Performance assessment and multi-objective optimization of a geothermal-based tri-generation system in hot Summer Continental Climate: Tianjin case study

被引:14
作者
Ma, Ruiqiang [1 ]
Hua, Yang [1 ]
Yu, Xiaohui [1 ,3 ]
Zhang, Haitao [2 ]
机构
[1] Hebei Univ Technol, Sch Energy & Environm Engn, Hebei Key Lab Thermal Sci & Energy Clean Utilizat, Tianjin 300401, Hebei, Peoples R China
[2] Chinese Acad Sci, Inst Proc Engn, Beijing Key Lab Ion Liquids Clean Proc, CAS Key Lab Green Proc & Engn, Beijing 100190, Peoples R China
[3] Huizhou Inst Green Energy & Adv Mat, Huizhou 516081, Peoples R China
关键词
Tri-generation system; Geothermal energy; Organic Rankine cycle; Absorption refrigeration cycle; Performance assessment; Multi-objective optimization; THERMOECONOMIC ANALYSIS; ORC SYSTEM; ENERGY; POWER; CYCLE; SOLAR;
D O I
10.1016/j.enconman.2022.116083
中图分类号
O414.1 [热力学];
学科分类号
摘要
Considerable interest in the investigation of energy supply systems that effectively utilize renewable energies is being aroused due to the shortage of fossil energy and serious environmental pollution. Geothermal energy is a considered as a promising alternative to fossil energy due to its advantages of large reserves, good stability, and strong sustainability. This paper developed a geothermal-driven tri-generation system to generate power and supply heating and cooling demand. The tri-generation system is composed of an absorption refrigeration cycle, a heat exchange cycle, and an organic Rankine cycle. The paper begins with an introduction to the thermodynamic, economic, and environment models of the presented system. The effects of the geothermal water parameters on the system performance were originally investigated based on the actual data of a sports center (zero energy building). This building is located in Jiefang South Road, Tianjin, which belong to Hot Summer Continental Climate. In addition, the multi-objective optimization of this system was carried out based on the TOPISIS decision-making method considering economic and environmental criteria. The minimum payback period and maximum carbon emission reduction were chosen as the optimization factors. Finally, the optimal temperature of geothermal water is obtained and the exergy analysis was performed under the optimal conditions. The results indicate that the presented system possesses an optimal geothermal water temperature of 83 degrees C. Under this temperature, the total thermal efficiency in cooling season and heating season were 41.17 % and 84.93 %, respectively. The exergy efficiency in cooling season and heating season were 47.28 % and 62.23 %, respectively. Our proposed system has equivalent annual operating cost of 12.9 k$/year, with a payback period (PBP) of 2.57 years and carbon emission reduction of 2379 ton/year. The condenser and evaporator need to be improved in terms of large exergy loss rate and low exergy efficiency.
引用
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页数:13
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共 31 条
[1]   Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry [J].
Aghaei, Ali Tavakkol ;
Saray, Rahim Khoshbakhti .
ENERGY, 2021, 229
[2]   Investigation of a concentrated solar-geothermal integrated system with a combined ejector-absorption refrigeration cycle for a small community [J].
Al-Hamed, K. H. M. ;
Dincer, I .
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2019, 106 :407-426
[3]   Thermodynamic performance evaluation of a geothermal ORC power plant [J].
Altun, A. F. ;
Kilic, M. .
RENEWABLE ENERGY, 2020, 148 :261-274
[4]   The role of cogeneration systems in sustainability of energy [J].
Cakir, Ugur ;
Comakli, Kemal ;
Yuksel, Fikret .
ENERGY CONVERSION AND MANAGEMENT, 2012, 63 :196-202
[5]   Energy, exergy, exergoenvironmental, and economic assessments of the multigeneration system powered by geothermal energy [J].
Cao, Yan ;
Ehyaei, M. A. .
JOURNAL OF CLEANER PRODUCTION, 2021, 313 (313)
[6]   Thermodynamic and economic assessments and multi-criteria optimization of a novel poly-generation plant using geothermal energy and multi heat recovery technique [J].
Cao, Yan ;
Dhahad, Hayder A. ;
Togun, Hussein ;
Hussen, Hasanen M. ;
Anqi, Ali E. ;
Farouk, Naeim ;
Issakhov, Alibek ;
Feili, Meysam .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (55) :27851-27873
[7]   Multi-constraint and multi-objective optimization of free-form reticulated shells using improved optimization algorithm [J].
Cao, Zhenggang ;
Wang, Zhicheng ;
Zhao, Lin ;
Fan, Feng ;
Sun, Ying .
ENGINEERING STRUCTURES, 2022, 250
[8]   Fundamental formulation of a modified LMTD method to study indirect evaporative heat exchangers [J].
Cui, X. ;
Chua, K. J. ;
Islam, M. R. ;
Yang, W. M. .
ENERGY CONVERSION AND MANAGEMENT, 2014, 88 :372-381
[9]   Energy, exergy and exergoeconomic analysis of a cogeneration system for power and hydrogen production purpose based on TRR method and using low grade geothermal source [J].
Ghaebi, Hadi ;
Farhang, Behzad ;
Parikhani, Towhid ;
Rostamzadeh, Hadi .
GEOTHERMICS, 2018, 71 :132-145
[10]   Multi-objective analysis of an influence of a geothermal water salinity on optimal operating parameters in low-temperature ORC power plant [J].
Jankowski, Marcin ;
Borsukiewicz, Aleksandra ;
Wisniewski, Slawomir ;
Hooman, Kamel .
ENERGY, 2020, 202