Akademik Veri Yönetim Sistemi
Clean Energy for Low-Income Communities: Technology, Deployment and Challenges, Ting,Stagner, Editör, Institution of Engineering and Technology, New York, ss.281-297, 2024
There exists a global trend characterized by the increasing adoption of renewable energy sources to overcome climate problems. This research attempts to construct a scenario-based model to undertake a quantitative analysis of the prevailing state of electricity generation and forecast the future composition of the generation mix. There is variability in future electricity demand. To account for these uncertainties, nine scenarios were developed using the Long Emissions Analysis Platform (LEAP) tool: the Low Demand case following a business-as-usual (Low-Demand-BAU), a scenario involving the implementation of a renewable plan (Low-Demand-Renewable), a scenario combining renewable and nuclear energy plans (Low-Demand-Renewable-Nuclear), the Base-Demand case, business-asusual scenario (Base-Demand-BAU), a scenario implementing a renewable plan (Base-Demand-Renewable), a scenario integrating renewable and nuclear energy plans (Base-Demand-Renewable-Nuclear), the High Demand case business-as-usual scenario (High-Demand-BAU), a scenario adopting a renewable plan (High-Demand-Renewable), and a scenario involving a renewable and nuclear energy plan for meeting high demand. The businessas-usual scenarios are predicated on the current generation mix to meet demands. The renewable and nuclear plans aim to leverage both nuclear power and renewable energy potential. Comparative evaluations of these scenarios are conducted to assess their environmental impact, and ultimately, the results are analyzed.