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Research Article

Design of a model predictive control methodology for integration of retrofitted air‐based PV/T system in school buildings

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Received 12 Jan 2024, Accepted 27 May 2024, Published online: 06 Jun 2024

References

  • Abdelrazik, A., B. Shboul, M. Elwardany, R. Zohny, and A. Osama. 2022. “The Recent Advancements in the Building Integrated Photovoltaic/Thermal (BIPV/T) Systems: An Updated Review.” Renewable and Sustainable Energy Reviews 170: 112988. https://doi.org/10.1016/j.rser.2022.112988.
  • Abtahi, M., A. Athienitis, and B. Delcroix. 2022. “Control-Oriented Thermal Network Models for Predictive Load Management in Canadian Houses with on-Site Solar Electricity Generation: Application to a Research House.” Journal of Building Performance Simulation 15 (4): 536–552. https://doi.org/10.1080/19401493.2021.1998223.
  • Altieri, D., M. K. Patel, J. Lazarus, and G. Branca. 2023. “Numerical Analysis of low-Cost Optimization Measures for Improving Energy Efficiency in Residential Buildings.” Energy 273: 127257. https://doi.org/10.1016/j.energy.2023.127257.
  • Arroyo, J., F. Spiessens, and L. Helsen. 2020. “Identification of Multi-Zone Grey-box Building Models for use in Model Predictive Control.” Journal of Building Performance Simulation 13 (4): 472–486. https://doi.org/10.1080/19401493.2020.1770861.
  • Asaee, S. R., S. Nikoofard, V. I. Ugursal, and I. Beausoleil-Morrison. 2017. “Techno-Economic Assessment of Photovoltaic (PV) and Building Integrated Photovoltaic/Thermal (BIPV/T) System Retrofits in the Canadian Housing Stock.” Energy and Buildings 152: 667–679. https://doi.org/10.1016/j.enbuild.2017.06.071.
  • Aspetakis, G., and Q. Wang. 2023. “Critical Review of Air-Based PVT Technology and Its Integration to Building Energy Systems.” Energy and Built Environment. (in press). https://doi.org/10.1016/j.enbenv.2023.10.001.
  • Athienitis, A. K., E. Dumont, N. Morovat, K. Lavigne, and J. Date. 2020. “Development of a Dynamic Energy Flexibility Index for Buildings and their Interaction with Smart Grids.” Paper presented at the 2020 Summer Study on Energy Efficiency in Buildings, California, USA.
  • Athienitis, A. K., and W. O'Brien. 2015. Modeling, Design, and Optimization of Net-Zero Energy Buildings. Berlin: Ernst & Sohn.
  • Attoye, D. E., T. O. Adekunle, K. A. Tabet Aoul, A. Hassan, and S. O. Attoye. 2018. “A Conceptual Framework for a Building Integrated Photovoltaics (BIPV) Educative-Communication Approach.” Sustainability 10 (10): 3781. https://doi.org/10.3390/su10103781.
  • Bacher, P., and H. Madsen. 2011. “Identifying Suitable Models for the Heat Dynamics of Buildings.” Energy and Buildings 43 (7): 1511–1522. https://doi.org/10.1016/j.enbuild.2011.02.005.
  • Blum, D., J. Arroyo, S. Huang, J. Drgoňa, F. Jorissen, H. T. Walnum, Y. Chen, et al. 2021. “Building Optimization Testing Framework (BOPTEST) for Simulation-Based Benchmarking of Control Strategies in Buildings.” Journal of Building Performance Simulation 14 (5): 586–610. https://doi.org/10.1080/19401493.2021.1986574.
  • Buker, M. S., and S. B. Riffat. 2015. “Building Integrated Solar Thermal Collectors–A Review.” Renewable and Sustainable Energy Reviews 51: 327–346. https://doi.org/10.1016/j.rser.2015.06.009.
  • Candanedo, J. A., V. R. Dehkordi, and P. Lopez. 2013. “A Control-Oriented Simplified Building Modelling Strategy.” Paper presented at the 13th Conf. Intl. Building Perf. Simulation Ass.
  • Candanedo, J. A., C. Vallianos, B. Delcroix, J. Date, A. Saberi Derakhtenjani, N. Morovat, C. John, and A. K. Athienitis. 2022. “Control-oriented Archetypes: A Pathway for the Systematic Application of Advanced Controls in Buildings.” Journal of Building Performance Simulation 15 (4): 433–444. https://doi.org/10.1080/19401493.2022.2063947.
  • Choi, J.-S., G.-C. Kim, M.-S. Oh, and E.-J. Kim. 2023. “Air-Type Photovoltaic Thermal (PVT) System Connected to Heat Recovery Ventilators Installed in Typical Classroom.” Energy and Buildings 298: 113535. https://doi.org/10.1016/j.enbuild.2023.113535.
