A Brief Review of the Latest Advancements of Massive Solar Thermal Collectors
Abstract
:1. Introduction
2. Experimental Methods
- Type of end application: heating, cooling, or production of domestic hot water (DHW).
- Use of collected heat: direct or indirect method. The first method occurs when solar energy covers partially or entirely the energy demand to produce domestic hot water and/or internal heating in buildings, or when the collected heat from the MSTC can reduce the internal temperature of the building, thus covering part of the demand for space cooling. The indirect method, on the other hand, occurs when the heat collected by the MSTC is used as a source for a heat generation system, such as a heat pump.
- Degree of integration into the building envelope: MSTCs can be fully integrated into the building (Figure 1a) or into the roof or façades; partially integrated (Figure 1b) and detached from the building (Figure 1c). The latter type includes systems that are completely detached from the building envelope such as, for example, horizontal pavements like road surfaces and driveways, or vertical external walls or prefabricated structures like garden perimeter walls and external garage structures. It is evident that in MSTCs completely detached from the building there is no optimization concerning orientation and inclination of the surfaces to better capture the solar radiation, because they are structures or parts of structures that already have a main function.
- The thickness of the plate affects the performance of the collector. In fact, as the thickness of the collector increases, the efficiency factor and heat removal rate increase, around 47% and 39%, respectively, and tend to become constant with 0.04 m plate thickness.
- As the space between the pipes increases, given constant pipe diameter, overall heat transfer coefficient and fluid flow rate, the heat removal values decrease around 30% and 55%, whatever the plate thickness.
- As the diameter of the tubes increases, the space between the tubes, the water flow rate and the heat transfer coefficient being constant, the fin effectiveness of the collector increases between 4% and 8.9% for all collector thicknesses analyzed. The effectiveness of the collector increases with increasing pipe diameter as the transfer by conduction decreases.
- Given constant pipe spacing and pipe diameter, as the water flow rate increases, the heat reduction factor of the collector increases regardless of the collector thickness.
3. Numerical Modeling
4. Future Directions
5. Conclusions
- MSTCs are simple devices to build and are easy to operate. They can be implemented as modular systems with reduced construction costs compared to the costs required to construct traditional collectors and are also easy to maintain. For instance, these reduced costs make these devices suitable for rural or remote areas where there is not always a supply of electricity.
- The durability of metallic materials of traditional flat solar collectors is limited by the threat of corrosion. Concrete, instead, is inherently durable, maintenance-free, and has good thermal storage qualities, which make this material an excellent candidate for MSTCs.
- Attention should be paid to the main parameters of MSTCs. In this sense, the thickness of the plate affects the performance of the collector. As the thickness of the collector increases, the efficiency factor and heat removal rate increase around 47% and 39%, respectively. Also, as the diameter of the tubes increases the fin effectiveness of the collector increases between 4% and 8.9%. On the contrary, as the space between the pipes increases the heat removal values decrease around 30% and 55%, whatever the plate thickness.
- There is a linear correlation between the solar collector area and hot water consumption. The integration of massive collectors in façades could be a good solution when there is a high demand for hot water but a small roof area of the building.
- The modeling of an MSTC can be done in different ways, from simple 2D models up to complete, fully 3D simulations, which of course improves the accuracy at the expense of increasing the computational cost of solving these problems. Finite element and finite volume methods are generally used to solve the physical problem. Additionally, artificial neural network models were also implemented to reduce the computational cost of the simulations.
- Simulation analyses showed that attached collectors (integrated with the façade) can reduce the heat gains into the building while at the same time producing hot water. Another key point is that the payback period for these systems is only 2.54 years, an important characteristic for improving the market’s penetration of this technology.
- Sensitivity analysis by numerical modeling confirmed that the diameter of the tubes, the spacing between them, and the absorber thickness are the main design parameters that influence the collector’s energy output, as was also demonstrated by experimental studies.
- Other studies showed that concrete thermal conductivity and solar absorptance are also pointed out as two important parameters that influence the performance of the device. Modification of these properties can increase the efficiency by 10% and 33%, respectively. In this sense, thermal conductivity can be increased by adding highly conductive materials, like metallic scrap and wire mesh, which have been shown to improve the performance of the collector.
- Using asphalt as an alternative material to concrete showed that thermal conductivity and asphalt surface absorptivity are also important parameters for MSTCs. Changing these properties can lead to an increase in efficiency up to 6.4% and 12.2%, respectively.
