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Energy Solutions to Combat Global Warming pp 753–793Cite as

Home Energy Management Systems: A Review of Modelling and Complexity

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Part of the book series: Lecture Notes in Energy ((LNEN,volume 33))

Abstract

Innovations in the residential sector are required to reduce environmental impacts, as the sector is a contributor to greenhouse gas emissions. The increasing demand for electricity and the emergence of smart grids have presented new opportunities for home energy management systems (HEMS) in demand response markets. HEMS are demand response tools that shift and curtail demand to improve the energy consumption and production profile of a dwelling on behalf of a consumer. HEMS usually create optimal consumption and productions schedules by considering multiple objectives such as energy costs, environmental concerns, load profiles and consumer comfort. The existing literature has presented several methods, such as mathematical optimization, model predictive control and heuristic control, for creating efficient operation schedules and for making good consumption and production decisions. However, the effectiveness of the methods in the existing literature can be difficult to compare due to diversity in modelling parameters, such as appliance models, timing parameters and objectives. The present chapter provides a comparative analysis of the literature on HEMS, with a focus on modelling approaches and their impact on HEMS operations and outcomes. In particular, we discuss a set of HEMS challenges such as forecast uncertainty, modelling device heterogeneity, multi-objective scheduling, computational limitations, timing considerations and modelling consumer well-being. The presented work is organized to allow a reader to understand and compare the important considerations, approaches, nomenclature and results in prominent and new literary works without delving deeply into each one.

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Acknowledgments

The authors would like to thank Dr. Ana Nikolic for helping in the editing and proof-reading of the manuscript.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB, T2N 1N4, Canada

    Hamidreza Zareipour

  2. Department of Geography and Environmental Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218-2608, USA

    Marc Beaudin

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  1. College of Engineering, Peking University, Beijing, China

    XinRong Zhang

  2. Faculty of Engineering and Applied Science, Department of Mechanical Engineering, University of Ontario, Oshawa, Ontario, Canada

    Ibrahim Dincer

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Beaudin, M., Zareipour, H. (2017). Home Energy Management Systems: A Review of Modelling and Complexity. In: Zhang, X., Dincer, I. (eds) Energy Solutions to Combat Global Warming. Lecture Notes in Energy, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-26950-4_35

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