Through the development of smart solutions for a sustainable future, Talkpool reduces consumption in both the telecom- and building industries. In the telecom industry, tower companies struggle with an unreliable- or unavailable power grid supplying remote sites. Often these sites are therefore powered by diesel generators. Talkpool makes the industry more sustainable through the installation of eco-friendlier energy sources, such as back-up batteries and solar parks. Additionally, the integration of a smart dynamic energy selection solution, which automates the prioritization of energy sources based on availability, eco- friendliness and cost, results in a steep reduction in diesel generator use and an increase in the use of renewable energy by telecom sites.
In the real estate sector, Talkpool optimizes HVAC systems by enhancing the system with IoT sensor devices and controlling the system with an AI-engine. The sensor devices collect real- time data on CO2, temperature and humidity levels. In combination with external weather data, energy price fluctuations (reflecting grid peak hours) this data feeds into a machine learning algorithm, which optimizes the HVAC in the building. This accomplishes between 15 and 30% energy savings, significantly lowering the carbon footprint of the building. This solution has been successfully installed and is running in over 1 million square meters of real estate space.
Additionally, in the building industry, consumers of multi-tenant buildings often pay for a building average of the resource consumption, rather than what they’ve actually consumed individually, and as a result they become very wasteful. Talkpool develops, manufactures and installs smart consumption meters that measure for example electricity, heating and water consumption and transmit the collected data over internet. This allows for real-time feedback of consumption data to the consumers, making them aware of any wasteful usage and allowing for comparisons with neighborhood averages to make consumers more socially aware. Additionally, the data can be used for individual tenant invoicing, further incentivizing them to lower their consumption of resources.