A Decision-Support System for Renewable Energy Planning in India Based on the Weighted Sum Method

Energy plays a crucial role in the economic development of any nation, including developing countries like India. However, India faces a significant hurdle in its development due to a shortage of electricity. In recent years, the country's energy consumption has been rapidly increasing due to population growth and economic progress. This rapid growth has created a high demand for electricity, which is primarily met by coal power plants, thereby putting pressure on fossil fuel resources. The reliance on coal-based power generation has detrimental effects on the environment, both locally and regionally. Therefore, it is essential to enhance energy security while simultaneously reducing greenhouse gas emissions. One viable solution is the utilization of renewable energy sources, which are environmentally friendly. In the current energy landscape, it is imperative to effectively harness the potential of renewable energy. This approach not only provides a sustainable power supply but also mitigates the negative environmental impacts associated with fossil fuels. The need to harness energy from renewable sources has become more apparent due to the increasing demand for energy and the adverse effects of fossil fuels on the environment. The world is currently facing a critical phase where traditional and finite energy sources are being depleted rapidly, leading to a greater focus on renewable and sustainable energy sources. These renewable energy resources, such as solar, wind, biomass, and small hydro, are abundant and non-depletable. They have the potential to effectively meet the growing energy demand while being environmentally friendly. The progress made in wind power, solar energy, small hydro, biomass power, and co-generation in recent years has shown significant potential in generating electricity for the grid. The weights undergo systematic changes, resulting in a different optimal outcome. Initial estimates are derived from the obtained solutions. Weights assigned a value of 0 serve as non-specific reference points, and the most valuable responses can be generated in the presence of any weak similarity. It is important to note that the weighting method is specifically designed for optimization in the early stages of the sum system's development. we have taken the alternative : solar , wind, hydro biomass, geothermal.we have taken the evaluation preference : Investment cost, O&M cost, electric cost, efficiency, capacity factor, technical maturity, GHG emission, land use, job creation, social acceptance from the result it is seen that Renewable Energy Source and is The value of the dataset for Software Renewable Energy Source in Weighted sum method (WSM) method shows that it results in hydro got first rank and geothermal is last rank.