On the effects of MPC on a domestic energy efficiency optimization methodology

Albert Molderink, Vincent Bakker, M.G.C. Bosman, Johann L. Hurink, Gerardus Johannes Maria Smit

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

18 Citations (Scopus)
193 Downloads (Pure)


Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of technologies and optimization methodologies were developed to increase the efficiency, maintain the grid stability and support large scale introduction of renewable sources. In previous work, we showed the effectiveness of our three-step methodology to reach these objective, consisting of 1) offline prediction, 2) offline planning and 3) online scheduling. Although initial results are promising, one of the problems of the current implementation is the inability to work around prediction errors in the last step. Therefore, we added Model Predictive Control to step three to incorporate future states in the control to work around prediction errors. Adding MPC improves the ability to work around prediction errors and especially improves the irregular behavior of devices, resulting in a more stable situation.
Original languageUndefined
Title of host publicationProceedings of the 2010 IEEE International Energy Conference (EnergyCon 2010)
Place of PublicationUSA
Number of pages7
ISBN (Print)9789990171105
Publication statusPublished - 20 Dec 2010
Event2010 IEEE International Energy Conference, ENERGYCON 2010 - Gulf International Convention & Exhibition Center, Al Manamah, Bahrain
Duration: 20 Dec 201022 Dec 2010

Publication series

PublisherIEEE Power & Energy Society


Conference2010 IEEE International Energy Conference, ENERGYCON 2010
Abbreviated titleENERGYCON
CityAl Manamah


  • METIS-271154
  • EWI-18920
  • IR-74964

Cite this