ACOA Invests $2.4M in Green Power Labs

• - 6月 17, 2013

Atlantic Canada Opportunity Agency (ACOA) Invests $2.4M in Green Power Labs SolarSatData for Buildings 

Today, Honourable Peter MacKay, Minister of National Defense and Regional Minister for Nova Scotia, announced investments of close to $11.3 million in support of five innovative research and development (R&D) projects in Nova Scotia under the 2012 Atlantic Innovation Fund (AIF) competitive round.

Green Power Labs SolarSatDataTM for Buildings received an investment of $2,415,420 for its project to develop advanced control technology for building energy management in regard to heating, ventilation, and cooling. This technology will combine weather forecasts, 3D location parameters, and building behavior modeling to better instruct building energy management systems, resulting in minimized energy consumption and improved energy efficiency.

Effective predictive analytics tools that allow for better management of building energy are required if we are to make significant reductions in our environmental footprint, commented Dr. Alexandre Pavlovski, President and CEO of Green Power Labs. He added commercial and residential buildings are responsible for 33 per cent of total energy use in Canada, and emit 35 per cent of the nation’s greenhouse gas (NRCan 2000). By 2025, buildings worldwide will be the largest consumers of global energy, using as much power as the transportation and industrial sectors combined.

As building heating and cooling is the single largest item in building energy consumption; and frequently is purchased at peak rates; Green Power Labs technology is expected to reduce energy consumption of buildings by up to 19%.

Green Power Labs provides services directly and through its wholly owned subsidiaries to clients in United States, Canada, Australia, Middle East, Europe and China.

Picture: Green Power Labs advanced, proprietary platform for forecasting solar power is uniquely positioned to forecast solar on building roofs and walls; a significant factor in heating and cooling demand.