ModEst – Model identification based on measured data
The purpose of an energy system is a cost-efficient and environmentally friendly supply of energy. Due to complexity of most energy systems, mathematical optimization is required to ensure optimal operation. The application of mathematical optimization methods is useful especially in sector coupling. Integrated energy systems supply demands of different forms of energy, such as electricity, heating and cooling. Energy systems consist of complex components (e.g. combined heat and power units, absorption chillers, etc.). Different forms of energy are required to run an integrated energy system, as for example gas or electricity. In addition, regenerative energies such as wind power, solar thermal energy or photovoltaic units can be considered. Due to inherent complexity of highly integrated energy systems, mathematical optimization methods are essential to ensure optimal operation.
Basis for the application of optimization methods is a mathematical model of the energy system that adequately represents the components and their interactions. Today, the major drawback in practice is the high effort that is required to model complex energy systems: commonly, a new mathematical model is required for each energy system. However, there are no systematic methods available for generation and parameterization of energy system models. However, in modern energy systems, more and more measured data from energy management systems are available that can be used for modeling.
ObjectiveCopyright: © Currenta
The aim of the research project ModEst is to develop methods that automate the modeling of energy systems using data from energy management systems. The methods are related to the research area of system identification. The methods enable users (e.g. planning engineer or energy consultant) to perform a system identification based on measured data. However, the user does not require deep mathematical knowledge in the area of system identification to apply the methods. The methods for system identification will be provided by an easy-to-use software tool. The software tool is suitable for users in energy technology, energy economics and energy consulting. The identification methods are developed, validated and tested for applicability in practice, considering challenging case studies from the industrial partner CURRENTA. The methods to be developed shall be applicable to common industrial energy systems.
SponsorCopyright: © BMWi
This project is funded by the German Federal Ministry of Economics and Energy.
August 31, 2021