Assessment of the incubating environment for investment in biogas technology in Syria by using AHP and SWOT
Status Publisher Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články
PubMed
37363012
PubMed Central
PMC10040307
DOI
10.1007/s10668-023-03137-9
PII: 3137
Knihovny.cz E-zdroje
- Klíčová slova
- Analytic hierarchy process, Biogas adoption, Biogas technology, Developing countries, SWOT analysis,
- Publikační typ
- časopisecké články MeSH
In light of the massive energy supply shortage due to the Syrian war since 2011, renewable energy adoption has a high potential to cover the actual energy demand. Hence, this study aims to shed light on the factors that affect investment in biogas technology. With the scarcity of research on alternative energies in Syria, this paper focused on the characteristics of the Syrian environment toward biogas technology adoption. The results show that Syrian society accepts and desires to adopt new technologies, representing an optimal strategy to stimulate biogas technology use and the need to spread awareness about its benefits. The SWOT model was applied to identify strengths, weaknesses, opportunities, and threats facing biogas technology adoption. The analytical hierarchy process model was applied to set priorities and make better decisions related to the knowledge of biogas, acceptance of biogas technology, desire for and common approach for its use, the resulting organic fertilizer, and administrative and financial aspects. The work concludes that the southern region was at the forefront in the areas studied in terms of weights of biogas technology investment criteria, subsequently, the central and later the coastal regions. By presenting a systematic and comprehensive approach, this study represents a roadmap to assist decision-makers in inking decisions related to adopting and deploying biogas technology on a larger scale and contributes to developing a criterion for selecting biogas sites in Syria.
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Abdo, A. R., & Al-Ahmad, A. N. (2015). Study of the factors that affect the yield reactor for the production of biogas from residues country house in Tartus Province. Master's thesis, University of Tartus, pp. 1-94. Syria. Available online: http://mohe.gov.sy/master/Message/Mc/asama%20abdo.pdf. Accessed 11 January 2022.
Akther A, Ahamed T, Noguchi R, Genkawa T, Takigawa T. Site suitability analysis of biogas digester plant for municipal waste using GIS and multi-criteria analysis. Asia-Pacific Journal of Regional Science. 2019;3(1):61–93. doi: 10.1007/s41685-018-0084-2. DOI
Al-Afif, R., & Amon, T. (2008). Biogas production from olive pulp and cattle manure - Effect of co-fermentation and enzymes on methane productivity.
Al Halabi, I. et al. (2021). Status of energy in Syria-study on how to meet the energy shortage by means of renewable resources. In: 2021 12th international renewable engineering conference, IREC 2021 [Preprint]. Available at: 10.1109/IREC51415.2021.9427837.
Al Hussein, Z.R.A., (2017). Syria worst man-made disaster since world war II. High-level panel discussion at the human rights council on the situation of human rights in the Syrian Arab Republic, March, 14.
Almikdad, A. J. A. (2015). National Energy Research Center, Report. Available online at http://gcsar.gov.sy/ar/wp-content/uploads.pdf,2015,p1-38. Accessed on 12 December 2021.
Alshami AH, Hussein HA. Feasibility analysis of mini hydropower and thermal power plants at Hindiya barrage in Iraq. Ain Shams Engineering Journal. 2021;12(2):1513–1521. doi: 10.1016/J.ASEJ.2020.08.034. DOI
Al-Mohamad, A. (2001). Renewable energy resources in Syria.
Audu IG, et al. Exploring biogas and biofertilizer production from abattoir wastes in Nigeria using a multi-criteria assessment approach. Recycling. 2020;5(3):18. doi: 10.3390/RECYCLING5030018. DOI
Aw-Hassan A, Rida F, Telleria R, Bruggeman A. The impact of food and agricultural policies on groundwater use in Syria. Journal of Hydrology. 2014;513:204–215. doi: 10.1016/j.jhydrol.2014.03.043. DOI
Bagheri M, et al. Application of multi-criteria decision-making model and expert choice software for coastal city vulnerability evaluation. Urban Science. 2021;5(4):84. doi: 10.3390/URBANSCI5040084. DOI
Behrsin, I. et al. (2022) ‘A Race to the Top Arabic-speaking countries on pace to grow their utility-scale wind and solar capacity more than 500% BY 2030’. Available at: https://www.irena.org/mena/Pan-Arab-Clean-Energy-In (Accessed: 13 November 2022).
