A cost-optimal predictive operation scheme for sector-coupled energy plants with start-up delays and start-up costs

In this work we present a cost-optimal energy management scheme for sector-coupled energy plants, focusing on systems that enable gas-to-electricity, gas-to-heat, and power-to-heat conversions. To capture realistic operational challenges, the considered system model incorporates dynamic constraints, including start-up delays and off-time-dependent start-up costs. By accounting for the impact of these factors, we demonstrate on a case study that they can significantly reduce overall operational costs. The energy management problem is cast as a mixed-integer nonlinear programming (MINLP) problem, which is then solved within a model predictive control (MPC) framework. The proposed approach provides a structured methodology for real-time energy management, enhancing energy efficiency while minimizing costs.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.08.143
Primary Topic
Smart Grid Energy Management
Type
article
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article

A cost-optimal predictive operation scheme for sector-coupled energy plants with start-up delays and start-up costs

Juan E. Machado, Johannes Schiffer, Gökçen Devlet Şen
IFAC-PapersOnLine
Smart Grid Energy Management
article

A cost-optimal predictive operation scheme for sector-coupled energy plants with start-up delays and start-up costs

Juan E. Machado, Johannes Schiffer, Gökçen Devlet Şen
article en

Abstract

In this work we present a cost-optimal energy management scheme for sector-coupled energy plants, focusing on systems that enable gas-to-electricity, gas-to-heat, and power-to-heat conversions. To capture realistic operational challenges, the considered system model incorporates dynamic constraints, including start-up delays and off-time-dependent start-up costs. By accounting for the impact of these factors, we demonstrate on a case study that they can significantly reduce overall operational costs. The energy management problem is cast as a mixed-integer nonlinear programming (MINLP) problem, which is then solved within a model predictive control (MPC) framework. The proposed approach provides a structured methodology for real-time energy management, enhancing energy efficiency while minimizing costs.

IFAC-PapersOnLineVol. 59(9)
Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG (DE), Brandenburg University of Technology Cottbus-Senftenberg (DE)
Openalex Percentile: Top 75%
Smart Grid Energy Management
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A cost-optimal predictive operation scheme for sector-coupled energy plants with start-up delays and start-up costs — Juan E. Machado, Johannes Schiffer, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS