Renewable Energy Systems Assessment:
potential, location, economics, environmental impacts.
ESS offers a range of advanced planning and decision-support
products and services in the domain of renewable energy, including
- Solar power, stochastic assessment of potential and reliability
based on very detailed (hourly, 1 km spatial resolution) 3D prognostic
and diagnostic meteorological models with global data (that can drive detailed
nested grid local models) for the last ten years, and monthly
climate reference data for 30 years, 1960 to 1990;
- Wind power detailed 3D wind fields derived
from the same data sources, down-scaled to local conditions
including data assimilation from available local meteorological
observations, and including multi-criteria ranking of potential sites;
- Hydropower again based on detailed hydro-meteorological
simulations and a dynamic rainfall-runoff model for the prediction
of daily flow from arbitrary catchments upstream of any potential
hydropower installation, including multi-object,
multi-criteria optimization of water allocation and use;
- Biomass site suitability analysis for energy crops,
considering land use data, local land properties (e.g., soils, slope,
transportation connectivity etc.) and local hydro-meteorology
(mainly temperatures, precipitation, surface and groundwater availability).
- Energy Efficiency the by far most promissing energy source is: increased efficiency.
Based on complex optimization (multi-objective, multi-criteria, multi-horizon,
non-linear .....) energy optimization and emission reductions (GHG, CO2e)
may also generate substantial tradeable credits under the CDM scheme.