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Integration of trigeneration system and thermal storage under demand uncertainties

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  • Lai, Sau Man
  • Hui, Chi Wai

Abstract

In a commercial building, a large portion of electricity is usually consumed in air conditioning to control indoor-air temperature and humidity. Energy savings or efficient production in air conditioning system is, therefore, crucial. In recent years, trigeneration systems, which provide electricity, heating and cooling, and thermal storage systems, which temporarily store cooling energy to smooth its production pattern, are attracting more attentions. These systems with different operating principles are usually designed based on nominal or peak loadings. With altering seasonal or day/night cooling demands, the performance and overall economics of the design may deprive. This work focuses on the design of a flexible and economical thermal energy production system by integrating trigeneration and cold storage techniques. The capacity determination of the main equipment units, their interconnections and operating conditions during different demand periods and electricity costs are discussed. A case study is used to demonstrate the system's merits to improve the air conditioning efficiency with overall investment and operating cost reductions under demand uncertainties. As demonstrated, the economic attractiveness of a thermal energy production system is sensitive to the electricity tariff used. Although a high degree of flexibility in meeting demand changes is usually introduced with a trigeneration system, its expensive investment cost makes it less economically attractive under the discounted electricity tariff. A hybrid system which produces thermal energy via both electricity and town gas is introduced. This hybrid allows operation mode switching according to the energy cost variations and ensures the best economic return. The sole dependence on network electricity can also be avoided and the process's operability can be enhanced.

Suggested Citation

  • Lai, Sau Man & Hui, Chi Wai, 2010. "Integration of trigeneration system and thermal storage under demand uncertainties," Applied Energy, Elsevier, vol. 87(9), pages 2868-2880, September.
  • Handle: RePEc:eee:appene:v:87:y:2010:i:9:p:2868-2880
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    Cited by:

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    6. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
    7. Zhang, Yin & Wang, Xin & Zhuo, Siwen & Zhang, Yinping, 2016. "Pre-feasibility of building cooling heating and power system with thermal energy storage considering energy supply–demand mismatch," Applied Energy, Elsevier, vol. 167(C), pages 125-134.
    8. Wegener, Moritz & Malmquist, Anders & Isalgué, Antonio & Martin, Andrew, 2018. "Biomass-fired combined cooling, heating and power for small scale applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 392-410.
    9. Chung, Mo & Park, Hwa-Choon, 2012. "Building energy demand patterns for department stores in Korea," Applied Energy, Elsevier, vol. 90(1), pages 241-249.
    10. Chesi, Andrea & Ferrara, Giovanni & Ferrari, Lorenzo & Magnani, Sandro & Tarani, Fabio, 2013. "Influence of the heat storage size on the plant performance in a Smart User case study," Applied Energy, Elsevier, vol. 112(C), pages 1454-1465.
    11. Antonio Piacentino & Roberto Gallea & Pietro Catrini & Fabio Cardona & Domenico Panno, 2016. "On the Reliability of Optimization Results for Trigeneration Systems in Buildings, in the Presence of Price Uncertainties and Erroneous Load Estimation," Energies, MDPI, vol. 9(12), pages 1-31, December.
    12. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    13. Piacentino, Antonio & Barbaro, Chiara, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part II: Analysis of the applicative potential," Applied Energy, Elsevier, vol. 111(C), pages 1222-1238.
    14. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    15. Rosiek, Sabina & Batlles, Francisco Javier, 2013. "Renewable energy solutions for building cooling, heating and power system installed in an institutional building: Case study in southern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 147-168.
    16. Wang, Yaodong & Huang, Ye & Chiremba, Elijah & Roskilly, Anthony P. & Hewitt, Neil & Ding, Yulong & Wu, Dawei & Yu, Hongdong & Chen, Xiangping & Li, Yapeng & Huang, Jincheng & Wang, Ruzhu & Wu, Jingyi, 2011. "An investigation of a household size trigeneration running with hydrogen," Applied Energy, Elsevier, vol. 88(6), pages 2176-2182, June.
    17. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    18. Chen, Lingen & Yang, Bo & Feng, Huijun & Ge, Yanlin & Xia, Shaojun, 2020. "Performance optimization of an open simple-cycle gas turbine combined cooling, heating and power plant driven by basic oxygen furnace gas in China's steelmaking plants," Energy, Elsevier, vol. 203(C).
    19. Flores, Robert J. & Shaffer, Brendan P. & Brouwer, Jacob, 2014. "Dynamic distributed generation dispatch strategy for lowering the cost of building energy," Applied Energy, Elsevier, vol. 123(C), pages 196-208.
    20. Piacentino, Antonio & Barbaro, Chiara & Cardona, Fabio & Gallea, Roberto & Cardona, Ennio, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method," Applied Energy, Elsevier, vol. 111(C), pages 1204-1221.
    21. Kocijel, Lino & Mrzljak, Vedran & Glažar, Vladimir, 2020. "Numerical analysis of geometrical and process parameters influence on temperature stratification in a large volumetric heat storage tank," Energy, Elsevier, vol. 194(C).

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