An enhanced fuzzy decision making approach for the assessment of sustainable energy storage systems

Narayanamoorthy, Samayan; Brainy, J. V.; Shalwala, Raed A.; Alsenani, Theyab R.; Ahmadian, Ali

doi:10.1016/j.segan.2022.100962

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…Naseem et al (2022) proposed a MCDM model to analyze performance of the smart grids in Pakistan based on T-Spherical Fuzzy Power Maclaurin Symmetric Mean (TSFPMSM) operator. Narayanamoorthy et al (2023) introduced a Linear Diophantine Hesitant Fuzzy Sets (LDHFS) to evaluate five alternatives of energy storage technology in India. Criteria are cost, performance, technology, social, and environmental aspects.…”

Section: Literature Reviewmentioning

confidence: 99%

The determinants of reliable smart grid from experts’ perspective

et al. 2023

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A smart grid integrates communication networks with the conventional electrical grid. Due to their potential, smart grids are anticipated to achieve widespread deployment. A key component of the success and adoption of smart grids is reliability. Without knowing users’ impressions of the reliability of the smart grid, users will not easily accept and participate in it or its services. However, very few studies address smart grid reliability from the perspective of users. Thus, there is a urgent need to identify key factors that affect smart grid reliability from the user’s viewpoint. The goal of this paper is to examine user perceptions of smart grid reliability and assess their success factors in an effort to close the gap in the literature. This paper propose a model to investigate and determine the most crucial factors that affect the smart grid's reliability based on the Multiple-criteria decision-making (MCDM) method. Firstly, a comprehensive literature analysis was conducted to determine the criteria and sub-criteria used to construct the model; then, the model is constructed using fifteen sub-criteria covering big data, network systems, and grid efficiency criteria; finally, the Fuzzy Analytic Hierarchy Approach (FAHP) and fuzzy triangular numbers are used to evaluate and prioritize the criteria. Twenty smart grid experts were consulted to collect data. The results indicate the significance of the ‘Big Data’ criterion, closely followed by ‘Grid Efficiency’ criterion. Additionally, it is discovered that the sub-criteria of ‘Privacy’ and ‘Interoperability’ had a significant impact on the reliability of the smart grid. The sensitivity analysis shows the variation of factors ranking and the stability and robustness of the model and the results. The research presented in this study has practical applications for academics, engineers, decision-makers, and stakeholders.

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Section: Literature Reviewmentioning

confidence: 99%

The determinants of reliable smart grid from experts’ perspective

et al. 2023

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“…Torkayesh et al (2023) conducted a comprehensive review, revealing the successful integration of EDAS in nine fields, including agriculture, business management, construction management, energy and natural resources, healthcare management, technology, manufacturing, supply chain management, and transportation management. Likewise, a literature review indicates the extensive application of MAIRCA in various domains, ranging from supplier selection (Badi & Ballem, 2018;Chatterjee et al, 2018) to material selection (Chatterjee et al, 2020;Haq et al, 2023) and from economic and financial evaluations (Aksoy, 2021;Günay & Ecer, 2022) to studies on energy resources (Hezam et al, 2023;Narayanamoorthy et al, 2023). However, it is seen that studies combining the EDAS and MAIRCA methods are limited in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Tarım sigortaları ve doğal afetler: Türk tarım sigortaları havuzu (TARSİM) finansal performansının seçili kriterler dâhilinde değerlendirilmesi

BURHAN

2023

Ardahan Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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Agriculture is closely linked to weather and climatic conditions, rendering it vulnerable to the impact of natural disasters. While such risks are inherent in agricultural activities, the escalation in both frequency and severity of these disasters in recent years can be attributed to the interplay of climate change, global warming, and ecological degradation. In this context, agricultural insurances offer financial assistance to farmers by extending insurance coverage to mitigate potential production failures stemming from these hazards. In Turkey, the insurances included in the Agricultural Insurance Pool (TARSIM) range from crop, greenhouse, and poultry, to drought yield insurances. In this study, the financial performance of TARSIM during the period 2018-2022 has been evaluated by using Criteria Importance Through Intercriteria Correlation (CRITIC) objective criteria weighting with Evaluation based on Distance from Average Solution (EDAS) and Multi-Atributive Ideal-Real Comparative Analysis (MAIRCA) multi-criteria decision-making (MCDM) techniques. The analyses included seven financial ratios based on eight indicators, and as a result, the criterion with the highest weight was determined as the Total Premiums Received-Equity ratio, and by considering all utilized methods, the first two years with the best financial performance was identified as 2018 and 2019.

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“…The effective storage of surplus energy plays a critical role in the transformation of our energy infrastructure, as it enables the minimization of waste and the optimisation of resource utilisation. The implementation of these solutions plays a crucial role in the establishment of a robust energy grid that can effectively integrate a greater proportion of renewable energy sources [11][12][13][14][38][39][40][41][42]…”

Section: The Significance Of Sustainable Energy Storage Solutionsmentioning

confidence: 99%

Exploring the Uncharted Territory: Future Generation Materials for Sustainable Energy Storage

Kumar,

Dixit,

Haq

et al. 2023

E3S Web Conf.

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This study explores the domain of developing material categories for the purpose of sustainable energy storage, with the objective of addressing the constraints inherent in existing technologies and facilitating the development of inventive resolutions. The research examines the potential of nanomaterials, metal-organic frameworks (MOFs), polymers, and two-dimensional (2D) materials as a means to overcome the obstacles presented by current energy storage systems. This study investigates the qualities and potential of various materials, examining them in conjunction with a range of thorough characterization techniques. These approaches include electrochemical analysis, structural methodologies, nanoscale observations, and computer modelling. In the next analysis, this study will examine the future direction of research on energy storage materials, including prospective advancements and the critical obstacles related to scalability, cost-efficiency, and integration within energy systems. In general, this investigation highlights the significant impact of new materials on the development of a more environmentally friendly energy infrastructure. The present study focuses on the investigation of emerging materials for sustainable energy storage. Specifically, the research explores the potential of nanomaterials, metal-organic frameworks, polymers, and two-dimensional materials in this context. By examining the properties and characteristics of these materials, this study aims to contribute to the understanding and development of efficient and environmentally friendly energy storage solutions.

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An enhanced fuzzy decision making approach for the assessment of sustainable energy storage systems

Cited by 16 publications

References 45 publications

The determinants of reliable smart grid from experts’ perspective

The determinants of reliable smart grid from experts’ perspective

Tarım sigortaları ve doğal afetler: Türk tarım sigortaları havuzu (TARSİM) finansal performansının seçili kriterler dâhilinde değerlendirilmesi

Exploring the Uncharted Territory: Future Generation Materials for Sustainable Energy Storage

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