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Exergy cost allocation method based on energy level (ECAEL) for a CCHP system

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  • Wang, Zefeng
  • Han, Wei
  • Zhang, Na
  • Liu, Meng
  • Jin, Hongguang

Abstract

A systematic method (ECAEL) is proposed for defining additional allocation equations and calculating the exergy cost of flows in thermal system. This method is based on the concept of the energy level, in which the continuous cost change within each component is considered. Thermoeconomic analysis using this method is carried out on a combined cooling, heating and power (CCHP) system, which consists of a gas turbine (TUR), an absorption chiller (ABC) and a heating water heat exchanger (HWHE). The thermoeconomic model for this system is defined to evaluate the productive relationships among the different components. The costs of all flows are calculated by solving the exergy consumption and allocation equations with design conditions. Moreover, a comparative analysis between proposed exergy cost allocation method and the conventional method is presented. As a result, the proposed method not only provides an accurate cost allocation output but also presents the dynamic cost of the flows within each component. Finally, the unit exergy cost is converted into the unit energy cost to evaluate the final products. According to this method, the unit energy costs of electricity ranks highest, followed by those of chilled water and heating water. The proposed method provides an option to complete the thermoeconomic analysis of multi-product systems.

Suggested Citation

  • Wang, Zefeng & Han, Wei & Zhang, Na & Liu, Meng & Jin, Hongguang, 2017. "Exergy cost allocation method based on energy level (ECAEL) for a CCHP system," Energy, Elsevier, vol. 134(C), pages 240-247.
  • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:240-247
    DOI: 10.1016/j.energy.2017.06.015
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    References listed on IDEAS

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    4. Zhao, Yuxuan & Liu, Shengyuan & Lin, Zhenzhi & Wen, Fushuan & Ding, Yi, 2021. "Coordinated scheduling strategy for an integrated system with concentrating solar power plants and solar prosumers considering thermal interactions and demand flexibilities," Applied Energy, Elsevier, vol. 304(C).
    5. Dorotić, Hrvoje & Pukšec, Tomislav & Schneider, Daniel Rolph & Duić, Neven, 2021. "Evaluation of district heating with regard to individual systems – Importance of carbon and cost allocation in cogeneration units," Energy, Elsevier, vol. 221(C).
    6. Pavel Atănăsoae, 2022. "Allocation of Joint Costs and Price Setting for Electricity and Heat Generated in Cogeneration," Energies, MDPI, vol. 16(1), pages 1-20, December.
    7. Wang, Zefeng & Han, Wei & Zhang, Na & Gan, Zhongxue & Sun, Jie & Jin, Hongguang, 2018. "Energy level difference graphic analysis method of combined cooling, heating and power systems," Energy, Elsevier, vol. 160(C), pages 1069-1077.
    8. Mohammad Hossein Ahmadi & Seyed Ali Banihashem & Mahyar Ghazvini & Milad Sadeghzadeh, 2018. "Thermo-economic and exergy assessment and optimization of performance of a hydrogen production system by using geothermal energy," Energy & Environment, , vol. 29(8), pages 1373-1392, December.
    9. Aghbashlo, Mortaza & Khounani, Zahra & Hosseinzadeh-Bandbafha, Homa & Gupta, Vijai Kumar & Amiri, Hamid & Lam, Su Shiung & Morosuk, Tatiana & Tabatabaei, Meisam, 2021. "Exergoenvironmental analysis of bioenergy systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    10. Huang, Weijia & Zheng, Danxing & Chen, Xiaohui & Shi, Lin & Dai, Xiaoye & Chen, Youhui & Jing, Xuye, 2020. "Standard thermodynamic properties for the energy grade evaluation of fossil fuels and renewable fuels," Renewable Energy, Elsevier, vol. 147(P1), pages 2160-2170.
    11. Song, Meng & Ding, Jianyong & Gao, Ciwei & Yan, Mingyu & Ban, Mingfei & Liu, Zicheng & Bai, Wenchao, 2024. "Exergy-driven optimal operation of virtual energy station based on coordinated cooperative and Stackelberg games," Applied Energy, Elsevier, vol. 360(C).

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