In the face of escalating global temperatures and the ever-pressing need for sustainable cooling solutions, the convergence of renewable energy technologies and advanced control systems has opened new avenues for innovation. One such promising development is the Hybrid Grid-Solar Indirect Evaporative Cooling system, enhanced with Neural Network Pulse Width Modulation (PWM) Blower/Fan Control. This integrated approach combines the benefits of solar energy harnessing, indirect evaporative cooling technology, and artificial intelligence-driven control mechanisms to deliver efficient and environmentally conscious cooling solutions. Traditional cooling methods, especially those reliant on fossil fuels, contribute significantly to energy consumption and greenhouse gas emissions, exacerbating the challenges posed by climate change. In response, there has been a growing emphasis on adopting renewable energy sources and optimizing cooling technologies to achieve greater energy efficiency and reduce environmental impact. With the increase in average global temperatures force cooling is turning out to be intensively required in industry, households, buildings, malls etc. With the growing energy crisis & green house warming reliance on air conditioning alone may worsen the problem thus a highly energy efficient indirect evaporative cooling system is proposed which can provide cooling & comfort much better than direct cooling in much lower energy consumption than air conditioning. The usage of solar energy as primary power source, enable greener footprint & grid subsidization allows for reliable operation when solar energy is deficit. Also control of both blowers/fan. Evaporative & air flow, by artificial intelligence in accordance with temperature & humidity parameters allows for light control often temperature range & humidity induced along with saving on energy consumption.

Grid Solar, Evaporative Cooling, ANN PWM fan control