Abstract
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 language | English |
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Title of host publication | CLIMA 2016 |
Subtitle of host publication | Proceedings of the 12th REHVA World Congress |
Publisher | Aalborg University |
Number of pages | 10 |
Volume | 10 |
ISBN (Electronic) | 87-91606-35-7, 87-91606-36-5 |
Publication status | Published - 2016 |
MoE publication type | A4 Article in a conference publication |
Event | 12th REHVA World Congress, CLIMA 2016 - Aalborg, Denmark Duration: 22 May 2016 → 25 May 2016 |
Conference
Conference | 12th REHVA World Congress, CLIMA 2016 |
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Abbreviated title | CLIMA 2016 |
Country/Territory | Denmark |
City | Aalborg |
Period | 22/05/16 → 25/05/16 |
Keywords
- energy management system
- optimizing building interactions with grids
- energy cost minimization
- primary energy consumption minimization