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Uses of industrial energy benchmarking with reference to the pulp and paper industries

期刊

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 95, 期 -, 页码 23-37

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2018.06.019

关键词

Paper and pulp industry; Energy benchmarking; Comparisons of industry benchmarks, energy saving technology in paper making

资金

  1. Centre for Industrial Energy, Materials and Products (CIE-MAP) a UK industrial energy demand reduction centre - Engineering and Physical Sciences Research Council (EPSRC) [EP/N022645/1]
  2. EPSRC [EP/N022645/1] Funding Source: UKRI

向作者/读者索取更多资源

Plant operators and policy makers frequently use energy benchmarking to assess the potential for reducing energy consumption from industrial plants. As benchmarking studies require considerable resources and the cooperation of plant operators it is tempting to try to merge or compare data from different studies. This paper reviews published benchmarks and energy-saving estimates from the paper and pulp industries to explore how comparable data from independent studies are. A literature review was conducted which identified that benchmarks were either produced through a top-down process using annual production and fuel consumption data or through a bottom-up process from process-level data. It was concluded that top-down benchmarks are useful in measuring national trends but are of little value to individual plants. For common process such as Kraft pulp production it is possible to compare values from different studies but only if sufficient information is given in the original studies to confirm that their scope is identical. However, it is unlikely that improvement rates in energy use can be inferred from the difference between studies that use different sources, as the degree of disagreement between contemporary studies is of the same order as the identified potential energy savings. Benchmarking studies were found to provide good summaries of potential technological improvements although there is some inconsistency in estimations of potential impacts.

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