Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Sushil Chandra, Fariha Fatima, Ali Niazi, Sahab Deen
DOI Link: https://doi.org/10.22214/ijraset.2026.80506
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Rapid urbanization in Indian cities has intensified Urban Heat Island (UHI) effects, increased surface temperatures and placing additional stress on urban energy systems. While rooftop solar photovoltaic (PV) installations are primarily deployed for renewable energy generation, they also influence urban thermal behavior by modifying radiative exchange processes, surface albedo, and roof shading. Focusing on Lucknow, a rapidly expanding city in northern India, this study investigates the interplay between rooftop solar deployment and the urban thermal environment within dense built-up areas using satellite-derived Land Surface Temperature (LST) data. Multi-temporal Landsat imagery for 2019 and 2023 was processed in a GIS framework to analyze spatial patterns of LST, ?LST, and the distribution of urban heat and cool zones. Results indicate a reduction in peak surface temperature from 39.7 °C in 2019 to 34.6 °C in 2023, with pronounced cooling observed in environmentally buffered zones such as the Gomti River corridor, Kukrail Reserve, and Cantonment area. During the same period, solar-covered rooftop area expanded by approximately 131%, increasing from 170,472.20 m² to 393,974.23 m². Spatial correlation analysis shows that wards with higher rooftop solar density tend to exhibit comparatively lower LST values, suggesting localized thermal moderation associated with PV installations through shading and reduced heat absorption. In addition to thermal implications, the growth in solar generation from 58.24 GWh to 132.75 GWh annually corresponds to an estimated avoidance of about 93,487 tCO? yr?¹, equivalent to roughly 93,000 carbon credits under India’s Carbon Credit Trading Scheme. The findings highlight rooftop solar photovoltaics as a dual-benefit strategy contributing to both urban heat mitigation and low-carbon energy transition. This study provides empirical evidence for integrating distributed solar infrastructure into climate-sensitive urban planning, offering actionable insights for developing thermally resilient and sustainable cities in rapidly urbanizing regions.
This study examines how rapid urbanization in Indian cities, particularly Lucknow, has intensified the Urban Heat Island (UHI) effect and how rooftop solar photovoltaic (PV) systems influence urban temperatures. While solar panels are mainly used for energy production, they also affect surface temperature by changing heat absorption, shading rooftops, and altering surface reflectivity.
Using Landsat satellite data from 2019 and 2023, the study analyzes changes in Land Surface Temperature (LST) across urban areas. Results show a significant decrease in peak surface temperature from 39.7°C to 34.6°C, with stronger cooling in greener or environmentally protected zones like the Gomti River corridor, Kukrail Reserve, and Cantonment area.
During the same period, rooftop solar coverage increased by about 131%, from 170,472 m² to 393,974 m². Areas with higher solar panel density generally showed lower surface temperatures, indicating that rooftop solar installations contribute to localized cooling through shading and reduced heat absorption.
Additionally, solar energy generation increased from 58.24 GWh to 132.75 GWh, leading to an estimated reduction of about 93,487 tons of CO? per year, equivalent to roughly 93,000 carbon credits under India’s carbon trading system.
