A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty

Pandey, Alok Kumar; Krishankumar, Raghunathan; Pamučar, Dragan; Cavallaro, Fausto; Mardani, Abbas; Kar, Samarjit; Ravichandran, K. S.

doi:10.3390/en14206824

Cited by 9 publications

(3 citation statements)

References 179 publications

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“…Karagöz 65 incorporated ARAS with “interval type-2 fuzzy sets (IT2FSs)” for the evaluation of recycling facility locations from SD context. Pandey et al 66 provide a review on decision methods under uncertainty for clean energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Mishra¹,

Rani

Cavallaro

et al. 2023

Sci Rep

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In the past few years, the private sectors and industries have focused their attention on sustainable development goals to achieve the better and more sustainable future for all. To accomplish a sustainable community, one requires to better recognize the fundamental indicators and selects the most suitable sustainable policies in diverse regions of the community. Considering the huge impact of construction industry on sustainable development, very less research efforts have been made to obtain worldwide sustainable elucidations for this type of industry. As a large sector of construction industry, industrial buildings consume enormous amounts of energy and financial assets, and play a key character in job creation and life quality improvement in the community. In order to assess the sustainable industrial buildings by means of multiple indicators, the present study introduces a hybrid multi-criteria decision-making methodology which integrates the fairly aggregation operator, the MEthod based on the Removal Effects of Criteria (MEREC), the stepwise weight assessment ratio analysis (SWARA) and the additive ratio assessment (ARAS) methods with intuitionistic fuzzy set (IFS). In this respect, firstly new intuitionistic fuzzy weighted fairly aggregation operators are proposed and then employed to aggregate the decision information in the proposed hybrid method. This operator overcomes the limitations of basic intuitionistic fuzzy aggregation operators. To find the criteria weights, an integrated model is presented based on the MEREC for objective weights and the SWARA for subjective weights of indicators under IFS context. To rank the sustainable industrial buildings, an integrated ARAS method is employed from uncertain perspective. Further, a case study concerning sustainable industrial buildings evaluation is presented to illustrate the superiority and practicality of the developed methodology. The advantages of the developed approach are highlighted in terms of stability and reliability by comparison with some of the existing methods.

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Section: Literature Reviewmentioning

confidence: 99%

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Mishra¹,

Rani

Cavallaro

et al. 2023

Sci Rep

Self Cite

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“…The study system feeds the estimated demand of 7475 inhabitants of the island of San Cristóbal, in the Galapagos archipelago, whose consumption is estimated at 1.4 (kW.h -1 ) per family [15]. The proposed hybrid system is composed of a group of seven combustion generators with a total capacity of 9.8 MW, a group of three wind turbines with a total power of 2.4 MW, a photovoltaic system of 0.95 MW, a solar thermal eld with a capacity of 1 MW and a "Battery Energy Storage System (BESS)" of 6.5 MW [16].…”

Section: Case Studymentioning

confidence: 99%

Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies

Ampuño

Sosa

2022

Preprint

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This chapter presents an hourly energy management system (EMS). The hybrid renewable energy system (HRES) is composed of a hybrid ae-generator system (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a distributed collector system (DCS) as the primary energy source. The distributed collector system (DCS) consists of a field of parabolic trough collectors that carry solar thermal energy to a power conversion unit to produce electricity, an energy storage system (ESS), the wind turbine, the PV panels and the distributed control system (DCS) are made to work at the maximum power point, while the battery acts as storage. The energy management system (EMS) uses intelligent rule-based controllers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target ranges. The controller implemented for this study is a fuzzy logic controller that mimics human understanding of various phenomena that may occur during microgrid operation. The simulation results show that the fuzzy logic-based control meets the objectives established for the energy management system (EMS) of the hybrid renewable energy system (HRES).

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“…The horizontal-axis WTs, on the other hand, can be either upwind or downwind, equipped with a yaw drive and motor to turn the nacelle windward. These turbines are typically either two-or three-bladed and are convention- Mathematical analyses of the suitability of different forms of clean and renewable energies were carried out in the recent past [35][36][37][38]. Based on review models related to decision approaches for clean energy systems, it was found that wind energy constituted of highest proportion due to convenience and availability.…”

Section: Introductionmentioning

confidence: 99%

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

2022

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Amongst various sources of renewable energy, the kinetic energy of blowing wind has environmental friendliness and easy availability, together with other benefits. The wind energy is converted into usable electrical energy by means of a robust device termed a wind turbine. To carry out a performance study of such a device, a small-scale model vertical-axis wind turbine was installed at the laboratory and was run by artificial wind energy produced by a pedestal fan for low and medium speeds and a blower for higher speeds. The variation in critical parameters such as output power and voltage with different speeds was studied. The average output power and voltage were observed to increase with average shaft speed with linear and curvilinear patterns, respectively. The vibration produced at the bearing shaft resulting from the rotating components was analyzed as well. As observed, the peak values of critical vibration parameters such as displacement, velocity, acceleration, and frequency mostly varied curvilinearly with average shaft speeds. To study the applicability of the power generation, an electronically controlled automatic drip irrigation system was allowed to run by the wind turbine and important observations were made. Theoretical analyses (numerical and analytical) of the wind flow and power generation were also performed.

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A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty

Cited by 9 publications

References 179 publications

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

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