Civil Engineering Department, Haldia institute of technology, West Bengal, India email:payelce@gmail.com Electricity is the primary source of power generation in the society, generation of which has caused rapid depletion in the natural resources such as coal. Also emission of huge amount of greenhouse gas, mainly carbon dioxide due to the generation of electricity have led to the evolution of green technologies in the environment. Among some green technologies solar panels have emerged as sustainable power generators for the environment. Solar panels are seemed to be the next generation renewable energy sources in the world which can eliminate the use of coal. Solar panels are however seen as promising green energy sources to charge semi-active dampers of structures subjected to stochastic excitations. Advanced control based feedback devices are important for sustainable renewable energy systems especially in solar panels. Specifically, they can guarantee safe working conditions of the platform subject to various forms of environmental loads like wind and seismic wave. This work proposes sustainable energy chargers such as solar panels to charge the semi-active damper to eliminate the dependency on constant power sources, that will cut down the installation, operational, and maintenance costs for the control systems. The objective of the present study is to develop semi-active magnetorheological (MR) damper control systems to obtain the controlled response of structures subject to seismic loads and optimize the power requirement of the control systems using solar panels. A novel control algorithm with a new semi-active control algorithm consisting of Linear Quadratic Gaussian algorithm will be developed for performance improvement of solar panel charged control system. The coherence of the developed sustainably charged semi-active MR damper in reducing dynamic excitations of the structures is investigated considering the optimum location of the MR damper. The performance of the sustainable green energy harvesting mechanism along with proposed optimal control performance during excitation is evaluated. It may be noted here that use of conventional electricity is totally avoided from the consideration of Green technology i.e. solar panels.