Semantic Scholar Open Access 2022 173 sitasi

The determinants of renewable energy sources for the fueling of green and sustainable economy

Jin Zhao A. K. Patwary A. Qayyum Majed Alharthi F. Bashir +3 lainnya

Abstrak

Abstract This study seeks to evaluate potential solutions to Pakistan's energy shortages based on a renewable green hydrogen source provided by geothermal, wind, biomass, and solar energy. To this end, the application of multi-Criteria Decision Analysis (MCDA) and the Fuzzy-analytical hierarchical process was tested on four primary criteria: social acceptance, economic, commercialization, and environmental. The Data Envelopment Analysis (DEA) is used to analyze the development of hydrogen energy using existing renewable sources under the set parameters. Based on results from the fuzzy-led DEA study, the efficiency of wind energy sources is best adapted to produce hydrogen energy for all four criteria in Pakistan. The DEA-led analysis also deems wind energy to be Pakistan's effective source of hydrogen energy. In other words, to produce hydrogen energy, the findings revealed the best optimal rank 1.00 for wind energy, second highest score 0.97 for biomass, third rank for solar energy with a score of 0.75, and geothermal ranked at last position with a score of 0.662. The findings emphasize that the development of wind energy projects will help to fulfill local energy requirements and minimize fossil energy usage. This study can assist policymakers design fact-based initiatives in their particular regions of hydrogen energy.

Topik & Kata Kunci

Penulis (8)

J

Jin Zhao

A

A. K. Patwary

A

A. Qayyum

M

Majed Alharthi

F

F. Bashir

M

M. Mohsin

I

Imran Hanif

Q

Qaiser Abbas

Format Sitasi

Zhao, J., Patwary, A.K., Qayyum, A., Alharthi, M., Bashir, F., Mohsin, M. et al. (2022). The determinants of renewable energy sources for the fueling of green and sustainable economy. https://doi.org/10.1016/j.energy.2021.122029

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Lihat di Sumber doi.org/10.1016/j.energy.2021.122029
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
173×
Sumber Database
Semantic Scholar
DOI
10.1016/j.energy.2021.122029
Akses
Open Access ✓