  • de Araujo Passos, L. A., T. J. Ceha, S. Baldi, and B. De Schutter. 2023a. “Model Predictive Control of a Thermal Chimney and Dynamic Solar Shades for an all-Glass Facades Building.” Energy 264: 126177. https://doi.org/10.1016/j.energy.2022.126177.
  • de Araujo Passos, L. A., P. van den Engel, S. Baldi, and B. De Schutter. 2023b. “Dynamic Optimization for Minimal HVAC Demand with Latent Heat Storage, Heat Recovery, Natural Ventilation, and Solar Shadings.” Energy Conversion and Management 276: 116573. https://doi.org/10.1016/j.enconman.2022.116573.
  • De Coninck, R., F. Magnusson, J. Åkesson, and L. Helsen. 2016. “Toolbox for Development and Validation of Grey-Box Building Models for Forecasting and Control.” Journal of Building Performance Simulation 9 (3): 288–303. https://doi.org/10.1080/19401493.2015.1046933.
  • Delisle, V., and M. Kummert. 2016. “Cost-benefit Analysis of Integrating BIPV-T air Systems into Energy-Efficient Homes.” Solar Energy 136: 385–400. https://doi.org/10.1016/j.solener.2016.07.005.
  • Dermardiros, V., and P. Scott Bucking PhD. 2019. “Energy Performance, Comfort, and Lessons Learned from an Institutional Building Designed for Net Zero Energy.” ASHRAE Transactions 125: 682–695.
  • Drgoňa, J., J. Arroyo, I. C. Figueroa, D. Blum, K. Arendt, D. Kim, E. P. 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.
  • Dumoulin, R., E. D. Rounis, and A. Athienitis. 2021. “Operation and Grid Interaction Modeling of a House with a Building Integrated Photovoltaic Thermal (BIPV/T) System Coupled to an air-Source Heat Pump.” Science and Technology for the Built Environment 27 (9): 1311–1329. https://doi.org/10.1080/23744731.2021.1941247.
  • Farrokhifar, M., H. Bahmani, B. Faridpak, A. Safari, D. Pozo, and M. Aiello. 2021. “Model Predictive Control for Demand Side Management in Buildings: A Survey.” Sustainable Cities and Society 75: 103381. https://doi.org/10.1016/j.scs.2021.103381.
  • Fernández Bandera, C., G. Bastos Porsani, and M. Fernández-Vigil Iglesias. 2023. “A Demand Side Management Approach to Increase Self-Consumption in Buildings.” Paper presented at the Building Simulation.
  • Gao, Y., Y. Matsunami, S. Miyata, and Y. Akashi. 2023. “Model Predictive Control of a Building Renewable Energy System Based on a Long Short-Term Hybrid Model.” Sustainable Cities and Society 89: 104317. https://doi.org/10.1016/j.scs.2022.104317.
  • Gaucher-Loksts, E., A. Athienitis, and M. Ouf. 2022. “Design and Energy Flexibility Analysis for Building Integrated Photovoltaics-Heat Pump Combinations in a House.” Renewable Energy 195: 872–884. https://doi.org/10.1016/j.renene.2022.06.028.
  • Gouda, M., S. Danaher, and C. Underwood. 2002. “Building Thermal Model Reduction Using Nonlinear Constrained Optimization.” Building and Environment 37 (12): 1255–1265. https://doi.org/10.1016/S0360-1323(01)00121-4.
  • Haberl, J. S., D. E. Claridge, and C. Culp. 2005. ASHRAE's Guideline 14-2002 for Measurement of Energy and Demand Savings: How to Determine what was really saved by the retrofit.
  • Hao, K., D. Kim, and J. E. Braun. 2022. “Comparing the Economic Performance of ice Storage and Batteries for Buildings with on-Site PV Through Model Predictive Control and Optimal Sizing.” Journal of Building Performance Simulation 15 (5): 691–715. https://doi.org/10.1080/19401493.2022.2084161.
  • Hydro Québec. 2022. Hydro-Québec—Rates for Business Customers, 2022. http://www.hydroquebec.com/business/customer-space/rates/.
  • Jensen, S. Ø., A. Marszal-Pomianowska, R. Lollini, W. Pasut, A. Knotzer, P. Engelmann, A. Stafford, and G. Reynders. 2017. “IEA EBC Annex 67 Energy Flexible Buildings.” Energy and Buildings 155: 25–34. https://doi.org/10.1016/j.enbuild.2017.08.044.
  • Joe, J., P. Im, B. Cui, and J. Dong. 2023. “Model-based Predictive Control of Multi-Zone Commercial Building with a Lumped Building Modelling Approach.” Energy 263: 125494. https://doi.org/10.1016/j.energy.2022.125494.
