15.11.2023

Sensor measuring system for self-assembly: Sensaru digitalizes heating systems in less than an hour

  • Digitalize existing heating system and identify energy-saving potentials with the smart sensory measurement system from Sensaru

  • No expertise required: installed in less than an hour thanks to simple self-assembly

  • Cloud solution provides in-depth measurement data analysis, accurate monitoring, and specific instructions for energy optimization


Pforzheim, 15.11.2023 – The heat transition becomes a structural challenge for the housing industry, which cannot be mastered solely by the large-scale installation of environmentally friendly heating systems. Even older systems must be energetically optimized as quickly as possible, as the research project BaltBest of the 'Alliance for a climate-neutral residential building stock' shows. According to this, a reduction in heat consumption of up to 26 percent was possible due to various optimization measures such as the use of digital systems.

Sensory measurement systems help determine exactly where and how heating systems can be optimized. However, until now, the installation and commissioning of such systems has been costly and time-consuming. The Pforzheim-based start-up Sensaru has now developed the first self-assembled sensory measurement system. This enables real estate companies to quickly and cost-effectively digitalize their existing heating systems, identify malfunctions, and uncover energy-saving potentials.

'Without sensory measurement data, it is difficult to optimize older heating systems. The causes of excessive energy demand are simply too complex,' says Matthias Zeh, Managing Director of Sensaru. 'Our system works like a long-term ECG and enables real estate companies to finally make data-based decisions when it comes to energy-efficient refurbishment and optimization.'


Digitalize heating systems in less than 1 hour


The Sensaru measurement system consists of three components: the sensors, the gateway, and access to the cloud, where all measurement data is processed. The installation takes less than an hour and requires no expertise or new infrastructures. Simply mount the S1 sensors directly onto the heating system, connect them to the gateway, and the measurement can begin.

The sensors determine all relevant measurement values such as temperature on the pipe/in the environment, flow and return temperatures, pressure and water circuit, potential-free contacts, leakage alarm, fault messages, as well as gas and electricity meters. This allows real estate companies to not only obtain important measurement data, but also to monitor all heating systems in their portfolio in real time via the cloud.


Cloud provides measurement data analysis and specific instructions


All measurement data is processed, analyzed, and prepared by the Sensaru Cloud's data warehouse. This enables real estate companies to receive informative measurement data analyses as well as specific instructions for optimizing energy consumption.

For example, the algorithm automatically determines how much the flow temperature can be reduced without loss of performance in the event of excessive flow temperature. Unidentified malfunctions such as the failure of an outside temperature sensor or undetected leakage are also quickly identified thanks to the sensory measurement system. As a result, real estate companies can not only reduce their energy consumption and CO₂ emissions, but also avoid high repair costs due to long-term damage.


Availability


The Sensaru measurement system has been successfully tested as part of several pilot projects, including with Stadtbau Aschaffenburg and Swiss Life. The S1 measurement system will go into the next production cycle from early 2024 and can be pre-ordered now. Further information can be found at www.sensaru.com

Press materials (founder images, product, etc.)


Image material and message: https://bit.ly/3QXnVke

Stadtbau Aschaffenburg testimonial: https://youtu.be/XGVFRGfwQS4

Sensaru product video: https://www.youtube.com/watch?v=TSF7I8EcImE&t=1s