Tube-based robust model predictive control of multi-zone demand-controlled ventilation systems for energy saving and indoor air quality
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DOI: 10.1016/j.apenergy.2021.118297
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- Bian, Yuexin & Fu, Xiaohan & Gupta, Rajesh K. & Shi, Yuanyuan, 2024. "Ventilation and temperature control for energy-efficient and healthy buildings: A differentiable PDE approach," Applied Energy, Elsevier, vol. 372(C).
- Sinha, Anshuman & Thakkar, Harshul & Rezaei, Fateme & Kawajiri, Yoshiaki & Realff, Matthew J., 2022. "Reduced building energy consumption by combined indoor CO2 and H2O composition control," Applied Energy, Elsevier, vol. 322(C).
- Gao, Yuan & Miyata, Shohei & Akashi, Yasunori, 2023. "Energy saving and indoor temperature control for an office building using tube-based robust model predictive control," Applied Energy, Elsevier, vol. 341(C).
- Jiang, Zixin & Deng, Zhipeng & Wang, Xuezheng & Dong, Bing, 2023. "PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk," Applied Energy, Elsevier, vol. 334(C).
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- Li, Chunxiao & Cui, Can & Li, Ming, 2023. "A proactive 2-stage indoor CO2-based demand-controlled ventilation method considering control performance and energy efficiency," Applied Energy, Elsevier, vol. 329(C).
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- Luna, José Diogo Forte de Oliveira & Naspolini, Amir & Reis, Guilherme Nascimento Gouvêa dos & Mendes, Paulo Renato da Costa & Normey-Rico, Julio Elias, 2024. "A novel joint energy and demand management system for smart houses based on model predictive control, hybrid storage system and quality of experience concepts," Applied Energy, Elsevier, vol. 369(C).
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Keywords
Demand-controlled ventilation; Robust model predictive control; Indoor air quality; Energy efficiency; Ventilation duct network model;All these keywords.
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