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Integrating Energy Optimization and Production Scheduling in Energy-Intensive Industries

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Advances in Energy Systems Engineering

Abstract

The share of volatile renewable energy generation is rapidly increasing in many countries around the world. As in electric power grids the supply always needs to equal the demand, the increasing volatility of energy supply imposes a major challenge to the stability of power grids. Demand response actions offer a very cost-efficient way to cope with this challenge. Especially energy-intensive industries such as metals, cement or pulp and paper offer a high potential to adjust their energy consumption towards the power grid in the form of large controllable loads. In this chapter we look into how this potential could be used without affecting the production volume. Advanced scheduling algorithms allow to efficiently plan the production at industrial sites. Enabling such scheduling algorithms for energy-aware production planning as well as the integration of scheduling and energy optimization solutions allows to leverage a high potential for shifting energy consumption from times with low to times with high renewable energy generation. In addition, this approach allows plant owners to significantly reduce their energy cost.

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Author information

Authors and Affiliations

  1. ABB AG Corporate Research, Ladenburg, Germany

    Lennart Merkert & Iiro Harjunkoski

Authors
  1. Lennart Merkert
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  2. Iiro Harjunkoski
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Corresponding author

Correspondence to Iiro Harjunkoski .

Editor information

Editors and Affiliations

  1. Cranfield University, Bedfordshire, United Kingdom

    Georgios M. Kopanos

  2. Tsinghua University, Beijing, China

    Pei Liu

  3. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Michael C. Georgiadis

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Merkert, L., Harjunkoski, I. (2017). Integrating Energy Optimization and Production Scheduling in Energy-Intensive Industries. In: Kopanos, G., Liu, P., Georgiadis, M. (eds) Advances in Energy Systems Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-42803-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-42803-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42802-4

  • Online ISBN: 978-3-319-42803-1

  • eBook Packages: EnergyEnergy (R0)

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