Details

Autor(en) / Beteiligte

• Kumar, Anurag
• Aditya Veer Gautam
• Kumar, Rajneesh
• Dixit, Shivangi

Titel

COST EFFECTIVE METHODOLOGY FOR HARNESSING RENEWABLE ENERGY IN REMOTE AREAS

Ist Teil von

• NeuroQuantology, 2021-01, Vol.19 (7), p.398

Ort / Verlag

Bornova Izmir: NeuroQuantology

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• Sustainable but also environmentally friendly. Renewable energy sources such as solar, wind, hydro, and biomass have emerged as viable options to meet the growing energy demands of rural areas. These sources not only provide clean and green energy but also have the potential to create employment opportunities and boost local economies. Investing in renewable energy infrastructure in rural areas can help bridge the energy gap and improve the quality of life for millions of people. It can also reduce dependency on imported fossil fuels, enhance energy security, and mitigate the effects of climate change. Furthermore, promoting renewable energy in rural areas can empower communities to become self-sufficient and resilient in the face of natural disasters or other disruptions to traditional energy sources. By harnessing the power of nature, we can create a more sustainable future for all while ensuring equitable access to reliable and affordable energy for everyone. The optimization model takes into account the variability of renewable energy sources such as solar, wind, and biomass, as well as the energy demand of the village. By considering factors such as energy storage capacity, system reliability, and environmental impact, the model can determine the most cost-effective and efficient combination of renewable energy technologies to meet the village's energy needs. Additionally, the goal programming method allows for trade-offs between cost and efficiency to be made in order to find the best overall solution. This approach ensures that the Integrated Renewable Energy System is not only economically viable but also sustainable in the long term. Overall, this optimization model provides a valuable tool for decision-makers looking to implement renewable energy systems in remote areas. By maximizing the use of available resources and minimizing costs, it can help bring clean and reliable energy to communities that may otherwise be underserved. The aforesaid method is applied to a village selected for study. Cooking, lighting and mechanical energy requirements of the village are estimated along with the available renewable resources and the method is applied to size the renewable energy conversion system (RECS).