This investigation explores ways to enhance the thermal and electrical performance of BIPV/T systems while preserving hydraulic efficiency. Multi-objective models were created to simulate BIPV/T collectors, a BISAH, and their integration with an ASHP; these models allow the following:
Key areas of this study include the emissivity of air channel surfaces, the emissivity of the collector’s glass cover, a performance comparison between opaque (OBIPV/T) and transparent (TBIPV/T) BIPV/T systems, and the placement of collectors within BIPV/T-BISAH systems. The latter part of this study also looked at varying the flowrate of the BIPV/T–BISAH system to improve the overall efficiency of the BIPV/T-BISAH-ASHP system.
2.1. OBIPV/T Collector Energy Balance
The energy balances below reference
Figure 1a. The model was developed with the following assumptions: one-dimensional air flow, non-negligible capacitance of the air, temperature gradients along the direction of the air flow, uniform material properties, one-dimensional steady-state heat transfer, convective heat transfer coefficients at the channel surfaces based the average air temperature collector, and negligible longwave radiation between the glass cover and nearby structures.
For the top glass cover,
where
,
,
, and
are the temperatures of the PV cell, glass cover, ambient air, and sky, respectively;
is the convective heat transfer coefficient of the wind on the cover;
is the radiative heat transfer coefficient for the cover and the sky; and
is R-value of glazing.
For the PV cell layer,
where
is the net absorbed solar thermal flux at the PV layer for an OBIPV/T,
is the temperature of the upper surface of the air channel, and
is the R-value measured from the PV surface to the upper channel surface (PV cells and tedlar layer); the other parameters are defined in Equation (1).
For the upper surface of the air channel,
where
is the convective heat transfer coefficient to air within the channel;
is the radiative heat transfer coefficient between the collector air channel’s upper and lower surface; and
is the temperature of the lower channel surface.
For the air flow,
where
is the heat flux to air stream in the collector.
For the lower surface of the air channel,
where
is the temperature of the interior zone surface; and
is the R-value of roof insulation.
The estimation of the net absorbed solar thermal flux,
, is the thermal power flux available after a portion has been deducted for PV electricity generation,
. Expressions
and
, as written by Kamel and Fung [
12], are in Equations (6) and (7), followed by further definitions of terms and products (Equations (8) and (9)). The inclusion of the PF requires modifications to these equations, presented in Equations (10) and (12).
where
is the transmittance–absorptance product for the total radiation on a surface;
is the total irradiance on a tilted surface;
is the panel surface area; and
is the efficiency of PV cells. The product
is the solar radiation absorbed by the panel after transmission through a single glazed layer (before deducting for electrical generation) and is expressed as
where
,
, and
are the beam, sky diffuse, and ground diffuse solar irradiance components.
,
, and
are the transmittance–absorptance products of the corresponding components of the total solar radiation; each component is estimated using Equation (9):
where
and
are the glazing extinction coefficient (1/m) and glazing thickness (m), respectively.
is the incident radiation angle for a solar component
(beam, sky, diffuse, or ground diffuse), and
is the refractive angle for a particular solar component
.
The inclusion of a PV cell packing factor,
, in the OBIPV/T model allows for a comparison of two same-sized collectors, but with a different number of PV cells. The electricity generated and the net absorbed solar thermal irradiance are rewritten as follows [
17]:
where
is the area of the PV cells of a collector.
The PV cell efficiency is estimated using Equation (12) below [
12]:
where
and
are the dimensionless linear modifying factors;
and
are the reference temperature and irradiance level when the PV cells are at nominal efficiency (
).
The sky and cover exchange heat radiatively, and the radiative heat transfer coefficient is
where
and
are the cover and sky temperatures in K;
is the Stefan–Boltzmann constant;
is the emissivity of the glass cover.
The upper and lower surfaces of the air channel also exchange heat with each other, and the linearized coefficient is written as
where
is the radiative heat transfer coefficient between the collector air channel’s upper and lower surfaces; and
and
are the temperatures of lower and upper channels in K.
is the Stefan–Boltzmann constant;
and
are the emissivity of the internal channel’s upper and lower surfaces.
The Reynolds number of the air channel is estimated as
where
is the air mass flowrate (kg/s),
is the width of the collector,
is the duct/channel height (m), and
is the hydraulic diameter of the BIPV/T-BISAH duct (m). In the case of a forced air laminar flow (
< 2300), the Nusselt correlation is [
18]
For turbulent flow (
> 2300),
Furthermore, for the first collector with turbulent flow, an additional term is included for abrupt contraction. For the first collector in a row where the air first enters the array, the Nusselt correlation is written as [
12]
where
is the entrance effect factor,
is the collector length (m), and
is the hydraulic diameter of the duct. For the natural convection flowrate, the following relation was used [
19]:
where
The slope is the tilt of the collector measured in radians from the horizontal, is the acceleration constant, is the temperature difference between the upper and lower surfaces in the air channel, and and are the kinematic (m2/s) and dynamic (kg/(m·s)) viscosity of the air, respectively.
For the heat transfer between the cover and the ambient air, the following correlation for the convective heat transfer correlation is used [
20]:
The heat transfer coefficient, , is in units of W/(m2·K), and the wind velocity,, is in units of m/s.
