An efficient mixed-integer linear programming model for optimal sizing of battery energy storage in smart sustainable buildings

Mahdi Mehrtash*, Florin Capitanescu, Per Kvols Heiselberg

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)
Original languageEnglish
Title of host publication2020 IEEE Texas Power and Energy Conference (TPEC)
Number of pages6
PublisherIEEE
Publication dateFeb 2020
Pages229-234
ISBN (Print)978-1-7281-4437-5
ISBN (Electronic)978-1-7281-4436-8
DOIs
Publication statusPublished - Feb 2020
Event2020 IEEE Texas Power and Energy Conference, TPEC 2020 - College Station, United States
Duration: 6 Feb 20207 Feb 2020

Conference

Conference2020 IEEE Texas Power and Energy Conference, TPEC 2020
Country/TerritoryUnited States
CityCollege Station
Period06/02/202007/02/2020

Keywords

  • Battery energy storage
  • McCormick relaxation
  • Mixed-integer linear programming
  • Net zero energy building
  • Optimal battery sizing
  • Piecewise linearization

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