This study used satellite-derived thermal datasets (Landsat 8 OLI/TIRS) and geospatial analysis in ArcGIS 10.8 to thoroughly assess the association between LST and rooftop solar photovoltaic (RSPV) adoption in Lucknow city from 2019 to 2023. There was an apparent decline in surface temperature throughout the urban fabric, with the maximum LST falling from 39.7°C in 2019 to 34.6°C in 2023, suggesting a slow but discernible urban cooling trend. The analysis of rooftop solar expansion shows that the total solar panel area rose by more than 131%, from 170,472.20 m² in 2019 to 393,974.23 m² in 2023. This translates to an increase from around 102,917 panels to approximately 218,882 panels, assuming an average solar module size of 1.8 m² per panel as reported by the International Energy Agency (International Energy Agency, 2021a) and the National Renewable Energy Laboratory (National Renewable Energy Laboratory, 2022). This growth decodes into an increase in clean energy output from 58.24 GWh to132.75 GWh annually, mitigating about 93,487 tonnes of CO2 emissions annually, or 93,000 carbon credits under the Government of India\'s Carbon Credit Trading Scheme (Government of India, 2023) . The dual environmental role of photovoltaic (PV) systems is demonstrated by the regional association between lower LST values and rooftop solar density: thermal mitigation by lowering rooftop heat absorption and providing shade; and decrease of carbon emissions by replacing grid power derived from fossil fuels. Lucknow city 39potential to reduce carbon emissions increased in tandem with the growth in solar energy output. The carbon offset increased from 41,635 tCO?/year in 2019 to 93,487 tCO?/year in 2023 based on the Central Electricity Authority\'s (Central Electricity Authority, 2023)emission factor of 0.708 tCO?/MWh. This is equivalent to 93,487 carbon credits that may be monetized under India\'s Carbon Credit Trading Scheme (CCTS, 2023). These numbers highlight rooftop solar expansion\'s combined environmental advantages of reduced grid dependency while decreasing localized heat accumulation. PV systems boost microclimatic cooling through energy conversion, shading, and decreased heat storage on built-up surfaces, as established by spatial overlay analysis, which showed that locations with higher rooftop solar density showed comparatively lower mean LST values. On the other hand, thermally persistent areas like Balaganj, Faizullaganj, and Charbagh still have high surface temperatures, which highlights the need to expand the use of solar panels, reflective roofs, and green spaces in busy commercial regions. According to the ?LST map, Lucknow\'s cooling impacts are spatially diverse, with the southern and southwest regions of the city seeing the strongest cooling. Wards in the vicinity of Alambagh, Charbagh periphery zones, Sarojini Nagar, Raja Bijli Pasi, and residential areas near the airport show moderate to high cooling, with ?LST values between ?3.54 °C and ?2.54 °C, and in isolated pockets reaching ? ?4.5 °C (very strong cooling). Clustered rooftop solar arrays and relatively lower building densities, which improve shading and decrease surface heat storage, are characteristics of these places. Overall, the research suggests convincing evidence that rooftop solar adoption serves as an approach for both adaptation and mitigation of climate change, concurrently reducing urban heat and offsetting carbon emissions. Sustainable Development Goals SDG 9 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action) are all in line with these research results. Lucknow serves as an example for mid-sized Indian city that want to move toward carbon-neutral, thermally resilient urban systems by encouraging targeted renewable energy. In order promote data-driven urban planning, climate-sensitive design, and low-carbon growth paths for the future, the approach that was created for Lucknow can be used to other Indian metropolitan areas
