An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey

https://doi.org/10.1016/j.ijpe.2016.09.015Get rights and content

Abstract

Renewable energy resources (RER) are globally emerging as an energy generation alternative and latest research points out that these resources will have vital importance in the future. Limited reserves and negative environmental impacts of fossil fuels make investors to consider RER for sustainable development. In this study, a multi-criteria decision making (MCDM) approach is applied using the Decision Making Trial and Evaluation Laboratory Model (DEMATEL) technique, integrated with Analytic Network Process (ANP) for selecting the most appropriate RER in Turkey from an investor-focused perspective. The originality of the work comes from its ability to combine technical, economic, political and social attributes with a developed RER evaluation model and the effective and integrated framework it provides to select the most appropriate RER for Turkey for the first time using integrated DEMATEL and ANP approach.

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.

References (114)

  • G. Büyüközkan et al.

    A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry

    Expert Syst. Appl.

    (2012)
  • A.I. Chatzimouratidis et al.

    Technological, economic and sustainability evaluation of power plants using the Analytic Hierarchy Process

    Energy Policy

    (2009)
  • J.-K. Chen et al.

    Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education

    Expert Syst. Appl.

    (2010)
  • Y.-C. Chen et al.

    Measures and evaluation for environment watershed plans using a novel hybrid MCDM model

    Expert Syst. Appl.

    (2010)
  • F.-H. Chen et al.

    A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP

    Int. J. Hosp. Manag.

    (2011)
  • W.-Y. Chiu et al.

    A new hybrid MCDM model combining DANP with VIKOR to improve e-store business

    Knowl.-Based Syst.

    (2013)
  • T. Daim et al.

    Technology assessment for clean energy technologies: the case of the Pacific Northwest

    Technol. Soc.

    (2009)
  • Ş. Erdoğmuş et al.

    Evaluation of alternative fuels for residential heating in Turkey using analytical network process (ANP) with group decision making

    Renew. Sustain. Energy Rev.

    (2006)
  • I. Gölcük et al.

    An analysis of DEMATEL approaches for criteria interaction handling within ANP

    Expert Syst. Appl.

    (2016)
  • A. Hepbasli

    A key review on exergetic analysis and assessment of renewable energy resources for a sustainable future

    Renew. Sustain. Energy Rev.

    (2008)
  • S.-K. Hu et al.

    Exploring smart phone improvements based on a hybrid MCDM model

    Expert Syst. Appl.

    (2014)
  • C.Y. Huang et al.

    Reconfiguring the innovation portfolios for Taiwan's SIP mall industry

    Technovation

    (2007)
  • C.-H. Hsu et al.

    The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR

    Resour. Conserv. Recycl.

    (2012)
  • C.C. Hsu et al.

    An outsourcing provider decision model for the airline industry

    J. Air Transp. Manag.

    (2013)
  • A. Ishizaka et al.

    Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)-AHP (analytic hierarchy process) visualization tool

    Energy

    (2016)
  • I. Iskin et al.

    Exploring renewable energy pricing with analytic network process-comparing a developed and a developing economy

    Energy Econ.

    (2012)
  • D.J.F. Jeng et al.

    Strategic project portfolio selection for national research institutes

    J. Bus. Res.

    (2015)
  • M. Kabak et al.

    Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology

    Energy Convers. Manag.

    (2014)
  • C. Kahraman et al.

    Fuzzy multi criteria methodology for selection among energy alternatives

    Expert Syst. Appl.

    (2010)
  • B. Karpak et al.

    Small medium manufacturing enterprises in Turkey: ananalytic network process framework for prioritizing factors affecting success

    Int. J. Prod. Econ.

    (2010)
  • T. Kaya et al.

    Multi-criteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: the case of Istanbul

    Energy

    (2010)
  • T. Kaya et al.

    Multi criteria decision making in energy planning using a modified fuzzy TOPSIS methodology

    Expert Syst. Appl.

    (2011)
  • W.-S. Lee et al.

    Analysis of decision making factors for equity investment by DEMATEL and analytic network process

    Expert Syst. Appl.

    (2011)
  • C.W. Lee et al.

    Top down strategy for renewable energy investment: conceptual framework and implementation

    Renew. Energy

    (2014)
  • C.L. Lin

    A novel hybrid decision-making model for determining product position under consideration of dependence and feedback

    Appl. Math. Model.

    (2015)
  • J.J.H. Liou et al.

    Airline safety measurement using a hybrid model

    J. Air Transp. Manag.

    (2007)
  • J.J.H. Liou et al.

    Developing a hybrid multi-criteria model for selection of outsourcing providers

    Expert Syst. Appl.

    (2010)
  • J.J.H. Liou

    Developing an integrated model for the selection of strategic alliance partners in the airline industry

    Knowl.-Based Syst.

    (2012)
  • J.J.H. Liou et al.

    A fuzzy integral-based model for supplier evaluation and improvement

    Inf. Sci.

    (2014)
  • J.J.H. Liou

    Building an effective system for carbon reduction management

    J. Clean. Prod.

    (2015)
  • C.-L. Lin et al.

    Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback

    Expert Syst. Appl.

    (2010)
  • C.-H. Liu et al.

    Improving tourism policy implementation the use of hybrid MCDM models

    Tour. Manag.

    (2012)
  • H.-C. Liu et al.

    A novel hybrid multiple criteria decision making model for material selection with target-based criteria

    Mater. Des.

    (2014)
  • M.-T. Lu et al.

    Improving RFID adoption in Taiwan's healthcare industry based on a DEMATEL technique with a hybrid MCDM model

    Decis. Support Syst.

    (2013)
  • K. Nigim et al.

    Pre-feasibility MCDM tools to aid communities in prioritizing local viable renewable energy sources

    Renew. Energy

    (2004)
  • S.R. Önüt et al.

    Multiple criteria evaluation of current energy sources for Turkish manufacturing industry

    Energy Convers. Manag.

    (2008)
  • J.-N. Pan et al.

    Achieving customer satisfaction through product-service systems

    Eur. J. Oper. Res.

    (2015)
  • S.-D. Pohekar et al.

    Application of multi-criteria decision making to sustainable energy planning – a review

    Renew. Sustain. Energy Rev.

    (2004)
  • S. Rahman et al.

    Factors for implementing end-of-life computer recycling operations in reverse supply chains

    Int. J. Prod. Econ.

    (2012)
  • Y.C. Shen et al.

    Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection

    Expert Syst. Appl.

    (2011)
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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.

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