  • Kathirgamanathan, A., M. De Rosa, E. Mangina, and D. P. Finn. 2021. “Data-driven Predictive Control for Unlocking Building Energy Flexibility: A Review.” Renewable and Sustainable Energy Reviews 135: 110120. https://doi.org/10.1016/j.rser.2020.110120.
  • Koskela, J., and P. Järventausta. 2023. “Demand Response with Electrical Heating in Detached Houses in Finland and Comparison with BESS for Increasing PV Self-Consumption.” Energies 16 (1): 497. https://doi.org/10.3390/en16010497.
  • Le Dréau, J., and P. Heiselberg. 2016. “Energy Flexibility of Residential Buildings Using Short Term Heat Storage in the Thermal Mass.” Energy 111: 991–1002. https://doi.org/10.1016/j.energy.2016.05.076.
  • Lefebure, N., M. Khosravi, M. H. Badyn, F. Bünning, J. Lygeros, C. Jones, and R. S. Smith. 2022. “Distributed Model Predictive Control of Buildings and Energy Hubs.” Energy and Buildings 259: 111806. https://doi.org/10.1016/j.enbuild.2021.111806.
  • Li, Y., Z. O'Neill, L. Zhang, J. Chen, P. Im, and J. DeGraw. 2021. “Grey-Box Modeling and Application for Building Energy Simulations-A Critical Review.” Renewable and Sustainable Energy Reviews 146: 111174. https://doi.org/10.1016/j.rser.2021.111174.
  • Li, R., A. J. Satchwell, D. Finn, T. H. Christensen, M. Kummert, J. Le Dréau, R. A. Lopes, et al. 2022. “Ten Questions Concerning Energy Flexibility in Buildings.” Building and Environment 223: 109461. https://doi.org/10.1016/j.buildenv.2022.109461.
  • Liu, Z., Y. Chen, X. Yang, and J. Yan. 2023. “Power to Heat: Opportunity of Flexibility Services Provided by Building Energy Systems.” Advances in Applied Energy 11: 100149. https://doi.org/10.1016/j.adapen.2023.100149.
  • Maghrabie, H. M., K. Elsaid, E. T. Sayed, M. A. Abdelkareem, T. Wilberforce, and A. Olabi. 2021. “Building-integrated Photovoltaic/Thermal (BIPVT) Systems: Applications and Challenges.” Sustainable Energy Technologies and Assessments 45: 101151. https://doi.org/10.1016/j.seta.2021.101151.
  • Manojkumar, R., C. Kumar, S. Ganguly, and J. P. Catalão. 2021. “Optimal Peak Shaving Control Using Dynamic Demand and Feed-in Limits for Grid-Connected PV Sources with Batteries.” IEEE Systems Journal 15 (4): 5560–5570. https://doi.org/10.1109/JSYST.2020.3045020.
  • Martyr, R., J. Moriarty, and C. Beck. 2019. “Optimal Control of a Commercial Building's Thermostatic Load for off-Peak Demand Response.” Journal of Building Performance Simulation 12 (5): 580–594. https://doi.org/10.1080/19401493.2018.1535624.
  • Maurer, C., T. Baumann, M. Hermann, P. Di Lauro, S. Pavan, L. Michel, and T. E. Kuhn. 2013. “Heating and Cooling in High-Rise Buildings Using Facade-Integrated Transparent Solar Thermal Collector Systems.” Journal of Building Performance Simulation 6 (6): 449–457. https://doi.org/10.1080/19401493.2013.766263.
  • Mehigan, L., J. P. Deane, BÓ Gallachóir, and V. Bertsch. 2018. “A Review of the Role of Distributed Generation (DG) in Future Electricity Systems.” Energy 163: 822–836. https://doi.org/10.1016/j.energy.2018.08.022.
  • Merei, G., J. Moshövel, D. Magnor, and D. U. Sauer. 2016. “Optimization of Self-Consumption and Techno-Economic Analysis of PV-Battery Systems in Commercial Applications.” Applied Energy 168: 171–178. https://doi.org/10.1016/j.apenergy.2016.01.083.
  • Morovat, N., A. K. Athienitis, J. A. Candanedo, and B. Delcroix. 2022. “Model-based Control Strategies to Enhance Energy Flexibility in Electrically Heated School Buildings.” Buildings 12 (5): 581. https://doi.org/10.3390/buildings12050581.
  • Olivieri, S. J., G. P. Henze, C. D. Corbin, and M. J. Brandemuehl. 2014. “Evaluation of Commercial Building Demand Response Potential Using Optimal Short-Term Curtailment of Heating, Ventilation, and air-Conditioning Loads.” Journal of Building Performance Simulation 7 (2): 100–118. https://doi.org/10.1080/19401493.2013.783118.