Behrsin, I., Oʼmalia, K., Prasad, S., Hinh, A., & Abdallah, N. (2022.). A race to the top Arabic-speaking countries on pace to grow their utility-scale wind and solar capacity more than 500% BY 2030. Retrieved November 13, 2022, from https://www.irena.org/mena/Pan-Arab-Clean-Energy-In
Brudermann T, Mitterhuber C, Posch A. Agricultural biogas plants – A systematic analysis of strengths, weaknesses, opportunities and threats. Energy Policy. 2015;76:107–111. doi: 10.1016/J.ENPOL.2014.11.022. DOI
Bumbiere K, Pubule J, Blumberga D. What will be the future of biogas sector? Environmental and Climate Technologies. 2021;25(1):295–305. doi: 10.2478/RTUECT-2021-0021. DOI
Burak S, Samanlioglu F, Ülker D. Evaluation of irrigation methods in Söke Plain with HF-AHP-PROMETHEE II hybrid MCDM method. Agricultural Water Management. 2022;271:107810. doi: 10.1016/J.AGWAT.2022.107810. DOI
Central Bureau of Statistics report CBS. (2019). Available online at: http://cbssyr.sy/. Accessed on 11 December 2021.
Cheung F, et al. The impact of the Syrian conflict on population well-being. Nature Communications. 2020;11(1):1–10. doi: 10.1038/s41467-020-17369-0. PubMed DOI PMC
D'Adamo I, Falcone PM, Ferella F. A socio-economic analysis of biomethane in the transport sector: The case of Italy. Waste Management. 2019;95:102–115. doi: 10.1016/j.wasman.2019.06.005. PubMed DOI
De Jesus RHG, Barros MV, Salvador R, de Souza JT, Piekarski CM, de Francisco AC. Forming clusters based on strategic partnerships and circular economy for biogas production: A GIS analysis for optimal location. Biomass and Bioenergy. 2021;150:106097. doi: 10.1016/j.biombioe.2021.106097. DOI
Falcone PM, Lopolito A, Sica E. The networking dynamics of the Italian biofuel industry in time of crisis: Finding an effective instrument mix for fostering a sustainable energy transition. Energy Policy. 2018;112:334–348. doi: 10.1016/j.enpol.2017.10.036. DOI
Falcone PM, Sica E. Assessing the opportunities and challenges of green finance in Italy: An analysis of the biomass production sector. Sustainability. 2019;11(2):517. doi: 10.3390/su11020517. DOI
Feiz R, et al. Key factors for site-selection of biogas plants in Sweden. Journal of Cleaner Production. 2022;354:131671. doi: 10.1016/J.JCLEPRO.2022.131671. DOI
Fernández-González JM, Martín-Pascual J, Zamorano M. Biomethane injection into natural gas network vs composting and biogas production for electricity in Spain: An analysis of key decision factors. Sustainable Cities and Society. 2020;60:102242. doi: 10.1016/j.scs.2020.102242. DOI
Giganti, P., Falcone, P.M., (2022) Scaling up of green finance in a post-COVID-19 Era: A sustainability transition perspective and policy insights. In: Handbook of research on global aspects of sustainable finance in times of crises. DOI: 10.4018/978-1-7998-8501-6.ch004
Global Communities. (2018). Biogas for Better Access to Energy and Livelihood. Available online at: https://www.globalcommunities.org/publications/2018-Syria-Biogas.pdf. Accessed on 15 May 2022.
Gottfried O, et al. SWOT-AHP-TOWS analysis of private investment behavior in the Chinese biogas sector. Journal of Cleaner Production. 2018;184:632–647. doi: 10.1016/J.JCLEPRO.2018.02.173. DOI
Hasan G, et al. Feasibility analysis of small-scale biogas plants usage in the Syrian coast through agricultural crop residues and co-digestion of manure. Biomass Conversion and Biorefinery. 2022 doi: 10.1007/S13399-021-02112-6. DOI
Hatahet, S., & Shaar, K. (2021).
