Environmental management and machine learning: a case study in a thermoelectric power plant in Northeastern Brazil
International Journal of Development Research
Environmental management and machine learning: a case study in a thermoelectric power plant in Northeastern Brazil
Received 16th June, 2021; Received in revised form 10th July, 2021; Accepted 25th August, 2021; Published online 27th September, 2021
Copyright © 2021, Wallison Pereira dos Santos et al., This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Many activities can cause significant environmental impacts on the environment. A large part of the thermoelectric plants uses fossil fuels to generate energy, but they can also release greenhouse gases into the environment. Given this scenario, it is essential to have an effective environmental management system for monitoring risks within a plant. This research aimed to develop an intelligent system, based on machine learning, which allows predicting the level of risk of failure of components in the installation, in addition to predicting the level of environmental risk, in real time, of the conditions of assets and of plant events of a thermoelectric powerplant. Thus, the company has all its environmental assets implemented within a system that alerts it to deadlines, environmental conditions and historically monitors all its actions aimed at environmental preservation of the environment in which it operates.
