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Open AccessJournal ArticleDOI

Assessing the performance of biogas plants with multi-criteria and data envelopment analysis

Reinhard Madlener, +2 more
- 16 Sep 2009 - 
- Vol. 197, Iss: 3, pp 1084-1094
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TLDR
An assessment of 41 agricultural biogas plants located in Austria to determine their relative performance in terms of economic, environmental, and social criteria and corresponding indicators suggests that MCDA, and the use of IRIS in particular, constitutes a useful approach that can be applied in a complementary way to DEA.
About: 
This article is published in European Journal of Operational Research.The article was published on 2009-09-16 and is currently open access. It has received 128 citations till now. The article focuses on the topics: Data envelopment analysis & Multiple-criteria decision analysis.

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A state-of-the-art review on multi-attribute renewable energy decision making

Esra Ilbahar, +3 more
- 01 Aug 2019 - 
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A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies

José Ramón San Cristóbal
- 01 Oct 2011 - 
TL;DR: In this article, the efficiency of 13 renewable energy technologies is evaluated through a Multiple Criteria Data Envelopment Analysis (MCDEA) model and two additional criterion, the minsum and minimax criterion, are included in the model which are the most restrictive than that defined in the classical DEA.
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Modified PROMETHEE approach for assessing energy technologies

Julia Oberschmidt, +3 more
- 29 Jun 2010 - 
TL;DR: In this paper, a multi-criteria methodology for the performance assessment of energy supply technologies, which also takes into account the dynamics of technological change, is presented, and evaluated by evaluating heat and power supply alternatives for a municipal area in Germany.
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Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis

Kyung-Taek Kim, +4 more
- 01 Jul 2015 - 
TL;DR: In this paper, the authors evaluated the investment efficiency of three renewable energy technologies (i.e., wind power, photovoltaic, and fuel cells) with the DEA (data envelopment analysis) method.
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Decision support models in climate policy

Haris Doukas, +1 more
- 01 Jan 2020 - 
TL;DR: A critical review of decision support frameworks—namely Portfolio Analysis, Multiple Criteria Decision Making and Fuzzy Cognitive Maps—is provided, and a new integrative approach, appropriately exploiting blends of these frameworks, is proposed to productively complement IAMs, towards enhancing climate policy support.
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

Abraham Charnes, +2 more
- 01 Nov 1978 - 
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI

Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis

Rajiv D. Banker, +2 more
- 01 Sep 1984 - 
TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
Book

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

William W. Cooper, +2 more
TL;DR: In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.
Book

Exergy: Energy, Environment and Sustainable Development

Ibrahim Dincer, +1 more
TL;DR: In this article, the authors deal with exergy and its applications to various energy systems and applications as a potential tool for design, analysis and optimization, and its role in minimizing and/or eliminating environmental impacts and providing sustainable development.
Journal ArticleDOI

Review on multi-criteria decision analysis aid in sustainable energy decision-making

Jiangjiang Wang, +3 more
- 01 Dec 2009 - 
TL;DR: In this article, the authors reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation.
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Measuring the efficiency of decision making units

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Review on multi-criteria decision analysis aid in sustainable energy decision-making

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- 01 Dec 2009 - 

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Frequently Asked Questions (1)
Q1. What are the contributions in "Assessing the performance of biogas plants with multi-criteria and data envelopment analysis" ?

This paper performs an assessment of 41 agricultural biogas plants located in Austria to determine their relative performance in terms of economic, environmental, and social criteria and corresponding indicators. To be able to use IRIS while keeping the spirit behind DEA, the evaluation criteria were defined as different output/input efficiency ratios, and no information about criteria weights was introduced at the outset. The results suggest that MCDA, and the use of IRIS in particular, constitutes a useful approach that can be applied in a complementary way to