Air Pollution Control Engineering

Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions.

Extended collection of automotive engineering related books. Example: Gas Turbating Combustion, Advanced Air and Noise Pollution Control, Automotive Air Conditioning and Climate Control Systems, Automotive Computer Controlled Systems.

Collection of automotive engineering related books. Example: Gas Turbing Combustion, Advanced Air and Noise Pollution Control, Automotive Air Conditioning and Climate Control Systems, Automotive Computer Controlled Systems.

As East and South Asia continue to develop economically, production of electrical energy must keep pace with demands of growing industries and burgeoning populations. Roughly three-fourths of the energy in Asian cities will come from thermal power plants burning indigenous coals. Some of these plants will be modem, state-of-the-art units, owned and operated by private interests, but most will be state owned and operated under less than optimal conditions. Resulting air pollution, creation of greenhouse gases and solid residuals will have ever greater environmental impact. In order to keep emissions at an absolute minimum, new power plants will have to include air pollution control devices. Older plants may have to be shuttered or retrofitted accordingly. Eventually, all new and retrofitted plants must meet the highest efficiency standards so that coal burning can be kept to a minimum.