2.2. TBIPV/T Collector Energy Balance
Similarly to the OBIPV/T model, the energy balances of the TBIPV/T collector were established with the same assumptions and were in reference to
Figure 1b.
About the cover, the energy balance is
The energy balance about the PV layer is
where
is the net absorbed solar thermal flux at the PV layer for an TBIPV/T. Note
is the R-value measured from the PV surface to the upper channel surface, just as it was in the OBIPV/T collector; however, for the TBIPV/T collector it consists of the PV cells and the glass backing.
The energy balance about the lower channel surface is
where
is the net solar thermal flux that passes through the pockets of glass between PV cells and is incident on the lower channel surface of the TBIPV/T collector.
The energy balance about the upper channel surface is
The energy balance of the air flowing through the collector is
The net absorbed thermal radiation at the PV layer and at the lower surface of the air channel, as written by Kamel and Fung [
21], are presented in Equations (27) and (28), followed by additional definitions of the terms and products in Equations (29)–(32).
In Equation (27), the and are the transmittance of the glass and absorptance of the PV cells, respectively; the product, , is the solar irradiance absorbed by the PV layer. The second term, , is the electrical energy generated per panel area. In Equation (28), the solar irradiance travels through two glazing layers (hence, the term), and only through the pockets of glass ().
Lastly,
is estimated using the following equations:
where
and
are the transmittance and reflectance for a particular solar radiation component (i.e., beam, sky diffuse, ground diffuse)
To fairly compare the performance of the TBIPV/T and the OBIPV/T collectors, the solar transmittance–absorptance model should be the same between the two models. Therefore, Equation (27) is rewritten as follows [
17]:
where the
term is the same one found in Equation (8) of the OBIPV/T model. The modified TBIPV/T model with Equation (33) models the absorption of the solar irradiance at the PV layer in the same manner as the OBIPV/T. This same relationship can be applied to TBIPV/T even with its pockets of glass and PV cell area, because inherent to Equation (8) is the assumption that all radiation transmitted through the glass is absorbed at the PV layer (i.e., without further reflection). Because the transmittance–absorptance by the PV layers is different from Kamel and Fung’s model [
21], the electrical power per panel area is modified as [
17]
All convective and radiative coefficients of the TBIPV/T are estimated in the same manner as presented previously.
2.5. Modelling an Integrated BIPV/T-BISAH-ASHP System
A simple schematic of a BIPV/T system with an air source multispeed heat pump (MSHP) is shown in
Figure 2. Hailu et al. [
23] examined the integration of a constant-air flow BIPV/T system with an ASHP under Alaskan (U.S.A.) climate and suggested that lower flowrates could increase thermal performance for their system. Similarly, Delise and Kummert [
24] simulated a BIPV/T coupled with an air-to-water heat pump by mixing a BIPV/T and outdoor air to ensure the combined flowrate was sufficient for the modelled heat pump. Tardif et al. [
25] discovered that supplying 30% of the heat pump’s required air flow from the BIPV/T reduced heating consumption savings. In these studies, modulating the total air flow through the BIPV/T based on environmental conditions could further enhance system performance. This would require an ASHP model that permits variable air flow on the source side.
EnergyPlus V8.0 is a robust open source program widely used by public and private organizations [
26,
27]. It provides a comprehensive list of residential equipment for modelling building designs. This makes it suitable for studying enhanced BIPV/T systems, as modifications and additional models can be implemented.
Models were written in FORTRAN to create a modified version of EnergyPlus V8.0. The modifications consisted of implementing quasi-steady state models of an OBIPV/T, TBIPV/T, and BISAH and modifications to the existing EnergyPlus Multispeed Heat Pump (MSHP) object (Coil:Heating:DX:Multispeed, a regression-based heat pump model [
28]) to connect it to a BIPV/T-BISAH array.
A regression heat pump model requires performance data for a range of source flowrates and temperatures. However, manufacturers rarely provide these data because in normal operation, the source temperature does not fluctuate based on the outdoor unit’s flowrate. Yet, in the integrated BIPV/T-BISAH-ASHP system, the flowrate determines the exit temperature of the BIPV/T-BISAH array. In order to capture the impact of modulating the flowrate of the BIPV/T-BISAH array on the ASHP, the modified MSHP object assumes a mixture of BIPV/T array air and outdoor air to supply the manufacturer’s total specified flowrate. Tardif et al. [
25] applied the same approach using a constant 30% mixture. In the present study, the proportion was varied, and the additional fan power required was accounted, so that the integrated system could select a BIPV/T-BISAH flowrate to satisfy the heating load most efficiently.
The integrated system forms part of the building envelope, which in turns impact the heating load it attempts to satisfy. In the modified version of EnergyPlus, the envelope relies on a lagged temperature value of the interior surface of the zone ceiling (). The simulation started by balancing the heat transfer of BIPV/T and BISAH surfaces. It then estimated the heating load for the house and simulated the performance of the multi-stage heat pump (MSHP). To avoid a computationally expensive iterative process between the envelope and HVAC simulation modules, a timestep sensitivity analysis was completed and found that a 20 min timestep offered a sufficiently steady value, indicating that the use of the lagged value does not significantly impact the overall results.