Managing greenhouse gas emissions using a neural network from gas generating plants

Ufa State Petroleum Technological University, Sterlitamak 453103, Russia

^* Corresponding author: kulakova87@list.ru

Abstract

This article describes a method for developing a neural network model for the control system of gas generator sets, which are an efficient and environmentally friendly way of energy production. Gas generator sets are used to convert solid fuels such as coal or wood into synthesis gas, which can then be used to generate electricity or other types of thermal energy. The article describes a method for developing a neural network model for a wood chip gas generator for preparing a fuel recipe. The article also discusses the advantages of gas generator sets, such as the possibility of using inexpensive and affordable fuels, reducing emissions of greenhouse gases and other harmful substances, as well as improving energy efficiency. The article provides useful information about gas generator sets and their role in providing environmentally friendly and efficient energy.