With flexible access to the renewable energy expertise, resource data, and computational horsepower of Vaisala 3TIER Services, you and your clients can make better decisions about renewable energy policy, investment, and integration. Building on our reputation for the best customer service in the industry, we leverage our in-house capabilities to serve the needs of governments, global organizations, and the engineering and consulting community.
Vaisala's use of NWP and other weather models is highly specialized, and we have unmatched expertise in applying them to the problem of optimally locating, assessing, and forecasting wind, solar, and hydro resources. In addition, we have developed many proprietary methodologies that further enhance the effectiveness of models for these applications. We also add substantial value by transforming vast amounts of output data into relevant, actionable information that drives decisions about renewable energy policy, investment, and integration.
- Grid integration studies
- Wind and solar forensic analysis
- Extreme weather analysis and probability studies
- Both large and small R&D efforts focused on renewable energy forecasting or assessment
- Customized weather simulations
- Offshore wind resource assessment
- Location-specific hydrologic analysis
- Customized solar project assessments
- Climate change assessments
- Access to Vaisala's global data archives to support unique business needs
Examples of recent projects include:
Vaisala has been selected through competitive tenders to both lead and support large-scale renewable energy studies. These include many national integration studies in the United States and Canada as well as oversees for government agencies in Asia and the Middle East. Our most recent examples include the Pan-Canadian Wind Integration Study conducted by GE Energy Services in partnership with Vaisala and the DOE-funded Wind Forecasting Improvement Project V2, which Vaisala is leading as well as providing modeling and measurement expertise.
Offshore Resource Assessment Study
Vaisala's proprietary wind modeling technologies can be applied for offshore wind resource assessment. Vaisala has created high-resolution meteorological wind resource datasets for many offshore wind projects allowing stakeholders to understand the spatial and long-term temporal variability of their offshore wind resource. Vaisala's experience in offshore assessment includes generating wind maps of offshore areas, long-term temporal analysis of the offshore resource, and project-specific power generation studies.
NWP model simulations are specifically optimized for offshore areas. Vaisala incorporates publicly available point meteorological data (buoy data, offshore platform data, etc.) to validate and correct the modeled wind resource dataset. Vaisala also incorporates satellite-derived observational wind speed data to correct for model bias at locations far offshore. Incorporating observational data sources allows Vaisala to correct for potential deficiencies in the raw model dataset and also to produce validation statistics. This additional processing results in a validated, high-quality offshore wind resource dataset that can be used with confidence.
Climate Change Analysis
Vaisala Advanced Applications has extensive expertise in modeling and performing state-of-the-art climate change assessments. Our experience allows us to help clients analyze a variety of climate change-related concerns. Previous work includes a 2008 Vaisala 3TIER-Services analysis of the effects of climate change on near surface wind speed.
Conducted on a global scale, the results of the study were published in the July 2008 issue of North American Windpower. This article provided an overview of the expected changes in wind speed values as simulated by several climate models. In addition to large, region-wide analysis, Vaisala Advanced Applications can also perform climate change assessments for specific projects.
We have also analyzed the effects of climate change on hydropower generation. Using hydrologic and reservoir system simulation models, we analyzed the impact of climate change on a variety of future power system variables including storage levels, firm yield, and energy and capacity values. This methodology can be applied to watersheds worldwide.