Ilbahar E, Kahraman C, Cebi S. Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP. Energy. 2022;239:121907. doi: 10.1016/J.ENERGY.2021.121907. DOI
Iqbal, S.A., Rahaman, S. and Yousuf, A., (2014). Present scenario of biogas technology in Bangladesh-prospects, potentials and barriers. In: Proceedings of the 15th annual paper meet, 7, p.08.
IRENA, (2021) 'Syrian Arab Republic Energy Profile'. Available online at: file:///C:/Users/Windows.10/Desktop/2/Syrian%20Arab%20Republic_Middle%20East_RE_SP.pdf. (Accessed on 11 November 2022).
Ishizaka A, Labib A. Analytic hierarchy process and expert choice: Benefits and limitations. OR Insight. 2009;22(4):201–220. doi: 10.1057/ORI.2009.10. DOI
Jafar R, Awad A. State and development of anaerobic technology for biogas production in Syria. Cleaner Engineering and Technology. 2021;5:100253. doi: 10.1016/J.CLET.2021.100253. DOI
Kamran M, Fazal MR, Mudassar M. Towards empowerment of the renewable energy sector in Pakistan for sustainable energy evolution: SWOT analysis. Renewable Energy. 2020;146:543–558. doi: 10.1016/J.RENENE.2019.06.165. DOI
Kowalska-Pyzalska A, Kott J, Kott M. Why polish market of alternative fuel vehicles (AFVs) is the smallest in Europe? SWOT analysis of opportunities and threats. Renewable and Sustainable Energy Reviews. 2020;133:110076. doi: 10.1016/j.rser.2020.110076. DOI
Krepl V, Shaheen HI, Fandi G, Smutka L, Muller Z, Tlustý J, Husein T, Ghanem S. The role of renewable energies in the sustainable development of post-crisis electrical power sectors reconstruction. Energies. 2020;13(23):6326. doi: 10.3390/EN13236326. DOI
Krepl V, et al. The role of renewable energies in the sustainable development of post-crisis electrical power sectors reconstruction. Energies. 2020;13(23):6326. doi: 10.3390/EN13236326. DOI
Kurttila M, Pesonen M, Kangas J, Kajanus M. Utilizing the analytic hierarchy process (AHP) in SWOT analysis—a hybrid method and its application to a forest-certification case. Forest Policy and Economics. 2000;1(1):41–52. doi: 10.1016/S1389-9341(99)00004-0. DOI
Laub, Z., 2020. Syria’s civil war: The descent into horror. CFR,[Erişim Tarihi: 12.10. (2019), https://www.cfr.org/article/syrias-civil-war]
Li XY, et al. Civil war hinders crop production and threatens food security in Syria. Nature Food. 2022;3(1):38–46. doi: 10.1038/s43016-021-00432-4. PubMed DOI
Longsheng C, et al. An integrated SWOT-multi-criteria analysis of implementing sustainable waste-to-energy in Pakistan. Renewable Energy. 2022;195:1438–1453. doi: 10.1016/J.RENENE.2022.06.112. DOI
Martin M. Potential of biogas expansion in Sweden: Identifying the gap between potential studies and producer perspectives. Biofuels. 2015;6(5–6):233–240. doi: 10.1080/17597269.2015.1090769. DOI
Mastrocinque E, et al. An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector. Expert Systems with Applications. 2020;150:1133. doi: 10.1016/J.ESWA.2020.113321. DOI
Mukeshimana MC, et al. Analysis on barriers to biogas dissemination in Rwanda: AHP approach. Renewable Energy. 2021;163:1127–1137. doi: 10.1016/J.RENENE.2020.09.051. DOI
Mukeshimana MC, et al. Analysis on barriers to biogas dissemination in Rwanda: AHP approach. Renewable Energy. 2021;163:1127–1137. doi: 10.1016/J.RENENE.2020.09.051. DOI
Nantasaksiri K, Charoen-amornkitt P, Machimura T. Integration of multicriteria decision analysis and geographic information system for site suitability assessment of Napier grass-based biogas power plant in southern Thailand. Renewable and Sustainable Energy Transition. 2021;1:1000. doi: 10.1016/J.RSET.2021.100011. DOI
