle and results are compared with the two other criteria. Results show that this criterion is more suitable and rational than the two other criteria.

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  • Seyyedi, Seyyed Masoud & Ajam, Hossein & Farahat, Said, 2010. "A new criterion for the allocation of residues cost in exergoeconomic analysis of energy systems," Energy, Elsevier, vol. 35(8), pages 3474-3482.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:8:p:3474-3482
    DOI: 10.1016/j.energy.2010.04.047
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    2. Querol, E. & Gonzalez-Regueral, B. & Ramos, A. & Perez-Benedito, J.L., 2011. "Novel application for exergy and thermoeconomic analysis of processes simulated with Aspen Plus®," Energy, Elsevier, vol. 36(2), pages 964-974.
    3. Rosseto de Faria, Pedro & Aiolfi Barone, Marcelo & Guedes dos Santos, Rodrigo & Santos, José Joaquim C.S., 2023. "The environment as a thermoeconomic diagram device for the systematic and automatic waste and environmental cost internalization in thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Calise, F. & Dentice d'Accadia, M. & Piacentino, A., 2015. "Exergetic and exergoeconomic analysis of a renewable polygeneration system and viability study for small isolated communities," Energy, Elsevier, vol. 92(P3), pages 290-307.
    5. Agudelo, Andrés & Valero, Antonio & Torres, César, 2012. "Allocation of waste cost in thermoeconomic analysis," Energy, Elsevier, vol. 45(1), pages 634-643.
    6. Luo, Xianglong & Hu, Jiahao & Zhao, Jun & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2014. "Improved exergoeconomic analysis of a retrofitted natural gas-based cogeneration system," Energy, Elsevier, vol. 72(C), pages 459-475.
    7. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    8. Gao, Jintong & Zhang, Qi & Wang, Xiaozhuang & Song, Dayong & Liu, Weiqi & Liu, Wenchao, 2018. "Exergy and exergoeconomic analyses with modeling for CO2 allocation of coal-fired CHP plants," Energy, Elsevier, vol. 152(C), pages 562-575.
    9. Picallo-Perez, Ana & Sala-Lizarraga, José M. & Portillo-Valdes, Luis, 2022. "Development of a tool based on thermoeconomics for control and diagnosis building thermal facilities," Energy, Elsevier, vol. 239(PD).
    10. Turan, Onder & Aydin, Hakan, 2014. "Exergetic and exergo-economic analyses of an aero-derivative gas turbine engine," Energy, Elsevier, vol. 74(C), pages 638-650.
    11. Sanaye, Sepehr & Fardad, Abbasali & Mostakhdemi, Masoud, 2011. "Thermoeconomic optimization of an ice thermal storage system for gas turbine inlet cooling," Energy, Elsevier, vol. 36(2), pages 1057-1067.
    12. Manassaldi, Juan I. & Mussati, Sergio F. & Scenna, Nicolás J., 2011. "Optimal synthesis and design of Heat Recovery Steam Generation (HRSG) via mathematical programming," Energy, Elsevier, vol. 36(1), pages 475-485.

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