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

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

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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Optimization methods applied to renewable and sustainable energy: A review

TL;DR: A review of the current state of the art in computational optimization methods applied to renewable and sustainable energy can be found in this article, which offers a clear vision of the latest research advances in this field.
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ELECTRE: A comprehensive literature review on methodologies and applications

TL;DR: The aim is to investigate how ELECTRE and ELECTRE-based methods have been considered in various areas, including area of applications, modifications to the methods, comparisons with other methods, and general studies of the ELECTRE methods.
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A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency

TL;DR: In this article, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency, where the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes.
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A literature study for DEA applied to energy and environment

TL;DR: In this article, the authors summarized previous research efforts on Data Envelopment Analysis (DEA) applied to energy and environment in the past four decades, including concepts and methodologies on DEA environmental assessment.
References
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Weight-restricted DEA in action: from expert opinions to mathematical models

TL;DR: Comparing various weight restriction schemes with real data suggests that the ability to consider and include preference information in DEA adds important insights into the analysis.

IRIS - Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (Version 2.0) User Manual

TL;DR: In this paper, the authors present IRIS - Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (Version 2), a decision support software that supports the assignment of actions (alternatives, projects, candidates) described by their evaluation (performance) at multiple dimensions (criteria) to a set of predefined ordered categories.
Journal ArticleDOI

Multicriteria Decision Aid to support Multilateral Environmental Agreements in assessing international forestry projects

TL;DR: In this article, the authors describe how they have assessed synergies between the Rio Conventions at the project level in the forest sector, using the ELECTRE TRI model to quantify the performance of afforestation and reforestation projects.
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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