Renewable resources account for only a small percentage of the energy the world consumes. The drive to reduce our dependence on fossil fuels and produce energy from more environmentally friendly sources has led to an increasing number of projects to develop these resources.
The use of our dataloggers in renewable-energy applications is nothing new, but the recent surge of interest in renewable resources has triggered a corresponding increase in the need for quality measurements.
Because of this increased activity, we recently created a new application engineering group dedicated to supporting those who are developing or conducting research on these critical renewable resources. Our extensive experience combined with the versatility of our dataloggers can prove valuable to those who need quality measurements for their projects.
When the success of multimillion-dollar wind or solar farms can be determined by a difference of less than one percent between measured and actual values of wind speed or sunlight, some have found out the hard way that quality measurements matter. The need for making quality measurements over long periods of time, in harsh, remote sites (where renewable systems are often located), is what has attracted people to our dataloggers for years.
Below we list typical monitoring applications in four of the most common renewable-energy areas: wind, solar, hydropower, and geothermal.
Our systems are used in every stage of wind-power operations.
Campbell Scientific dataloggers are used in all types of solar energy applications, including photovoltaic, solar thermal, and concentrated solar power.
Dams require a more diverse set of measurements.
Geothermal applications typically involve measuring water temperature, level, and flow.
We look forward to providing key components that help develop renewable resources. Our new group will be actively creating resources to facilitate the use of measurement and control systems in this area.