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首页> 外文会议>European biomass conference and exhibition;ETA-Florence Renewable Energies >OPTIMIZING THE LOCATION OF FOREST BIOMASS-BASED CHP PRODUCTION PLANTS IN FINLAND
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OPTIMIZING THE LOCATION OF FOREST BIOMASS-BASED CHP PRODUCTION PLANTS IN FINLAND

机译：优化芬兰基于森林生物质的热电联产生产厂的位置

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摘要

As a forest resource rich country (73% of total land area) and a pioneer in forest technology, Finlandrnhas a long standing tradition of utilizing forest biomass for bioenergy production. The National Renewable ActionrnPlan 2010 strives to increase the present consumption of forest chips from 6 million m~3 to 13.5 million m~3 (97 PJ) byrn2020, mainly for combined heat and power (CHP) production and separate heat production. In 2013, the forest chiprnconsumption was 8.7 million m~3. To achieve, 2020 target of forest chip consumption, Finland would still need eitherrn8 new CHP production plants (200 Mwbio) or increase the share of wood chip consumption at the existing plantsrn(e.g., co-firing, boiler substitution, peat replaced by wood chips). The aim of this study is to apply a Mixed IntegerrnLinear Programming model to optimize the 8 new CHP plant locations and production configurations by minimizingrnthe entire costs and emissions of supply chain with respect to biomass resource availability, energy demand andrnexisting industrial competition. The model results also present the feedstock resource allocation strategy with regardsrnon the parameter sensitivity (e.g., less forest harvesting, price increase). Logging residues (92% biomass share) andrnsawmill residuals (8% biomass share) would be the favorite feedstock choice under current market situation.rnSubsidy for young thinning wood is essential for energy wood supply in future as well.
机译：作为一个森林资源丰富的国家（占土地总面积的73％）和森林技术的先驱，芬兰拥有将森林生物质用于生物能源生产的悠久传统。 《 2010年国家可再生能源行动计划》力争到2020年将林木屑的当前消费量从600万立方米增加到1350万立方米（97 PJ），主要用于热电联产和独立热力生产。 2013年，森林碎屑消费量为870万立方米3。为实现2020年森林碎片消费的目标，芬兰仍将需要8个新的热电联产生产厂（200 Mwbio）或增加现有工厂中的木屑消费份额（例如，共烧，锅炉替代，用木屑代替泥炭） ）。这项研究的目的是应用混合整数线性规划模型，以通过最大程度地减少与生物质资源可利用性，能源需求和不存在的产业竞争有关的供应链的整体成本和排放，来优化8个新的热电联产工厂的位置和生产配置。模型结果还提出了与参数敏感性有关的原料资源分配策略（例如，较少的森林采伐，价格上涨）。在当前市场形势下，伐木残渣（占生物质份额92％）和锯木厂残渣（占生物质份额8％）将是首选原料。rn对于年轻的间伐木材的补贴对于将来的能源木材供应也是必不可少的。

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