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Alternative Energy Sources and Technologies pp 383–414Cite as

Planning and Scheduling for Industrial Demand Side Management: Advances and Challenges

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Abstract

In the context of the so-called smart grid, the intelligent management of electricity demand, also referred to as demand side management (DSM), has been recognized as an effective approach to increase power grid performance and consumer benefits. Being large electricity consumers, the power-intensive process industries play a key role in DSM. In particular, planning and scheduling for industrial DSM has emerged as a major area of interest for both researchers and practitioners. In this work, we provide an introduction to DSM and present a comprehensive review of existing works on planning and scheduling for industrial DSM. Four main challenges are identified: (1) accurate modeling of operational flexibility, (2) integration of production and energy management, (3) optimization across multiple time scales, and (4) decision-making under uncertainty. Two real-world case studies are presented to demonstrate the capabilities of state-of-the-art models and solution approaches. Finally, we highlight the research gaps and future opportunities in this area.

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Acknowledgments

The authors gratefully acknowledge the financial support from the National Science Foundation under Grant No. 1159443 and from Praxair. The authors would also like to thank Dr. Jose M. Pinto and Dr. Arul Sundaramoorthy from Praxair for the successful collaboration on many projects related to industrial DSM and the real-world data that they have provided for the case studies.

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  1. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Qi Zhang & Ignacio E. Grossmann

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  1. Qi Zhang
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Correspondence to Ignacio E. Grossmann .

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  1. University of Salamanca, Department of chemical Engineering, Salamanca, Spain

    Mariano Martín

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Zhang, Q., Grossmann, I.E. (2016). Planning and Scheduling for Industrial Demand Side Management: Advances and Challenges. In: Martín, M. (eds) Alternative Energy Sources and Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-28752-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-28752-2_14

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