Nasution MA, et al. Alternative POME treatment technology in the implementation of roundtable on sustainable palm oil, Indonesian sustainable palm oil (ISPO), and Malaysian sustainable palm oil (MSPO) standards using LCA and AHP methods. Sustainability. 2020;12(10):4101. doi: 10.3390/SU12104101. DOI
Ng KH. Adoption of TiO2-photocatalysis for palm oil mill effluent (POME) treatment: Strengths, weaknesses, opportunities, threats (SWOT) and its practicality against traditional treatment in Malaysia. Chemosphere. 2021;270:129378. doi: 10.1016/J.CHEMOSPHERE.2020.129378. PubMed DOI
Nilsson H, Nordström E-M, Öhman K. Decision support for participatory forest planning using AHP and TOPSIS. Forests. 2016;7(5):100. doi: 10.3390/F7050100. DOI
Noorollahi Y, et al. Review of two decade geothermal energy development in Iran, benefits, challenges, and future policy. Geothermics. 2019;77:257–266. doi: 10.1016/J.GEOTHERMICS.2018.10.004. DOI
Obrecht, M. and Denac, M., BIOGAS—SUSTAINABLE ENERGY SOURCE: NEW POSSIBILITIES AND MEASURES FOR SLOVENIA BIOPLIN—TRAJNOSTNI VIR ENERGIJE: NOVE MOŽNOSTI IN UKREPI ZA SLOVENIJO
OCHA. (2017). FAO supports rural households to strengthen their resilience through the production of eco-friendly alternative sources of energy and organic fertilizers. Available online at: https://reliefweb.int/report/syrian-arab-republic/food-and-agriculture-organization-united-nations-supports-rural. Accessed on 11 May 2021.
Okello C, Pindozzi S, Faugno S, Boccia L. Appraising bioenergy alternatives in Uganda using strengths, weaknesses, opportunities and threats (SWOT)-analytical hierarchy process (AHP) and a desirability functions approach. Energies. 2014;7(3):1171–1192. doi: 10.3390/en7031171. DOI
Olabi AG, et al. Battery energy storage systems and SWOT (strengths, weakness, opportunities, and threats) analysis of batteries in power transmission. Energy. 2022;254:123987. doi: 10.1016/J.ENERGY.2022.123987. DOI
Paschalidou A, Tsatiris M, Kitikidou K. Energy crops for biofuel production or for food? - SWOT analysis (case study: Greece) Renewable Energy. 2016;93:636–647. doi: 10.1016/J.RENENE.2016.03.040. DOI
Pathak SK, et al. Prioritization of barriers to the development of renewable energy technologies in India using integrated modified Delphi and AHP method. Sustainable Energy Technologies and Assessments. 2022;50:1018. doi: 10.1016/J.SETA.2021.101818. DOI
Pawlita-Posmyk M, Wzorek M. Biogas production from the perspective of sustainable development. Economic and Environmental Studies. 2020;18(3):1043–1057. doi: 10.25167/EES.2018.47.1. DOI
Rao Tummala VM, Ling H. A note on the computation of the mean random consistency index of the analytic hierarchy process (AHP) Theory and Decision. 1998;44(3):221–230. doi: 10.1023/A:1004953014736. DOI
Roubík H, et al. Current coronavirus crisis and past pandemics – What can happen in post-COVID-19 agriculture? Sustainable Production and Consumption. 2022;30:752–760. doi: 10.1016/j.spc.2022.01.007. PubMed DOI PMC
Ruoso AC, et al. The impact of landfill operation factors on improving biogas generation in Brazil. Renewable and Sustainable Energy Reviews. 2022;154:111868. doi: 10.1016/J.RSER.2021.111868. DOI
Saaty TL. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology. 1977;15(3):234–281. doi: 10.1016/0022-2496(77)90033-5. DOI
Sacco, R.L., Brito, T.L.F., dos Santos, E.M. and dos Santos Matai, P.H.L., (2022). Unconventional sources of gaseous energy in the Southern Region of Brazil: A comparative SWOT analysis. Revista Brasileira de Energia, 28(2).
