TAF PUBLISHING

The growing employment of renewable energies brought positive impact to the environment, however, is facing ef- ficiency issues, for instance, intermittency, limited store capacity, and integration problems with traditional grids, due to different supplies and demands in different regional dynamics. Today, the primary problem is not about how energy can be generated in a sustainable manner, but instead, how renewable energy storage and distribution can be optimized. This study proposes this integration as a solution of renewable energy sources in their issues regarding interactions with the main grid, limited store capacity, and intermittency issues. This study’s objective is to show the feasibility and efficiency of such integration. In pursuit of substantiating this study, energy grid models from the National Renewable Energy Lab were utilized. Numerous data, such as energy consumption levels, greenhouse gas emissions, cost, efficiency, and other data involved in energy production, storage, and transaction were input into the module where there were some assumptions in the performance of the technology (AI and blockchain) and the average values in emissions and energy usage. To prevent complication and distortion from data overload, the only renewables implemented in this module were solar PVs and hydropower. Still, to achieve diverse results under different circumstances, 2 simulation models were established for the experiment. The module output graph displayed a match in demand and production, minimal involvement of the central grid, peak shaving, and peer-to-peer trading systems, directly manifesting that the involvement of AI and blockchain technology in the integration of microgrids and VPPs lead to anticipated outcomes. In conclusion, the findings indicated from this study have shown that the following integration enhanced the usage of renewable energy. Further research could explore development of AI and blockchain technology, also executing physical integrations then eventually pilot projects of this model, as well as exploring options to optimize this idea to become universally adaptable to diverse environments. The implementation of developing regulatory frameworks in this field will bring positive outcomes such as expansion of higher efficiency usage accessibility to cheap and sustainable energy for the public.