Optimum selection of an energy resource using fuzzy logic

Abouelnaga, Ayah E.; Metwally, A. Mohsen M.; Nagy, Mohamed S.; Agamy, Saeed

doi:10.1016/j.nucengdes.2009.09.002

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…Cirtita and Ilieş (2009) proposed a tool to define the best network alternative in downstream supply chain, based on MAUT, creating a value function with scalable importance criteria coefficients. Abouelnaga et al (2009) used MAUT to optimize the selection process for energy alternatives which are nuclear, hydroelectric, gas/oil, and solar in Egypt. Jiménez et al (2009) considered the situation where there was the least knowledge of the alternative consequences or performances, i.e.…”

Section: Multiple Attribute Utility Modelsmentioning

confidence: 99%

“…There are, however, aspects of sustainability, which cannot be quantified and yet are very important as, for example, values and opinions. In this area of human thought fuzzy logic performs successfully (Zimmermann 1991; Abouelnaga et al 2009). In this paper, FST is integrated with MAUT and a fuzzy multiple attribute utility model for intelligent building assessment is proposed.…”

Section: A Fuzzy Multiatribute Utility Modelmentioning

confidence: 99%

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A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Kahraman

Kaya

2012

Journal of Civil Engineering and Management

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Abstract. Multi-Attribute Utility Theory (MAUT) is an evaluation scheme which is very popular by decision makers for evaluating their judgments. According to MAUT, the overall evaluation U(x) of an object x is defined as a weighted addition of its evaluation with respect to its relevant value dimensions. The recent years have witnessed a huge concentration and interest in intelligent buildings' performance that is increasingly evidenced in building design and construction. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances. For this aim, in this paper a fuzzy multiple attribute utility model for intelligent building assessment is proposed and three alternative intelligent buildings for a business center in Istanbul are evaluated.

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Section: Multiple Attribute Utility Modelsmentioning

confidence: 99%

Section: A Fuzzy Multiatribute Utility Modelmentioning

confidence: 99%

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Kahraman

Kaya

2012

Journal of Civil Engineering and Management

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“…Fuzzy logic could be considered as a departure from classical two-valued sets and logic (e.g., "true" or "false") and uses "soft" linguistic (e.g., "large," "hot," and "tall") system variables and a continuous range of truth values in the interval [0, 1], rather than strict binary decisions and assignments [9]. We have adopted the fuzzy logic analysis to quantitative evaluation of energy security in this study to express the ambiguity included in the indicators or weightings by using linguistic values and to evaluate factors that are difficult to be quantified.…”

Section: Fuzzy Logic As a Tool For Energy Security Evaluationmentioning

confidence: 99%

“…There also have been many studies that introduced fuzzy logic to energy sector [9][10][11][12], but no comprehensive analysis of energy security using fuzzy logic has been published so far.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Japan’s Energy Security Based on Fuzzy Logic: Impact Assessment of Fukushima Accident

Yamanishi¹,

Takahashi²,

Unesaki³

2017

Journal of Energy

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The Fukushima accident of March 2011 had great political, economic, and social impacts on Japan and marked a very important turning point in Japan's energy policy. As the accident has also greatly exposed the vulnerability of Japan's energy security, it is crucial to clarify the path that Japan should take to maintain and secure its energy security in case of any possible future outbreak that may threaten its energy security. For this purpose, we conducted a comprehensive and structural analysis of Japan's energy security based on APERC's 4As framework and by using fuzzy logic and the Fuzzy-DEMATEL method to quantitatively understand the performance of Japan's energy security and how the Fukushima accident had impacted the performance. Our results demonstrate that Japan's energy security has clearly degraded after experiencing Fukushima accident. In addition, the results of the structural analysis by the Fuzzy-DEMATEL method show that the most salient dimension in the 4As framework for improving Japan's energy security is the "Availability" dimension, and for this purpose nuclear energy and renewables play very important roles in securing the future energy security in Japan; this is consistent with the current energy policy measures announced in the Strategic Energy Plan of 2014.

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“…There were some studies focused on the evaluation of the potential sites or the potential locations of the hydropower plants based on some criteria such as the electricity generation, the engineering and economics, the socio-economics, and the environment by a MCDM method such as the AHP or the total weighted scores (Rojanamon, Chaisomphob & Bureekul, 2009;Supriyasilp, Pongput & Boonyasirikul, 2009;Vucijak, Kupusovic, Midzic-Kurtagic & Ceric, 2013) and also there were several studies focused on the evaluation of the energy systems (e.g. coal, gas, hydro, nuclear) based on some defined attributes such as the economics, the availability, the environmental impact, and the proliferation by help of several methods such as the equivalent attribute technique (EAT), the multi-attribute utility theory (MAUT) and the Choquet integral methodology (Abouelnaga, Metwally, Nagy & Agamy, 2009;Kaya & Kahraman, 2010;Loken, Botterud & Holen, 2009). Surprisingly, it was realized that only very few number of researchers dealt with the selection problem of the hydropower plants and none of the researchers focused on solving the selection problem of the PHPIs.…”

Section: Literature Reviewmentioning

confidence: 99%

A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: By foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree

Saraçoğlu¹

2016

JIEM

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Abstract:Purpose: The electricity demand in Turkey has been increasing for a while. Hydropower is one of the major electricity generation types to compensate this electricity demand in Turkey.Private investors (domestic and foreign) in the hydropower electricity generation sector have been looking for the most appropriate and satisfactory new private hydropower investment (PHPI) options and opportunities in Turkey. This study aims to present a qualitative multiattribute decision making (MADM) model, that is easy, straightforward, and fast for the selection of the most satisfactory reasonable PHPI options during the very early investment stages (data and information poorness on projects).

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Optimum selection of an energy resource using fuzzy logic

Cited by 9 publications

References 4 publications

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Quantitative Analysis of Japan’s Energy Security Based on Fuzzy Logic: Impact Assessment of Fukushima Accident

A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: By foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree

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