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Abstract
This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The investigated heating system consists of an air source heat pump (ASHP) incorporated with a hot water tank as active Thermal Energy Storage (TES), where two optimization problems are integrated together to optimize both the ASHP electricity consumption and the building heating consumption utilizing a heat dynamic model of the building. The results show that the proposed EMPC can save the energy cost by load shifting compared with some reference cases.
| Original language | English |
|---|---|
| Journal | Energy and Power Engineering |
| Volume | 9 |
| Pages (from-to) | 112-119 |
| ISSN | 1949-243X |
| DOIs | |
| Publication status | Published - 2017 |
Keywords
- Building Energy Management System
- Demand Response
- Economic Model Predictive Control
- Heat Pumps
- Smart Buildings
- Thermal Energy Storage
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Dive into the research topics of 'Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings'. Together they form a unique fingerprint.Projects
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EPIMES: Enhancing wind Power Integration through optimal use of cross-sectoral flexibility in an integrated Multi-Energy System
Bindner, H. W., Zong, Y., You, S., Zhang, Z., Chyhryn, S. & Olsen, K. P.
01/10/2016 → 31/03/2020
Project: Research