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Long-term planning methodology for improving wood biomass utilization

机译:改善木材生物质利用的长期规划方法

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The insufficiently developed forest management system is often followed by undeveloped forest resources supply chain and insufficient institutional support. These cause inefficient usage of fuel-wood as well as huge amounts of unused forest residues. In order to achieve optimal and long-term sustainable utilisation of biomass, an original methodology based on the interaction of mathematical optimization and backcasting approach has been developed.Mathematical optimization is used for both generation and consideration of techno-economic parameters of the forest biomass supply chain. Besides, backcasting allows generating solutions by involving stakeholders (considering ecological and social components).The methodology has been applied on a case study of maximization of forest residues utilisation at one municipality in Serbia. The possibilities of its utilisation under current conditions are minimal and the obstacles for significant biomass utilisation have been defined.Using the methodology, desired future and criteria (ecological acceptability, economical acceptability and reliability) that could be satisfied by desired future have been determined. Drivers and key uncertainties (political will and economic situation) to achieve the desired future have been also specified. Pathways and necessary changes have been developed in order to achieve a desirable future, which should provide maximal utilisation of available biomass. (C) 2019 Elsevier Ltd. All rights reserved.
机译:森林管理体系发展不完善通常会伴随着森林资源供应链不发达和机构支持不足。这些导致薪柴使用效率低下以及大量未使用的森林残留物。为了实现生物量的最佳和长期可持续利用,开发了一种基于数学优化和后推法相互作用的原始方法,将数学优化用于生成和考虑森林生物量供应的技术经济参数链。此外,反向播报可以通过让利益相关者参与(考虑到生态和社会组成部分)来产生解决方案。该方法已被用于塞尔维亚一个城市最大程度利用森林残留物的案例研究。在当前条件下其利用的可能性极小,并且已经为生物质的大量利用确定了障碍。通过使用该方法学,确定了希望的未来以及可以满足希望的未来条件的标准(生态可接受性,经济可接受性和可靠性)。还规定了实现预期未来的驱动因素和主要不确定性(政治意愿和经济状况)。为了实现理想的未来,已经开发了途径和必要的改变,这应该提供可用生物量的最大利用。 (C)2019 Elsevier Ltd.保留所有权利。

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