Estimating dynamic solar gains from on-site measured data: An ARX modelling approach

Zhang, Xiang; Sælens, Dirk; Roels, Staf

doi:10.1016/j.apenergy.2022.119278

Cited by 14 publications

(13 citation statements)

References 55 publications

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“…For the details of measurement campaigns, the reader may refer to [17], pages 55-77 (CIEMAT case), and the images of measurement campaigns are shown in Figure 2. In line with [14,18], only indoor temperature (°C), outdoor temperature (°C), heating input (W), global horizontal irradiance (GHI) (W/m 2 ), direct normal irradiance (DNI) (W/m 2 ), and diffuse horizontal irradiance (DHI) (W/m 2 ), and wind speed (m/s) are included in the dataset, which is re-sampled from original 5 mins sampling time into a 20 mins frequency. The indoor temperature and heating input (in the ROBLS test) are measured in the box and the rest of the input weather data are recorded in a weather station on site [17].…”

Section: A Test Box As Case Studymentioning

confidence: 82%

Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box

Zhang,

Aviv,

Saelens

et al. 2023

J. Phys.: Conf. Ser.

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Accurate estimation of the energy gain from solar radiation in buildings is necessary for building energy performance characterization, model predictive control (MPC), fault detection and diagnostics, etc. Solar radiation affects the buildings’ internal air temperature dynamics, either (directly) by penetrating the glazing or (indirectly) through the opaque building envelope. Nevertheless, no research has investigated the on-site data-driven modelling of the indirect effects of solar radiation i.e., additional solar gain through the opaque building envelope, marked as indirect solar gain. Therefore, this work aims to develop grey-box model-based techniques to characterize the dynamics of indirect solar gain. A test box, with overall dimensions of 120*120*120 cm3, that represents a simplified scale model of a building is examined, to provide an initial understanding of this matter. This test box is south-north orientated and has only one window of 60*60 cm2, positioned on its southern wall. On-site data associated with this text box was recorded during the summer (June-July) in Almeria, Spain. This simplified reduced-size text box satisfies the research goal very well to serve as a pilot case study, since the indirect solar gain was the dominant effect of solar radiation. Based on the in-situ data from this case, a three-dimensionally decomposed solar irradiance integrated grey-box modelling technique is proposed for characterizing the dynamics of indirect solar gain. Preliminary results from this study show that this technique can effectively reveal the key dynamics of indirect solar gain and outperform the classic grey-box model, based on limited low-frequency on-site measured data.

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Section: A Test Box As Case Studymentioning

confidence: 82%

Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box

Zhang,

Aviv,

Saelens

et al. 2023

J. Phys.: Conf. Ser.

Self Cite

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“…The assumption of a constant solar opening coefficient is insufficient to take the solar gains into account. Modelling the solar gains must therefore be improved with a more detailed consideration of the position of the sun and the geometry of the windows, for example [14].…”

Section: Discussionmentioning

confidence: 99%

Numerical test bench to evaluate the influence of heat gains on the estimation of Heat Transfer Coefficient under occupied conditions

Pacquaut,

Rouchier,

Jay

et al. 2023

J. Phys.: Conf. Ser.

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The estimation of the HTC heat transfer coefficient in real occupancy conditions has a great operational advantage contrary to the measurement in unoccupied conditions, which requires specific measurement protocols. Nevertheless, it presents additional constraints because the gains due to weather conditions and occupancy are poorly controlled. The objective of this work is therefore to quantify the impact of these different gains. A numerical test bench is set up to study the impact of the solar and internal gains by varying different parameters, such as the typology of the building, the meteorological conditions, the scenarios of occupancy. These numerical tests allow to estimate the HTC of a building by calibrating a numerical model from a virtual dataset generated by a detailed model with known and controlled meteorological conditions and usage conditions. They make it possible to determine the share of solar heat gain and internal heat gain in the energy balance of the building and their impact on the estimation of the HTC according to the studied configurations.

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“…ML models fundamentally function as black-box models [81], which require no physical information of the system for modeling. The blackbox model is different from the grey-box [45,47,82] and white-box [83] models, where physical knowledge plays a vital role in model construction.…”

Section: Supervised Learning (Sl)mentioning

confidence: 99%

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Liu

Zhang

Sun

et al. 2023

Energy and Buildings

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Estimating dynamic solar gains from on-site measured data: An ARX modelling approach

Cited by 14 publications

References 55 publications

Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box

Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box

Numerical test bench to evaluate the influence of heat gains on the estimation of Heat Transfer Coefficient under occupied conditions

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

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