AutoMoG 3D: Automated Data-Driven Model Generation of Multi-Energy Systems Using Hinging Hyperplanes

Frontiers in Energy Research, vol. 9

Abstract

The optimal operation of multi-energy systems requires optimization models that are accurate and computationally efficient. In practice, models are mostly generated manually. However, manual model generation is time-consuming, and model quality depends on the expertise of the modeler. Thus, reliable and automated model generation is highly desirable. Automated data-driven model generation seems promising due to the increasing availability of measurement data from cheap sensors and data storage. Here, we propose the method AutoMoG 3D (Automated Model Generation) to decrease the effort for data-driven generation of computationally efficient models while retaining high model quality. AutoMoG 3D automatically yields Mixed-Integer Linear Programming models of multi-energy systems enabling efficient operational optimization to global optimality using established solvers. For each component, AutoMoG 3D performs a piecewise-affine regression using hinging-hyperplane trees. Thereby, components can be modeled with an arbitrary number of independent variables. AutoMoG 3D iteratively increases the number of affine regions. Thereby, AutoMoG 3D balances the errors caused by each component in the overall model of the multi-energy system. AutoMoG 3D is applied to model a real-world pump system. Here, AutoMoG 3D drastically decreases the effort for data-driven model generation and provides an accurate and computationally efficient optimization model.

Authors 4

1. Andreas Kämper corresponding Aachen Institute of Technical Thermodynamics

   RWTH Aachen University

   Affiliation as printed

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

2. Alexander Holtwerth Aachen Institute of Technical Thermodynamics

   RWTH Aachen University

   Affiliation as printed

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

3. Ludger Leenders Aachen Institute of Technical Thermodynamics

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

   Affiliation as printed

   Energy and Process Systems Engineering, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen, 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 and Process Systems Engineering, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland

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

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