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A method and databases for estimating detailed industrial waste generation at different scales - With application to biogas industry development

机译:一种估算不同规模详细工业废弃物产生量的方法和数据库-在沼气工业发展中的应用

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摘要

In this study, a top-down method for constructing databases of industrial waste generation profiles is presented. The method employs routinely reported statistical data for economic activities, which enables simple data acquisition and ensures capture of changes in production processes and waste generation. Quantified waste generation profiles following the EWC-stat nomenclature for 42 waste types were compiled into two EU databases, one for 12 sectors and the other for more than 200 industries. These were complimented with quantified factors on waste generation per employee for each sector. The relationship between amounts of waste generated and number of employees has been confirmed for each sector with statistical tests; this can be used to estimate waste quantities in other scenarios. The databases employ standard EU economic and waste nomenclatures, which are also similar to those used worldwide. Potential use scenarios include: evaluation of different geographic boundaries, such as industrial park, municipal, regional or national level; focus on expected types and quantities of waste generated by particular sectors and industries; or targeting particular types of wastes, the economic activities that produce them and the quantities generated. The latter scenario is illustrated in this paper by exploring potential for industrial symbiosis where waste streams from bio-based industries are used to produce biogas in the Vastra Gotaland region of Sweden. The developed method and databases could support the implementation of circular economy policies, including industrial symbiosis. (C) 2019 Published by Elsevier Ltd.
机译:在这项研究中,提出了一种自上而下的方法来构建工业废物产生概况数据库。该方法将常规报告的统计数据用于经济活动,从而可以简单地获取数据并确保捕获生产过程和废物产生的变化。根据42种废物的EWC-Stat命名法,将量化的废物产生概况汇编成两个欧盟数据库,一个数据库用于12个行业,另一个数据库用于200多个行业。这些补充了每个部门每个雇员产生的废物的量化因素。已经通过统计测试确认了每个部门的废物产生量与雇员人数之间的关系;在其他情况下,可用于估算废物数量。该数据库采用标准的欧盟经济和废物术语,与世界范围内使用的术语相似。潜在的使用场景包括:评估不同的地理边界,例如工业园区,市政,区域或国家级别;关注特定部门和行业产生的废物的预期类型和数量;或针对特定类型的废物,产生这些废物的经济活动以及产生的数量。本文通过探索工业共生的潜力来说明后一种情况,在该产业中,来自生物产业的废物流被用于瑞典的Vastra Gotaland地区,以生产沼气。开发的方法和数据库可以支持循环经济政策的实施,包括工业共生。 (C)2019由Elsevier Ltd.发布

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