Preprint / Version 1

A Comprehensive Survey on 100% Renewable Energy Transition Roadmap for Global Decarbonization: A Story Told So Far

##article.authors##

  • Kinza Fida Department of Electrical Engineering, National University of Computer and Emerging Science Peshawar Campus
  • Usman Abbasi Department of Electrical Engineering, National University of Computer and Emerging Science Peshawar Campus
  • Muhammad Adnan National university of computer and emerging sciences
  • Muhammad Sajid Iqbal Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Herman Zahid Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Salah Eldeen Gasim Mohamed Department of Electrical Power and Machines, Sudan University of Science and Technology, Sudan

DOI:

https://doi.org/10.31224/4069

Keywords:

CO2 emissions, Renewable Energy Integration, Edge Computing, Transfer Learning, Distributed Computing

Abstract

To limit the impacts of climate change, the carbon dioxide CO2 emissions (CE) correlated with the energy sector must be decreased. Reduction of CE will have a positive effect on the atmosphere by avoiding the adverse impact of global warming. To attain an eco-environment, the initial energy resource needs to move from traditional fossil fuels to unpolluted renewable energy (RE). Thus, enhancing the utilization of RE actively decreases air pollution and adds secure sustainable energy allocation to ensure future energy needs. Integrating sources of RE not only drops CE but also decreases fuel consumption, leading to significant economic savings. This paper presents the transition of global energy that will have a largely positive impact on the growth and future stability of economies with cost-effective and more sustainable all over the world. Significant reductions can be accomplished by using applicable policies and technologies. In the context of current discussions about climate change and the reduction of CE, this paper critically analyses some policies, technologies, and commonly discussed solutions. Technologies like digital twin (DT), transfer learning (TL), Edge Computing (EC), Distributed Computing (DC), and some other technologies with their work for the reduction of CE are discussed thoroughly in this paper. The given techniques in this survey paper present the best optimal solutions for CE reduction.

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Posted

2024-11-04