Low carbon operation optimisation strategies for heating, ventilation and air conditioning systems in office buildings

References

• Baldi, Simone, Christos D. Korkas, Maolong Lv, and Elias B. Kosmatopoulos. 2018. “Automating Occupant-Building Interaction via Smart Zoning of Thermostatic Loads: A Switched Self-Tuning Approach.” Applied Energy 231:1246–1258. https://doi.org/10.1016/j.apenergy.2018.09.188.
   Web of Science ®Google Scholar
• Calis, Gulben, Sevcan Demir Atalay, Merve Kuru, and Nalan Mutlu. 2017. “Forecasting Occupancy for Demand Driven HVAC Operations Using Time Series Analysis.” Journal of Asian Architecture and Building Engineering 16 (3): 655–660. https://doi.org/10.3130/jaabe.16.655.
   Web of Science ®Google Scholar
• Chae, Young Tae, Raya Horesh, Youngdeok Hwang, and Young M. Lee. 2016. “Artificial Neural Network Model for Forecasting Sub-Hourly Electricity Usage in Commercial Buildings.” Energy and Buildings 111 (1): 184–194. https://doi.org/10.1016/j.enbuild.2015.11.045.
   Google Scholar
• Chaudhuri, Tanaya, Yeng Chai Soh, Hua Li, and Lihua Xie. 2019. “A Feedforward Neural Network Based Indoor-Climate Control Framework for Thermal Comfort and Energy Saving in Buildings.” Applied Energy 248 (8): 44–53. https://doi.org/10.1016/j.apenergy.2019.04.065.
   Google Scholar
• Crucke, Saskia, Marie Servaes, Tom Kluijtmans, Shana Mertens, and Eveline Schollaert. 2022. “Linking Environmentally-Specific Transformational Leadership and Employees’ Green Advocacy: The Influence of Leadership Integrity.” Corporate Social Responsibility and Environmental Management 29 (2): 406–420. https://doi.org/10.1002/csr.2208.
   Web of Science ®Google Scholar
• Doganis, Philip, Eleni Aggelogiannaki, and Haralambos Sarimveis. 2008. “A Combined Model Predictive Control and Time Series Forecasting Framework for Production Inventory Systems.” International Journal of Production Research 46 (24): 6841–6853. https://doi.org/10.1080/00207540701523058.
   Web of Science ®Google Scholar
• Dolgui, Alexandre, and Jean-Marie Proth. 2010. Supply Chain Engineering. London: Springer. https://doi.org/10.1007/978-1-84996-017-5.
   Google Scholar
• Drgoňa, Ján, Javier Arroyo, Iago Cupeiro Figueroa, David Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, et al. 2020. “All You Need to Know About Model Predictive Control for Buildings.” Annual Reviews in Control 50:190–232. https://doi.org/10.1016/j.arcontrol.2020.09.001.
   Web of Science ®Google Scholar
• Drgoňa, Ján, Damien Picard, and Lieve Helsen. 2020. “Cloud-Based Implementation of White-Box Model Predictive Control for a GEOTABS Office Building: A Field Test Demonstration.” Journal of Process Control 88 (4): 63–77. https://doi.org/10.1016/j.jprocont.2020.02.007.
   Google Scholar
• Foucquier, Aurélie, Sylvain Robert, Frédéric Suard, Louis Stéphan, and Arnaud Jay. 2013. “State of the Art in Building Modelling and Energy Performances Prediction: A Review.” Renewable and Sustainable Energy Reviews 23 (7): 272–288. https://doi.org/10.1016/j.rser.2013.03.004.
   Google Scholar
• Harb, Hassan, Neven Boyanov, Luis Hernandez, Rita Streblow, and Dirk Mueller. 2016. “Development and Validation of Grey-Box Models for Forecasting the Thermal Response of Occupied Buildings.” Energy and Buildings 117 (4): 199–207. https://doi.org/10.1016/j.enbuild.2016.02.021.
   Google Scholar
• Hilliard, Trent, Lukas Swan, and Zheng Qin. 2017. “Experimental Implementation of Whole Building MPC with Zone Based Thermal Comfort Adjustments.” Building and Environment 125 (11): 326–338. https://doi.org/10.1016/j.buildenv.2017.09.003.
   Google Scholar
• Huang, Stanley Y. B., Chih-Wen Ting, and Yu-Ming Fei. 2021. “A Multilevel Model of Environmentally Specific Social Identity in Predicting Environmental Strategies: Evidence from Technology Manufacturing Businesses.” Sustainability 13 (8): 4567. https://doi.org/10.3390/su13084567.
