Cited by 13Building Energy and Comfort OptimizationReal-time simulation and control systemsSmart Grid Energy Management

Real-Time Emulation of Residential Buildings by Hardware Solution of Multi-Layer Model

Guzman, Cristina, Agbossou, Kodjo, Cardenas, Alben·2019·IEEE Transactions on Smart Grid

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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Crossref · 10.1109/tsg.2018.2848727

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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].”
  • 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.”
  • 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].”

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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
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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