The KMU-innovativ research project "Be-Safe" focuses on resource and energy efficiency as well as climate protection. Together with partners from industry and research, methods and a webtool are being developed that enable the safe design of energy systems according to these principles.
In order to ensure a reliable energy supply, high safety margins are applied to the expected maximum loads when designing industrial energy supply systems, and individual systems are planned redundantly. A particularly high requirement applies to energy systems with heat demand (heating, cooling, steam), since the supply cannot be ensured by external sources such as the power grid. The resulting conservative design option is rarely efficient and leads to unnecessary costs and CO2 emissions. Nevertheless, it is applied in practice because suitable tools for individual and detailed planning are lacking or because such a planning process does not pay off, especially for medium-sized companies.
The objective is to develop methods for the optimal design of energy supply systems for industrial processes with high thermal loads based on uncertain input data and unpredictable plant failures. The methods will generate individually valid thermal load profiles for an energy system from small and incomplete data sets. Based on these load profiles, the methods can be used to evaluate and mathematically optimize the reliability of an energy system. During optimization, uncertainties in the expected requirements should be systematically taken into account. This also enables multi-criteria design with respect to supply reliability, costs and CO2 emissions. The methods enable planning companies, the energy system operators and plant constructors to evaluate the supply security of different variants and to estimate the additional costs. Thus, thermal energy systems can be designed in a supply-secure and efficient way and unnecessary CO2 emissions of up to 6 million tons can be avoided.
As part of the project, we are developing model-based methods to create reliable load profiles. The challenge is that the load profiles are not clearly known in advance and are subject to uncertainties. Therefore, special attention is paid to the requirements for load profile generation from the user's point of view, especially with regard to usability and data availability. In addition to annual consumption figures and short-term measurements (e.g. of one week), additional information on production and buildings should serve as the data basis for load profile generation. The aim is to develop a simulation model or methodology that enables load profiles to be generated using a small number of parameters and short series of measurements. In order to be able to test and use the developed methods later on, we are developing a prototypical webtool for the generation of load profiles that can be operated without prior technical knowledge, especially without simulation know-how.
The research project is funded by the German Federal Ministry of Education and Research 2022-2025 "KMU-innovativ - Verbundprojekt Klimaschutz" under the funding code 01LY2117E.