- Regarding the integration with buildings, it was found that in the presence of a well-insulated back of the concrete absorber material, the collector has a negligible influence on the interior environment of a building. This is an important point that allows us to simplify the modeling of solar collectors in general by assuming detached configurations.
- Regarding the inclusion of TES systems in solar collectors it was found that the correct inclusion of latent-based TES materials can improve the energy performance of MSTCs. Improvements of 38.9% and 27.4% were possible in warm and cold climates, respectively.
- The use of recycled aggregates could be an interesting choice for the use in MSTCs. They can contribute positively in two ways, by increasing the TES capacity of the collector by using PCMs, and by reducing the negative environmental impact of construction wastes.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
CO | Carbon dioxide |
MSTC | Massive solar thermal collector |
TES | Thermal Energy Storage |
PCM | Phase Change Material |
DHW | Domestic hot water |
PVC | Polyvinyl chloride |
PSC | Pavement solar collector |
MFRC | Metal-fiber-reinforced concrete |
ASC | Asphalt solar collector |
TMY | Typical meteorological year |
CFD | Computational fluid dynamics |
ANN | Artificial neural network |
MIP | Mercury Intrusion Porosimetry |
PB | Poroton® fired-clay block |
HDPE | High density polyethylene |
PE-X | Polyethylene |
GRC | Glass-reinforced concrete |
CCC | Cellular-clayey concrete |
Appendix A
Year | Analysis (T/E) | Application | Massive Material | Main Characteristics A (m), t (m) | Pipe Material | Main Characteristics Ø (mm), (mm), (L/min) | Efficiency (Yes/No) Glazing, Back Insulation, Black Paint | References |
---|---|---|---|---|---|---|---|---|
2023 | E | HR | Asphalt | A = 0.08, t = 0.05 | Copper | = 24.5, = only 1 pipe, = - | no, yes, no | [38] |
2022 | T | DHW | Concrete | A = -, t = 0.127 | - | = 25.4, = 165, = - | no, no, no | [8] |
2021 | E | DHW | Concrete | A = 2.24, t = 0.10 | Aluminum | = 12.5, = -, = 0.24, 0.38 and 0.50 | no, no, yes | [39] |
2020 | T and E | W | Asphalt mixture | A = 1.2, t = 0.2 | Stainless steel | = 15.8, = 110, = 0.4, 1.34, 0.98 and 1.07 | no, no, no | [17] |
2020 | T and E | W | Asphalt | A = 1.0, t = 0.062 | Galvanised steel | = 14.0, = 117, = 0.25–1.50 | no, yes, no | [18] |
2019 | E | W | Asphalt | A = 0.50, t = 0.05 | Copper | = 9.52, = 50, = 1.20 | yes, yes, no | [40] |
2019 | E | W | Reinforced Concrete | A = 2.0, t = 0.03 | - | = 12.7, = 150, = 1.0 | yes, yes, yes | [16] |
2018 | T | DHW | Concrete and refractory carborundum brick | A = 16.0, t = 0.23 | Copper | = 10.0–20.0, = -, = 0.12–0.22 | no, yes, no | [25] |
2018 | E | W | Concrete | A = 2.0, t = 0.03 | Copper | Ø = 8.0, = 80, = 0.33–0.75 | yes, yes, no | [15] |
2017 | T | DHW and H | Concrete | A = 1.0, t = 0.08 | Copper | = 15.0, = 50, = 0.30 | no, yes, yes | [22] |
2017 | T and E | DHW | Concrete | A = 1.0, t = 0.08 | Copper | = 15.0, = 50, = 1.20 | no, yes, yes | [11] |
2017 | E | DHW | Reinforced Concrete | A = 2.0, t = 0.035 | Copper | = 10.0, = 80, = 0.50 | yes, yes, yes | [14] |
2017 | E | W | Ceramic | A = 1.597, t = 0.027 | Ceramic | = 17.0, = 40, = 1.98, 2.34, 2.70 | yes, yes, yes | [29] |
