AI Optimized Solar Tracking System for Green and Intelligent Building Development in an Urban Environment

Over the last decade, the cost of solar panels has gradually been reduced with the advancement of pertinent technologies and production in a large scale for extended applications as a viable means to drastically reduce carbon emissions from fossil fuel power generating facilities. While the concept of green buildings has been focusing on the energy savings in the past, installation of solar panels onto the rooftops of buildings presents an opportunity to generate incomes as a viable economic upside incentive to scale up the utilization of solar panels among buildings in an urban environment. Against this background, this chapter points out the latest solar tracking technologies that can be further optimized by AI machine learning for improved efficiency as well as economic returns from these capital investments into such technological infrastructure integrated with smart grid and energy storage facilities. The current limitation in the penetration of solar power among urban cities can be tackled by entrepreneurial firms to capitalize on the potentials of delivering an integrated solution by conducting both technical and economic feasibilities in a systemic manner.