[1] Central Electricity Authority. (2023). CO? Baseline Database for the Indian Power Sector (Version 18). [2] Chow, W. (2012). Urban Heat Island Research in Phoenix, Arizona: Theoretical Contributions and Policy Applications. Bulletin of the American Meteorological Society. [3] CPCB. (2023). National Air Quality Status & Trends Report 2023. Central Pollution Control Board, Government of India. [4] Dutta, V. (2012). Land Use Dynamics and Peri-urban Growth Characteristics: Reflections on Master Plan and Urban Suitability from a Sprawling North Indian City. Environment and Urbanization Asia, 3, 277–301. 10.1177/0975425312473226 [5] Esri. (2021). ArcGIS Desktop: Release 10.8 [6] Estoque, R. C. and M. Y. and M. S. W. (2017). Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of the Total Environment, 577, 349–359. [7] G. Darrel Jenerette, S. L. H. W. L. S. C. A. M. (n.d.). Ecosystem services and urban heat riskscape moderation: water, green spaces, and social inequality in Phoenix, USA. Ecological Applications. [8] Government of India. (2022). India’s Third Biennial Update Report to the United Nations Framework Convention on Climate Change (UNFCCC). [9] Government of India. (2023). Carbon Credit Trading Scheme, 2023. https://beeindia.gov.in [10] Gupta, R. and P. A. (2020). Urban expansion and vegetation loss in Lucknow city: A remote sensing-based assessment. Environmental Monitoring and Assessment, 192, 1–15. [11] Gupta, U. (2025). India installed 17.4 GW utility-scale solar, 5.15 GW rooftop PV capacity in FY 2025: JMK Research. PV Magazine India. https://www.pv-magazine-india.com/2025/07/08/india-installed-17-4-gw-utility-scale-solar-5-15-gw-rooftop-pv-capacity-in-fy-2025-jmk-research [12] Huang, Y. , L. Y. , & Z. X. (2021). Impacts of rooftop solar photovoltaic installations on urban surface temperature: A remote sensing assessment. Renewable Energy, 1226–1237. [13] India Meteorological Department. (2023). Climatological Normals of Lucknow (1981--2010). [14] Intergovernmental Panel on Climate Change (IPCC). (2021). Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://www.ipcc.ch/report/ar6/wg1/ [15] Intergovernmental Panel on Climate Change (IPCC). (2022). Climate Change 2022: Mitigation of Climate Change [16] Intergovernmental Panel on Climate Change. (n.d.). 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 2: Energy . [17] International Energy Agency, I. (2023). World Energy Outlook 2023. www.iea.org/terms [18] International Energy Agency. (2021a). Average Solar Photovoltaic Module Sizes and Efficiency Trends. [19] International Energy Agency. (2021b). Solar PV Technology and Market Update. [20] International Energy Agency. (n.d.). Renewables 2021: Analysis and forecast to 2026. [21] Jenks, G. F. (1967). The data model concept in statistical mapping. International Yearbook of Cartography, 7, 186–190. [22] Jiménez-Muñoz, J. C. , S. J. A. , S. D. , M. C. , & C. J. (2014). Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data. IEEE Geoscience and Remote Sensing Letters, 11. [23] Khan, A., Anand, P., Garshasbi, S., Khatun, R., Khorat, S., Hamdi, R., Niyogi, D., & Santamouris, M. (2024). Rooftop photovoltaic solar panels warm up and cool down cities. Nature Cities, 1(11), 780–790. https://doi.org/10.1038/s44284-024-00137-2 [24] Khan, S. and A. R. and P. P. (2024). Urban Expansion and Spatial Growth Patterns in Lucknow, India (1991--2021). Sustainability, 17, 227. https://doi.org/10.3390/su17010227 [25] Kikon, N. and S. P. and S. S. K. and V. A. (2016). Cooling effects of urban parks on land surface temperature in urban environments. Urban Forestry & Urban Greening, 20(2016), 220–229. [26] Li, X. and Z. Y. and A. G. R. and I. M. and L. S. (2013). Urban heat island and land surface temperature relationships with land use and land cover changes. Remote Sensing of Environment, 128, 1–10. [27] Lucknow Development Authority. (2023). Lucknow Master Plan 2031. [28] Lucknow Municipal Corporation. (2023). City Profile and Administrative Boundaries of Lucknow. [29] Ministry of New and Renewable Energy. (2022). Grid Emission Factor for the Indian Power Sector. [30] Ministry of New and Renewable Energy. (2023). Annual Report 2022--23: Accelerating India’s renewable energy transition. [31] National Renewable Energy Laboratory. (2022). Solar Photovoltaic Technology Basics. [32] Office of the Registrar General and Census