  • Oviedo-Cepeda, J. C., F. Z. Amara, and A. K. Athienitis. 2021. Model Predictive Control Horizon Impact Over the Flexibility of a Net Zero Energy Building. Paper presented at the IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society.
  • Reynders, G., J. Diriken, and D. Saelens. 2014. “Quality of Grey-Box Models and Identified Parameters as Function of the Accuracy of Input and Observation Signals.” Energy and Buildings 82: 263–274. https://doi.org/10.1016/j.enbuild.2014.07.025.
  • Rounis, E. D., A. K. Athienitis, and T. Stathopoulos. 2021. “BIPV/T Curtain Wall Systems: Design, Development and Testing.” Journal of Building Engineering 42: 103019. https://doi.org/10.1016/j.jobe.2021.103019.
  • Rounis, E. D., Z. Ioannidis, A.-M. Sigounis, A. Athienitis, and T. Stathopoulos. 2022. “A Novel Approach for the Modelling of Convective Phenomena for Building Integrated Photovoltaic Thermal (BIPV/T) Systems.” Solar Energy 232: 328–343. https://doi.org/10.1016/j.solener.2021.12.058.
  • Sanchez, J., Z. Jiang, and J. Cai. 2022. “Modelling and Mitigating Lifetime Impact of Building Demand Responsive Control of Heating, Ventilation and air-Conditioning Systems.” Journal of Building Performance Simulation 15 (6): 771–787. https://doi.org/10.1080/19401493.2022.2094466.
  • Sari, Y. A., and S. M. Said. 2021. “Review of Building Integrated Photovoltaic-Thermal (BIPV/T) Systems: Current and Potential Technology Development.” Journal of Engineering Science & Technology Review 14 (4): 197–206.
  • Sohani, A., C. Cornaro, M. H. Shahverdian, S. Samiezadeh, S. Hoseinzadeh, A. Dehghani-Sanij, M. Pierro, and D. Moser. 2022. “Using Building Integrated Photovoltaic Thermal (BIPV/T) Systems to Achieve net Zero Goal: Current Trends and Future Perspectives.” In Towards Net Zero Carbon Emissions in the Building Industry, edited by A. Sayigh, 91–107. Cham: Springer International Publishing.
  • Tripanagnostopoulos, Y., M. Souliotis, R. Battisti, and A. Corrado. 2006. “Performance, Cost and Life-Cycle Assessment Study of Hybrid PVT/AIR Solar Systems.” Progress in Photovoltaics: Research and Applications 14 (1): 65–76. https://doi.org/10.1002/pip.634.
  • Villar, C. H., D. Neves, and C. A. Silva. 2017. “Solar PV Self-Consumption: An Analysis of Influencing Indicators in the Portuguese Context.” Energy strategy reviews 18: 224–234. https://doi.org/10.1016/j.esr.2017.10.001.
  • Yang, S., A. Cannavale, D. Prasad, A. Sproul, and F. Fiorito. 2019. “Numerical Simulation Study of BIPV/T Double-Skin Facade for Various Climate Zones in Australia: Effects on Indoor Thermal Comfort.” Paper presented at the Building Simulation.
  • Yang, S., F. Fiorito, D. Prasad, A. Sproul, and A. Cannavale. 2021. “A Sensitivity Analysis of Design Parameters of BIPV/T-DSF in Relation to Building Energy and Thermal Comfort Performances.” Journal of Building Engineering 41: 102426. https://doi.org/10.1016/j.jobe.2021.102426.
  • Yu, H. J. J. 2021. “System Contributions of Residential Battery Systems: New Perspectives on PV Self-Consumption.” Energy Economics 96: 105151. https://doi.org/10.1016/j.eneco.2021.105151.
  • Zhan, S., B. Dong, and A. Chong. 2023. “Improving Energy Flexibility and PV Self-Consumption for a Tropical net Zero Energy Office Building.” Energy and Buildings 278: 112606. https://doi.org/10.1016/j.enbuild.2022.112606.
  • Zhao, G., J. Clarke, J. Searle, R. Lewis, and J. Baker. 2023. “Economic Analysis of Integrating Photovoltaics and Battery Energy Storage System in an Office Building.” Energy and Buildings 284: 112885. https://doi.org/10.1016/j.enbuild.2023.112885.
  • Zhao, O., W. Zhang, L. Xie, W. Wang, M. Chen, Z. Li, J. Li, X. Wu, X. Zeng, and S. Du. 2022. “Investigation of Indoor Environment and Thermal Comfort of Building Installed with Bifacial PV Modules.” Sustainable Cities and Society 76: 103463. https://doi.org/10.1016/j.scs.2021.103463.

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