Analysis of energy systems for poly-generation using optimization modelling: the optimization process strategies and the formalization of an innovative multi-objective optimization model

Petronilla Fragiacomo; Giuseppe Lucarelli; Gaetano Florio

doi:10.1051/e3sconf/202123805002

All issues

Volume 238 (2021)

E3S Web Conf., 238 (2021) 05002

References

Open Access

Issue		E3S Web Conf. Volume 238, 2021 100RES 2020 – Applied Energy Symposium (ICAE), 100% RENEWABLE: Strategies, Technologies and Challenges for a Fossil Free Future


Article Number		05002
Number of page(s)		6
Section		Energy Grids and Flexibility
DOI		https://doi.org/10.1051/e3sconf/202123805002
Published online		16 February 2021

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[1] P. Simeoni, G. Nardin and G. Ciotti, “Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy, ” Energy, 163, pp. 443-456, 2018. [Google Scholar]

[2] W. F. Payne, «Cogeneration/CHP In Industry, » Cogeneration and Competitive Power Journal, Vol. 17, n. 3, p. 5, 2002. [Google Scholar]

[3] M. Liu, Y. Shi, F. Fang «A new operation strategy for CCHP systems with hybrid chillers» Applied Energy, Vol. 95, pp. 164-173, 2012. [Google Scholar]

[4] R. Hite, «Cogeneration/Combined Heat and Power: An Overview, » Cogeneration and Competitive Power Journal, Vol. 17, n. 3, pp. 64-79, 2002. [Google Scholar]

[5] U. Çakir, K. Çomaklie F. Yüksel, «The role of cogeneration systems in sustainability of energy, » Energy Conversion and Management, Vol. 63, pp. 196202, 2012. [Google Scholar]

[6] F. Freschi, L. Giaccone, P. Lazzeroni, M. Repetto, «Economic and environmental analysis of a trigeneration system for food-industry: A case study» Applied Energy, Vol. 107, pp. 157-172, 2013. [Google Scholar]

[7] E. Thorin, H. Brande C. Weber, «Long-term optimization of cogeneration systems in a competitive market environment, » Applied Energy, Vol. 81, n. 2, pp. 152-169, 2005. [Google Scholar]

[8] X. Zheng, G. Wu, Y. Qiu, X. Zhan, N. Shah, N. Li, Y. Zhao, «A MINLP multi-objective optimization model for operational planning of a case study CCHP system in Urban China» Applied Energy, Vol. 210, pp 1126-1140, 2018 [Google Scholar]

[9] Z. Tian, J. Niu, Y. He, X. Tian, «The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy» Applied Energy, Vol. 165, pp 430-444, 2016. [Google Scholar]

[10] Y. Yang, S. Zhang, Y. Xiao, «Optimal design of distributed energy resource systems based on two-stage stochastic programming» Applied Energy, Vol. 110, pp 1358-1370, 2017. [Google Scholar]

[11] P. Arcuri, P. Beraldi, G. Florioe P. Fragiacomo, «Optimal design of a small size trigeneration plant in civil users: A MINLP (Mixed Integer Non Linear Programming Model), » Energy, n. 80, pp. 628-641, 2015. [Google Scholar]

[12] P. Arcuri, P. Fragiacomoe G. Florio, «A mixed integer programming model for optimal design of trigeneration in a hospital complex, » Energy, n. 32, pp. 1430-1447, 2007. [Google Scholar]

[13] L. Urbanucci, «Limits and potentials of Mixed Integer Linear Programming methods for optimization of polygeneration energy systems, » Energy Procedia, Vol. 148, pp. 1199-1205, 2018. [Google Scholar]

[14] M. Casisi, P. Pinamontie M. Reini, «Optimal lay-out and operation of combined heat & power (CHP) distributed generation systems, » Energy, Vol. 34, n. December 2009, pp. 2175-2183, 2009. [Google Scholar]

[15] «Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market, » European Journal of Operational Research, Vol. 261, n. August 2017, pp. 390-404, 2017. [Google Scholar]

[16] E. Commission, «EU Science Hub, » [Online]. Available: https://ec.europa.eu/jrc/en/energyefficiency/eed-support/energy-service-companies. [Consultato il giorno 12 04 2019]. [Google Scholar]