Assessment of the solar energy potential of diverse urban built forms in Nagpur, India

Kaleshwarwar, Akshay; Bahadure, Sarika

doi:10.1016/j.scs.2023.104681

Cited by 15 publications

(7 citation statements)

References 63 publications

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“…The PV yield is computed for the study area, and the effective area for deploying solar PV systems on the building surface is assumed to be 50% [27]. Annual solar potential of 310.149 TWh is estimated for the research region and the monthly distribution of estimated PV energy supply on building surfaces is shown in Figure 14.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, technical calculations are performed to calculate the power generation in the study area [27], for example, the duration of sunshine, changes in the sun's path, slope, aspect, site latitude, longitude, and elevation, as well as time-varying shadowing events and climatic conditions. The developed framework to achieve the research objectives is presented in Table 1.…”

Section: Methods and Study Areamentioning

confidence: 99%

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Geospatial Assessment of Solar Energy Potential: Utilizing MATLAB and UAV-Derived Datasets

Ryali,

Tripathi,

Ninsawat

et al. 2024

Buildings

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Solar energy is playing a crucial role in easing the burden of environmental protection and depletion of conventional energy resources. The use of solar energy in urban settings is essential to meet the growing energy demand and achieve sustainable development goals. This research assesses the solar potential of buildings considering shading events and analyzes the impact of urban built forms (UBFs) on incoming solar potential. The primary data for constructing a virtual 3D city model are derived from a UAV survey, utilizing drone deployment software for flight planning and image acquisition. Geospatial modelling was conducted using the MATLAB Mapping Toolbox to simulate solar irradiation on all the building envelopes in the study area in Jamshedpur, India. The empirical investigation quantified annual solar potential for more than 30,000 buildings in the region by considering time-varying shadowing events based on the sun’s path. The region’s annual solar energy of 310.149 TWh/year is estimated. Integrating UAV-derived datasets with MATLAB introduces a cost-effective and accurate approach, offering to develop 3D city models, assess solar potential, and correlate the impact of urban building forms (UBFs) to incoming solar potential.

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Section: Resultsmentioning

confidence: 99%

Section: Methods and Study Areamentioning

confidence: 99%

Geospatial Assessment of Solar Energy Potential: Utilizing MATLAB and UAV-Derived Datasets

Ryali,

Tripathi,

Ninsawat

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…The results show that adding PV is better for high-rise than mid-rise residential buildings. High density and low building floors reduce solar radiation [20,57,58]. Therefore, interactions between buildings cannot be ignored when assessing the effectiveness of DSM.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous building energy modeling studies focus on the community or city scale rather than individual buildings. Kaleshwarwar et al [20] analyzed the impact of five diverse urban building forms on PV potential. Triolo et al [21] applied the demand response on a university campus, including office, classroom, and laboratory, and found that a 1.1 • C increase in daily temperature set would reduce demand by 13.47%.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Peak Demand Reduction and Energy Saving in a Mixed-Use Community through Urban Building Energy Modeling

Zhao,

Deng,

et al. 2024

Energies

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Energy saving in buildings is essential as buildings’ operational energy use constitutes 30% of global energy consumption. Urban building energy modeling (UBEM) effectively understands urban energy consumption. This paper applied UBEM to assess the potential of peak demand reduction and energy saving in a mixed-use community, using 955 residential buildings, 35 office buildings and 7 hotels in Shenzhen, China, as a case study. The building type and period were collected based on the GIS dataset. Then, the baseline models were generated by the UBEM tool—AutoBPS. Five scenarios were analyzed: retrofit-window, retrofit-air conditioner (AC), retrofit-lighting, rooftop photovoltaic (PV), and demand response. The five scenarios replaced the windows, enhanced the AC, upgraded the lighting, covered 60% of the roof area with PV, and had a temperature reset from 17:00 to 23:00, respectively. The results show that using retrofit-windows is the most effective scenario for reducing peak demand at 19.09%, and PV reduces energy use intensity (EUI) best at 29.96%. Demand response is recommended when further investment is not desired. Retrofit-lighting is suggested for its low-cost, low-risk investment, with the payback period (PBP) not exceeding 4.54 years. When the investment is abundant, retrofit-windows are recommended for public buildings, while PV is recommended for residential buildings. The research might provide practical insights into energy policy formulation.

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“…The study of solar resource potential from the perspective of urban form has become a pressing issue in this field. Akshay Kaleshwarwar et al [29] evaluated the solar potential under five different urban building forms (UBFs) in Nagpur, India, from the perspective of urban form. They found that site coverage, roof area, and building density were the key indicators that determined the urban building form.…”

Section: Study Of Solar Energy Utilization In Urban Settlementsmentioning

confidence: 99%

Energy Utilization and Carbon Reduction Potential of Solar Energy in Residential Blocks: A Case Study on a Tropical High-Density City in China

Li,

Wang

et al. 2023

Sustainability

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Energy efficiency in high-density urban areas is increasingly gaining more attention as the energy crisis and environmental issues worsen. Urban morphology is an essential factor affecting the energy consumption and solar energy development potential of buildings. In response to the research gap of previous studies that only analyzed building energy consumption or solar energy potential from a single objective, this paper aims to combine the two objectives of block-scale building energy consumption and solar development potential to explore the joint influence of urban residential morphological elements on correlations between the two. By investigating and summarizing 100 sample cases of Wuhan city blocks, 30 urban residential block prototypes were constructed. The correlations between the leading morphological indicators of the blocks with the building energy consumption and solar energy potential of the residential prototypes were quantified, respectively. The study results show that at certain floor area ratios, the highest solar power generation can be achieved with a mixture of high-rise slabs and high-rise towers, but the building energy intensity level is relatively high; combining building energy consumption and solar power generation, the residential block form of high-rise towers and low-rise villas has incredible energy-saving potential. In addition, the regression analysis results show that three block form indicators, namely the roof-to-envelope area ratio, compacity, and site coverage, have the most prominent influence on building energy intensity and solar power generation, and they all show positive correlations. This study can provide suggestions for urban residential planners and managers to promote urban energy conservation at the design stage.

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Assessment of the solar energy potential of diverse urban built forms in Nagpur, India

Cited by 15 publications

References 63 publications

Geospatial Assessment of Solar Energy Potential: Utilizing MATLAB and UAV-Derived Datasets

Geospatial Assessment of Solar Energy Potential: Utilizing MATLAB and UAV-Derived Datasets

Analysis of Peak Demand Reduction and Energy Saving in a Mixed-Use Community through Urban Building Energy Modeling

Energy Utilization and Carbon Reduction Potential of Solar Energy in Residential Blocks: A Case Study on a Tropical High-Density City in China

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