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Developing and evaluating strategies to overcome biomass supply risks

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  • Rauch, Peter

Abstract

The aim of this paper is to develop and evaluate innovative strategies to overcome biomass supply problems and increase the competitiveness of wood-based energy production. Potential impacts of the socio-economic, political and ecological environment on future supply and demand are investigated by means of portfolio and risk analyses. Based on a SWOT-strategy development process, preventative and coping strategies are formulated. A holistic evaluation of strategies developed by 36 Austrian stakeholders encompassing the entire biomass supply chain was conducted. Competing industries (i.e. bioenergy, pulp and panel industry) were included by applying a standardised group decision process (Analytic Hierarchy Process), indicating the most promising and robust strategies. The portfolio of the highest ranked strategies assists relevant bioenergy stakeholders (e.g., investors, feedstock procurement managers and government agencies) in making strategic decisions regarding investment, biomass supply and policy choices.

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  • Rauch, Peter, 2017. "Developing and evaluating strategies to overcome biomass supply risks," Renewable Energy, Elsevier, vol. 103(C), pages 561-569.
    • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:561-569
    DOI: 10.1016/j.renene.2016.11.060
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    1. Ching‐To Albert Ma & Thomas G. Mcguire, 2002. "Network Incentives in Managed Health Care," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(1), pages 1-35, March.
    2. Kou, Nannan & Zhao, Fu, 2011. "Techno-economical analysis of a thermo-chemical biofuel plant with feedstock and product flexibility under external disturbances," Energy, Elsevier, vol. 36(12), pages 6745-6752.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    4. Rauch, Peter & Wolfsmayr, Ulrich J. & Borz, Stelian Alexandru & Triplat, Matevž & Krajnc, Nike & Kolck, Matthias & Oberwimmer, Roland & Ketikidis, Chrysovalantis & Vasiljevic, Aleksandar & Stauder, Mi, 2015. "SWOT analysis and strategy development for forest fuel supply chains in South East Europe," Forest Policy and Economics, Elsevier, vol. 61(C), pages 87-94.
    5. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries," Energy, Elsevier, vol. 86(C), pages 354-368.
    6. anonymous, 1998. "Guide to portfolio risk-management design for CDFIs," Banking and Community Perspectives, Federal Reserve Bank of Dallas, issue 4, pages 6-8.
    7. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    8. Ananda, Jayanath & Herath, Gamini, 2009. "A critical review of multi-criteria decision making methods with special reference to forest management and planning," Ecological Economics, Elsevier, vol. 68(10), pages 2535-2548, August.
    9. Forman, Ernest & Peniwati, Kirti, 1998. "Aggregating individual judgments and priorities with the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 108(1), pages 165-169, July.
    10. Ossadnik, Wolfgang & Lange, Oliver, 1999. "AHP-based evaluation of AHP-Software," European Journal of Operational Research, Elsevier, vol. 118(3), pages 578-588, November.
    11. Ananda, Jayanath & Herath, Gamini, 2003. "The use of Analytic Hierarchy Process to incorporate stakeholder preferences into regional forest planning," Forest Policy and Economics, Elsevier, vol. 5(1), pages 13-26, January.
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    Cited by:

    1. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    2. Sajid, Zaman, 2021. "A dynamic risk assessment model to assess the impact of the coronavirus (COVID-19) on the sustainability of the biomass supply chain: A case study of a U.S. biofuel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Mohr, Lukas & Burg, Vanessa & Thees, Oliver & Trutnevyte, Evelina, 2019. "Spatial hot spots and clusters of bioenergy combined with socio-economic analysis in Switzerland," Renewable Energy, Elsevier, vol. 140(C), pages 840-851.
    4. Hernández, Juan J. & Lapuerta, Magín & Monedero, Esperanza & Pazo, Amparo, 2018. "Biomass quality control in power plants: Technical and economical implications," Renewable Energy, Elsevier, vol. 115(C), pages 908-916.

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