The role of artificial intelligence in improving energy efficiency in buildings

Artificial intelligence is now much more than just a trendy term. In fact, many business processes of all kinds are made on the basis of machine learning and artificial intelligence. In this article, we look at the role AI plays in energy efficiency, which is currently so important, especially in buildings.

Global energy costs continue to rise. Resources are becoming increasingly scarce. The climate is suffering from the enormous waste of energy, which is triggering a fundamental rethink in many companies. However, legally prescribed climate targets are not only becoming a pure corporate obligation, but are also increasingly becoming a real competitive factor.

However, energy management is not as simple as companies often imagine. It is not always possible to simply modernize technical systems in offices, properties or educational facilities. For this reason, energy experts are increasingly using artificial intelligence to optimize energy efficiency in a sustainable and measurable way.

Intelligent room climate control on a self-learning basis

Just how exciting the use of AI can be is illustrated by the example of indoor climate control. Thanks to artificial intelligence, the energy consumption of air conditioning systems can be reduced by more than 20 percent. And this can be achieved without having to stop building operations or initiate expensive conversion measures.

Intelligent software solutions take over the optimal control of the air conditioning technology by automatically learning the building and system behavior. Data becomes information, information becomes patterns, patterns become processes. If the software is fed with thousands of additional practical situations, algorithms can create measures and analyses from them. Essential influences on the company’s energy requirements are included, such as information on the weather, customer frequency or occupancy. Comprehensive operating and consumption data is continuously processed and forecasts are created. From this point onwards, the systems begin to adapt to the conditions at an early stage and with foresight with the help of AI. In this way, the optimum indoor climate can be determined and ensured step by step.

However, investments in self-learning systems not only ensure a reduction in operating costs and the successful implementation of CO2 targets. Other important advantages are

  • Energy savings of more than 20 percent
  • Amortization within the first year of operation
  • Automated improvement of energy efficiency
  • Reduction of CO2 emissions
  • Consideration of external factors such as weather and occupancy
  • Optimum indoor climate with minimum energy consumption

Would you also like to take your energy management to a new level? Please feel free to contact us! With its visualization options for energy monitoring, KENEXOS® makes it easy to get started and provides you with all the tools you need for process optimization in construction and building technology, industry and the public sector. Test the centralized, device-independent software solution for documentation, order entry and awarding, process planning and optimization as well as complete team communication now for 14 days free of charge. You can find all the information you need at www.kenexos.com.


About KENEXOS®

With Kreutzpointner Business Software GmbH (KBS for short), Kreutzpointner is setting a significant milestone in the technical development of the entire group of companies. Kreutzpointner Business Software GmbH focuses on the special requirements and digital needs of industrial customers with an independent business model. The operational launch took place in October 2020.

With KENEXOS®, KBS offers corporate customers an individually expandable application platform with its own software products and focuses on the implementation of industrial applications. KENEXOS® offers modern web technology for access via a wide range of end devices and enables integration with existing systems via an API interface. The standard modules include, for example, construction site documentation, task and ticket recording, plant management and maintenance and many more. The application platform is available for in-house installation (on-premise) or as a cloud solution (SaaS).

The ideas and the technical basis for Kreutzpointner Business Software GmbH have been successfully developed in recent years as part of the company-wide “Research & Development” process. In addition to the IT systems division, the new digital unit ideally rounds off Kreutzpointner’s large portfolio.

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