Off and Onshore Technologies in New Materials for Sun Energy Applications Using Markov Chains Approach

Abstract

Objective: The objectives of this research work are to: determine the major sources of available green energy to be harnessed for the community benefit, generate an energy optimization control system that will control deforestation impact and help mitigate climate change in general. Methods: The method of the research involved: the primary data which were collected using a structured questionnaire. The finite stage method of Markov Chains was applied for sub-optimal and optimal solutions. The said application is a dynamic programming, which comprised of: with and without maintenance models. Results: The result showed that wind energy had negative (-) value of ₦1,015 trillion, Solar energy had ₦150.35 billion, hydropower had ₦158.90 billion, Biogas had ₦146.17 billion, and Wave energy had ₦52.96 billion. Conclusion: The work concluded: (i) that Hydropower has the highest (surplus) returned on investment of about ₦158.90 billion, followed by Solar energy of ₦150.35 billion, Biogas of ₦146.17 billion, Wave energy of ₦52.96 billion and Wind power of negative value (- ₦1,015 trillion) deficit which should be used for small irrigation agriculture of about 30 hectares only, (ii) that there should be no maintenance in the 5-year green-energy sources of minimum capacity utilization for Ideato, Orlu, Onuimo, Owerri and Mabaitoli local government areas respectively, (iii) the Green Energy Regulatory Council be set up by the government to encourage sources to terminate deteriorating landscapes in the Southeast region and (iv) the use of green energy sources by the communities will help to balance the ecosystem and the water cycle, thereby restoring our climate.