An Efficient Strategy to Improve Office Buildings’ Energy Efficiency and Occupant Comfort: Using PVSD for On-Site Electricity Generation
Publication: ASCE Inspire 2023
ABSTRACT
Building integrated photovoltaics (BIPVs) have become popular in recent years. Their availability and economic benefits to reduce the buildings’ net energy demand are studied in the literature. Photovoltaic integrated shading devices (PVSD) are one of the major components among BIPVs. However, only a limited number of studies investigated them for office buildings in humid subtropical climates. Therefore, this paper presents an investigation into the optimization of PVSD for an office building in Atlanta, GA. Shading depth, number of slats, shading angle, and PV ratio design variables are used to find their optimum combination to reduce building energy consumption, improve occupant comfort, and increase electrical energy generation. Ladybug tools are used for energy and daylight simulation, and the NSGA-II algorithm together with the Pareto frontier is applied for multi-objective optimization and to determine the optimum models. The results benefit architects, engineers, and decision-makers in support of cost-effective decarbonization strategies for existing/new buildings.
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REFERENCES
DOE, U. S. D. o. E. Commercial Reference Buildings [Online]. [Accessed 2023].https://www.energy.gov/eere/buildings/commercial-reference-buildings.
Akbari Paydar, M. 2020. Optimum design of building integrated PV module as a movable shading device. Sustainable Cities and Society, 62, 102368.https://doi.org/10.1016/j.scs.2020.102368.
Al-Saadi, S. N., and Al-Jabri, K. S. 2020. Optimization of envelope design for housing in hot climates using a genetic algorithm (GA) computational approach. Journal of Building Engineering, 32, 101712.https://doi.org/10.1016/j.jobe.2020.101712.
Allouhi, A., El Fouih, Y., Kousksou, T., Jamil, A., Zeraouli, Y., and Mourad, Y. 2015. Energy consumption and efficiency in buildings: current status and future trends. Journal of Cleaner Production, 109, 118–130.https://doi.org/10.1016/j.jclepro.2015.05.139.
Asfour, O. S. 2018. Solar and Shading Potential of Different Configurations of Building Integrated Photovoltaics Used as Shading Devices Considering Hot Climatic Conditions. Sustainability [Online], 10.10.3390/su10124373.
Bahdad, A. A. S., Fadzil, S. F. S., and Taib, N. 2020. Optimization of Daylight Performance Based on Controllable Light-shelf Parameters using Genetic Algorithms in the Tropical Climate of Malaysia. Journal of Daylighting, 7, 14.https://doi.org/10.15627/jd.2020.10.
Berardi, U., and Anaraki, H. K. 2015. Analysis of the Impacts of Light Shelves on the Useful Daylight Illuminance in Office Buildings in Toronto. Energy Procedia, 78, 6.https://doi.org/10.1016/j.egypro.2015.11.310.
Das, S. K., Verma, D., Nema, S., and Nema, R. K. 2017. Shading mitigation techniques: State-of-the-art in photovoltaic applications. Renewable and Sustainable Energy Reviews, 78, 369–390.https://doi.org/10.1016/j.rser.2017.04.093.
De Luca, F., Sepúlveda, A., and Varjas, T. 2022. Multi-performance optimization of static shading devices for glare, daylight, view and energy consideration. Building and Environment, 217, 109110.https://doi.org/10.1016/j.buildenv.2022.109110.
Hofer, J., Groenewolt, A., Jayathissa, P., Nagy, Z., and Schlueter, A. 2016. Parametric analysis and systems design of dynamic photovoltaic shading modules. Energy Science & Engineering, 4, 134–152.https://doi.org/10.1002/ese3.115.
Ishac, M., and Nadim, W. 2021. Standardization of optimization methodology of daylighting and shading strategy: a case study of an architectural design studio – the German University in Cairo, Egypt. Building Performance Simulation, 14, 25.https://doi.org/10.1080/19401493.2020.1846618.
Khidmat, R. P., Fukuda, H., Paramita, B., Qingsong, M., and Hariyadi, A. 2022. Investigation into the daylight performance of expanded-metal shading through parametric design and multi-objective optimisation in Japan. Journal of Building Engineering, 51, 104241.https://doi.org/10.1016/j.jobe.2022.104241.
Krarti, M. 2022. A Comparative Energy Analysis of Dynamic External Shadings for Office Buildings. ASME Journal of Engineering for Sustainable Buildings and Cities, 3.https://doi.org/10.1115/1.4054775.
Mennatallah, M. F., Mohamed, M., Hamdy, A. K., Lamia, A. S., and Elsayed, I. M. 2019. Simulation of a zero energy office building in Egypt with a photovoltaic integrated shading system. Journal of Photonics for Energy, 9, 043103.https://doi.org/10.1117/1.JPE.9.043103.
