Development of Decision Model for Selection of Appropriate Power Generation System Using Distance Based Approach Method (original) (raw)
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Journal of Energy Resources Technology, 2004
A deterministic quantitative model has been developed to compare the technical, economical and environmental feature of various electric power generating plants. The model, which is based on matrix operations, is used in evaluating the various aspects of energy sources available for electricity generation systems in a developing country. Several energy sources which could be considered for production of electricity to meet current and future electricity demands have been chosen. These will include fossil fuel fired, nuclear, and natural-renewable energy power plants. And, a set of criteria for optimized selection includes five area of concerns: energy economy, energy security, environmental protection, socio-economic development and technological aspects for the electric power generations. The model developed in this study is applied to the Indonesian’s electric power sector development. Most of the data required are obtained from various sources related to power industry in Indones...
Renewable and Sustainable Energy Reviews, 2017
Decision analysis application intended for selection of a power plant running on renewable energy sources 1. Introduction Energy is one of the essential aspects of our lives. When the things that can't be done without energy in our daily lives are considered, the term "energy" becomes more significant. The need for energy is increasing with each passing day in accordance with technological advancements and human needs. Therefore, due precautions should be taken before potential future energy problems emerge. In parallel with the energy consumption, environmental pollution and the greenhouse effect in our atmosphere are also rapidly increasing. As a solution to this problem, a shift to renewable and clean energy sources is occurring worldwide. Fossil fuels provide the majority of world's energy need, and due to the fact that these fuels will deplete in time and they are harmful for the environment, renewable energy sources are becoming more and more vital. In recent years, different levels of policy and legislation were promulgated to encourage renewable energy in developed countries. As of 2013, at least 144 countries which have set different renewable energy targets and policies have been supported at the national level for renewable energy development. The number of supported countries was only 55 in 2005. In 2012, an investment totaling $244 billion was made on renewable energy; global investment increased by 8% compared to 2010. Approximately 19% of the world's energy consumption was provided by renewable energy sources in 2012 [1]. 2.33% of Turkey's energy was obtained from renewable energy sources in 2011. Turkey obtained 44.7% from natural gas, 28.2% from coal, 22.8% from hydroelectric and 1.7% from liquid fuels in 2011 [2]. The Ministry of Energy aims to ensure that 30% of the total energy production will be obtained from renewable energy sources by 2023. Within the literature, there are many studies to answer the question "which renewable energy resource should be utilized?" Many types of Multi-Criteria Decision Making (MCDM) techniques were applied to answer this question for Turkey and other countries. Georgopoulou et al. [3] used the ELECTRE method in Greece; they took 15 criteria into account for eight energy-efficient alternatives. Onut et al. [4] assessed fuel oil, coal, electricity, LPG and NG which are the most common energy sources in the manufacturing industry. The authors used the Analytical Network Process (ANP) method to determine ranking of these sources for the manufacturing industry. Hawila et al. [5] developed and disseminated an assessment framework to find North African countries' readiness for deployment of renewable energy technologies. Tahri et al. [6] studied the outcome of combining both Geographic Information System (GIS) tools and the Analytical Hierarchy Process (AHP) method to assess the suitability of a certain set of locations to carry out a renewable energy project. Zhang et al. [7] improved a MCDM method based on fuzzy measurements and integral. Four primary clean energy options for the Jiangsu Province in China were developed and applied to assess through the MCDM method. As a result, the preferred clean energy option for Jiangsu is solar photovoltaic, followed by wind, biomass and finally nuclear energy. This study discusses meeting Turkey's constantly increasing energy needs using renewable energy sources. The current situation, technical and economic potential, environmental effects, sustainability, technological maturity and social impacts of renewable energy sources in Turkey and worldwide were discussed in detail. Anderson et al. [8] provided an overview for regulators and stakeholders concerned with wind energy/bird interactions. These interactions were assessed in the environmental effects section. Various alternatives were proposed in order to meet Turkey's energy demands. Current situation of these alternatives were assessed by using the SWOT analysis method, and the criteria were determined and explained by using the data obtained as a consequence of the research. In terms of our criteria, all potential and existing values that could be essential for a power plant running on a renewable energy resource were considered and one of these power plant types was selected. PROMETHEE, one of the multiple criteria decision making models was used for the selection of these alternatives. After the decision-making problem was solved, results were interpreted and the study was concluded with various suggestions. 