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Identification of appropriate sites for solar-based green hydrogen production using a combination of density-based clustering, Best-Worst Method, and Spatial GIS. / Amjad, Fahd; Agyekum, Ephraim; Wassan, Niaz.
In: International Journal of Hydrogen Energy, Vol. 68, 2024, p. 1281-1296.

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Amjad F, Agyekum E, Wassan N. Identification of appropriate sites for solar-based green hydrogen production using a combination of density-based clustering, Best-Worst Method, and Spatial GIS. International Journal of Hydrogen Energy. 2024;68:1281-1296. doi: 10.1016/j.ijhydene.2024.04.310

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@article{0fdd90a821504610b7c832677c07ca05,
title = "Identification of appropriate sites for solar-based green hydrogen production using a combination of density-based clustering, Best-Worst Method, and Spatial GIS",
abstract = "Hydrogen is a relatively new source of sustainable energy resources; presently, its usage ranges from direct energy generation in mixed-cycle thermal power plants to its usage in the internal combustion engine. If the generation of hydrogen is coupled with renewable energy resources, the use of hydrocarbons can be substantially reduced in both energy generation and transportation. In this paper, we conducted a national-level assessment to identify the hydrogen generation capacity of Pakistan. The methodology used in this study is a combination of spatial multi-criteria analysis and density-based clustering in a geographical information systems environment. Based on the analysis, the national clusters capable of producing green hydrogen were identified. The results shows that the hydrogen generation capacity for Pakistan is approximately 7 million tons per year using solar photovoltaic energy. The Surab-Gwadar alignment, N-25 national highway, and Quetta-to-D-I-Khan alignment offer potential hydrogen generation sites with water resources. Most of the identified sites for the production of hydrogen in the country were found to be near the national electricity transmission networks. The Best-Worst Method was further employed to provide policymakers with a road map for prioritizing the development of these capacities based on their proximity to the national networks, their terrain suitability, and their generation capacities. {\textcopyright} 2024 Hydrogen Energy Publications LLC.",
author = "Fahd Amjad and Ephraim Agyekum and Niaz Wassan",
note = "The research funding was from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) and (Tolerant Efficient Energy Based on Renewable Energy Sources) grant number: N 975.42. Young Scientist laboratory 347/23.",
year = "2024",
doi = "10.1016/j.ijhydene.2024.04.310",
language = "English",
volume = "68",
pages = "1281--1296",
journal = "International Journal of Hydrogen Energy",
issn = "0360-3199",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Identification of appropriate sites for solar-based green hydrogen production using a combination of density-based clustering, Best-Worst Method, and Spatial GIS

AU - Amjad, Fahd

AU - Agyekum, Ephraim

AU - Wassan, Niaz

N1 - The research funding was from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) and (Tolerant Efficient Energy Based on Renewable Energy Sources) grant number: N 975.42. Young Scientist laboratory 347/23.

PY - 2024

Y1 - 2024

N2 - Hydrogen is a relatively new source of sustainable energy resources; presently, its usage ranges from direct energy generation in mixed-cycle thermal power plants to its usage in the internal combustion engine. If the generation of hydrogen is coupled with renewable energy resources, the use of hydrocarbons can be substantially reduced in both energy generation and transportation. In this paper, we conducted a national-level assessment to identify the hydrogen generation capacity of Pakistan. The methodology used in this study is a combination of spatial multi-criteria analysis and density-based clustering in a geographical information systems environment. Based on the analysis, the national clusters capable of producing green hydrogen were identified. The results shows that the hydrogen generation capacity for Pakistan is approximately 7 million tons per year using solar photovoltaic energy. The Surab-Gwadar alignment, N-25 national highway, and Quetta-to-D-I-Khan alignment offer potential hydrogen generation sites with water resources. Most of the identified sites for the production of hydrogen in the country were found to be near the national electricity transmission networks. The Best-Worst Method was further employed to provide policymakers with a road map for prioritizing the development of these capacities based on their proximity to the national networks, their terrain suitability, and their generation capacities. © 2024 Hydrogen Energy Publications LLC.

AB - Hydrogen is a relatively new source of sustainable energy resources; presently, its usage ranges from direct energy generation in mixed-cycle thermal power plants to its usage in the internal combustion engine. If the generation of hydrogen is coupled with renewable energy resources, the use of hydrocarbons can be substantially reduced in both energy generation and transportation. In this paper, we conducted a national-level assessment to identify the hydrogen generation capacity of Pakistan. The methodology used in this study is a combination of spatial multi-criteria analysis and density-based clustering in a geographical information systems environment. Based on the analysis, the national clusters capable of producing green hydrogen were identified. The results shows that the hydrogen generation capacity for Pakistan is approximately 7 million tons per year using solar photovoltaic energy. The Surab-Gwadar alignment, N-25 national highway, and Quetta-to-D-I-Khan alignment offer potential hydrogen generation sites with water resources. Most of the identified sites for the production of hydrogen in the country were found to be near the national electricity transmission networks. The Best-Worst Method was further employed to provide policymakers with a road map for prioritizing the development of these capacities based on their proximity to the national networks, their terrain suitability, and their generation capacities. © 2024 Hydrogen Energy Publications LLC.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85191823315

U2 - 10.1016/j.ijhydene.2024.04.310

DO - 10.1016/j.ijhydene.2024.04.310

M3 - Article

VL - 68

SP - 1281

EP - 1296

JO - International Journal of Hydrogen Energy

JF - International Journal of Hydrogen Energy

SN - 0360-3199

ER -

ID: 56629789