Abstract
Biogas is a promising renewable technology to alleviate energy poverty. Pakistan has a capacity of 5 million bio digesters that can be installed in different farming areas. However, this target has never been achieved because many barriers hamper the biogas industry development. In previous studies, some researchers have indicated these barriers in different geographical contexts: however, these barriers are rarely examined in Pakistan. To fulfill the research gap, this study prioritizes potential barriers. Using a literature review and a modified Delphi technique, we identify 25 sub-barriers and catalog them into 5 main categories. The analytical hierarchy process (AHP) prioritizes the main barriers and sub-barriers based on potential. Grey Technique for Order Preference by Similarity to Ideal Solution (G-TOPSIS) ranks the practical alternatives to combat these barriers. The study findings specify that the “financial barrier” is the top-ranked barrier among the main categories, followed by technical, socio-cultural, institutional and administrative, and environmental barriers. The overall ranking shows that the “high starting price tag” is ranked first among all sub-barriers in all categories. It has been proposed that “appropriate financial incentives” and “promotion of customized technology” would be feasible alternative solutions to combat the issues. Based on the research findings, some policy recommendations were suggested for biogas uptake in Pakistan. This study may assist policymakers, stakeholders, and government institutions in accelerating the potential of biogas energy to alleviate energy poverty in rural areas of Pakistan.
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Data availability
The datasets used and/or analyzed during the current study are available from the first author on reasonable request.
Abbreviations
- AHP:
-
Analytical Hagiarchy Process
- CI:
-
Consistency Index
- CR:
-
Consistency ratio
- AEDB:
-
Alternative Energy Development Board
- AZRI:
-
Arid Zone Research Institution
- GOP:
-
Government of Pakistan
- G-TOPSIS:
-
Grey Technique for Order Preference by Similarity to Ideal Solution
- IAEA:
-
International Atomic Energy Agency
- IEA:
-
Inter-national Energy Agency
- PCAT:
-
Pakistan Council of Appropriate Technology
- PBI:
-
Punjab Bioenergy Institute
- PCRET:
-
Pakistan Council of Renewable Energy Technology
- R&D:
-
Research & Development
- REAP:
-
Renewable & Alternative Energy Association of Pakistan
- RETs:
-
Renewable Energy Technology
- SWOC:
-
Strength-Weakness-Opportunity-Challenge
- SWOT:
-
Strength-Weakness-Opportunity-Threat
- UN:
-
United Nations
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Kiran Batool, Zhen-Yu Zhao, Naila Nureen, and Muhammad Irfan. The first draft of the manuscript was written by Kiran Batool and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Appendix 1: Table A. Experts' demographic information. Appendix 2: Table B1. Please rank the opinion's significance on a Saaty 1–9 scale. Table B2. Pairwise comparison matrix of financial sub-barriers. Table B3. Pairwise comparison matrix of technical sub-barriers. Table B3. Pairwise comparison matrix of technical sub-barriers. Table B5. Pairwise comparison matrix of institutional & administrative sub-barriers. Table B6. Pairwise comparison matrix of environmental sub-barriers.
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Batool, ., Zhao, ZY., Nureen, N. et al. Assessing and prioritizing biogas barriers to alleviate energy poverty in Pakistan: an integrated AHP and G-TOPSIS model. Environ Sci Pollut Res 30, 94669–94693 (2023). https://doi.org/10.1007/s11356-023-28767-4
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DOI: https://doi.org/10.1007/s11356-023-28767-4