   Web of Science ®Google Scholar
• Joe, Jaewan, and Panagiota Karava. 2019. “A Model Predictive Control Strategy to Optimize the Performance of Radiant Floor Heating and Cooling Systems in Office Buildings.” Applied Energy 245 (7): 65–77. https://doi.org/10.1016/j.apenergy.2019.03.209.
   Google Scholar
• Koh, S. C. Lenny, Fu (Jeff) Jia, Yu (Jack) Gong, Xiaoxue Zheng, and Alexandre Dolgui. 2023. “Achieving Carbon Neutrality via Supply Chain Management: Position Paper and Editorial for IJPR Special Issue.” International Journal of Production Research 61 (18): 6081–6092. https://doi.org/10.1080/00207543.2023.2232652.
   Web of Science ®Google Scholar
• Korkas, Christos D., Simone Baldi, and Elias B. Kosmatopoulos. 2018. “Grid-Connected Microgrids: Demand Management via Distributed Control and Human-in-the-Loop Optimization.” In Advances in Renewable Energies and Power Technologies, edited by Imene Yahyaoui, 315–344. Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-12-813185-5.00025-5.
   Google Scholar
• Korkas, Christos D., Simone Baldi, Iakovos Michailidis, and Elias B. Kosmatopoulos. 2016. “Occupancy-Based Demand Response and Thermal Comfort Optimization in Microgrids with Renewable Energy Sources and Energy Storage.” Applied Energy 163:93–104. https://doi.org/10.1016/j.apenergy.2015.10.140.
   Web of Science ®Google Scholar
• Kusiak, Andrew, Fan Tang, and Guanglin Xu. 2011. “Multi-Objective Optimization of HVAC System with an Evolutionary Computation Algorithm.” Energy 36 (5): 2440–2449. https://doi.org/10.1016/j.energy.2011.01.030.
   Web of Science ®Google Scholar
• Lee, Doyun, Ryozo Ooka, Shintaro Ikeda, Wonjun Choi, and Younghoon Kwak. 2020. “Model Predictive Control of Building Energy Systems with Thermal Energy Storage in Response to Occupancy Variations and Time-Variant Electricity Prices.” Energy and Buildings 225 (10): 110291. https://doi.org/10.1016/j.enbuild.2020.110291.
   Google Scholar
• Li, Zhongqiu, Liang Liang, Xue Zhang, and Jintong Li. 2022. “Impact of Environmentally Specific Transformational Leadership on Organizational Citizenship Behaviour for the Environment: The Role of Moral Reflectiveness and Leader Group Prototypicality.” Journal of Environmental Planning and Management 2:1–18. https://doi.org/10.1080/09640568.2022.2027748.
   Google Scholar
• Li, Yanfei, Zheng O’Neill, Liang Zhang, Jianli Chen, Piljae Im, and Jason DeGraw. 2021. “Grey-Box Modelling and Application for Building Energy Simulations – a Critical Review.” Renewable and Sustainable Energy Reviews 146 (8): 111174. https://doi.org/10.1016/j.rser.2021.111174.
   Google Scholar
• Lindelöf, David, Hossein Afshari, Mohammad Alisafaee, Jayant Biswas, Miroslav Caban, Xavier Mocellin, and Jean Viaene. 2015. “Field Tests of an Adaptive, Model-Predictive Heating Controller for Residential Buildings.” Energy and Buildings 99 (7): 292–302. https://doi.org/10.1016/j.enbuild.2015.04.029.
   Google Scholar
• Liu, Yang. 2013. “Sustainable Competitive Advantage in Turbulent Business Environments.” International Journal of Production Research 51 (10): 2821–2841. https://doi.org/10.1080/00207543.2012.720392.
   Web of Science ®Google Scholar
• Liu, Boming, Murat Akcakaya, and Thomas E. Mcdermott. 2021. “Automated Control of Transactive HVACs in Energy Distribution Systems.” IEEE Transactions on Smart Grid 12 (3): 2462–2471. https://doi.org/10.1109/TSG.2020.3042498.
   Web of Science ®Google Scholar
• Luu, Tuan Trong. 2019. “Building Employees’ Organizational Citizenship Behaviour for the Environment: The Role of Environmentally-Specific Servant Leadership and a Moderated Mediation Mechanism.” International Journal of Contemporary Hospitality Management 31 (1): 406–426. https://doi.org/10.1108/IJCHM-07-2017-0425.
   Web of Science ®Google Scholar
• Motuzienė, Violeta, Jonas Bielskus, Vilūnė Lapinskienė, Genrika Rynkun, and Jolita Bernatavičienė. 2022. “Office Buildings Occupancy Analysis and Prediction Associated with the Impact of the COVID-19 Pandemic.” Sustainable Cities and Society 77 (2): 103557. https://doi.org/10.1016/j.scs.2021.103557.