Commissioner, I. (n.d.). District Census Handbook: Lucknow, Uttar Pradesh. [33] Pandey, P. and K. D. and R. A. (2021). Monitoring land use--land cover change and its impact on land surface temperature in Lucknow city using geospatial techniques. Arabian Journal of Geosciences, 14, 1964. [34] Peng, J. W. Y. L. Y. W. J. L. S. (2022). Cooling potential of rooftop photovoltaic systems in urban environments: Implications for urban heat mitigation. Applied Energy, 306. [35] Rashid, N. (2022). Impact of land use change and urbanization on urban heat island intensity. Environmental Challenges, 8, 100571. [36] Renewable Energy Agency, I. (2022). RENEWABLE ENERGY STATISTICS 2022 STATISTIQUES D’ÉNERGIE RENOUVELABLE 2022 ESTADÍSTICAS DE ENERGÍA RENOVABLE 2022 About IRENA. www.irena.org [37] Renewable Energy Policy Network for the 21st Century. (2023). Renewables 2023: Global Status Report (GSR 2023). [38] Santamouris, M. (2014). Cooling the cities ? A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments. Solar Energy. [39] Sarif, M. O., & Gupta, R. D. (2019). Land Surface Temperature Profiling and its Relationships with Land Indices: A Case Study on Lucknow City. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(5/W2), 89–96. https://doi.org/10.5194/isprs-annals-IV-5-W2-89-2019 [40] Sharma, D. and S. R. and A. A. (n.d.). Assessing urban heat island intensity and land surface temperature variations in Lucknow using multi-temporal Landsat data. Sustainable Cities and Society, 76. [41] Singh, P. , & G. A. (2021). Urbanization patterns and environmental impacts in the Lucknow metropolitan region. Journal of Urban Management, 10(2), 145–155 [42] Singh, P. and K. P. (2021). Urban growth and land use land cover change analysis of Lucknow city using remote sensing and GIS. Journal of Urban Management, 10, 243–257. [43] Singh, P. and S. S. (n.d.). Evaluating urban expansion and land surface temperature dynamics using geospatial techniques: A case study of Lucknow city, India. Environmental Monitoring and Assessment, 195, 543. [44] Sobrino, J. A.?; J.-M. J. C.?; P. L. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90, 434–440. [45] U.S. Environmental Protection Agency. (2008). Reducing Urban Heat Islands: Compendium of Strategies - Green roofs. https://www.epa.gov/heat-islands/heat-island-compendium. [46] U.S. Geological Survey. (2021). Landsat 8 (L8) Data Users Handbook. [47] Uma Singh, & Sarika Shukla. (2023). Spatio-Temporal Analysis of Urban Heat Island Using Remote Sensing and GIS in Lucknow City, Lucknow District, U.P. (2002-2020). World Wide Journal of Multidisciplinary Research and Development. [48] United Nations Framework Convention on Climate Change. (2023). The Clean Development Mechanism and Carbon Credit Framework. [49] Uttar Pradesh Electricity Regulatory Commission. (2023). Annual Performance Review of Power Utilities in Uttar Pradesh. https://www.uperc.org/ [50] Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370–384. https://doi.org/10.1016/S0034-4257(03)00079-8 [51] Weng, Q. (2009). Thermal infrared remote sensing: Sensors, methods, applications. In Q. and Q. D. A. Weng (Ed.), Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications (pp. 162–188). CRC Press. [52] Weng, Q. and L. D. and S. J. (2004). Estimation of land surface temperature--vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89, 467–483. [53] Zawadzka, J. and H. D. and W. M. (2021). Linking urban green infrastructure to land surface temperature—A systematic review. Landscape and Urban Planning, 214 [54] Zhang, Y. , M. A. T. , & T. B. L. (2021). The luxury effect in urban heat: Spatial and temporal patterns of land surface temperature in relation to socioeconomic factors. Science of the Total Environment. [55] Zhou, D. and Z. S. and Z. L. and L. S. and S. G. (2019). The footprint of urban heat island effect in China. Scientific Reports, 9, 2147. https://doi.org/10.1016/j.rse.2012.12.018
Copyright © 2026 Sushil Chandra, Fariha Fatima, Ali Niazi, Sahab Deen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET80506
Publish Date : 2026-04-18
ISSN : 2321-9653
Publisher Name : IJRASET
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