2023
DOI: 10.54337/ijsepm.7335
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Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Abstract: In today’s scenario of increasing energy prices, new legislations, and rising consumer concerns regarding environmental issues, industries face an unprecedented challenge of reducing their energy consumption without negatively impacting their profit and productivity. Based on this, companies are focusing on analyzing their energy efficiency, which has various criteria to be considered, and at least three organizational levels. To close this gap, this study developed an Industrial energy efficiency assessment a… Show more

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Cited by 4 publications
(4 citation statements)
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“…PROMETHEE has been widely used to solve MCDM problems for decades, whose application areas are very diversified such as management (Kilic et al, 2015;Xu & Ouenniche, 2012), water resources (Mutikanga et al, 2011;Simon et al, 2004), energy (Andreopoulou et al, 2018;Angilella & Pappalardo, 2021;Cavallaro, 2009;Doukas et al, 2006;Richter et al, 2023;Topcu & Ulengin, 2004), supply chain…”
Section: Methods Used For Hybrid Multi-criteria Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…PROMETHEE has been widely used to solve MCDM problems for decades, whose application areas are very diversified such as management (Kilic et al, 2015;Xu & Ouenniche, 2012), water resources (Mutikanga et al, 2011;Simon et al, 2004), energy (Andreopoulou et al, 2018;Angilella & Pappalardo, 2021;Cavallaro, 2009;Doukas et al, 2006;Richter et al, 2023;Topcu & Ulengin, 2004), supply chain…”
Section: Methods Used For Hybrid Multi-criteria Analysismentioning
confidence: 99%
“…PROMETHEE has been widely used to solve MCDM problems for decades, whose application areas are very diversified such as management (Kilic et al, 2015; Xu & Ouenniche, 2012), water resources (Mutikanga et al, 2011; Simon et al, 2004), energy (Andreopoulou et al, 2018; Angilella & Pappalardo, 2021; Cavallaro, 2009; Doukas et al, 2006; Richter et al, 2023; Topcu & Ulengin, 2004), supply chain (Abdullah et al, 2019; Dulmin & Mininno, 2003; Safari et al, 2012; Wang & Yang, 2007), health care (Amaral & Costa, 2014), finance (Albadvi et al, 2007; Bouri et al, 2002; Hababou & Martel, 1998; Mousavi & Lin, 2020), technology (Balkan & Akyüz, 2023), construction (Balali et al, 2014; Morkunaite et al, 2019; Polat, 2016), manufacturing (Anand & Kodali, 2008; Govindan et al, 2015; Vinodh & Girubha, 2012), mining (Abedi et al, 2012; Balusa & Singam, 2018; Bogdanovic et al, 2012), environment (Al‐Rashdan et al, 1999; Kapepula et al, 2007; Vego et al, 2008), material (Javaid et al, 2023; Maity & Chakraborty, 2015), and tourism (Lopes et al, 2018).…”
Section: Research Instrumentsmentioning
confidence: 99%
“…Richter et al [12] probe into industrial energy savings as an important element in the energy transition. The authors studied energy efficiency measures, applied multi-criteria assessment for the prioritisation and developed a tool for these PROMETHEE II, which was subsequently applied to a case company.…”
Section: Contentsmentioning
confidence: 99%
“…The reports of intergovernmental organizations and those of representatives of the authorities responsible for EnEff issues are of the most importance, taking into account the level of elaboration of the material. Among the authors of scientific works on the topic of this study, it should be noted: Karasek A. et al evaluate the EnEff of the countries of the European Union (EU) using data coverage analysis (DEA) [10]; Patterson M. et al analyze the practice of assessing industrial energy and discuss the need to take into account decarbonization trends through electrification and renewable energy in industry [11]; Richter B. et al offer a model for assessing EnEff and setting priorities in industry based on the PROMETHEE multi-criteria method [12]; Wang Y. et al conduct research compiling data on environmental friendliness and EnEff in the context of "green" design and the construction of facilities [13][14][15]; Luo S. et al analyze the relationship between the energy consumption of enterprises and greenhouse emissions [16,17].…”
Section: Introductionmentioning
confidence: 99%