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The morphology of urban areas plays a crucial role in determining solar potential, which directly affects photovoltaic capacity and the achievement of net-zero outcomes. This study focuses on the City of Melbourne to investigate the utilization of solar energy across different urban densities and proposes optimized morphologies. The analysis encompasses blocks with diverse population densities, examining medium and high-density areas. By utilizing a multi-objective genetic optimization approach, the urban morphology of these blocks is refined. The findings indicate that low-density blocks exhibit photovoltaic potential ranging from 1 to 6.6 times their total energy consumption. Medium and high-density blocks achieve photovoltaic potential levels approximately equivalent to 40%–85% of their overall energy consumption. Moreover, significant variations in photovoltaic potential are observed among different urban forms within medium and high-density blocks. An “elevated corners with central valley” prototype is proposed as an effective approach, enhancing the overall photovoltaic potential by approximately 14%. This study introduces novel analytical concepts, shedding light on the intricate relationship between urban morphologies and photovoltaic potential.
Adye K, Pearre N, Swan L (2018). Contrasting distributed and centralized photovoltaic system performance using regionally distributed pyranometers. Solar Energy, 160: 1–9.
Armendariz-Lopez JF, Luna-Leon A, Gonzalez-Trevizo ME, et al. (2016). Life cycle cost of photovoltaic technologies in commercial buildings in Baja California, Mexico. Renewable Energy, 87: 564–571.
Chen Q, Li X, Zhang Z, et al. (2023a). Remote sensing of photovoltaic scenarios: techniques, applications and future directions. Applied Energy, 333: 120579.
Chen TK, Horsdal HT, Samuelsson K, et al. (2023b). Higher depression risks in medium- than in high-density urban form across Denmark. Science Advances, 9: eadf3760.
Chwieduk D, Bujalski W, Chwieduk B (2020). Possibilities of transition from centralized energy systems to distributed energy sources in large Polish cities. Energies, 13: 6007.
Cole RJ, Fedoruk L (2015). Shifting from net-zero to net-positive energy buildings. Building Research & Information, 43: 111–120.
Fazal MA, Rubaiee S (2023). Progress of PV cell technology: Feasibility of building materials, cost, performance, and stability. Solar Energy, 258: 203–219.
Gervais E, Herceg S, Nold S, et al. (2021). Sustainability strategies for PV: Framework, status and needs. EPJ Photovoltaics, 12: 5.
Huang P, Cheng M, Chen Y, et al. (2017). Solar potential analysis method using terrestrial laser scanning point clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10: 1221–1233.
Huang Z, Mendis T, Xu S (2019). Urban solar utilization potential mapping via deep learning technology: a case study of Wuhan, China. Applied Energy, 250: 283–291.
Huang J, Stoter J, Peters R, et al. (2022). City3D: large-scale building reconstruction from airborne LiDAR point clouds. Remote Sensing, 14: 2254.
Lan H, Gou Z, Hou C (2022). Understanding the relationship between urban morphology and solar potential in mixed-use neighborhoods using machine learning algorithms. Sustainable Cities and Society, 87: 104225.
Liu C, Xu W, Li A, et al. (2019). Energy balance evaluation and optimization of photovoltaic systems for zero energy residential buildings in different climate zones of China. Journal of Cleaner Production, 235: 1202–1215.
Liu K, Xu X, Huang W, et al. (2023). A multi-objective optimization framework for designing urban block forms considering daylight, energy consumption, and photovoltaic energy potential. Building and Environment, 242: 110585.
Lu Y, Wang S, Zhao Y, et al. (2015). Renewable energy system optimization of low/zero energy buildings using single-objective and multi-objective optimization methods. Energy and Buildings, 89: 61–75.
Martins TAL, Adolphe L, Bastos LEG (2014). From solar constraints to urban design opportunities: Optimization of built form typologies in a Brazilian tropical city. Energy and Buildings, 76: 43–56.
Niu J, Qin W, Wang L, et al. (2023). Climate change impact on photovoltaic power potential in China based on CMIP6 models. Science of the Total Environment, 858: 159776.
Panagiotidou M, Brito MC, Hamza K, et al. (2021). Prospects of photovoltaic rooftops, walls and windows at a city to building scale. Solar Energy, 230: 675–687.
Perez MJ, Perez R, Hoff TE (2021). Ultra-high photovoltaic penetration: Where to deploy. Solar Energy, 224: 1079–1098.
Sánchez-Aparicio M, Del Pozo S, Martín-Jiménez JA, et al. (2020). Influence of LiDAR point cloud density in the geometric characterization of rooftops for solar photovoltaic studies in cities. Remote Sensing, 12: 3726.
Sarralde JJ, Quinn DJ, Wiesmann D, et al. (2015). Solar energy and urban morphology: Scenarios for increasing the renewable energy potential of neighbourhoods in London. Renewable Energy, 73: 10–17.
Sartori I, Napolitano A, Voss K (2012). Net zero energy buildings: A consistent definition framework. Energy and Buildings, 48: 220–232.
Sun T, Shan M, Rong X, et al. (2022). Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images. Applied Energy, 315: 119025.
Taminiau J, Byrne J, Kim J, et al. (2022). Inferential- and measurement-based methods to estimate rooftop “solar city” potential in megacity Seoul, South Korea. WIREs Energy and Environment, 11(5), e438.
Tian J, Xu S (2021). A morphology-based evaluation on block-scale solar potential for residential area in central China. Solar Energy, 221: 332–347.
Tsalikis G, Martinopoulos G (2015). Solar energy systems potential for nearly net zero energy residential buildings. Solar Energy, 115: 743–756.
Yang T, Zhang X (2016). Benchmarking the building energy consumption and solar energy trade-offs of residential neighborhoods on Chongming Eco-Island, China. Applied Energy, 180: 792–799.
Yuan J, Yuan W, Yuan J, et al. (2023). Policy recommendations for distributed solar PV aiming for a carbon-neutral future. Sustainability, 15: 3005.
Zhang X, Feng S, Zhang H, et al. (2020). Developing distributed PV in Beijing: Deployment potential and economics. Frontiers in Energy Research, 7: 155.
Zhou X, Huang Z, Scheuer B, et al. (2023). High-resolution spatial assessment of the zero energy potential of buildings with photovoltaic systems at the city level. Sustainable Cities and Society, 93: 104526.
Zhu R, Wong MS, You L, et al. (2020). The effect of urban morphology on the solar capacity of three-dimensional cities. Renewable Energy, 153: 1111–1126.