Evaluation of power plants in Turkey using Analytic Network Process (ANP)

Atmaca, Ediz; Basar, Hasan Burak

doi:10.1016/j.energy.2012.05.046

Cited by 126 publications

(49 citation statements)

References 19 publications

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“…According to the experimental results, a biomass plant alternative was the best option. Atmaca and Basar (2012) applied Analytic Network Process (ANP) to determine the most appropriate energy resource for Turkey. They found that nuclear power was the best alternative.…”

Section: Literature Surveymentioning

confidence: 99%

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A Cumulative Belief Degree Approach for Prioritization of Energy Sources: Case of Turkey

Kabak

Çınar

Hoge

2013

Assessment and Simulation Tools for Sustainable Energy Systems

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Energy planning is difficult to model owing to its complex structure, with numerous decision makers, criteria, and scenarios. Fortunately, decisionmaking methods can be helpful for the sustainable development of energy, by the evaluation of different energy sources with regard to multiple aspects, for example, economic, environmental, political etc. In this study, a methodology based on a cumulative belief degree approach is proposed for the prioritization of energy sources. The approach enables the use of all types of evaluations, without the loss of any information. It also allows for incomplete expert evaluations which may occur in the energy sources prioritization problem. Turkey, like many countries, generates most of energy from fossil fuels, which are imported mostly from other countries. However, the enormous increase in oil prices, and an emerging energy demand, owing to economic growth and environmental issues, is forcing Turkey to improve its sustainable energy planning. Therefore, the proposed methodology is applied to the energy sources prioritization of Turkey. Results show that solar power and wind should be considered as the priori sources of energy in Turkey.

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Section: Literature Surveymentioning

confidence: 99%

“…It can also be handled as two subcategories: fixed and variable costs. Maintenance costs and wages of full-time employees form fixed costs, while breakdown costs and wages of part-time employees constitute variable cost (Atmaca and Basar 2012).…”

Section: Economic Criteriamentioning

confidence: 99%

A Cumulative Belief Degree Approach for Prioritization of Energy Sources: Case of Turkey

Kabak

Çınar

Hoge

2013

Assessment and Simulation Tools for Sustainable Energy Systems

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“…The data collected from the technical review and experts is then fed into an MCDM model to evaluate and compare WtE technologies for India and the UK. The MCDM analysis is performed in SuperDecisions ® which is a well-established software package for carrying out MCDM studies based on mathematical decision making theories, and it has been applied by a number of researchers in other studies (Atmaca andBasar, 2012 andBanar, et al, 2007). The overall outcome from the MCDM model is a preference ranking for each technological alternative.…”

Section: Methodsmentioning

confidence: 99%

A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK

2015

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Energy recovery from municipal solid waste plays a key role in sustainable waste management and energy security. However, there are numerous technologies that vary in suitability for different economic and social climates. This study sets out to develop and apply a multi-criteria decision making methodology that can be used to evaluate the trade-offs between the benefits, opportunities, costs and risks of alternative energy from waste technologies in both developed and developing countries. The technologies considered are mass burn incineration, refuse derived fuel incineration, gasification, anaerobic digestion and landfill gas recovery. By incorporating qualitative and quantitative assessments, a preference ranking of the alternative technologies is produced. The effect of variations in decision criteria weightings are analysed in a sensitivity analysis. The methodology is applied principally to compare and assess energy recovery from waste options in the UK and India. These two countries have been selected as they could both benefit from further development of their waste-to-energy strategies, but have different technical and socio-economic challenges to consider. It is concluded that gasification is the preferred technology for the UK, whereas anaerobic digestion is the preferred technology for India. We believe that the presented methodology will be of particular value for waste-to-energy decision-makers in both developed and developing countries.

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“…• Identification of core technologies [24]; • The appraisal and applicability of investments in different energy power plants [25]; • An assessment of the reduction in Carbon Dioxide Partnerships [26]; • Solar thermal power plant investment and project evaluation [27].…”

Section: Intensity Of Importance Definitionmentioning

confidence: 99%

Strategic Choices of China’s New Energy Vehicle Industry: An Analysis Based on ANP and SWOT

Wang

Shang

et al. 2017

Energies

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This goal of this paper is to provide a framework by which China should accelerate the development and production of new energy vehicles, which should effectively address current energy and environmental pressures, while promoting the sustainable development of the automotive industry, which is an urgent task. In addition, this paper provides guidelines that seek to transform China's auto industry while developing a new economic growth point to gain an international competitive advantage with strategic initiatives. This study aims to provide an ANP-SWOT (Analytic Network Process and Strength-Weakness-Opportunity-Threat analysis) approach for an interdependency analysis and to prioritize the new energy automobile industry in China. Firstly, a SWOT model is used to analyze the internal and external factors surrounding the development of the new energy automobile industry in China. Secondly, four types of development strategies are proposed by means of the SWOT matrix according to the conclusions of the factor analysis. Finally, the ANP network structure is designed to measure the effects of influential sub-factors, and then to define a strategic plan for China's new energy automobile industry. The results of this study show that the optimal short-term development strategy for China's new energy automotive industry is to increase the construction of new energy vehicle-related facilities, while the best long-term development strategy is to use local advantages and resources, through cost control measures which increase competition within the local new energy automotive industry.

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Evaluation of power plants in Turkey using Analytic Network Process (ANP)

Cited by 126 publications

References 19 publications

A Cumulative Belief Degree Approach for Prioritization of Energy Sources: Case of Turkey

A Cumulative Belief Degree Approach for Prioritization of Energy Sources: Case of Turkey

A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK

Strategic Choices of China’s New Energy Vehicle Industry: An Analysis Based on ANP and SWOT

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