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Stakeholder analysis in the biomass energy development based on the experts’ opinions: the example of Triglav National Park in Slovenia

Abstract

The paper presents a method for identifying and classifying local stakeholders involved in renewable energy development. The method is based on the expert assessment and comprises three main steps: (1) identification of the independent experts considering their expertise and knowledge of the local context; (2) identification of the local stakeholders based on expert assessment; and (3) analytical categorisation of stakeholders taking into account the professional relationship network. Using forest biomass (bioenergy) production as example, the stakeholder analysis is illustrated on the case study of Triglav National Park, which is characterised by a high potential of woody biomass production and a large number of stakeholders involved in land use and management. The first stage of stakeholder analysis identifies the key stakeholders to be involved in bioenergy development, through a survey with local experts. The results highlight eight key stakeholders and several primary and secondary stakeholders that should be involved to ensure socially acceptable decision-making about the renewable energy development in the Triglav National Park.

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Impact of Supply Chain Solutions on Environmental Performance of Biomass Use – LCA-based Research Case

Journal of Environmental Studies 2012, 21, pp. 1230-1485 Murphy, F., Sosa, A., McDonnell, K., Devlin, G. (2016) “Life cycle assessment of biomass-to-energy systems in Ireland modelled with biomass supply chain optimisation based on greenhouse gas emission reduction”, Energy, Volume 109, 15 August 2016, Pages 1040-1055, http://dx.doi.org/10.1016/j.energy.2016.04.125 Ociepa-Kubicka A. (2014) „Biomass market in Poland - development factors” (in Polish: Rynek biomasy w Polsce-uwarunkowania rozwoju) [in:] Gospodarka przestrzennauwarunkowania

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The potential opportunities for using wood biomass in energy production

Abstract

This paper presents results of a meta-analysis on the theoretical and economic aspects of using wood biomass for the production of energy in Poland. The source data used in the analyses were obtained from various official sources and statistics as well as previously published scientific studies. The results lead to the conclusion that the wood biomass supplied for energy production in the year 2012 amounted to a total of 18 million cubic meters, of which forestry supplied 6.8 million m3, the wood industry 6.5 million m3 and public utilities provided 4.5 million m3.

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Spatial considerations of an area restriction model for identifying harvest blocks at commercial forest plantations

Abstract

In the past few decades, ecological and environmental issues have dominated the forest industry worldwide, but economic aspects have been much less studied in this dynamic period. However, a sustainable and efficient forest biomass supply is critical for socio-economic development in many regions, particularly in rural areas. Nature protection efforts have contributed to reduced harvesting quotas, which have resulted in an imbalance of the environmental functions of the forests and forest management, particularly wood supply.

Considering the size and distribution of forest production management units and the forest stands that compose those units, there is a clear need for improved decision-making tools that help forest managers in planning harvest sequences. The optimization of harvest scheduling should consider economic and spatial factors, which may reduce production costs by increasing the logistic efficiency. Moreover, incorporating maximum harvesting opening size constraints into planning can help preserve biodiversity.

This article presents a new spatial harvest scheduling model based on the integer programming method; it was developed using real data from a forest production unit located in the northern part of the southeast region of Brazil. The goal of the proposed scheduling approach is to maximize the net present value and concentrate the harvesting locations in each period. In spite of the fact that the object of the study is plantation forest under management different to common conditions in Europe or North America, the model is flexible and can be used in management of forest in Central Europe.

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Time usage and efficiency of machinery during stump crushing

disturbance and root breakage diameter. Silva Fennica 49(5): 1–17. DOI 10.14214/sf.1312. Bergström D., Matisons M. (ed.) 2014. Forest Refine, 2012-2014: efficient forest biomass supply chain management for biorefineries: synthesis report. Umeå, SLU, Uppsala, 1–113. Botwin M. 1993. Podstawy użytkowania maszyn leśnych, Warszawa, Wydawnictwo SGGW, 120 s. ISBN 83-00-02777-7. Eriksson A., Eliasson L. 2015. Analyzing machine concepts and delivery strategies to cut delivery costs for forest fuels using a discrete-event simulation model. Proceedings of the 2015

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Evaluation of Biomass Availability for Biogas Production at Regional Level

States: An Overview // Biomass and Bioenergy . - Vol.6 (1994), P.161-173. Schmidt D., Downing M., Volk T. Development of New Generation Cooperatives in Agriculture for Renewable Energy Research, Development, and Demonstration Projects // Biomass and Bioenergy . - Vol.28 (2005), P.425-434. Sokhansanj S., Turhollow A., Wilkerson E. Development of the Integrated Biomass Supply analysis and Logistics Model (IBSAL) // Biomass and Bioenergy. Article in Press (2008), P.10. Biomass as Feedstock for

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Variability of energy woodchips and their economic effects

]. Mobini M., Sowlati T., Sokhansanj S. 2011. Forest biomass supply logistics for a power plant using the discrete- event simulation approach. Applied Energy, 88, 1241-1250. DOI:10.1016/j.apenergy.2010.10.016 Phanphanich M., Mani S. 2009. Drying of pine residues. BioResources, 5 (1), 108-121. Phanphanich M., Mani S. 2011. Impact of torrefaction on the grindability and fuel characteristics of forest biomass. Bioresource Technology, 102 (2), 1246-1253. DOI:10.1016/j.biortech.2010.08.028 Pieriegud J. 2015. Polski rynek usług

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Agribusinesses and Agroenergy: A Model of Change in Agriculture

sociali, Nuova Serie, Numero Speciale “Territorial Intelligence” n.1. 15. Ente nazionale meccanizzazione Agricola Enama (2012) “Bio-massa ed energia” 16. ERICSSON, K. - NILSSON, L. J. (2006) “Assessment of the potential biomass supply in Europe using a resource-focused approach” Biomass and Bioenergy Vol. 30 Issue 1. 17. FERRARA, G. (2008) “Impresa Agricola e produzione di ener-gia” in Agricoltura Istituzioni e Mercati 2008. 18. FERRUCCI (2007) “Produzione di Energia da fonte biologica rinnovabile (quadro normativo)” in Dir. Diritto Agrario 2007. 19. FOUQUETA

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Sustainable wood waste management in Nigeria

Department of Forest, Secretariat, Chief Forestry Officer, Ibadan. Bais A.L.S., Lauk C., Kastner T., Erb K. 2015. Global patterns and trends of wood harvest and use between 1990 and 2010. Ecol. Econ., 119: 326-337. Bowyer J.L., Smith R.L. 1998. Nature of wood and wood products. Forest Management Development Inst., Univ. Minnesota, Self-Study Educational CD-ROM, St. Paul, Minnesota, USA. Cambero C., Sowlati T. 2014. Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives

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Production of Fish Feed and Fish Oil from Waste Biomass Using Microorganisms: Overview of Methods Analyzing Resource Availability

: 10.1145/167293.167941 [69] Benock G., Loewer O. J., Bridges Jr. T., Loewer D. H. Grain flow restrictions in harvesting-delivery drying systems. Transactions of the ASAE 1981:24(5):1151-61. doi: 10.13031/2013.34412 [70] Sokhansanj S., Kumar A., Turhollow A. F. Development and implementation of integrated biomass supply analysis and logistics model (IBSAL). Biomass & Bioenergy 2006:30:838-847. doi: 10.1016/j.biombioe.2006.04.004 [71] Ebadian M., Sowlati T., Sokhansanj S., Townley-Smith L., Stumborg M. Modeling and

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