Solar-Wind-Battery-DG Hybrid Microgrid Simulation for a Remote School in Bangladesh

A simulation study evaluates a hybrid renewable energy system for a remote school in Baje Fulchari village, Gaibandha district, Bangladesh. The analysis, conducted by Md. Fatin Ishraque of Varendra University, models a daily load demand of 10.468 kWh with a 3.3 kW peak using HOMER software. The most economical system configuration had a Net Present Cost of USD 6,191 and a Cost of Energy of 0.125 $/kWh, reducing COE and GHG emissions by 29.85% and 69% respectively compared to conventional plants.

Use Cases

• Optimizing hybrid microgrid component sizing based on solar radiation and wind speed data.
• Evaluating the economic viability of renewable energy systems using Net Present Cost and Cost of Energy metrics.
• Assessing greenhouse gas emission reductions from renewable energy deployments in remote locations.
• Modeling energy system performance for specific load profiles, such as a school's 10.468 kWh/day demand.

Strengths

• Specific load profile data provided (10.468 kWh/day, 3.3 kW peak).
• Clear economic and environmental performance metrics reported (NPC: USD 6,191, COE: 0.125 $/kWh, 69% GHG reduction).
• Uses real-world meteorological data sourced from NASA.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Data freshness is unverified as the last update date is unknown.

Provenance

Source

Md. Fatin Ishraque, Varendra University

Collection Method

Simulation performed using HOMER software with solar radiation and wind speed data from NASA Surface meteorology and Solar Energy database.

Geography

Baje Fulchari village, Gaibandha district, Bangladesh