Developing an energy management system for optimizing the interaction of a residential building with the electrical and thermal grids

Reino Ruusu, Sunlinag Cao, Ala Hasan, Juha Kortelainen, Tommi Karhela

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


The cost of locally installed renewable electrical and thermal systems in residential buildings is dropping rapidly and it has become increasingly common to invest in multiple-energy technologies such as PV, wind turbines and heat pumps. With the higher number of options, it is feasible to include more intelligent systems than basic low-level control in a residential building, especially with grid-connected local storage of heat and electricity. This article describes a proposed method and a prototype for an energy management system (EMS) for residential buildings. The energy management system applies a planning algorithm based on constrained nonlinear programming using a successive linear programming (SLP) approach. The EMS can be quite easily customized for different system configurations. The system behavior is encoded into optimization constraints as a simplified energy flow-based model, but is robust enough to represent multiple connections to a state-of-the-art stratified heat storage tank. Experiments of the energy management methodology using simulation models for three case studies have shown promising results. The EMS is able to consistently adapt the operation of the system to changes in the optimization criteria.
Original languageEnglish
Title of host publicationCLIMA 2016
Subtitle of host publicationProceedings of the 12th REHVA World Congress
PublisherAalborg University
Number of pages10
ISBN (Electronic)87-91606-35-7, 87-91606-36-5
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
Event12th REHVA World Congress, CLIMA 2016 - Aalborg, Denmark
Duration: 22 May 201625 May 2016


Conference12th REHVA World Congress, CLIMA 2016
Abbreviated titleCLIMA 2016


  • energy management system
  • optimizing building interactions with grids
  • energy cost minimization
  • primary energy consumption minimization

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