2. Energy and renewable energy sources in Turkey Turkey, a developing country turning into a developed one, has to deal with the constantly growing energy demand. Production based on fossil sources is both not sustainable and dependent on external sources. When Turkey's foreign trade deficit was analyzed, it can be seen that the exportation as of 2009 is 706 billion USD, and the total importation is 1.083 billion USD. Coal, natural gas and crude oil importation was 154 billion USD. 377 billion USD, or 41% of the total foreign trade deficit arose from importing energy [9]. The fact that the majority of Turkey's foreign trade deficit is due to energy importation has economic consequences as well as strategical ones. The energy bottleneck in 2007 was an important warning for Turkey's future strategies. Contributions of procuring energy from different sources on the strategical position of the country were also realised. Equal energy supply and demand in 2007 was avoided thanks to the global crisis. Turkey needs to invest in various energy sources rapidly and meet the growing energy demand. In order to achieve this, the country should invest in foreign renewable energy technology, and rely on its own renewable energy sources.
Multi-criteria selection of electric power plants using analytical hierarchy process
Electric power systems research, 1999
This paper uses analytical hierarchy process (AHP) methodology to perform a comparison between the different electricity power production options in Jordan. The systems which were considered, in addition to fossil fuel power plants, are nuclear, solar, wind, and hydro-power. Results on cost-to-benefit ratios show that solar, wind, end hydro-power may be the best alternatives for electric power production. Nuclear electricity turns out to be the worst choice, followed by fossil fuel electric power. (B.A. Akash) 0378-7796/99/$ -see front matter © 1999 Elsevier Science S.A. All rights reserved. PII: S 0 3 7 8 -7 7 9 6 ( 9 9 ) 0 0 0 0 4 -8
Decision Support for the Selection of Electric Power Plants Generated from Renewable Sources
Abstract: Decision support based upon risk analysis into comparison of the electricity generation from different renewable energy technologies can provide information about their effects on the environment and society. The aim of this paper is to develop the assessment framework regarding risks to health and environment, and the society-s benefits of the electric power plant generation from different renewable sources. The multicriteria framework to multiattribute risk analysis technique and the decision analysis interview technique are applied in order to support the decisionmaking process for the implementing renewable energy projects to the Bangkok case study. Having analyses the local conditions and appropriate technologies, five renewable power plants are postulated as options. As this work demonstrates, the analysis can provide a tool to aid decision-makers for achieving targets related to promote sustainable energy system. Keywords: Analytic Hierarchy Process, Bangkok, Multia...
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Renewable energy resources ranking, and power plant location selection are multi-criteria decision-making (MCDM) problems. These problems can be solved as two-phase decision-making tasks separately and sequentially or, in a unified form, as a single-step task. In this paper, we are studying the efficiency and applicability of the unified approach based on fuzzy and Z-information, and TOPSIS technique. Alternatives for the single-step approach are generated based on renewables available in the country and potential geographical locations for these resources. Considering the importance of weights in MCDM and the multiplicity of approaches to criteria weighting, subjective, objective, AHP-based, and combination of the subjective and objective weights are used for decision matrix weighting. Comparative analysis of the solutions, based on various weights, allows making a reliable solution. The results of the study and problem solution confirm the efficiency and applicability of the combined approach. The advantage of the unified single step solution is that this approach, in addition to the solution of the main task, provides to decision-maker additional information about preferable next best renewable and location option as well.
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