Semtech’s LoRa Devices Optimize Building Management Systems in U.S.

Semtech Corporation (Nasdaq: SMTC), a leading global supplier of high performance analog and mixed-signal semiconductors and advanced algorithms, announced that Sweden-based Nordic Propeye, an end-to-end Internet of Things (IoT) solutions provider for smart buildings, has integrated Semtech’s LoRa devices and the LoRaWAN standard into its new HVAC optimization solution being launched today in the U.S. marketplace to reduce energy consumption.

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Nordic Propeye’s HVAC solution leverages artificial intelligence to achieve 15-30% energy savings (Graphic: Business Wire)

Global pressure on energy prices, an increased focus on air quality and efforts to reduce carbon emissions are three factors prompting real estate owners to seek innovative IoT solutions to help manage their properties with building management systems. The U.S. Department of Energy estimates commercial buildings account for 35% of electricity consumed in the U.S. and generate 16% of the country’s carbon dioxide (CO2) emissions.

“Incorporating LoRa devices and connecting our solutions with LoRaWAN has proven extremely successful in achieving 15-30% energy savings for our customers since launching our European OY1210 HVAC optimization solution in 2019,” said Stefan Lindgren, CTO of Nordic Propeye. “We are excited to have adapted our solution to meet U.S. regulations and look forward to playing a key role making America’s real estate sector more efficient and sustainable.”

The U.S. version, OY1211, leverages LoRa to autonomously manage a facility’s control of HVAC systems using data from wireless sensor devices that continuously monitor CO2 levels, temperature, humidity, and real-time room occupancy. The adaptive reporting functionality of the solution can detect rapid changes in CO2 levels within less than a minute and the solution sends a trigger to the HVAC system every 15 minutes. The solution also leverages weather forecasting data and artificial intelligence (AI) technology to continuously learn and predict the temperatures of HVAC zones. The predictive maintenance feature alerts building operators when system anomalies arise to prevent equipment failures.