   PubMedGoogle Scholar
• Norouziasl, Seddigheh, Amirhosein Jafari, and Chao Wang. 2020. “An Agent-Based Simulation of Occupancy Behaviour in Office Buildings.” Building and Environment 186 (12): 107352. https://doi.org/10.1016/j.buildenv.2020.107352.
   Google Scholar
• Nweye, Kingsley, and Zoltan Nagy. 2022. “MARTINI: Smart Meter Driven Estimation of HVAC Schedules and Energy Savings Based on Wi-Fi Sensing and Clustering.” Applied Energy 316 (6): 118980. https://doi.org/10.1016/j.apenergy.2022.118980.
   Google Scholar
• Ogunsola, Oluwaseyi T., and Li Song. 2015. “Application of a Simplified Thermal Network Model for Real-Time Thermal Load Estimation.” Energy and Buildings 96 (6): 309–318. https://doi.org/10.1016/j.enbuild.2015.03.044.
   Google Scholar
• Ouyang, Jianjun, and Jie Fu. 2020. “Optimal Strategies of Improving Energy Efficiency for an Energy-Intensive Manufacturer Considering Consumer Environmental Awareness.” International Journal of Production Research 58 (4): 1017–1033. https://doi.org/10.1080/00207543.2019.1607977.
   Web of Science ®Google Scholar
• Peng, Jian, Xiao Chen, Yanchun Zou, and Qi Nie. 2021. “Environmentally Specific Transformational Leadership and Team Pro-Environmental Behaviours: The Roles of Pro-Environmental Goal Clarity, Pro-Environmental Harmonious Passion, and Power Distance.” Human Relations 74 (11): 1864–1888. https://doi.org/10.1177/0018726720942306.
   Web of Science ®Google Scholar
• Pereira, Nestor, and Manel Martínez-Ramón. 2023. “Energy Usage and Human Behaviour Modelling for Residential Bottom-Up Energy Simulation.” Energy and Buildings 279 (1): 112653. https://doi.org/10.1016/j.enbuild.2022.112653.
   Google Scholar
• Ren, Weibo, Jingqian Wen, Yan Yan, Yaoguang Hu, Yu Guan, and Jinliang Li. 2021. “Multi-Objective Optimisation for Energy-Aware Flexible Job-Shop Scheduling Problem with Assembly Operations.” International Journal of Production Research 59 (23): 7216–7231. https://doi.org/10.1080/00207543.2020.1836421.
   Web of Science ®Google Scholar
• Ries, Jörg M., Eric H. Grosse, and Johannes Fichtinger. 2016. “Environmental Impact of Warehousing: A Scenario Analysis for the United States.” International Journal of Production Research 55 (21): 6485–6499. https://doi.org/10.1080/00207543.2016.1211342.
   Web of Science ®Google Scholar
• Robertson, Jennifer L. 2018. “The Nature, Measurement and Nomological Network of Environmentally Specific Transformational Leadership.” Journal of Business Ethics 151 (4): 961–975. https://doi.org/10.1007/s10551-017-3569-4.
   Web of Science ®Google Scholar
• Robertson, Jennifer L., and Julian Barling. 2013. “Greening Organizations Through Leaders’ Influence on Employees’ Pro-Environmental Behaviours.” Journal of Organizational Behaviour 34 (2): 176–194. https://doi.org/10.1002/job.1820.
   Web of Science ®Google Scholar
• Robertson, Jennifer L., and Julian Barling. 2017. “Contrasting the Nature and Effects of Environmentally Specific and General Transformational Leadership.” Leadership & Organization Development Journal 38 (1): 22–41. https://doi.org/10.1108/LODJ-05-2015-0100.
   Web of Science ®Google Scholar
• Sepehri, Amin, and Gregory S. Pavlak. 2023. “Evaluating Optimal Control of Active Insulation and HVAC Systems in Residential Buildings.” Energy and Buildings 281 (2): 112728. https://doi.org/10.1016/j.enbuild.2022.112728.
   Google Scholar
• Sha, Huajing, Peng Xu, Zhiwei Yang, Yongbao Chen, and Jixu Tang. 2019. “Overview of Computational Intelligence for Building Energy System Design.” Renewable and Sustainable Energy Reviews 108 (7): 76–90. https://doi.org/10.1016/j.rser.2019.03.018.
   Google Scholar
• Sharma, Himanshu, Saptarshi Bhattacharya, Soumya Kundu, and Veronica A. Adetola. 2022. “On the Impacts of Occupancy Sensing on Advanced Model Predictive Controls in Commercial Buildings.” Building and Environment 222 (8): 109372. https://doi.org/10.1016/j.buildenv.2022.109372.
