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Surrogate modeling for the fast optimization of energy systems

Author

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  • Bornatico, Raffaele
  • Hüssy, Jonathan
  • Witzig, Andreas
  • Guzzella, Lino

Abstract

While software simulations in the building technology field are essential for designing efficient systems, for specific applications, the tools currently available are computationally too expensive. This paper presents a novel approach for the fast computation of accurate simulation results and demonstrates its efficacy for solving a multiobjective optimization problem.

Suggested Citation

  • Bornatico, Raffaele & Hüssy, Jonathan & Witzig, Andreas & Guzzella, Lino, 2013. "Surrogate modeling for the fast optimization of energy systems," Energy, Elsevier, vol. 57(C), pages 653-662.
    • Handle: RePEc:eee:energy:v:57:y:2013:i:c:p:653-662
    DOI: 10.1016/j.energy.2013.05.044
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    References listed on IDEAS

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    1. Fazlollahi, Samira & Mandel, Pierre & Becker, Gwenaelle & Maréchal, Francois, 2012. "Methods for multi-objective investment and operating optimization of complex energy systems," Energy, Elsevier, vol. 45(1), pages 12-22.
    2. Lee, Kyoung-Ho & Lee, Dong-Won & Baek, Nam-Choon & Kwon, Hyeok-Min & Lee, Chang-Jun, 2012. "Preliminary determination of optimal size for renewable energy resources in buildings using RETScreen," Energy, Elsevier, vol. 47(1), pages 83-96.
    3. Taymaz, Imdat & Akgun, Fehmi & Benli, Merthan, 2011. "Application of response surface methodology to optimize and investigate the effects of operating conditions on the performance of DMFC," Energy, Elsevier, vol. 36(2), pages 1155-1160.
    4. Sayyaadi, Hoseyn & Mehrabipour, Reza, 2012. "Efficiency enhancement of a gas turbine cycle using an optimized tubular recuperative heat exchanger," Energy, Elsevier, vol. 38(1), pages 362-375.
    5. Sayyaadi, Hoseyn & Aminian, Hamid Reza, 2010. "Design and optimization of a non-TEMA type tubular recuperative heat exchanger used in a regenerative gas turbine cycle," Energy, Elsevier, vol. 35(4), pages 1647-1657.
    6. Bornatico, Raffaele & Pfeiffer, Michael & Witzig, Andreas & Guzzella, Lino, 2012. "Optimal sizing of a solar thermal building installation using particle swarm optimization," Energy, Elsevier, vol. 41(1), pages 31-37.
    7. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J., 2013. "Response surface method applied to the thermoeconomic optimization of a complex cogeneration system modeled in a process simulator," Energy, Elsevier, vol. 52(C), pages 44-54.
    8. Milan, Christian & Bojesen, Carsten & Nielsen, Mads Pagh, 2012. "A cost optimization model for 100% renewable residential energy supply systems," Energy, Elsevier, vol. 48(1), pages 118-127.
    9. van Ruijven, Bas & de Vries, Bert & van Vuuren, Detlef P. & van der Sluijs, Jeroen P., 2010. "A global model for residential energy use: Uncertainty in calibration to regional data," Energy, Elsevier, vol. 35(1), pages 269-282.
    10. Shi, Xing, 2011. "Design optimization of insulation usage and space conditioning load using energy simulation and genetic algorithm," Energy, Elsevier, vol. 36(3), pages 1659-1667.
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    Cited by:

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    2. Perera, A.T.D. & Wickramasinghe, P.U. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "Machine learning methods to assist energy system optimization," Applied Energy, Elsevier, vol. 243(C), pages 191-205.
    3. Cheng Yan & Jianfeng Zhu & Xiuli Shen & Jun Fan & Dong Mi & Zhengming Qian, 2020. "Ensemble of Regression-Type and Interpolation-Type Metamodels," Energies, MDPI, vol. 13(3), pages 1-20, February.
    4. Wang, Lixiao & Jing, Z.X. & Zheng, J.H. & Wu, Q.H. & Wei, Feng, 2018. "Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals," Energy, Elsevier, vol. 158(C), pages 607-622.
    5. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
    6. Abokersh, Mohamed Hany & Vallès, Manel & Cabeza, Luisa F. & Boer, Dieter, 2020. "A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis," Applied Energy, Elsevier, vol. 267(C).
    7. Ahmed Al Amoodi & Elie Azar, 2018. "Impact of Human Actions on Building Energy Performance: A Case Study in the United Arab Emirates (UAE)," Sustainability, MDPI, vol. 10(5), pages 1-19, May.

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