A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Data-Driven Frequency Domain System Identification Approach to Define House Archetypes and Flexibility
This paper proposes a novel frequency domain methodology for identification of the thermal response of representative houses in Québec. The methodology, developed in a MATLAB environment, is based on a data-driven frequency domain approach. Since buildings have a strongly periodic thermal behaviour during different seasons, frequency domain analysis is useful to determine specific trends, focusing on both long- and short-term behaviour. The analysis is carried out for different types of Quebec houses: bungalow, split and cottage—about 30 houses monitored by Hydro-Québec. The results highlight the common trends between different house archetypes and evaluates the frequency response G(n) of each thermal zone of a house, analysing the influence of solar radiation, outdoor temperature, and internal heating sources on the indoor environment. This study introduces a technique to assist in the development of reduced order linear models by neglecting or aggregating certain adjacent thermal zones of houses by examining the frequency response of the indoor temperature as a function of the outdoor temperature. Moreover, the zones with the most potential energy flexibility can be easily identified with an index that focuses on the frequency response of the indoor zone temperature as a function of the heating input. This identifies where to apply predictive control strategies to activate the potential energy flexibility.
A Data-Driven Frequency Domain System Identification Approach to Define House Archetypes and Flexibility
This paper proposes a novel frequency domain methodology for identification of the thermal response of representative houses in Québec. The methodology, developed in a MATLAB environment, is based on a data-driven frequency domain approach. Since buildings have a strongly periodic thermal behaviour during different seasons, frequency domain analysis is useful to determine specific trends, focusing on both long- and short-term behaviour. The analysis is carried out for different types of Quebec houses: bungalow, split and cottage—about 30 houses monitored by Hydro-Québec. The results highlight the common trends between different house archetypes and evaluates the frequency response G(n) of each thermal zone of a house, analysing the influence of solar radiation, outdoor temperature, and internal heating sources on the indoor environment. This study introduces a technique to assist in the development of reduced order linear models by neglecting or aggregating certain adjacent thermal zones of houses by examining the frequency response of the indoor temperature as a function of the outdoor temperature. Moreover, the zones with the most potential energy flexibility can be easily identified with an index that focuses on the frequency response of the indoor zone temperature as a function of the heating input. This identifies where to apply predictive control strategies to activate the potential energy flexibility.
A Data-Driven Frequency Domain System Identification Approach to Define House Archetypes and Flexibility
Environ Sci Eng
Wang, Liangzhu Leon (editor) / Ge, Hua (editor) / Zhai, Zhiqiang John (editor) / Qi, Dahai (editor) / Ouf, Mohamed (editor) / Sun, Chanjuan (editor) / Wang, Dengjia (editor) / Maturo, Anthony (author) / Athienitis, Andreas (author) / Delcroix, Benoit (author)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Chapter: 100 ; 937-948
2023-09-05
12 pages
Article/Chapter (Book)
Electronic Resource
English
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