Real-Time Emulation of Residential Buildings by Hardware Solution of Multi-Layer Model
Abstract
Building modeling and consumption analysis are important elements of smart grid applications. The models of residential buildings in Nordic countries, where multi-layer slabs are mandatory to meet energy efficiency requirements, the modeling task becomes particularly challenging. In fact, the complexity of the detailed model rises as the number of layers and thermal zones increases. In some cases, this situation limits the implementation of model-based predictive control where the computation time for execution of the model must be as short as possible to achieve optimized loop time performance. To that end, this paper proposes the development of a modular, accurate and flexible real-time multi-zone and multi-layer building emulation system representing the dynamic thermal-electric behavior of residential buildings. The proposed hardware implementation architecture includes space and water heating systems, which are the main consuming loads in Nordic countries. The emulation system can perform in accelerated simulation or in real-time modes, either for one building or for a virtual park of buildings. Experimental validation using measurement data of occupied Canadian buildings with different insulation characteristics and using a hardware-in-the-loop configuration has permitted to corroborate the usefulness of the proposed emulation system.
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Typical residential load demand data for Quebec are generated using the model of real-time emulation system proposed in [33].
“The data of typical residential load demand for Quebec are generated using the model of real-time emulation system proposed in [33].”
From EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec (2021) · cites this paper as [33]
Heat loss coefficients and time constants used in the simulation of the park of buildings correspond to typical values for Canadian detached houses, as confirmed by field measurements [14,33,34].
“The heat loss coefficients and time constants used in the simulation of the park of buildings correspond to typical values for Canadian detached houses as confirmed by field measurements reported in [14,33,34] and illustrated by Figure 3.”
From EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec (2021) · cites this paper as [33]
The framework integrates probabilistic models based on measurements of occupied houses in Quebec and thermal models from the real-time emulation system proposed in [14,33].
“It is to be noticed that the studied scenarios are focused on assessing a mostly cold environment, so the framework integrates probabilistic models based on measurements of occupied houses in the Quebec province and thermal models from the real-time emulation system proposed in [14,33].”
From EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec (2021) · cites this paper as [33]
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EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec
Cardenas, A., Guzman, C., & Martinez, W. (2021) · Vehicles · doi:10.3390/vehicles3030034 · Cited by 19 · see citing works
“The data of typical residential load demand for Quebec are generated using the model of real-time emulation system proposed in [33].”
BackgroundMethodSelf-citation
- Authors
- Guzman, C., Agbossou, K., & Cardenas, A.
- Affiliations
- Université du Québec à Trois-Rivières (CA)
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2019-07
- Volume
- 10
- Issue
- 4
- Pages
- 4037-4047
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2808736933
- Cited by
- 13
- References
- 0
- Citations by year
- 2024: 1 · 2021: 3 · 2020: 4 · 2019: 5
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Smart Grid (publishedVersion)
- Funders
- LTE-Hydro-Québec
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Real-time simulation and control systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- residential buildings, hardware implementation, model predictive control, space heating, water heating, hardware-in-the-loop, smart grid, building energy consumption
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