Mesloub, A., Ghosh, A., Touahmia, M., Albaqawy, G. A., Noaime, E., and Alsolami, B. M. 2020. Performance Analysis of Photovoltaic Integrated Shading Devices (PVSDs) and Semi-Transparent Photovoltaic (STPV) Devices Retrofitted to a Prototype Office Building in a Hot Desert Climate. Sustainability [Online], 12.https://doi.org/10.3390/su122310145.
Najian, M., and Goudarzi, N. 2023. Evaluating critical weather parameters using machine learning models, ASME Power Conference 2023, August 06-09, Long Beach, CA. 2023.
Nazari, S., Keshavarz Mirza Mohammadi, P., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Doan, D. T., and Almhafdy, A. 2023a. Comparison of shading design between the northern and southern hemispheres: using the NSGA-II algorithm to reduce building energy consumption and improve occupants’ comfort. Smart and Sustainable Built Environment, ahead-of-print.https://doi.org/10.1108/SASBE-11-2022-0248.
Nazari, S., Keshavarz Mirza Mohammadi, P., and Sareh, P. 2023b. A multi-objective optimization approach to designing window and shading systems considering building energy consumption and occupant comfort. Engineering Reports, n/a, e12726.https://doi.org/10.1002/eng2.12726.
Nazari, S., Sajadi, B., and Sheikhansari, I. 2022. Optimization of Commercial Buildings Envelope to Reduce Energy Consumption and Improve Indoor Environmental Quality (IEQ) Using NSGA-II Algorithm. International Journal of Ambient Energy, 1–28.https://doi.org/10.1080/01430750.2022.2157482.
Noorzai, E., Bakmohammadi, P., and Garmaroudi, M. A. 2022. Optimizing daylight, energy and occupant comfort performance of classrooms with photovoltaic integrated vertical shading devices. Architectural Engineering and Design Management, 1–25.https://doi.org/10.1080/17452007.2022.2080173.
Noshin, S., Kanwal, H., and Ahmad, A. 2020. A Comparative Study on Daylight Performance Assessment of Light Shelves Based on Inclination. Mehran University Research Journal of Engineering and Technology, 39, 5.https://doi.org/10.22581/muet1982.2004.12.
Pilechiha, P., Mahdavinejad, M., Rahimian, F. P., Carnemolla, P., and Seyedzadeh, S. 2020. Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency. Applied Energy, 261.https://doi.org/10.1016/j.apenergy.2019.114356.
Rana, M. J., Hasan, M. R., and Sobuz, M. H. R. 2022. An investigation on the impact of shading devices on energy consumption of commercial buildings in the contexts of subtropical climate. Smart and Sustainable Built Environment, 11, 661–691.https://doi.org/10.1108/SASBE-09-2020-0131.
Settino, J., Carpino, C., Perrella, S., and Arcuri, N. 2020. Multi-Objective Analysis of a Fixed Solar Shading System in Different Climatic Areas. Energies [Online], 13.https://doi.org/10.3390/en13123249.
Shukla, A. K., Sudhakar, K., Baredar, P., and Mamat, R. 2018. Solar PV and BIPV system: Barrier, challenges and policy recommendation in India. Renewable and Sustainable Energy Reviews, 82, 3314–3322.https://doi.org/10.1016/j.rser.2017.10.013.
Taveres-Cachat, E., Lobaccaro, G., Goia, F., and Chaudhary, G. 2019. A methodology to improve the performance of PV integrated shading devices using multi-objective optimization. Applied Energy, 247, 731–744.https://doi.org/10.1016/j.apenergy.2019.04.033.
Valitabar, M., GhaffarianHoseini, A., GhaffarianHoseini, A., and Attia, S. 2022. Advanced control strategy to maximize view and control discomforting glare: a complex adaptive façade. Architectural Engineering and Design Management, 18, 829–849.https://doi.org/10.1080/17452007.2022.2032576.
Zhang, W., Lu, L., and Peng, J. 2017. Evaluation of potential benefits of solar photovoltaic shadings in Hong Kong. Energy, 137, 1152–1158.https://doi.org/10.1016/j.energy.2017.04.166.
Zhang, X., Lau, S.-K., Lau, S. S. Y., and Zhao, Y. 2018. Photovoltaic integrated shading devices (PVSDs): A review. Solar Energy, 170, 947–968.https://doi.org/10.1016/j.solener.2018.05.067.
Zhao, J., and Du, Y. 2020. Multi-objective optimization design for windows and shading configuration considering energy consumption and thermal comfort: A case study for office building in different climatic regions of China. Solar Energy, 206, 20.https://doi.org/10.1016/j.solener.2020.05.090.
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Published online: Nov 14, 2023
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