An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey☆
Introduction
Electricity demand is increasing proportional to population growth, industrialization and urbanization across the world. Under business as usual scenarios, the demand for energy is expected to increase globally while fossil fuel sources are dwindling, energy prices increasing and environmental issues such as climate change are becoming more relevant. In parallel to these, as a developing country the energy need of Turkey has been rising continuously and energy shortages becoming a threat for next decades (Iskin et al., 2012, Kaya and Kahraman, 2010). The necessity to optimize the planning and the usage of energy resources has been an increasingly important issue (Xydis, 2013). With limited funds, governmental, public, private and institutional investors engage in a crucial role for future sustainable developments (Lee and Zhong, 2014). For these reasons, low cost, clean and secure energy supply is a common and fundamental issue for sustainable energy resources (Trappey et al., 2013). Under these circumstances, the selection of suitable energy generation alternatives becomes crucial, also for energy investments in Turkey. Development of energy sources in Turkey in a clean and sustainable way can be a viable option to eliminate the dependency on depleting fossil fuels and also to minimize the related negative environmental impacts, where renewable energy resources (RER) are being considered as an alternative.
One of the aims of this research is to identify relevant decision criteria and sub-criteria that are important to the RER selection problem from an investor’s perspective. The other one is to propose an integrated framework that can be used to evaluate and choose the most appropriate RER for Turkey.
The use of multi criteria decision making (MCDM) techniques for energy investment planning, including RER, has since long attracted the interest of decision makers (DMs – experts). In the 1970s, it was more popular to treat energy problems as a search towards the most efficient supply options with an economical focus with minimum costs. Environmental awareness in the 1980s changed these views and opinions, as people realized the accompanying environmental and social considerations of energy investments, which gave way to the use of MCDM. When it comes to environmental and social issues, both qualitative and quantitative factors have to be considered in the decision process. Therefore, in literature, many attempts have been reported that incorporate MCDM approaches into the RER evaluation problem.
The model structure that is developed in this paper is a network hierarchy that can be used to evaluate various RER alternatives. For this purpose, the Analytic Network Process (ANP) (Saaty, 1996) technique is utilized, which can successfully handle dependencies among decision criteria. In order to extract the mutual relationships and strength of interdependencies among criteria, the Decision Making Trial and Evaluation Laboratory (DEMATEL) method (Gabus and Fontela, 1972) is used. In other words, the DEMATEL technique is introduced and combined with ANP in this study to make up for the equal weighting assumption of ANP and to explore the influential weights of the selected RER variables for forming an evaluation model. The proposed framework solves the previously encountered problems during the pair wise comparisons in ANP analysis and proposes a decision model that is able to deal with real world situations. In several studies, researchers have started to integrate these two techniques (such as; Büyüközkan and Öztürkcan, 2010; Chen et al., 2011; Hsu and Liou, 2013; Horng et al., 2014; Hu et al., 2014; Vujanović et al., 2012; Wu, 2008).
The main contributions of the paper are the development of an evaluation model from an investor perspective and the integration of DEMATEL and ANP methods for an effective RER selection problem. In literature, there are many studies which combine DEMATEL and ANP methods. In renewable energy sector, Azizi et al. (2014) integrated DEMATEL-ANP approaches in wind power plant selection. Nevertheless, there is no study so far in literature that combines these methods for the RER selection problem, nor in Turkey. This paper has originality not only for its evaluation methodology, but also for its use on a real case study in Turkey.
This article is organized in the following order. Section 2 introduces the theoretical background and the proposed model for the RER selection problem. Section 3 describes the methodology applied used in the calculation procedure. Section 4 includes an implementation of the introduced framework using a case study in Turkey and discussion of the obtained results. The final section concludes the paper.
Section snippets
Model development for effective RER selection
RER is defined as domestic resources which can provide energy with no or negligible emissions in terms of pollutants and greenhouse gases (Kahraman et al., 2010). RER (e.g. biomass, hydraulic, geothermal, solar and wind energy) are virtually inexhaustible and offer many environmental and economic benefits compared to traditional energy sources. In other words, each type of RER has its own special advantages that make it uniquely suited to certain applications in specific areas (Hepbasli, 2008).
Literature review of DEMATEL & ANP methodology
MCDM is one of the popular methods to deal with complicated problems that exhibit high uncertainty, clashing objectives, various interests and multiple perspectives (Pomerol and Barba-Romero, 2000). Besides, MCDM methodologies are effective in decision making, weighting and selecting the most appropriate alternatives.
As one of the many different MCDM methods, ANP introduced by Saaty (1996) is frequently used in literature. ANP is basically the extension of the well-known Analytic Hierarchy
Empirical case study – evaluation of RER in Turkey
Considering the complexity of energy related issues, many organizations make use of DMs instead of a single DM to accomplish the given tasks successfully. Group decision making (GDM) consists of a number of interacting individuals that provide their opinions to reach a common decision (Alonso et al., 2009, Büyüközkan and Feyzioğlu, 2004). Each DM may have his/her own motivations or objectives and may therefore see the decision-making process from another perspective. However, there exists a
Comparative validation
This section of the paper presents the comparison of the integrated DEMATEL-ANP outcome with ANP as well as a sensitivity analysis conducted on the variations of criteria weights.
Following the identification of the relationship structure using the DEMATEL methodology, in order to analyze the proposed integrated approach, only ANP method is used for calculating the priority of each alternative. With the help of Super Decisions software (www.superdecisions.com), pair-wise comparison matrices are
Managerial implications and discussions
The proposed integrated evaluation framework can be used by energy investors for a more effective assessment of RER alternatives. Considering that RER assessment is a multi-dimensional problem by its nature, a single model is not able to explain the whole evaluation process for deciding on the most appropriate RER. To address this gap, our study combines technical, economical, political, social and environmental attributes in a developed RER evaluation model.
The reason for integrating DEMATEL
Conclusions
Renewable energy has become a priority for Turkish policy makers over the past decade, particularly due to its role in expanding power generation and diversifying the energy supply mix in an environmentally sustainable way. The objective of this paper is to evaluate available RER alternatives and to select the most suitable energy option for Turkey from an investor perspective. In decision and evaluation processes, there are many factors which include subjective and qualitative judgments and
Acknowledgements
The authors acknowledge the financial support of the Galatasaray University Research Fund (project number: 16.402.004), and the contribution of the expert committee members for their valuable support in evaluating the introduced framework. The authors thank the Editors (Professor Peter Kelle, Professor Birsen Karpak and Professor Jennifer Shang) and anonymous reviewers for their valuable comments and suggestions which improved the quality of the paper.
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Early version of this paper was presented in at the 13th International Symposium on the Analytic Hierarchy Process (ISAHP), Washington DC, USA, June 29-July 2, 2014; and handled by the guest editors Drs. Birsen Karpak and Jennifer Shang.