Current Scenario of Solar Energy Applications in Bangladesh: Techno-Economic Perspective, Policy Implementation, and Possibility of the Integration of Artificial Intelligence
Monirul Islam Miskat,
Protap Sarker,
Hemal Chowdhury,
Tamal Chowdhury (),
Md Salman Rahman,
Nazia Hossain,
Piyal Chowdhury and
Sadiq M. Sait
Additional contact information
Monirul Islam Miskat: Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh
Protap Sarker: Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh
Hemal Chowdhury: Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh
Tamal Chowdhury: Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh
Md Salman Rahman: School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, TX 78539, USA
Nazia Hossain: School of Engineering, RMIT University, Melbourne, VIC 3001, Australia
Piyal Chowdhury: Department of Computer Science and Engineering, University of Science & Technology Chittagong (USTC), Foy’s Lake, Zakir Hossain Road, Chattogram 4202, Bangladesh
Sadiq M. Sait: Computer Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Energies, 2023, vol. 16, issue 3, 1-27
Abstract:
Bangladesh is blessed with abundant solar resources. Solar power is considered the most desirable energy source to mitigate the high energy demand of this densely populated country. Although various articles deal with solar energy applications in Bangladesh, no detailed review can be found in the literature. Therefore, in this study, we report on the current scenario of renewable energy in Bangladesh and the most significant potential of solar energy’s contribution among multiple renewable energy resources in mitigating energy demand. One main objective of this analysis was to outline the overall view of solar energy applications in Bangladesh to date, as well as the ongoing development of such projects. The technical and theoretical solar energy potential and the technologies available to harvest solar energy were also investigated. A detailed techno-economic design of solar power applications for the garment industry was also simulated to determine the potential of solar energy for this specific scenario. Additionally, renewable energy policies applied in Bangladesh to date are discussed comprehensively, with an emphasis on various ongoing projects undertaken by the government. Moreover, we elaborate global insight into solar power applications and compare Bangladesh’s current solar power scenario with that of other regions worldwide. Furthermore, the potential of artificial intelligence to accelerate solar energy enhancement is delineated comprehensively. Therefore, in this study, we determined the national scenarios of solar power implementation in Bangladesh and projected the most promising approaches for large-scale solar energy applications using artificial intelligence approaches.
Keywords: solar energy; Bangladesh; techno-economic analysis; artificial intelligence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://www.mdpi.com/1996-1073/16/3/1494/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/3/1494/ (text/html)
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:gam:jeners:v:16:y:2023:i:3:p:1494-:d:1055899
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().