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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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    1. Costa, Andrea & Paris, Jean & Towers, Michael & Browne, Thomas, 2007. "Economics of trigeneration in a kraft pulp mill for enhanced energy efficiency and reduced GHG emissions," Energy, Elsevier, vol. 32(4), pages 474-481.
    2. Arcuri, P. & Florio, G. & Fragiacomo, P., 2007. "A mixed integer programming model for optimal design of trigeneration in a hospital complex," Energy, Elsevier, vol. 32(8), pages 1430-1447.
    3. Rong, Aiying & Lahdelma, Risto & Luh, Peter B., 2008. "Lagrangian relaxation based algorithm for trigeneration planning with storages," European Journal of Operational Research, Elsevier, vol. 188(1), pages 240-257, July.
    4. Bogdan, Željko & Kopjar, Damir, 2006. "Improvement of the cogeneration plant economy by using heat accumulator," Energy, Elsevier, vol. 31(13), pages 2285-2292.
    5. Oh, Si-Doek & Oh, Hoo-Suk & Kwak, Ho-Young, 2007. "Economic evaluation for adoption of cogeneration system," Applied Energy, Elsevier, vol. 84(3), pages 266-278, March.
    6. Cardona, E. & Piacentino, A., 2006. "A new approach to exergoeconomic analysis and design of variable demand energy systems," Energy, Elsevier, vol. 31(4), pages 490-515.
    7. Hernández-Santoyo, Joel & Sánchez-Cifuentes, Augusto, 2003. "Trigeneration: an alternative for energy savings," Applied Energy, Elsevier, vol. 76(1-3), pages 219-227, September.
    8. Rong, Aiying & Lahdelma, Risto, 2005. "An efficient linear programming model and optimization algorithm for trigeneration," Applied Energy, Elsevier, vol. 82(1), pages 40-63, September.
    9. Lam, Joseph C. & Wan, Kevin K.W. & Cheung, K.L., 2009. "An analysis of climatic influences on chiller plant electricity consumption," Applied Energy, Elsevier, vol. 86(6), pages 933-940, June.
    10. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Matrix modelling of small-scale trigeneration systems and application to operational optimization," Energy, Elsevier, vol. 34(3), pages 261-273.
    11. Houwing, Michiel & Ajah, Austin N. & Heijnen, Petra W. & Bouwmans, Ivo & Herder, Paulien M., 2008. "Uncertainties in the design and operation of distributed energy resources: The case of micro-CHP systems," Energy, Elsevier, vol. 33(10), pages 1518-1536.
    12. Fragaki, Aikaterini & Andersen, Anders N. & Toke, David, 2008. "Exploration of economical sizing of gas engine and thermal store for combined heat and power plants in the UK," Energy, Elsevier, vol. 33(11), pages 1659-1670.
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    Cited by:

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    9. 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.
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    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.

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