Pleißa primary school case study

Problem analysis

Limited budgets in the education sector suffer from wastage due to heating costs for empty rooms instead of flowing into core areas.

Educational facilities face the challenge of optimizing their energy consumption without compromising the quality of the learning environment. Energy efficiency measures such as cavity insulation, the installation of energy-efficient windows and thermal cladding can make a significant contribution to reducing heating requirements. However, these structural measures are associated with high initial investment, complex procurement procedures and approval processes as well as invasive installations.

Approach

To overcome these hurdles, the large district town of Limbach-Oberfrohna opted for the innovative, cloud-based platform from noah. The sensors used record important data points at ten-minute intervals - including room temperature, radiator valve position, flow temperatures and the status of windows. This precise data makes it possible to analyze and optimize energy consumption in real time, resulting in savings of 35.97%.

Installation procedure

A radio-based and battery-free system enables central monitoring and personalized heating control from anywhere.

Our preconfigured solution guarantees rapid and trouble-free installation within one day.

• 01

  October 10, 2023

  Digital transmission of room & building data by e-mail

• 02

  October 23, 2023

  Completion of the pre-configuration for the customer

• 03

  October 30, 2023

  Turnkey handover of 76 thermostats and direct commissioning

Result

Saved

34,432.18 kWh of heating energy. EUR 5,924.50 in heating costs.

Equivalent to

6.91 tons of CO2 emissions were avoided.

575 Trees

would have to compensate for this in CO2 emissions per year.

29,35 %

of heating energy, heating costs and CO2 emissions were saved.

Pleißa elementary school implemented noah technology in the last quarter of 2023 and achieved a significant reduction in gas consumption costs.
The savings in energy costs exceeded the initial forecast of 15%. The efficient adaptation to the technology by users and administrative staff led to a higher-than-expected cost reduction.