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Green Energy Research, Inc., has been conducting research and development of devices in the field of renewable energy for more than a decade. Serious global concerns over the security, stability and reliability of the world’s energy supply combined with constant fluctuation in oil prices have resulted in a concerted effort in the research and development of renewable and cost effective energy sources.
Leading renewable energy sources have been discovered in the biomass of biological materials derived from organic matters such as wood chips, forest debris, and farm waste, which are found in abundance in the United States. Now there is a very strong movement worldwide in the development of technologies that allow the coupling of biomass gasification and energy producing systems to generate combined heat and power. Green Energy Research, Inc., is an industry leader in making information concerning these technologies available to your classrooms.
You can teach the science, technology, engineering and mathematics, STEM, by utilizing GER’s innovative Renewable Energy KITS. These kits cover solar, wind and hydrogen energy cycles and correlate to regional and national standards. All of our kits are manufactured in the United States.
GER’s science kits come fully equipped with a suite of sensors for laboratory work with no additional supplies necessary. There are over 50 types of sensors available. Utilizing our innovative mobile sensor platform, MOBY, students and instructors alike are able to capture the sensor data on their mobile devices such as tablets and phones for further analysis and validation with their favorite data analysis software.
All GER products are designed for educational use ONLY. Our equipment is not designed nor recommended for any industrial, commercial, medical, diagnostic and research processes such as control of a manufacturing process, industrial and commercial testing of any kind, life support or patient diagnosis.
The purchase of our programs by an educational organization (i.e. school, college or university) entitles it to install our apps on every computer in their school, college department or network.
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system. Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.