Smart heating control

Challenge / Goal

The heating system is the primary energy consumer and CO2 producer in the building sector in Germany. Many heating systems are not regulated or optimized. In view of the net-zero target, action is needed in this area. A sustainable solution is the introduction of a system for the continuous optimization of systems using digital technology and artificial intelligence. However, implementing such systems to optimize heating systems can pose a number of challenges, particularly with regard to integration into existing heating systems and ensuring smooth functionality. Typical challenges are:

• Data collection and integration: the effectiveness of a heating optimizer depends heavily on the quality and completeness of the data it uses. The integration of sensors required to capture relevant information such as room temperature, outdoor temperature, heating settings, etc. can present technical challenges.
• Algorithm development: Developing algorithms that can optimize heating requires both a deep understanding of the underlying physical principles and advanced knowledge of data analytics and machine learning. Developing robust algorithms that can adapt to different environmental conditions and user preferences is a complex task.
• Integration with existing systems: Integrating a heating optimizer with existing heating systems can be challenging, especially if the systems are older or use proprietary protocols. It may require working with different manufacturers and developing interfaces to enable seamless integration.
• User acceptance and behavior: Even if a heating optimizer has been successfully implemented technically, its success often depends on user acceptance and behavior. It is important that users understand and accept the system in order to achieve the desired energy savings. This may require training and clear communication from suppliers.
• Security and privacy: As heating optimizers collect sensitive information about users' usage and energy consumption, it is important to implement appropriate security measures to protect the data from unauthorized access. Privacy concerns must also be considered and appropriate measures taken to ensure user privacy.

There are several reasons why many heating systems are not controlled or optimized. Some of these are:

• Cost: Implementing heating controls and optimizations often requires an initial investment in hardware such as sensors, actuators and control systems, as well as software for data analysis and control. These costs can be a deterrent for homeowners or building operators, especially if they do not see immediate savings or other benefits.
• Lack of awareness: Many people may not be aware of how much energy they are wasting through inefficient heating systems, or they may not have the knowledge of the technologies available to optimize their heating systems.
• Complexity: Integrating heating controls and optimizations can be technically complex, especially when it comes to adapting to existing heating systems. This may require specialist knowledge and experience in heating engineering, control technology and data analysis.
• Resistance to change: People and organizations can often be resistant to change, especially when it comes to adopting new technologies and processes. They may be reluctant to change their familiar heating systems or have concerns about potential disruption or problems that could arise from implementing new technologies.
• Regulatory hurdles: In some cases, regulatory hurdles can complicate the implementation of heating controls and optimizations. This can be caused by standards, regulations or bureaucratic processes that hinder the introduction of new technologies in certain industries or geographical regions.
• Refinancing and apportionability: The heating and consumption costs are to be borne by the tenant as 100% apportionable costs. It is unclear to what extent the necessary investments by the owner can be refinanced.

Despite these challenges, there is a growing recognition of the importance of energy efficiency and environmental protection, which means that more attention is being paid to optimizing heating systems. Advances in technology and rising energy costs can also create incentives for the introduction of heating controls and optimizations. For a building owner, the implementation of energy management systems or optimization of heating systems can bring the following benefits:

• Lower operating costs: by reducing energy consumption, the overall operating costs for the heating system can be reduced. This can help to increase the profitability of the building, especially if heating costs make up a significant proportion of the operating costs.
• Attractiveness of the building: An energy-efficient building can be more attractive to potential tenants, especially given the growing awareness of environmental issues and energy efficiency. This could help to improve the rentability of the building and reduce vacancy periods.
• Legal requirements: In some countries, there are legal requirements or incentives to improve the energy efficiency of buildings. By implementing energy management systems and reducing heating consumption, building owners can meet these requirements and potentially benefit from government subsidy programs.
• Image and sustainability: A building owner may also have an interest in promoting their image as a responsible and sustainable landlord. Implementing measures to reduce heating consumption can help to reinforce this image and demonstrate environmental awareness.

Overall, reducing heating consumption through energy management systems can be in the long-term interest of the building owner, even if it may require a high level of investment and time. The aim of the project is to implement a system that continuously optimizes the heating system based on current data from the property.