**Author details**

*Recent Advances in Numerical Simulations*

**System components/types Functions**

Azimuth Angles Determining solar azimuth angle Radiation Calculating solar radiation

Lights (Type2d) Generating ON/OFF control functions Wizard settings Adjusting building orientation

file

Type567–5 The model of the PV panel

*Description of system components and types of the BIPV-DSF model.*

ambient air

**6. Conclusions**

**Table 1.**

Building (Type56-TRNFlow)

the BIPV-DSF.

DSF is predicted accordingly.

This chapter presents a comprehensive method of numerical simulation modelling of a novel façade system – BIPV-DSF – in buildings. The proposed simulation modelling is carried out by using a graphically based design tool – TRNSYS and its relevant plugins (TRNFlow and TRNSYS 3D), and the performance of the BIPV-

Weather data (Type15–3) Reading weather data at regular time intervals from the external weather

Pressure\_unit\_conv Converting the default pressure unit in the Type15–3 from "atm" into "pa"

Irradiation (Type65d) Displaying irradiation related variables while the simulation is progressing Temperature (Type65d) Displaying temperature related variables while the simulation is progressing

Containing numerical information of building geometry, load profiles, construction, window glazing properties, airflow input and output and

Hcov The convective heat transfer coefficient from the PV panel surface to

thermal behaviour of the building

Type25c Outputting the selected system variables at specified time intervals

It is demonstrated the applicability of the TRNSYS programme and its plugins in predicting the performance (for example, indoor thermal comfort and energy consumption) of the buildings incorporate the ventilated BIPV-DSF. The chapter also shows the applicability of TRNSYS in predicting the electric power produced by the semi-transparent PV panels, which serve as the external window glazing in

However, the BIPV-DSF model in TRNSYS should be further validated in order to reduce the discrepancies in-between the simulated and the actual building/façade behaviours, and therefore ensure the proposed BIPV-DSF model is created accurately and reliably. At this point, future work is supposed to calibrate the BIPV-DSF model against the real building/façade settings, hence it is possible to check validity and accuracy of the simulation results as well as to eliminate the random errors.

**72**

Siliang Yang1,2\*, Francesco Fiorito2,3, Deo Prasad2 and Alistair Sproul4

1 School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, United Kingdom

2 School of Built Environment, University of New South Wales, Sydney, Australia

3 Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Bari, Italy

4 School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney, Australia

\*Address all correspondence to: s.yang@leedsbeckett.ac.uk

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
