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Sustainable Energy Consumption Model for Textile Industry Using Fully Intuitionistic Fuzzy Optimization Approach
Sajida Kousar1, Urooj Shafqat1, Nasreen Kausar2
1Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, Pakistan.
Computational Intelligence and Neuroscience
|August 29, 2022
Summary
This study explores optimal renewable energy use in Pakistan
Area of Science:
- Sustainable energy solutions
- Industrial energy management
- Environmental economics
Background:
- Rising global energy demands necessitate sustainable alternatives.
- Pakistan's textile industry faces environmental and economic pressures.
- Integration of renewable energy is crucial for industrial sustainability.
Purpose of the Study:
- To investigate optimal sustainable energy utilization within Pakistan's textile sector.
- To develop a model for efficient renewable energy distribution.
- To assess the economic and environmental viability of solar energy integration.
Main Methods:
- Development of a fully intuitionistic fuzzy (FIF) textile energy model.
- Analysis of regional renewable energy potential, focusing on solar.
- Optimization of solar energy unit distribution using the FIF model.
Main Results:
- The FIF model determined an optimal distribution for solar energy units.
- A tolerable number of unused energy units were identified.
- Potential for returning surplus energy to the central grid was established.
Conclusions:
- Optimal solar energy deployment can enhance efficiency in Pakistan's textile industry.
- The FIF model provides a viable framework for managing renewable energy resources.
- Surplus energy can be fed back to the grid, offering economic and energy savings.
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