2003
DOI: 10.1260/095830503322663410
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Technical Efficiency Measures as a Tool for Energy Benchmarking in Industry?

Abstract: Energy benchmarking is a practical management tool to evaluate and improve the energy performance of an industrial firm, possibly revealing considerable potentials for energy savings and for reduction of emissions to the atmosphere and biosphere. Existing energy metrics used for energy benchmarking however are strictly limited to measuring energy efficiency, completely disregarding positive or negative effects energy savings may have on other environmental pressures (use of depletable resources other than ener… Show more

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Cited by 8 publications
(2 citation statements)
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“…One peculiar aspect of the EU CHP Directive is the adoption of external benchmarking as the basic method for qualifying the outputs of CHP plants. Generally benchmarking is 'the continuous, systematic process of comparing the current level of own performance against a predefined point of reference, the benchmark, in order to evaluate and improve the own performance' [2]. The choice of benchmark is crucial because the own performance is measured as a 'distance-to-targets' with the benchmark characteristics as targets, and because the own activity is changed to resemble the benchmark as much as possible.…”
Section: Incentive Regulationmentioning
confidence: 99%
“…One peculiar aspect of the EU CHP Directive is the adoption of external benchmarking as the basic method for qualifying the outputs of CHP plants. Generally benchmarking is 'the continuous, systematic process of comparing the current level of own performance against a predefined point of reference, the benchmark, in order to evaluate and improve the own performance' [2]. The choice of benchmark is crucial because the own performance is measured as a 'distance-to-targets' with the benchmark characteristics as targets, and because the own activity is changed to resemble the benchmark as much as possible.…”
Section: Incentive Regulationmentioning
confidence: 99%
“…Discriminating the DMUs based on their performance is tedious when there are scads of input variables and output variables compared with a set of DMUs. It is available in the literature that twice the total number of both input and varibales should be less than the total number of DMUs [20]. Boussofiane proposed the correlation methodology for selecting the inputs and outputs, which is one of the possible ways to reduce their number [5].Bayrak proposed fractional factorial design to find an optimal input-output combination [18].…”
Section: Introductionmentioning
confidence: 99%