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A methodology for the assessment of multiple benefits of industrial energy efficiency measures

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Industrial energy efficiency measures are proving financially viable, but the implementation rate is stagnating. This results in the need to develop a comprehensive and standardized methodology to assess the multiple benefits of energy efficiency measures in an industrial context. However, a comprehensive methodology to assess the multiple benefits of energy efficiency measures are omitted. The methodology, as presented in this study, was developed and validated based on nine case studies performed between 2016 and 2018 in the Swiss industrial sector. The aim is to close this gap with the introduction of a three-phase standard methodology, applicable to a wide range of industrial processes and energy efficiency measures. The three phases are further split into individual steps, each pursuing a specific goal in order to facilitate the implementation of energy efficiency measures. The first phase, the delimitation, aims at defining the system boundaries of the considered industrial process(es). The second phase, the assessment, involves the identification, the quantification, and the monetization of multiple benefits, as well as the qualitative assessment of non-monetizable multiple benefits. The last phase, the evaluation, focusses on the integration of the obtained results into the financial valuation of the energy efficiency measure and, therefore, on the cash flow analysis and the determination of the payback time under consideration of the monetizable multiple benefits. The study has shown that the consideration of monetizable multiple benefits may reduce the payback time of energy efficiency measures by up to 40–85%.
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SN Applied Sciences (2020) 2:270 | https://doi.org/10.1007/s42452-020-2071-2
Research Article
A methodology fortheassessment ofmultiple benets ofindustrial
energy eciency measures
ClaasWagner1· MelissaObermeyer1· RichardLüchinger1
Received: 28 October 2019 / Accepted: 17 January 2020 / Published online: 25 January 2020
© Springer Nature Switzerland AG 2020
Abstract
Industrial energy eciency measures are proving nancially viable, but the implementation rate is stagnating. This
results in the need to develop a comprehensive and standardized methodology to assess the multiple benets of energy
eciency measures in an industrial context. However, a comprehensive methodology to assess the multiple benets
of energy eciency measures are omitted. The methodology, as presented in this study, was developed and validated
based on nine case studies performed between 2016 and 2018 in the Swiss industrial sector. The aim is to close this gap
with the introduction of a three-phase standard methodology, applicable to a wide range of industrial processes and
energy eciency measures. The three phases are further split into individual steps, each pursuing a specic goal in order
to facilitate the implementation of energy eciency measures. The rst phase, the delimitation, aims at dening the
system boundaries of the considered industrial process(es). The second phase, the assessment, involves the identication,
the quantication, and the monetization of multiple benets, as well as the qualitative assessment of non-monetizable
multiple benets. The last phase, the evaluation, focusses on the integration of the obtained results into the nancial
valuation of the energy eciency measure and, therefore, on the cash ow analysis and the determination of the payback
time under consideration of the monetizable multiple benets. The study has shown that the consideration of monetiz-
able multiple benets may reduce the payback time of energy eciency measures by up to 40–85%.
Keywords Non-energy benets· Multiple benets· Energy eciency measures· Full-cost analysis· Industrial processes
Abbreviations
CO2 Carbon dioxide
EEM Energy eciency measure
EU European Union
KPI Key performance indicator
MB Multiple benets
SCCER—EIP Swiss Competence Centres for Energy
Research—Eciency of Industrial
Processes
CCPE Competence Center Power Economy
IEA International Energy Agency
Euro
€/a Euro per year
kWh Kilowatt-hours
kWh/a Kilowatt-hours per year
MWh Megawatt-hours
MWh Megawatt-hours per year
t Ton
t/a Tons per year
1 Introduction
In Switzerland, the energy demand of the industrial and
the service sector accounts for approximately 40% of the
total energy demand. The Swiss Federal Council plans to
reduce energy consumption by 20% and the CO2 emis-
sions by 40% until 2050. To support the achievement of
* Claas Wagner, claas.wagner@hslu.ch | 1Institute forInnovation andTechnology Management, Lucerne University ofApplied Sciences
andArts, Lucerne, Switzerland.
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... M [59,[202][203][204] •Set up & micro-stoppages Average time required to prepare a system (or machine, or equipment) for its next run after it has completed producing the last part of the previous run and minor stops occurring due to temporary problems. ...
