Assessment of nuclear energy sustainability index using fuzzy logic

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

doi:10.1016/j.nucengdes.2010.03.010

Cited by 17 publications

(7 citation statements)

References 6 publications

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“…Scientific fuzzy logic inference algorithm models are applicable to conducting quantified decision making with items with different characteristics [1]. Fuzzy logic theories such as Delphi "defuzzification" are widely applied in practical fields; for example, research topics on fuzzy logic include assessing sustainable alternatives of power generation [96], the assessment of renewable energy systems [110], the assessment of nuclear energy sustainability [111], grid interconnection of renewable energy sources [112], and corporate sustainable performance assessment [113].…”

Section: Summary Of Delphi Fuzzy Logic and Ahp Methodsmentioning

confidence: 99%

Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

et al. 2021

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Rural areas in southern China receive ample rainfall annually as well as over 1600 h of annual sunshine. Despite a generally severe urban–rural development imbalance, these rural areas feature well-developed basic infrastructure and diverse economic activities. Rural revitalization policies in these areas have emphasized the development of cultural and ecological tourism, which has spurred economic development and given rise to a trend of villa construction. Residential buildings sit on large areas where natural resources are abundant. These advantages are conducive to the development and use of sustainable resources. This study proposes an incentive policy encouraging rural residents to renovate their buildings to include rainwater conservation and solar power generation. The Delphi method, an analytic hierarchy process, and fuzzy logic theory were combined to establish an AI-MCDM model, with applications of artificial intelligence and multiple-criteria decision making. Using Conghua District, Guangdong Province as an example, the study suggested that the model is beneficial to increasing the willingness of rural residents to reconstruct and renovate their residences, promoting the development of a low-carbon ecological region, Wenquan Township. We conducted the Delphi process twice to assess and validate incentives for installing natural resource conservation structures in agricultural areas. Nine criteria were identified, which can be divided into three main dimensions of participation situation, generating capacity, and storage facilities. The proposed AI-MCDM model developed using the Delphi–Fuzzy Analytic Hierarchy Process Model has high objectivity and can support rural areas in developing low-carbon, sustainable characteristics. The findings can serve as a reference for governments formulating incentives to encourage the installation of rainwater conservation and solar energy generation structures by rural households.

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Section: Summary Of Delphi Fuzzy Logic and Ahp Methodsmentioning

confidence: 99%

Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

et al. 2021

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“…In assessments of nuclear power's sustainability and comparative studies with other power generation technologies, certain researchers have considered indicators related to NER based on methods such as multi-criterion decision-making techniques, fuzzy logic, and fuzzy multi-attribute utility theory. For example, [12] considers reactor safety and nuclear proliferation risk using linguistic values (strong, weak, and medium); [13] uses marking to describe technical reli-ability and accident risk; and [14] considers indicators such as radionuclide external costs, past fatal accidents, and severe accidents expected in the future. The initial values and weight coefficients of evaluation indicators depend highly on experts' experience and subjective judgment.…”

Section: A Indices Imentioning

confidence: 99%

Pathway Planning of Nuclear Power Development Incorporating Assessment of Nuclear Event Risk

Yang,

Xue,

Cai

2024

Journal of Modern Power Systems and Clean Energy

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The nuclear event risk (NER) is an important and disputed factor that should be reasonably considered when planning the pathway of nuclear power development (NPD) to assess the benefits and risks of developing nuclear power more objectively. This paper aims to explore the impact of nuclear events on NPD pathway planning. The influence of nuclear events is quantified as a monetary risk component, and an optimization model that incorporates the NER in the objective function is proposed. To optimize the pathway of NPD in the lowcarbon transition course of power supply structure evolution, a simulation model is built to deduce alternative NPD pathways and corresponding power supply evolution scenarios under the constraint of an exogenously assigned carbon emission pathway (CEP); moreover, a method is proposed to describe the CEP by superimposing the maximum carbon emission space and each carbon emission reduction (CER) component, and various CER components are clustered considering the emission reduction characteristics and resource endowments of different power generation technologies. A case study is conducted to explore the impact of NER and its risk valuation uncertainty on NPD pathway planning. The method presented in this paper allows the impact of nuclear events on NPD pathway planning to be quantified and improves the level of coordinated optimization of benefits and risks.

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“…The numerical analysis and the aggregation of the values of the qualitative and quantitative indicators were carried out by means of fuzzy logic (Abouelnaga et al, 2010;Beriha et al, 2012). The main property of fuzzy logic (Zadeh, 1965) is that it translates linguistic judgments, generated by human reasoning in a vague and inaccurate manner, into numerical and mathematical terms.…”

Section: Data Analysis and Aggregationmentioning

confidence: 99%

A fuzzy-based model to implement the global safety buildings index assessment for agri-food buildings

Barreca

Cardinali

Fichera

et al. 2014

J Agricult Engineer

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The latest EU policies focus on the issue of food safety with a view to ensuring adequate and standard quality levels for the food produced and/or consumed within the EC. To that purpose, the environment where agricultural products are manufactured and processed plays a crucial role in achieving food hygiene. As a consequence, it is of the outmost importance to adopt proper building solutions which meet health and hygiene requirements as well as to use suitable tools to measure the levels achieved. Similarly, it is necessary to verify and evaluate the level of workers’ safety and welfare in their working environment. Workers’ safety has not only an ethical and social value but also an economic implication, since possible accidents or environmental stressors are the major causes of the lower efficiency and productivity of workers. Therefore, it is fundamental to design suitable models of analysis that allow assessing buildings as a whole, taking into account both health and hygiene safety as well as workers’ safety and welfare. Hence, this paper proposes an assessment model that, based on an established study protocol and on the application of a fuzzy logic procedure, allows assessing the global safety level of an agri-food building by means of a global safety buildings index. The model here presented is original since it uses fuzzy logic to evaluate the performances of both the technical and environmental systems of an agri-food building in terms of health and hygiene safety of the manufacturing process as well as of workers’ health and safety. The result of the assessment is expressed through a triangular fuzzy membership function which allows carrying out comparative analyses of different buildings. A specific procedure was developed to apply the model to a case study which tested its operational simplicity and the validity of its results. The proposed model allows obtaining a synthetic and global value of the building performance of each of its functional areas, in terms of food hygiene and workers’ safety and welfare, as well as highlighting possible weaknesses. Though the model may be applied in either the design or the operational phase of a building, this paper focuses on its application to certain buildings already operating in a specific productive context.

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Assessment of nuclear energy sustainability index using fuzzy logic

Cited by 17 publications

References 6 publications

Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

Pathway Planning of Nuclear Power Development Incorporating Assessment of Nuclear Event Risk

A fuzzy-based model to implement the global safety buildings index assessment for agri-food buildings

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