| Autor: |
Nina Fatehi, Masoud H. Nazari |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 12, Pp 13037-13045 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3355314 |
| Popis: |
This paper introduces a multi-layer model predictive optimization (mLMPO) framework for energy management of building microgrids with Internet of Things (IoT)-enabled dispatchable loads and Distributed Energy Resources (DERs). The goal is to achieve high energy efficiency and demand response capability, while satisfying occupants’ comfort. Due to the diversity of on-site resources and complexity of occupancy modeling, traditional building management systems (BMS) cannot always optimize energy efficiency and maintain occupant comfort simultaneously. This paper will address this gap and develop a new framework for implementing mLMPO in building microgrids. The data from a large academic building in California is used for simulation studies. The results of this paper can provide a road map for co-optimization of energy efficient and occupants comfort in IoT-enabled smart buildings and microgrids. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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