Saha CK, et al. Biogas technology in commercial poultry and dairy farms of Bangladesh: Present scenario and future prospect. Biomass Conversion and Biorefinery. 2022;1:1–12. doi: 10.1007/S13399-022-02938-8. DOI
SANA (Syrian Arab News Agency). (2022). Available online at: https://www.sana.sy/?p=1574992 (Accessed on 11 July 2022).
Salah SI, Eltaweel M, Abeykoon C. Towards a sustainable energy future for Egypt: A systematic review of renewable energy sources, technologies, challenges, and recommendations. Cleaner Engineering and Technology. 2022;8:100497. doi: 10.1016/J.CLET.2022.100497. DOI
Schaper, C., Beitzen-Heineke, C. & Theuvsen, L. (2010). Finanzierung und Organisation landwirtschaft-licher Biogasanlagen: Eine empirische Untersuchung.
sciences, T.S.-I. journal of services and 2008, undefined (2008) ‘Decision making with the analytic hierarchy process’,
Sedghiyan D, et al. RETRACTED: Prioritization of renewable energy resources in five climate zones in Iran using AHP, hybrid AHP-TOPSIS and AHP-SAW methods. Sustainable Energy Technologies and Assessments. 2021;44:101045. doi: 10.1016/J.SETA.2021.101045. DOI
Shawon MJ, el Chaar L, Lamont LA. Overview of wind energy and its cost in the Middle East. Sustainable Energy Technologies and Assessments. 2013;2(1):1–11. doi: 10.1016/J.SETA.2013.01.002. DOI
Shyamprasad, V. and Kousalya, P., (2020). Role of consistency and random index in analytic hierarchy process—a new measure. In Numerical optimization in engineering and sciences (pp. 233–239). Springer.
Silva S, Alçada-Almeida L, Dias LC. Biogas plants site selection integrating multicriteria decision aid methods and GIS techniques: A case study in a Portuguese region. Biomass and Bioenergy. 2014;71:58–68. doi: 10.1016/J.BIOMBIOE.2014.10.025. DOI
World Bank. (2022) The World Bank In Syrian Arab Republic, Overview. Available online at: https://www.worldbank.org/en/country/syria/overview. (Accessed on 21 October 2022).
Tumen Ozdil NF, Caliskan M. Energy potential from biomass from agricultural crops: Development prospects of the Turkish bioeconomy. Energy. 2022;249:123770. doi: 10.1016/J.ENERGY.2022.123770. DOI
Wedley WC. Consistency prediction for incomplete AHP matrices. Mathematical and Computer Modelling. 1993;17(4–5):151–161. doi: 10.1016/0895-7177(93)90183-Y. DOI
Yadav P, Yadav S, Singh D, Kapoor RM, et al. An analytical hierarchy process based decision support system for the selection of biogas up-gradation technologies. Chemosphere. 2022;302:134741. doi: 10.1016/J.CHEMOSPHERE.2022.134741. PubMed DOI
Yadav P, Yadav S, Singh D, Giri BS. Sustainable rural waste management using biogas technology: An analytical hierarchy process decision framework. Chemosphere. 2022;301:134737. doi: 10.1016/J.CHEMOSPHERE.2022.134737. PubMed DOI
Yalcinkaya S. A spatial modeling approach for siting, sizing and economic assessment of centralized biogas plants in organic waste management. Journal of Cleaner Production. 2020;255:120040. doi: 10.1016/J.JCLEPRO.2020.120040. DOI
Yazan, D.M., Cafagna, D., Fraccascia, L., Mes, M., Pontrandolfo, P. and Zijm, H., (2018). Economic sustainability of biogas production from animal manure: A regional circular economy model. Management Research Review.
Zhang L, Wang J, Li S. Regional suitability analysis of the rural biogas power generation industry: A case of China. Renewable Energy. 2022;194:293–306. doi: 10.1016/j.renene.2022.05.073. DOI