Modified PROMETHEE approach for assessing energy technologies

Oberschmidt, Julia; Geldermann, Jutta; Ludwig, Jens; Schmehl, Meike

doi:10.1108/17506221011058696

Cited by 88 publications

(45 citation statements)

References 89 publications

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“…In recent years, due to increasing energy demand, the use of renewable energy technologies has grown dramatically, therefore some of the previous studies have investigated the role of these technologies in different perspectives of energy issues with various techniques of MCDM. For example: Luthra, et al [76] identified the barriers for adoption of renewable and sustainable technologies in India by using the analytic hierarchy process (AHP) technique; Streimikiene, et al [77], ranked and selected some sustainable electricity production technologies by integration of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and MOORA plus Full Multiplicative form (MULTIMOORA) techniques; van de Kaa, et al [78] used the fuzzy MCDM method, fuzzy AHP, for choosing the photovoltaic technologies; Shen, et al [79], with concerns of policy and technology, evaluated renewable energy resources exploiting by application of fuzzy AHP; Zhao and Guo [80] applied superiority linguistic ratings, fuzzy grey relation analysis and the entropy weighting method for assessment of the external benefits of renewable energy power in China; Zhao and Guo [81] also integrated fuzzy entropy and TOPSIS for choosing a thermal power equipment supplier; Stein [82] proposed a novel approach for ranking of several renewable and non-renewable technologies related to electricity production; Doukas, et al [83] presented flexible and direct MCDM methods though linguistic variables for ranking of sustainable technological energy; Balezentiene, et al [84] used fuzzy MULTIMOORA for ranking of sustainable energy crops; Oberschmidt, et al [85] elaborated the Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE) technique for evaluation of performance in energy supply technologies and applied the AHP technique for electricity generation based on some renewable energy alternatives such as solar photovoltaic, wind energy, biomass and solar thermal in Pakistan; Zangeneh, et al [86] proposed a model for evaluation and ranking of distributed technologies in Iran; Ren, et al [87] employed fuzzy MCDM (FMCDM) for assessment and ranking sustainability of biomass-based hydrogen technologies; and Troldborg, et al [88] proposed a multi criteria analysis for evaluation and ranking of renewable energy technologies in Scotland.…”

Section: Role Of Decision Making Techniques and Approaches In Sustainmentioning

confidence: 99%

Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches

et al. 2015

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The main purpose of this paper is to present a systematic review of MCDM techniques and approaches in sustainable and renewable energy systems problems. This study reviewed a total of 54 papers published from 2003-2015 in more than 20 high-ranking journals, most related to sustainable and renewable energies, and which were extracted from the Web of Science database. In the category of application areas, papers were classified into two main groups: (1) sustainable energy and (2) renewable energy. Furthermore, in the classification of techniques and approaches, the papers were categorized into six groups: (1) AHP and F-AHP; (2) ANP and VIKOR; (3) TOPSIS and F-TOPSIS; (4) PROMETHEE; (5) integrated methods and (6) other methods. In addition, papers were reviewed based on the authors' nationalities, the publication date, techniques and approaches, the name of journal and studies criteria. The results of this study indicated that, in 2015, scholars have published more papers than in other years. Furthermore, AHP/fuzzy AHP and integrated methods were ranked as the first rank, with 14 papers.

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Section: Role Of Decision Making Techniques and Approaches In Sustainmentioning

confidence: 99%

Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches

et al. 2015

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“…Oberschmidt et al [36] also applied the PROMETHEE method for technology selection. In this study various alternatives for provision of heat and power in a municipality in Germany were compared.…”

Section: Elimitation Et Choix Tradusant La Realité (Electre -Eliminatmentioning

confidence: 99%

A review of multi-criteria decision-making methods for bioenergy systems

Scott¹,

Ho²,

Dey³

2012

Energy

170

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Bioenergy schemes are multi-faceted and complex by nature, with many available raw material supplies and technical options and a diverse set of stakeholders holding a raft of conflicting opinions. To develop and operate a successful scheme there are many requirements that should be considered and satisfied. This paper provides a review of those academic works attempting to deal with problems arising within the bioenergy sector using multi-criteria decision-making (MCDM) methods. These methods are particularly suitable to bioenergy given its multifaceted nature but could be equally relevant to other energy conversion technologies. Related articles appearing in the international journals from 2000 to 2010 are gathered and analysed so that the following two questions can be answered. (i) Which methods are the most popular? (ii) Which problems attract the most attention? The review finds that optimization methods are most popular with methods choosing between few alternatives being used in 44% of reviewed papers and methods choosing between many alternatives being used in 28%. The most popular application area was to technology selection with 27% of reviewed papers followed by policy decisions with 18%.

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“…The PROMETHEE methods are one of the best known and most popular outranking approaches used in sustainable energy planning [65]. They have a number of features that are not available in other MCA methods such as the AHP, ELECTRE or TOPSIS [66].…”

Section: Proposed Conceptual Frameworkmentioning

confidence: 99%

Multi-Criteria Analysis of Electric Vans for City Logistics

et al. 2017

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Atmospheric emissions of anthropogenic origin are one of the most important problems in cities. A particularly discrete ecological footprint in urban environment is made by urban freight transport. This problem has become the key challenge for all stakeholder groups involved in freight transport in urban areas. Over the recent years, there has been a growing interest in using alternative fuel vehicles in urban logistics, including those equipped with electric drive systems. This paper presents a multi-criteria analysis (MCA) of selected electric vehicles (EVs) in the context of their application for the purposes of deliveries in cities. In methodological terms, we present a unique MCA-based approach for evaluation of Electric Freight Vehicles (EFVs). A successful attempt is made to build a multistep MCA procedure based on two carefully selected MCDA methods (PROMETHEE II and fuzzy TOPSIS) to handle both certain and uncertain data sets in a single decision process. In practical terms, we successfully demonstrate the usefulness of the proposed approach by creating a set of decision maker's preference models (based on certain and uncertain data) of carefully selected EFVs and provide sensitivity and robustness analyses of the obtained solutions.

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Modified PROMETHEE approach for assessing energy technologies

Cited by 88 publications

References 89 publications

Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches

Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches

A review of multi-criteria decision-making methods for bioenergy systems

Multi-Criteria Analysis of Electric Vans for City Logistics

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