Assessing the Impact of Renewable Energy Adoption on Urban Air Quality

Thesis Abstract

The increasing urbanization and reliance on fossil fuel energy sources have significantly contributed to deteriorating air quality in metropolitan areas, posing substantial public health and environmental challenges. The transition towards renewable energy sources (RES) presents a potential strategy to mitigate air pollution; however, empirical evidence quantifying the extent of their impact remains limited and context-dependent. This study aims to assess the impact of renewable energy adoption on urban air quality, with specific objectives to evaluate the correlation between RES deployment and key air pollutants, identify temporal trends associated with renewable energy initiatives, and determine the influence of policy incentives on air quality improvements within urban settings. A quantitative research design underpins this study, employing a descriptive-correlational approach to establish relationships between variables. The study population comprises air quality data from 15 major urban centers over a five-year period (2017–2021), totaling approximately 750 data points per city. A stratified random sampling technique is used to select cities based on the level of renewable energy capacity (low, medium, high), ensuring balanced representation across different stages of RES integration. Data collection involves the retrieval of secondary data from government environmental agencies, energy departments, and satellite-based remote sensing sources, focusing on concentrations of PM2.5, PM10, NO2, SO2, and O3 levels. Complementary data on renewable energy capacity, urban population, and policy initiatives are obtained from national energy reports and policy archives. Data analysis employs multiple regression analysis to examine the relationship between the extent of renewable energy adoption (independent variable) and concentrations of air pollutants (dependent variables). Time-series analysis using autoregressive integrated moving average (ARIMA) models assesses the temporal effects of RES implementation on air quality indices. Additionally, thematic analysis of policy documents contextualizes the role of governmental incentives in facilitating RES deployment and consequent air quality outcomes. Validity and reliability of data are ensured through triangulation of sources and pre-validation of datasets. It is anticipated that findings will demonstrate a statistically significant inverse relationship between the growth of renewable energy capacity and levels of targeted air pollutants, with urban centers adopting higher proportions of RES exhibiting notable improvements in air quality metrics. The analysis is expected to reveal that policy measures supporting renewable energy are critical drivers of observed air quality enhancements, and that temporal lag effects may influence the magnitude of improvements over the studied period. These results aim to contribute to the body of empirical evidence supporting renewable energy policies as a means of improving urban air quality, especially in developing urban contexts where pollution levels are critically high. This research advances knowledge by providing a comprehensive, data-driven assessment of RES’s effects on air quality at a city-wide level, filling existing gaps related to temporal dynamics and policy influences. Main implications include informing policymakers, urban planners, and environmental agencies regarding the effectiveness of renewable energy investments in pollution mitigation strategies. The study concludes that strategic promotion of renewable energy, coupled with robust policy frameworks, can substantially improve urban air quality, thereby enhancing public health outcomes. Recommendations emphasize the need for increased RES capacity, stronger policy incentives, and integrated urban environmental management plans. Future research directions include exploring the socio-economic barriers to RES adoption and extending analysis to include health impact assessments, thereby offering holistic insights into the benefits of renewable energy transition in urban environments.