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Development of a Web-Based Methodology for Sustainable Energy Generation from Chemical Waste Treatment
* 1 , 2 , 3
1  Department of Computer Science. Institute of Exact Sciences, Federal University of Alfenas, Alfenas, Minas Gerais State, Brazil
2  Institute of Exact Sciences, Federal University of Alfenas, Alfenas, Minas Gerais State, Brazil
3  Department of Environmental Science. Institute of Exact Sciences, Federal University of Alfenas, Alfenas, Minas Gerais State, Brazil
Academic Editor: Letizia De maria

https://doi.org/10.3390/ASEC2023-15816 (registering DOI)
Abstract:

Sustainability is crucial for technological development of a country, as it is closely intertwined with daily life and functioning of public and private institutions. It is not only a demand for national sovereignty, but it also has immense potential for reducing greenhouse gas emissions and solid waste, as highlighted in conventions such as The Intergovernmental Panel on Climate Change (IPCC) and UN Sustainable Development Goals (SDGs). This work aims to develop a methodology for generating energy from the treatment of chemical waste, using a fuzzy algorithm and converting it into a web platform. Therefore, 5 methodological steps were used for the web platform development, following the methodological aspects. i. Definition of the best web-interface methodology to explore the best technological development path. ii. Construction of an interface prototype using Figma. iii. Coding-implementation of step ii. iv-Tests. v-Coding. Through this web structure using an easy-to-use fuzzy model for practical energy sustainability for small and medium-sized companies, it is expected to improve industrial energy consumption through the reuse of discarded chemical materials. Hence, this project can help society, mainly the manufacturing sector of small and medium industries, the government sector to reach the goals of sustainable development, and the environment by reducing some pollutants with toxic characteristics and high solubility.

Keywords: Chemical Waste, Web Platform, Fuzzy Logic, Energy Sustainability

 
 
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