... M [8,13,204,207,[213][214][215][216][217]17,21,37,59,91,199,201,203] •Defective rate Percentage of outputs that fails to meet a quality target but can be reworked over the total inspected parts. ...
... M [8,21,210,[213][214][215][216][217][218]37,59,91,199,201,203,204,207] •Scrap rate Percentage of outputs that fails to meet a quality target and get wasted over the total inspected parts. ...
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... In addition, most studies in the field of energy efficiency deal with manufacturing non-SME companies (Finster and Hernke, 2014;Stefana et al., 2019;Andrews and Johnson, 2016;Backlund et al., 2012;Brunke et al., 2014;Cagno et al., 2019;Chiaroni et al., 2016;Cooremans, 2012;Costa-Campi et al., 2015;del Río González, 2005;Fawcett and Hampton, 2020;Fiedler and Mircea, 2012;Fleiter et al., 2012a;Fleiter et al., 2011;Hampton, 2019;Haq and Jacobsen, 2018;Hasan et al., 2019;Henriques and Catarino, 2016;Hertel and Menrad, 2016;Hoyer et al., 2020;Kinelski, 2020;König, 2020;Mickovic and Wouters, 2020;Morais et al., 2020;Olsthoorn et al., 2017;Perroni et al., 2017;Phylipsen et al., 1997;Ponomareva et al., 2019;Pye and McKane, 2000;Rohdin and Thollander, 2006;Sa et al., 2015;Safarzadeh et al., 2020;Sardianou, 2008;Schlomann and Schleich, 2015;Schulze et al., 2018;Shinkevich et al., 2020;Soepardi et al., 2019;Stephenson et al., 2015;Stephenson et al., 2010;Sudhakara Reddy, 2013;Thollander, 2010;Thollander et al., 2013;Thollander et al., 2007;Thollander and Ottosson, 2008;Trianni et al., 2014a;Trianni et al., 2017;Wagner et al., 2020;Wakabayashi and Arimura, 2020;Williams and McKane, 2013;Wohlfarth et al., 2018;Wolniak et al., 2020;Zierler et al., 2017). Smaller companies should not be ignored, however, as they exist in greater numbers overall than larger companies and the total potential of all smaller companies is enormous. ...
... • Most studies deal only with manufacturing and production companies (Phylipsen et al., 1997;Allarton, 2016;Anderson and Newell, 2004;Bell et al., 2014;Catarino et al., 2015;Chen et al., 2020;Chiaroni et al., 2016;del Río González, 2005;Costa-Campi et al., 2015;Finster and Hernke, 2014;Fleiter et al., 2012a;Fleiter et al., 2011;Hasan et al., 2019;Henriques and Catarino, 2016;Hertel and Menrad, 2016;Wolniak et al., 2020;Thollander et al., 2007;Mickovic and Wouters, 2020;Morais et al., 2020;Palm and Thollander, 2010;Parker et al., 2009;Ponomareva et al., 2019;Rohdin and Thollander, 2006;Soepardi et al., 2019;Solberg Hjorth and Brem, 2016;Thiede et al., 2012;Thiede et al., 2013;Thollander et al., 2013;Thollander and Ottosson, 2008;Trianni et al., 2014a;Williams and McKane, 2013;Wagner et al., 2020;Trianni et al., 2017). These are often energyintensive. ...
... • When it comes to data collection, more experts could go into companies and do on-site collection and assessment (Hilger et al., 2018;König, 2020;Palm and Backman, 2020;Wagner et al., 2020). • Many studies that previously focused on manufacturing companies can be extended to other industries. ...
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... In this case, the company's market share will grow considerably leaner-from 20% in 2018 to 24% by 2021. The acquired estimates do not contradict the results of the study [83], which concludes that the consideration of monetized multiple benefits can reduce the payback time of measures to increase energy efficiency by 40%-85%. There is no contradiction to the results of the study [130], which substantiates the position that investments in energy efficiency improvement significantly affect the growth and competitiveness of medium and small enterprises. ...
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... In the literature, there are several studies investigating the barriers of implementing energy efficiency measures in SMEs [10,[15][16][17][18][19][20][21][22][23], as well as the benefits resulting from the application of energy management techniques [24][25][26][27][28]. Additionally, some studies present projects promoting energy efficiency in SMEs [11,14], while a few others propose specific measures to improve their energy efficiency [29][30][31]. ...
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