A model predictive control strategy for the space heating of a smart building including cogeneration of a fuel cell-electrolyzer system

Fabrizio Sossan, Henrik W. Bindner, Henrik Madsen, Dimitri Torregrossa, Lorenzo Reyes Chamorro, Mario Paolone

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The objective of this paper is to analyze the value of energy replacement in the context of demand response. Energy replacement is dened as the possibility of the consumer to choose the most convenient source for providing space heating to a smart building according to a dynamic electricity price. In the proposed setup, heat is provided by conventional electric radiators and a combined heat and power generation system, composed by a fuel cell and an electrolyzer. The energy replacement strategy is formulated using model predictive control and mathematical models of the components involved. Simulations show that the predictive energy replacement strategy reduces the operating costs of the system and is able to provide a larger amount of regulating power to the grid. In the paper, we also develop a novel dynamic model of a PEM fuel cell suitable for micro-grid applications. The model is realized applying a grey-box methodology to the experimental proton exchange membrane fuel cell of the EPFL-DESL micro-grid.
Original languageEnglish
JournalInternational Journal of Electrical Power & Energy Systems
Volume62
Pages (from-to)879-889
ISSN0142-0615
DOIs
Publication statusPublished - 2014

Keywords

  • Demand Response
  • Control-by-price
  • Energy replacement
  • Combined heat and power generation
  • Proton exchange membrane fuel cell
  • Model predictive control
  • Grey-box modelling

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