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vaisala oyj- a shs (VAIAS) Details

Vaisala Oyj engages in the environmental measurement business serving weather related and industrial markets. The company operates through Weather and Controlled Environment segments. The Weather segment provides weather technology. It serves weather-dependent markets where weather data is essential to run operations, such as meteorological institutes, roads and rail authorities, airport organizations, defense forces, energy, and maritime. The Controlled Environment segment serves customers who operate in areas where the measurement of precise environmental conditions is required to enhance operational quality, productivity, and energy savings. The company’s products include automatic weather stations, aviation weather systems, carbon dioxide instruments, ceilometers, data loggers, dew point instruments, distance measurement instruments, highway advisory radios, humidity instruments, meteorological data management systems, and moisture in oil instruments. Its products also comprise multi-weather sensors, present weather sensors, pressure instruments, rail weather systems, rain and precipitation sensors, road weather systems, sounding systems and radiosondes, surface sensors, thunderstorm and lightning detection systems, traffic analyzers, visibility sensors, weather radars, wind measurement systems, and wind sensors. The company also offers project services, maintenance services, data services and solutions, training services, modernization services, and technical support services. It has operations in Finland, Brazil, the United States, Canada, France, the United Kingdom, Germany, China, South-Korea, Sweden, Malaysia, India, the United Arab Emirates, Japan, and Australia. The company was founded in 1936 and is headquartered in Vantaa, Finland.

1,616 Employees
Last Reported Date: 10/22/14
Founded in 1936

vaisala oyj- a shs (VAIAS) Top Compensated Officers

Chairman of Group Business Management Board, ...
Total Annual Compensation: €600.0K
Compensation as of Fiscal Year 2013.

vaisala oyj- a shs (VAIAS) Key Developments

Vaisala and US Department of Energy to Improve Wind Forecasting in Complex Terrain Through $2.5 Million Study

Vaisala has been selected by the US Department of Energy to coordinate a $2.5 million project to improve wind energy forecasting in complex landscapes and terrain. As the wind energy industry expands globally, it continues a steady migration into increasingly remote and challenging territories. While mature markets have proven that weather data and modeling greatly enhance the predictability of wind production, particularly in flatter, more simple areas, atmospheric phenomena encountered in more complex geographies worldwide have an impact on wind variability, the reliability of short-term forecasting, and the overall performance of wind energy projects. This increased variability generates uncertainty that may not only affect grid integration and the ability of developers and operators to fully exploit abundant wind resources in mountainous areas, but also deters international investors from promising, emerging markets like Latin America, Asia Pacific, and Africa, where complex terrain poses a consistent challenge. The Wind Forecasting Improvement Project 2 (WFIP2) is a DOE initiative targeted at enhancing the reliability of wind forecasting around the world, but specifically in challenging areas. By doing so it seeks to reduce the cost of grid integration and help operators optimize performance through more effective short-term modeling of wind variability. As part of this project, Vaisala and its partners have been tasked with conducting a comprehensive 3-phase study of atmospheric phenomena in complex terrain, with the end goal of enhancing the widely used Weather Research and Forecasting (WRF) model and the National Oceanic and Atmospheric Administration's (NOAA) Rapid Refresh (RAP) and High Resolution Rapid Refresh (HRRR) models. Mr. Peterson will play a supporting role to the study team steered by Vaisala and comprising of the National Center for Atmospheric Research, the University of Colorado Boulder, Sharply Focused, Lockheed Martin, Texas Tech University, the University of Notre Dame, Iberdrola Renewables, Southern California Edison, Cowlitz County Public Utility District, Eurus Energy, Bonneville Power Administration, and Portland General Electric. The project will focus on the rugged Columbia River Gorge region between the states of Washington and Oregon; an area specifically selected because it experiences nearly all of the identified atmospheric phenomena known to impact wind energy. The efforts of Vaisala's team will be strengthened through significant collaboration with NOAA and DOE national laboratories. Following a design and planning phase, Vaisala and the wider WFIP2 team will deploy extensive measurement equipment for an 18-month period, starting in mid-2015, to first analyze the specific environmental characteristics affecting wind flow patterns, ranging from soil moisture and surface temperatures to the unique topographical features of mountain-valley regions. These observations will then be used to update and improve the computational and atmospheric physics that underpin current forecasting models. Enhanced model predictions produced during the third phase of the project will then be compared with baseline forecasts produced by existing models to evaluate the success of the initiative. The work carried out in this study will further improve the accuracy of short-term 0-15 hour wind power forecasts in mountainous areas across North America and worldwide. Furthermore, Vaisala will lead a team tasked with developing decision support tools to enable wind energy operators to quantify wind variability and performance uncertainty on an unprecedented level.

Windlab Selects the Vaisala Triton to Support African Wind Development

Vaisala announced that Windlab, is using the Vaisala Triton Sonic Wind Profiler, a ground based remote sensing system, to assist with ongoing and critical site selection work in Africa. With the continent registering a boom in renewable energy deployment in a number of countries, and South Africa in particular working to reduce its dependence on coal fired power plants, developers must quickly and efficiently make key site selection decisions for development. The Vaisala Triton can be used either in locations where meteorological masts might be inappropriate or difficult to install, or used in conjunction with these masts to identify site suitability issues and gain a more detailed assessment of a project's resource potential. Tritons are also able to operate autonomously, powered in most cases by on-board solar panels, enabling them to be used in remote areas with no access to the power grid. These capabilities allow Vaisala to better assist developers and investors in unlocking growth in emerging markets, and gain improved perspectives on project risk. Having previous experience using the Vaisala Triton in its global operations, Windlab clearly understood the strategic advantage of deploying them in a market like South Africa. Several potential sites were initially identified in the region through early stage wind modeling. However, in order to finalize development and investment decisions, it was necessary to characterize the wind profile of these sites in more detail, gather wind measurement data over large distances, and monitor multiple locations simultaneously. For this the Tritons were invaluable.

Vaisala Signs Contract for Six Weather Radars

Vaisala has signed a contract to deliver six weather radars to its long-term customer in Asia Pacific. The contract includes Dual Polarization Doppler Weather Radars WRK200 equipped with klystron transmitter technology, installation services and training. The deliveries start in 2016 and will be completed by the end of 2018. The value of the deal is EUR 8.9 million. A weather radar is the single most effective device to observe rainfall. A dual-polarized radar distinguishes between different types of rainfall and between rain and non-meteorological objects, such as birds and insects. It also measures the intensity of precipitation more accurately, providing valuable information for local short-term weather forecasts, for example.


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Price/Cash Flow 25.0x
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