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A review of optimization based tools for design and control of building energy systems

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  • Barber, Kyle A.
  • Krarti, Moncef

Abstract

This paper reviews applications of multi-objective optimization approaches for design, control, and the combination of both design and control of a single element or a set of integrated building systems using the current state of the art in building energy modeling and simulation tools. The review provides background on the simulation tools and applicable data-analysis methods currently available to the building industry for both design-oriented and control-oriented optimization approaches of various energy systems. In particular, the analysis presented in this paper reviews the capabilities of these toolsets, as well as their suitability for use by industry professionals, and academic researchers. Reviewed studies show significant annual energy savings and peak load shifting potential for integrated system optimization within buildings. However, the available toolsets and frameworks are not suitable to readily perform multi-objective combined optimizations that integrate a wide range of building energy systems at industry scale. To maximize the efficiency of these systems and mitigate greenhouse gas emissions by buildings in accordance with goals set forth by nations across the world, a comprehensive and easy-to-use combined design and control-oriented optimization tool that interfaces easily with geometric architectural design tools is needed for the building simulation industry. Moreover, optimization-based building energy modeling and simulation tools that consider utility driven demand response and peak load management, would be beneficial for designing and operating a built environment that is resilient and sustainable. The case studies reviewed in this paper confirm the limited studies of energy simulation optimizations that have simultaneously analyzed design and control elements of building energy systems prior to construction. This review concludes that there is a need for the development of a more advanced user-friendly tools that integrate both design and control-oriented optimizations of building energy systems to truly transition the building energy industry forward beyond the common code compliance designs.

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  • Barber, Kyle A. & Krarti, Moncef, 2022. "A review of optimization based tools for design and control of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    • Handle: RePEc:eee:rensus:v:160:y:2022:i:c:s1364032122002696
    DOI: 10.1016/j.rser.2022.112359
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    2. Lantonio, Nicole A. & Krarti, Moncef, 2022. "Simultaneous design and control optimization of smart glazed windows," Applied Energy, Elsevier, vol. 328(C).
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    5. Lucarelli, Giuseppe & Genovese, Matteo & Florio, Gaetano & Fragiacomo, Petronilla, 2023. "3E (energy, economic, environmental) multi-objective optimization of CCHP industrial plant: Investigation of the optimal technology and the optimal operating strategy," Energy, Elsevier, vol. 278(PA).
    6. Deng, Zhipeng & Wang, Xuezheng & Dong, Bing, 2023. "Quantum computing for future real-time building HVAC controls," Applied Energy, Elsevier, vol. 334(C).

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