Energy efficient climate control in office buildings without giving up implementability
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DOI: 10.1016/j.apenergy.2015.05.075
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- Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
- Oldewurtel, Frauke & Sturzenegger, David & Morari, Manfred, 2013. "Importance of occupancy information for building climate control," Applied Energy, Elsevier, vol. 101(C), pages 521-532.
- Goyal, Siddharth & Ingley, Herbert A. & Barooah, Prabir, 2013. "Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance," Applied Energy, Elsevier, vol. 106(C), pages 209-221.
- Žáčeková, Eva & Váňa, Zdeněk & Cigler, Jiří, 2014. "Towards the real-life implementation of MPC for an office building: Identification issues," Applied Energy, Elsevier, vol. 135(C), pages 53-62.
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- Zhao, Dongliang & Lu, Xing & Fan, Tianzhu & Wu, Yuen Shing & Lou, Lun & Wang, Qiuwang & Fan, Jintu & Yang, Ronggui, 2018. "Personal thermal management using portable thermoelectrics for potential building energy saving," Applied Energy, Elsevier, vol. 218(C), pages 282-291.
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- Schmidt, Mischa & Åhlund, Christer, 2018. "Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 742-756.
- Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
- Ma, Jun & Cheng, Jack C.P., 2016. "Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology," Applied Energy, Elsevier, vol. 183(C), pages 182-192.
- Cui, Hongzhi & Tang, Waiching & Qin, Qinghua & Xing, Feng & Liao, Wenyu & Wen, Haibo, 2017. "Development of structural-functional integrated energy storage concrete with innovative macro-encapsulated PCM by hollow steel ball," Applied Energy, Elsevier, vol. 185(P1), pages 107-118.
- Ghahramani, Ali & Zhang, Kenan & Dutta, Kanu & Yang, Zheng & Becerik-Gerber, Burcin, 2016. "Energy savings from temperature setpoints and deadband: Quantifying the influence of building and system properties on savings," Applied Energy, Elsevier, vol. 165(C), pages 930-942.
- Rehman, Hassam Ur, 2017. "Experimental performance evaluation of solid concrete and dry insulation materials for passive buildings in hot and humid climatic conditions," Applied Energy, Elsevier, vol. 185(P2), pages 1585-1594.
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Keywords
Office buildings; Indoor climate control; Implementability; Air-based heating and cooling; Energy efficiency; Model-based controller;All these keywords.
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