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Data-driven building operation

Digitalised properties create the basis for flexible and adaptable building operation. The capture and analysis of building, energy and operating data supports transparent process management and helps identify optimisation potential. eco2state offers an overall solution thanks to an energy inventory, digital building operation and optimization of building technology.
Image of an office space with sustainable and digital building operation, in which large red displays of C, O and 2 are placed. The eco2state navigator can be seen in the foreground on a tablet. © qunica.com/stock.adobe.com
© qunica.com/stock.adobe.com
Logo eco2state with red colored characters c, o and a lowered 2.

The operation of buildings accounts for a significant share of lifecycle greenhouse gas emissions; the exact share depends on building type, methodology and system boundaries. Embodied emissions arise from the manufacture, transport and use of building materials.

With eco₂state, we support our commercial clients in analysing energy consumption and implementing measures designed to improve energy efficiency and reduce operational carbon emissions.

Decarbonisation pathways for buildings

Analysis and implementation of measures to reduce operational CO2 emissions.

eco2state is based on a careful analysis of the existing building stock. This involves assessing both the current state and the energy requirements of the building fabric. The evaluation of a wide range of information sources is closely linked to this. Depending on the condition and energy requirements of the building and its technical systems, we define an individual decarbonization pathway with suitable services and products.

Graphic showing the five project steps of a pathway to the decarbonization of buildings.

The eco2state navigator - our all-rounder

This is made possible by a digital copy of the building with all available technical data, a so-called "digital twin". The eco2state navigator is our core tool for analysing and optimizing your properties. It is fed with data from the building management system (BMS), sensors and manual data.

In the eco2state navigator, building data such as humidity, temperature and air quality as well as external factors such as time of day and weather conditions are recorded and analyzed in real time. Our three modules CO2, AI and ENERGY allow us to navigate through all the information.

Graphic of a tablet showing the start page of the eco2state navigator. Surrounding the tablet are ten pieces of building data that can be collected digitally.

The evaluation of all the data therefore makes the building speak in the best sense of the word. This dialog with humidity, temperature, air, light and shade, for example, enables us to fine-tune the conditions in the office in detail, as well as in industrial facilities. The time of day and weather conditions are also taken into account. The interfaces are the powerful hubs of our BMS and the eco2state navigator.

Sensor technology for data-driven decision-making

Specifically, a meeting room knows, for example, how many people are in the room, it knows the room climate, controls the shading and lighting and the availability of technology and equipment. Assuming that this applies to every room in the building, it is obvious that high cost savings are possible. Demand-based measurement, control and regulation can support comfort requirements, make energy consumption transparent and identify optimisation potential.

  • Image of three eco2state sensors of different sizes standing on a round table against a green background.
    Image of three eco2state sensors of different sizes standing on a round table against a green background. © STRABAG PFS
  • Image of an eco2state sensor standing on a round table against a green background.
    Image of an eco2state sensor standing on a round table against a green background. © STRABAG PFS
  • Image of a socket outlet adapter including eco2state sensor standing on a round table against a green background.
    Image of a socket outlet adapter including eco2state sensor standing on a round table against a green background. © STRABAG PFS
  • Image of an eco2state sensor with cable and plug standing on a round table against a green background.
    Image of an eco2state sensor with cable and plug standing on a round table against a green background. © STRABAG PFS
  • Image of a small eco2state sensor standing on a round table against a green background.
    Image of a small eco2state sensor standing on a round table against a green background. © STRABAG PFS
  • Image of an eco2state sensor with cable and plug standing on a round table against a green background.
    Image of an eco2state sensor with cable and plug standing on a round table against a green background. © STRABAG PFS
  • Image of different types of eco2state sensors standing on a round table against a green background.
    Image of different types of eco2state sensors standing on a round table against a green background. © STRABAG PFS

Analysis and control require information. We have developed our own sensors for this purpose. These are easy to implement, suitable for the system and always hard-working. We use a total of 25 sensors, which are assigned to the five main categories of environment, resources, utilization, condition and location.

Existing buildings in focus

eco₂state can be used in both digitally connected buildings and existing buildings without comprehensive building automation. It supports data capture and evaluation as well as the planning of measures to improve energy efficiency and reduce operational carbon emissions.

Data-driven advice for informed decisions

Our approach is a comprehensive analysis of your real estate portfolio. We rely on transparency, comprehensive data availability and professional evaluation. With eco2consult, we accompany you on the way to making decisions for effective, systemic optimization measures.

Your contact for eco2state

eco₂state supports the digitalisation of existing portfolios and the analysis of energy, building and operating data. On this basis, optimisation potential can be identified and measures to improve energy efficiency and reduce operational carbon emissions can be planned.

Contact us

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