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Optimizing Device Operation with a Local Electricity Price

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Decentralized Solutions for Developing Economies

Part of the book series: Springer Proceedings in Energy ((SPE))

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Abstract

Making optimal use of available electric power is important for efficiency, functionality, and to reduce capital costs, particularly in developing countries. This paper shows the results from simulating the behavior of refrigerators and freezers that vary their operation according to a local price and price forecast. The price is set to the availability of local photovoltaic (PV) power and is used to adjust the temperature setpoints of the devices. For off-grid systems, this can be used to concentrate consumption during times of PV availability, to increase efficiency and reduce battery size. Our simulations show a reduction of up to 26 % of the energy used by the devices at night.

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Notes

  1. 1.

    Adapted from http://www.seia.org/research-resources/potential-impact-solar-pv-electricity-markets-texas.

  2. 2.

    Personal communication from Lloyd Harrington, 2013.

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Author information

Authors and Affiliations

  1. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, 90-2000, Berkeley, CA, 94720-8130, USA

    Bruce Nordman & Mattia Bugossi

  2. UNIVPM—Università Politecnica delle Marche, P.zza Roma 22, 60121, Ancona, Italy

    Mattia Bugossi

Authors
  1. Bruce Nordman
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  2. Mattia Bugossi
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Corresponding author

Correspondence to Bruce Nordman .

Editor information

Editors and Affiliations

  1. ZTG Sekr. HBS1, Technische Universität Berlin Microenergy Systems Research Group, Berlin, Germany

    Sebastian Groh

  2. ZTG Sekr. HBS1, Technische Universität Berlin Microenergy Systems Research Group, Berlin, Germany

    Jonas van der Straeten

  3. ZTG Sekr. HBS1, Technische Universität Berlin Microenergy Systems Research Group, Berlin, Germany

    Brian Edlefsen Lasch

  4. University of California Berkeley Rural Energy Group, Berkeley, California, USA

    Dimitry Gershenson

  5. Faculty of Life Sciences, Hamburg University of Applied Science, Hamburg, Germany

    Walter Leal Filho

  6. Class of 135 Distinguished, University of California Berkeley, Berkeley, California, USA

    Daniel M. Kammen

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© 2015 Springer International Publishing Switzerland

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Nordman, B., Bugossi, M. (2015). Optimizing Device Operation with a Local Electricity Price. In: Groh, S., van der Straeten, J., Edlefsen Lasch, B., Gershenson, D., Leal Filho, W., Kammen, D. (eds) Decentralized Solutions for Developing Economies. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-15964-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-15964-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15963-8

  • Online ISBN: 978-3-319-15964-5

  • eBook Packages: EnergyEnergy (R0)

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