   Google Scholar
• Thollander, Patrik, Svetlana Paramonova, Erwin Cornelis, Osamu Kimura, Andrea Trianni, Magnus Karlsson, Enrico Cagno, Inés Morales, and Juan Pablo Jiménez Navarro. 2015. “International Study on Energy End-Use Data among Industrial SMEs (Small and Medium-Sized Enterprises) and Energy End-Use Efficiency Improvement Opportunities.” Journal of Cleaner Production 104:282–296. https://doi.org/10.1016/j.jclepro.2015.04.073.
   Web of Science ®Google Scholar
• Turley, Christina, Margarite Jacoby, Gregory Pavlak, and Gregor Henze. 2020. “Development and Evaluation of Occupancy-Aware HVAC Control for Residential Building Energy Efficiency and Occupant Comfort.” Energies 13 (20): 5396. https://doi.org/10.3390/en13205396.
   Web of Science ®Google Scholar
• Wang, Zequn, and Yuxiang Chen. 2019. “Data-Driven Modelling of Building Thermal Dynamics: Methodology and State of the Art.” Energy and Buildings 203 (11): 109405. https://doi.org/10.1016/j.enbuild.2019.109405.
   Google Scholar
• Wang, Wei, Jiayu Chen, and Tianzhen Hong. 2018. “Occupancy Prediction Through Machine Learning and Data Fusion of Environmental Sensing and Wi-Fi Sensing in Buildings.” Automation in Construction 94 (10): 233–243. https://doi.org/10.1016/j.autcon.2018.07.007.
   Google Scholar
• Wang, Jianxiao, Haiwang Zhong, Ziming Ma, Qing Xia, and Chongqing Kang. 2017. “Review and Prospect of Integrated Demand Response in the Multi-Energy System.” Applied Energy 202 (9): 772–782. https://doi.org/10.1016/j.apenergy.2017.05.150.
   Google Scholar
• Wei, Xiupeng, Andrew Kusiak, Mingyang Li, Fan Tang, and Yaohui Zeng. 2015. “Multi-Objective Optimization of the HVAC (Heating, Ventilation, and Air Conditioning) System Performance.” Energy 83 (4): 294–306. https://doi.org/10.1016/j.energy.2015.02.024.
   Google Scholar
• Yang, Zheng, and Burcin Becerik-Gerber. 2014a. “Modelling Personalized Occupancy Profiles for Representing Long Term Patterns by Using Ambient Context.” Building and Environment 78 (8): 23–35. https://doi.org/10.1016/j.buildenv.2014.04.003.
   Web of Science ®Google Scholar
• Yang, Zheng, and Burcin Becerik-Gerber. 2014b. “The Coupled Effects of Personalized Occupancy Profile Based HVAC Schedules and Room Reassignment on Building Energy Use.” Energy and Buildings 78 (8): 113–122. https://doi.org/10.1016/j.enbuild.2014.04.002.
   Google Scholar
• Yang, Shiyu, Man Pun Wan, Bing Feng Ng, Swapnil Dubey, Gregor P. Henze, Suleman Khalid Rai, and Krishnamoorthy Baskaran. 2019. “Experimental Study of a Model Predictive Control System for Active Chilled Beam (ACB) Air-Conditioning System.” Energy and Buildings 203 (11): 109451. https://doi.org/10.1016/j.enbuild.2019.109451.
   Google Scholar
• Yang, Shiyu, Man Pun Wan, Bing Feng Ng, Tian Zhang, Sushanth Babu, Zhe Zhang, Wanyu Chen, and Swapnil Dubey. 2018. “A State-Space Thermal Model Incorporating Humidity and Thermal Comfort for Model Predictive Control in Buildings.” Energy and Buildings 170 (7): 25–39. https://doi.org/10.1016/j.enbuild.2018.03.082.
   Google Scholar
• Yu, Liang, Zhanbo Xu, Tengfei Zhang, Xiaohong Guan, and Dong Yue. 2022. “Energy-Efficient Personalized Thermal Comfort Control in Office Buildings Based on Multi-Agent Deep Reinforcement Learning.” Building and Environment 223 (9): 109458. https://doi.org/10.1016/j.buildenv.2022.109458.
   Google Scholar
• Zhang, Qiang, Ping Liu, and Jürgen Pannek. 2018. “Combining MPC and Integer Operators for Capacity Adjustment in Job-Shop Systems with RMTs.” International Journal of Production Research 57 (8): 2498–2513. https://doi.org/10.1080/00207543.2018.1521022.
   Web of Science ®Google Scholar