From Fossil Fuels to Renewables: How Engineers and Local Governments are Paving the Way for Sustainable Development

Prince Ogrene Nwocha ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 3, issue 1, 466-475

Abstract: The transition from fossil fuels to renewable energy is a pivotal step toward achieving global sustainable development goals. This study explores the collaborative efforts of engineers and local governments in facilitating this transition, emphasizing the implementation of innovative technologies, policy frameworks, and community engagement strategies. By examining case studies and best practices, the paper highlights the critical role of engineers in designing and deploying renewable energy systems and the proactive measures taken by local governments to create enabling environments through supportive policies and incentives. The research underscores the synergy between technical expertise and governance in addressing challenges such as infrastructure development, financing, and public awareness. The findings demonstrate that a coordinated approach between engineers and local governments is essential to accelerating the adoption of renewable energy and promoting environmental, economic, and social sustainability.

Keywords: Renewable Energy; Fossil Fuels; Sustainable Development; Engineers; Local Governments; Energy Transition; Policy Frameworks (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/319 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:3:y:2024:i:1:p:466-475:id:319

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().