Litcius/Paper detail

Sustainable Energy Consumption Model for Textile Industry Using Fully Intuitionistic Fuzzy Optimization Approach

Sajida Kousar, Urooj Shafqat, Nasreen Kausar, Dragan Pamučar, Yeliz Karaca, Mohammed Abdullah Salman

2022Computational Intelligence and Neuroscience18 citationsDOIOpen Access PDF

Abstract

Consumption of renewable energy is on the rise because new technologies have made it cheaper and easier to meet the needs of a long-term energy source. In the present study, the idea of optimal usage of sustainable energy is discussed, taking into consideration the environmental and economic conditions that exist in Pakistan's textile manufacturing industry. By taking into account the regional potential for the application of renewable energy resources, solar energy generators are taken into consideration, and a fully intuitionistic fuzzy (FIF) textile energy model is constructed. Using the FIF model to determine the optimal distribution of solar energy units resulted in a tolerable number of unused energy units. These units may be returned to the central power supply station, which would save both money and energy.

Topics & Concepts

Renewable energyEnvironmental economicsEnergy consumptionComputer scienceConsumption (sociology)Energy (signal processing)Energy supplySustainable developmentSolar energyFuzzy logicProcess engineeringEconomicsEngineeringMathematicsElectrical engineeringArtificial intelligenceStatisticsLawSocial sciencePolitical scienceSociologyOptimization and Mathematical ProgrammingMulti-Criteria Decision Making