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2420. Towards energy-aware daily production optimization

Invited abstract in session MD-23: Scheduling for sustainability, stream Circular Economy, Remanufacturing and Recycling .

Monday, 14:30-16:00
Room: 82 (building: 116)

Authors (first author is the speaker)

1. Pieter Leyman
Industrial Systems Engineering and Production Design, Ghent University
2. Stijn De Vuyst
Industrial Systems Engineering and Product Design, Ghent University

Abstract

Imagine a world in which production companies do not have to worry about their energy supply. Not just because they have their own renewable energy sources (e.g., solar panels, wind turbines) and energy storage (e.g., industrial batteries), but more importantly because their entire production system has been designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy from, to optimizing production and energy goals together. As a result, production is more sustainable and cheaper in terms of energy costs, without sacrificing capacity. Unfortunately, the energy crisis has proven that we are presently far removed from such an ideal world.

We will provide a holistic roadmap on energy-aware daily production scheduling, in which the technological aspects of energy supply and storage are taken into account, and are furthermore matched with energy demand from production. We will subsequently zoom in on a specific problem, namely the order acceptance and scheduling (OAS) problem, with the inclusion of electricity grid costs based on day-ahead prices. Aside from a mathematical model, we will discuss a metaheuristic algorithm, and compare the performance of both on a small dataset.

Keywords

Status: accepted

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