Description

Version Software: HomerPro-3.18.4 Build_36

HOMER Pro: The Global Standard for Microgrid Design & Optimization

Optimize your renewable energy projects with HOMER Pro (Hybrid Optimization Model for Multiple Energy Resources). Originally developed at the National Renewable Energy Laboratory (NREL), HOMER Pro is the premier software for designing and analyzing microgrids and distributed energy systems, from rural off-grid villages to grid-connected commercial facilities.

Why Choose HOMER Pro?

HOMER Pro simplifies the complexity of evaluating various energy combinations. It uses a powerful optimization engine to determine the most cost-effective configuration of solar, wind, batteries, generators, and other energy sources. By simulating a year of operation at minute-level intervals, it provides precise data on the Net Present Cost (NPC) and Levelized Cost of Energy (LCOE).

Key Features

• Powerful Optimization Engine: Compare thousands of system configurations in a single run to find the least-cost solution.

• Diverse Component Library: Model PV arrays, wind turbines, fuel cells, batteries (lithium-ion, lead-acid), hydro, and conventional generators.

• Sensitivity Analysis: Understand how variables like fuel price or solar radiation impact your project’s long-term viability.

• Grid Integration Tools: Analyze grid-connected systems, including net metering, demand charges, and time-of-use (TOU) rates.

• Reliable Resource Data: Built-in integration with NASA and NREL solar/wind databases based on your project’s GPS coordinates.

• Professional Reporting: Export detailed PDF reports and CSV data for stakeholders, investors, and technical teams.

System Compatibility

Perfect For

• Renewable Energy Engineers: Designing hybrid systems for remote locations or industrial sites.

• Project Developers: Assessing the financial feasibility and ROI of microgrid investments.

• Utility Planners: Evaluating the impact of distributed generation on the existing grid.

• Researchers & Academics: Conducting high-fidelity simulations for sustainable energy studies.