AutoMoG: Automated data-driven Model Generation of multi-energy systems using piecewise-linear regression

Computers & Chemical Engineering, vol. 145, pp. 107162

Abstract

Operational optimization of multi-energy systems requires a mathematical model that is accurate and computationally efficient. A model can be generated in a data-driven way if measured data is available. Commonly, data is then used to model each component of the multi-energy system independently. However, independent modeling of each component may lead to models that are unnecessarily complicated and, thus, inefficient in practice. In this work, we propose the method AutoMoG for Automated data-driven Model Generation of multi-energy systems using piecewise-linear regression. AutoMoG provides Mixed-Integer Linear Programming models of multi-energy systems. To accurately model the overall multi-energy system, AutoMoG balances the errors caused by each component. Model accuracy is measured in terms of operating cost. In a case study, AutoMoG provides a multi-energy system model with less linear sections than single-component regression Still, AutoMoG retains high accuracy. Thereby, AutoMoG enables efficient data-driven modeling as the basis for multi-energy system optimization.

Authors 4

1. Andreas Kämper Aachen Institute of Technical Thermodynamics

   RWTH Aachen University

   Affiliation as printed

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen 52062, Germany

2. Ludger Leenders Aachen Institute of Technical Thermodynamics

   ETH Zurich · Institute of Energy and Process Engineering · RWTH Aachen University

   Affiliation as printed

   Energy & Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen 52062, Germany

3. Björn Bahl Aachen Institute of Technical Thermodynamics

   RWTH Aachen University

   Affiliation as printed

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen 52062, Germany

4. André Bardow corresponding Aachen Institute of Technical Thermodynamics

   Forschungszentrum Jülich · ETH Zurich · Institute of Energy and Process Engineering · RWTH Aachen University

   Affiliation as printed

   Energy & Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland

   Institute of Energy and Climate Research, Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen 52062, Germany