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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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    Cited by:

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    3. Ghafariasl, Parviz & Mahmoudan, Alireza & Mohammadi, Mahmoud & Nazarparvar, Aria & Hoseinzadeh, Siamak & Fathali, Mani & Chang, Shing & Zeinalnezhad, Masoomeh & Garcia, Davide Astiaso, 2024. "Neural network-based surrogate modeling and optimization of a multigeneration system," Applied Energy, Elsevier, vol. 364(C).
    4. 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.
    5. 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.
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    7. 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).
    8. 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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