Optimal Forecasting and credibility based Assessment of a standalone system to comprehend Biomass/Wind/Solar in contextual of rural India

Growing assets in the grid extension in rural areas originates the inspiration for a stand-alone system that is reasonably profitable and resourceful for meeting the load demand. Some places in rural areas are not reachable by the grid connectivity a demand arises for a standalone system. Various renewable energy sources such as biomass, wind, and solar are easily available and accessible in these areas for utilization and production of electricity to fulfill the energy demand. In this paper, the Integration of a biomass system along with wind and solar is considered to form a hybrid power system. This system is designed to meet the load demand of a small residential area located near a village consisting of 35–40 houses where grid supply is not accessible and has a peak load demand of around 100 kW while considering the reliability and economy of the systems. The gasification-based biomass system is integrated with solar and wind, which are used for the production of energy to process the agriculture residues and garbage available, which can be used as a fuel, that is, biomass for this system. The particle swarm optimization technique is used for the optimum size of the microgrid. The levelized cost of energy and the system’s annualized cost are key parameters for the economic evaluation of the hybrid system. The levelized cost of energy for the proposed system is found to be lowest for scenario-3 (Biomass-wind) at 0.0711$/kWh while preserving the reliability at 95.0073%, which is used as a system constraint in this study.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-01
DOI
https://doi.org/10.2516/stet/2025008/pdf
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

Optimal Forecasting and credibility based Assessment of a standalone system to comprehend Biomass/Wind/Solar in contextual of rural India

Springer Link (Chiba Institute of Technology)
Hybrid Renewable Energy Systems
article

Optimal Forecasting and credibility based Assessment of a standalone system to comprehend Biomass/Wind/Solar in contextual of rural India

article en

Abstract

Growing assets in the grid extension in rural areas originates the inspiration for a stand-alone system that is reasonably profitable and resourceful for meeting the load demand. Some places in rural areas are not reachable by the grid connectivity a demand arises for a standalone system. Various renewable energy sources such as biomass, wind, and solar are easily available and accessible in these areas for utilization and production of electricity to fulfill the energy demand. In this paper, the Integration of a biomass system along with wind and solar is considered to form a hybrid power system. This system is designed to meet the load demand of a small residential area located near a village consisting of 35–40 houses where grid supply is not accessible and has a peak load demand of around 100 kW while considering the reliability and economy of the systems. The gasification-based biomass system is integrated with solar and wind, which are used for the production of energy to process the agriculture residues and garbage available, which can be used as a fuel, that is, biomass for this system. The particle swarm optimization technique is used for the optimum size of the microgrid. The levelized cost of energy and the system’s annualized cost are key parameters for the economic evaluation of the hybrid system. The levelized cost of energy for the proposed system is found to be lowest for scenario-3 (Biomass-wind) at 0.0711$/kWh while preserving the reliability at 95.0073%, which is used as a system constraint in this study.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 53%
Hybrid Renewable Energy Systems
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Optimal Forecasting and credibility based Assessment of a standalone system to comprehend Biomass/Wind/Solar in contextual of rural India · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS