Search

The incorporation of energy from renewable sources into the power grid is crucial for achieving sustainable and environmentally friendly power generation. This study proposes an artificial intelligence (AI)-enabled methodology for the analysis & optimization of “grid-tied solar photovoltaic (PV)-fuel cell hybrid power systems.” The research aims to demonstrate how AI techniques can assist in decision-making, improve system performance, and achieve higher levels of energy efficiency and financial viability. The study presents the results of a project focusing on a renewable energy system that feeds into the grid and powers a university building. The hybrid power system’s performance and cost were evaluated using unified approaches to modeling, simulation, optimization, and control. The findings indicate that the AI-optimized “solar PV-fuel cell hybrid system connected to the grid” offers excellent performance, meeting 74% of the building’s energy needs through renewable sources. The system also achieved a low levelled price for energy and minimise CO2 emissions, further enhancing its environmental sustainability. The proposed AI-enabled approach proves to be a promising solution for creating grid-connected renewable energy systems with significant benefits for energy efficiency, cost-effectiveness, and environmental impact.

The world's energy consumption has risen drastically in the last few decades due to the fast-growing population, urbanization which lead to increased consumption in industrialization and domestic comfort. Most of the world's energy demand is fulfilled with conventional fuels to date, but these sources are not everlasting, it will exhaust in a few years. Nuclear fuels which are used for electricity generation are also on the verge of exhaustion and the recycling process of uranium fuel is a riskier process. The world is witnessing drastic climatic changes like global warming, an increase in sea level; that result in adverse health and environmental consequences. To get the better of these problems or at least limit them to a certain level, researchers all around the world have accepted renewable energy sources as the alternative source of energy. Again the renewable energy sources are uncertain or unpredictable in nature. It is better to use hybrid sources that can counterbalance the indiscriminate nature of each other. The hybridization of renewable sources is a complex non-linear problem. Researchers have adopted different optimization techniques to find the optimal size and cost of available resources. This chapter summarizes different optimization techniques used so far which helps researchers find suitable options out of many. [ABSTRACT FROM AUTHOR]

Renewable energy sources are gradually touching everyone's life in different ways. Renewable energy sources are not only an alternative sources but an exotic option to move towards the clean and green energy. Renewable energy can bring not only carbon free energy but also provide affordable electricity to all, social equality and sustainable development. Exponential growth in population, increasing energy demand, draining of fossil fuels and environmental concerns, led to strides toward alternative sources of energy. Looking towards drastic climatic changes, India has moved forward to use renewable energy sources for electricity generation as the country has plenty of renewable energy sources. India has announced world's biggest programmes in all states for renewable energy development. This chapter summarizes the status of accessibility of renewable energy sources in India. The current status and estimated potential of renewable energy sources in India and government policies, initiatives and major achievements are summarized in this chapter. This study will be helpful for researchers, developers and investors to identify the scope of improvement in technologies for better harnessing energy from renewable resources and chart a path to expand production of power from renewable energy. [ABSTRACT FROM AUTHOR]