Home » Services » Model and optimize » Power plant layout optimization

Power plant optimization

Power plant layout optimization is a crucial step in the development phase to maximize energy efficiency and profitability while reducing costs.

We optimize wind farms and urban renewable energy systems during their initial development, repowering or expansion.

We tailor our optimization recommendations to your goals, constraints, and site characteristics.

Discover

Maximize your power plant’s profitability.

Our approach encompasses several parameters, including the judicious selection of wind turbine or solar panel types based on the site characteristics and on your objectives, their optimal positioning within the park or built environment, and the improvement of the associated road network.

Optimization can be driven by different criteria such as production (energy production, capacity factor or full load hours), financial costs (Levelized Cost of Energy (LCOE) or investment per kWh) or by considering both production, LCOE and investment costs to reach the ideal compromise. The constraints of the terrain, regulations or your data are taken into account to adapt the layout in the most effective way.

We are extending this approach to optimize the positioning of small urban wind turbines, as well as photovoltaic or thermal panels in urban areas, contributing to a more efficient integration of renewable energy into the urban environment.

Wind turbine layout optimization

Small wind turbine layout optimization

Solar panel layout optimization

in urban area

News

White paper: Atmospheric boundary layer modelling

White paper: Atmospheric boundary layer modelling

From the general characteristics of the atmospheric boundary layer to the impact of thermal effects and stability on turbulence, passing through the Monin-Obukhov’s similarity theory, this white paper covers all the knowledge needed for the atmospheric boundary layer modeling.

read more

Working at Meteodyn

Explore new career opportunities by reviewing our job openings.