Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: Case of the Ecuadorian energy regulation

Villacreses, Geovanna; Martínez-Gómez, Javier; Jijón, Diego; Cordovez, Martin

doi:10.1016/j.egyr.2022.02.152

Cited by 48 publications

(23 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Büyüközkan and Güleryüz [25], for example, present an energy model of source selection with fuzzy preference relations. These techniques can also be applied in site selection problems for wind farms [26,27] or for solar power plants [28], geolocalization for photovoltaic farms [29], and for analyzing the energy efficiency of emerging economies [30]. Fossile et al [31] present an energy selection for Brazilian ports using the Flexible and Interactive (FITradeoff) method, which Bernardo Keller Richter, Gabriela Hansen Marcondes, Nathalia Juca Monteiro, Sergio Eduardo Gouvea da Costa, Eduardo R. Loures, Fernando Deschamps and Edson Pinheiro de Lima was also utilized by Abreu Kang et al [32] for power generation selection for the Brazilian electricity matrix.…”

Section: Literature Reviewmentioning

confidence: 99%

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Richter

Monteiro

Costa

et al. 2023

IJSEPM

View full text Add to dashboard Cite

In today’s scenario of increasing energy prices, new legislations, and rising consumer concerns regarding environmental issues, industries face an unprecedented challenge of reducing their energy consumption without negatively impacting their profit and productivity. Based on this, companies are focusing on analyzing their energy efficiency, which has various criteria to be considered, and at least three organizational levels. To close this gap, this study developed an Industrial energy efficiency assessment and prioritization model based on energy assessment literature. It utilized multi-criteria analysis for the prioritization of industrial energy efficiency measures. To achieve the goal, a literature review was conducted to map relevant energy efficiency practices from which an industrial energy efficiency assessment tool was developed through the lens of three organizational levels (plant, process, and machine). Subsequently, an energy-efficiency project prioritization tool was proposed using the multi-criteria PROMETHEE II method. The assessment and prioritization model was applied to an energy industry for refinement. It generated an overview of the company's energy efficiency maturity and a ranking of the most recommended measures for the optimal use of energy resources according to established criteria and their weights. Four subcategories (lighting, HVAC systems, compressed air, and motors) were analyzed for the organizational levels, and lighting presented the higher result of a maturity of 2.77 on a scale from 0 to 3, also the maturity of the company was 2.01, which means that is still space for improvement. The improvements were highlighted according to each subcategory studied, pointing to actions that needed to be developed to improve energy efficiency.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Richter

Monteiro

Costa

et al. 2023

IJSEPM

View full text Add to dashboard Cite

show abstract

“…An overview of the application of multiple criteria decision making techniques and approaches. In (Villacreses et al, 2022)…”

Section: Sustainabilitymentioning

confidence: 99%

Warehouse Optimization using Queuing Theory and Supply Chain Management

Dhillon¹

2022

IJSREM

View full text Add to dashboard Cite

Energy consumption has become an increasingly alarming issue and is widely discussed among policy makers today concerned about the allocation of the limited resources that are left. This has prompted researchers to search for new, more experimental, inexhaustible sources of energy that can be sustained for the foreseeable future. At this point, many agree that renewable energy is the way forward. The crux of the issue however lies in what source should be used, which technology should be adopted and what factors associated with generation, transmission and distribution should be considered in order to create the most robust energy policy applicable on a large scale but with enough room to be reinterpreted and adapted to a particular country or business. Multi-criteria decision making (MCDM) techniques are effective tools to help researchers solve complex decision-making problems taking multiple conditions and criteria into account to provide the best alternative available. Analysing studies as per authors, publication year, document type, statistics and graphical representations, country of origin and source of publication can be advantageous for researchers in the decision-making field, allowing them to create a timeline tracing the application of MCDM techniques in the field while also building and adding to this area of research. This study has reviewed 202 research papers to analyse existing research, identify research gaps and propose new future research opportunities in the area of energy policy formulation for solving decision-making problems through the application of MCDM techniques. Keywords: Renewable energy; Multi-criteria decision making (MCDM); Analytic Hierarchy Process (AHP); Sustainable energy; Analytic Network Process (ANP)

show abstract

“…The goal of MCDM is to choose the most excellent option from a group of alternatives characterized by multiple, usually conflicting criteria. Researchers have introduced various MCDM methods in the past few decades to successfully tackle decision-making problems [8][9][10][11]. TOPSIS [12] is a well-known MCDM technique that is utilized to locate the optimal result which is nearer to a positive ideal solution (PIS) and a long way from a negative ideal solution (NIS).…”

Section: Introductionmentioning

confidence: 99%

Novel Scheme for Robust Confusion Component Selection Based on Pythagorean Fuzzy Set

Abughazalah¹,

Iqbal²,

Khan³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The substitution box, often known as an S-box, is a nonlinear component that is a part of several block ciphers. Its purpose is to protect cryptographic algorithms from a variety of cryptanalytic assaults. A Multi-Criteria Decision Making (MCDM) problem has a complex selection procedure because of having many options and criteria to choose from. Because of this, statistical methods are necessary to assess the performance score of each S-box and decide which option is the best one available based on this score. Using the Pythagorean Fuzzy-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, the major objective of this investigation is to select the optimal S-box to be implemented from a pool of twelve key choices. With the help of the Pythagorean fuzzy set (PFS), the purpose of this article is to evaluate whether this nonlinear component is suitable for use in a variety of encryption applications. In this article, we have considered various characteristics of S-boxes, including nonlinearity, algebraic degree, strict avalanche criterion (SAC), absolute indicator, bit independent criterion (BIC), sum of square indicator, algebraic immunity, transparency order, robustness to differential cryptanalysis, composite algebraic immunity, signal to noise ratio-differential power attack (SNR-DPA), and confusion coefficient variance on some standard S-boxes that are Advanced Encryption Following this, the findings of the investigation are changed into Pythagorean fuzzy numbers in the shape of a matrix. This matrix is then subjected to an analysis using the TOPSIS method, which is dependent on the Pythagorean fuzzy set, to rank the most suitable S-box for use in encryption applications.

show abstract

Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: Case of the Ecuadorian energy regulation

Cited by 48 publications

References 42 publications

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Warehouse Optimization using Queuing Theory and Supply Chain Management

Novel Scheme for Robust Confusion Component Selection Based on Pythagorean Fuzzy Set

Contact Info

Product

Resources

About