Medical freezers as flexible load for demand response in a business park microgrid with local solar power generation

R.M.D.G. Morales Gonzalez, M. Gibescu, J.F.G. Cobben, Martijn Bongaerts, Marcel de Nes-Koedam, Wouter Vermeiden

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Abstract

This work presents a day-ahead demand response (DR) scheduling framework that quantifies the flexibility in non-residential buildings by using thermodynamic modeling, and assesses the benefits of DR in terms of three separate optimization variants: net payment minimization, energy self-sufficiency, and peak power reduction. We test the framework in a case study of a medical research facility located in a business park with local solar power generation. The flexible loads are four groups of independently-controlled medical freezers. Our DR framework generates optimal freezer operation and solar power production/curtailment schedules that are compared against a business-as-usual scenario with no DR. We perform simulations for cases with and without end-of-horizon temperature constraints. Results show that the flexibility harnessed from the freezers’ thermal mass for DR actions improves the price-responsiveness, energy independence, and peak power consumption of the system with respect to the business-as-usual scenario. Furthermore, adding end-of horizon constraints ensures that the thermal buffer of the flexible load will be full for the next simulation time window.
Original languageEnglish
Title of host publicationSmart Cities, Green Technologies and Intelligent Transport Systems - 7th International Conference, SMARTGREENS, and 4th International Conference, VEHITS 2018, Revised Selected Papers
Subtitle of host publication7th International Conference, SMARTGREENS, and 4th International Conference, VEHITS 2018, Funchal-Madeira, Portugal, March 16-18, 2018, Revised Selected Papers
EditorsBrian Donnellan, Cornel Klein, Markus Helfert, Oleg Gusikhin
Place of PublicationCham
PublisherSpringer
Pages23-43
Number of pages21
ISBN (Electronic)978-3-030-26633-2
ISBN (Print)9783030266325
DOIs
Publication statusPublished - 27 Jul 2019
Event7th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2018 - Funchal, Madeira, Portugal
Duration: 16 Mar 201818 Mar 2018

Publication series

NameCommunications in Computer and Information Science
Volume992
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2018
CountryPortugal
CityFunchal, Madeira
Period16/03/1818/03/18

Keywords

  • Demand response
  • Genetic algorithm
  • Local RES integration
  • Physical systems modeling
  • Smart grid

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