2016 | T and E | W | Asphalt concrete | A = 1.67, t = 0.119 | Copper | = 15.0, = 457, = 1–4 | no, no, no | [13] |
2016 | T and E | H | Concrete | A = 2.20, t = 0.07 | - | = 12.0, = -, = 2.50 | no, yes, no | [24] |
2016 | E | SWH | Reinforced Concrete | A = 2.0, t = 0.10 | Copper | = 12.0, = 80, = 0.417 | yes, yes, yes | [12] |
2014 | E | W | Concrete with/without aluminum wire mesh and iron scraps | A = 2.24, t = 0.10 | Aluminum and | Ø = 12.5, = 1.20 PVC | no, no, yes | [9] |
2013 | T | W | Concrete | A = 3.50, t = 0.127 | PE-X | = 25.4, = 16.5, = 15–75 (kg/h m) | no, no, no | [5] |
2013 | T | H | Concrete | A = -, t = 0.07 | - | Ø = 16.0, = 200, = - | no, yes, no | [41] |
2013 | E | W | Asphalt concrete (upper and bottom layers) | A = 0.104, t = 0.09 | Porous asphalt layer instead | Ø = -, = -, = - of embedded pipe network | no, no, no | [42] |
2012 | E | W | Concrete | A = -, t = 0.25 | Acrylic plastic | Ø = -, = -, = - | no, no, yes | [43] |
2011 | T and E | H | Plaster | A = 2.5–5, t = - | PE | Ø = -, = -, = - | no, yes, yes | [44] |
2011 | T and E | W | Concrete | A = 5.75, t = 0.12 | PVC | = 25.4, = 100, = - | no, no, no | [23] |
2011 | T and E | IM | Asphalt concrete | A = 2.7, t = 0.1 | Copper | = 20, = 300, = 0–1 | no, yes, no | [45] |
2011 | E | HR | Asphalt | A = 0.09, t = 0.15 | Copper | = 20, = 100, = 0–2 | no, yes, no | [46] |
2010 | T and E | DHW | Concrete | A = 2.0, t = 0.04 | Copper | = 14, = 100, = 2.48 | yes, yes, yes | [47] |
2010 | T | IM | Asphalt | A = 0.72, t = 0.078 | - | = 20, = 90–150, = 1.17, 1.33 and 1.67 | no, no, no | [48] |
2009 | E | HEE | Asphalt concrete | A = 0.09, t = 0.15 | Copper | = 20, = 100, = 0–1 | no, yes, no | [49] |
2008 | E | IM | Concrete pavement | A = 1, t = 0.3 | HDPE | = 25, = 200, = <83 | no, yes, no | [50] |
2007 | T | DHW and H | Concrete | A = 5.25, t = 0.229 | Copper | Ø = 6.35, = -, = 11.4–0.00016 | yes, yes, yes | [51] |
2004 | T | W and H | Concrete | A = 1.16, t = 0.038 | PE | = 20, = 19, = - | yes, no, yes | [52] |
2002 | T and E | HT | Concrete | A = 0.312, t = 0.10 | Not present | Ø = -, = -, = - | no, yes, no | [53] |
2000 | E | DHW | Reinforced Concrete | A = 1.06, t = 0.055 | Aluminum | = 19.0, = 60, = 1.33–1.67 | no, no, yes | [7] |
2000 | T and E | H | CCC | A = 1.88, t = 0.20 | - | Ø = -, = -, = 5.6 and 9.0 | no, no, no | [21] |
1994 | E | W | Concrete | A = 0.90, t = 0.050 | Galvanised steel | = 16.4, = 100, = 0.011, 0.022 and 0.033 (kg/s m) | yes, yes, yes | [54] |
Concrete | A = 0.90, t = 0.050 | Propyleneglycol | = 13.0, = 100, = 0.011, 0.022 and 0.033 (kg/s m) | yes, yes, yes | ||||
Concrete | A = 0.93, t = 0.050 | PVC | = 13.5, = 100, = 0.011, 0.022 and 0.033 (kg/s m) | yes, yes, yes | ||||
1992 | T | W | GRC | A = -, t = 0.020 | - | Ø = 10.0, = 40–100, = - | no, no, no | [55] |
1992 | T | W | Cellular concrete | A = 0.90, t = 0.035 | PVC | = 20.0, = 60–150, = 0.60–1.20 | yes, yes, yes | [56] |
1989 | E | W | Cellular concrete | A = 0.90, t = 0.035 | PVC | = 20.0, = 60–150, = 0.60–1.20 | yes, yes, yes | [57] |
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Properties | Sample Identification Number | |||||
---|---|---|---|---|---|---|
Sample 1 (2–4 mm) | Sample 2 (2–4 mm) | Sample 3 (2–4 mm) | Sample 1 (4–8 mm) | Sample 2 (4–8 mm) | Sample 3 (4–8 mm) | |
Sample skeleton density () | 2.643 | 2.643 | 2.641 | 2.634 | 2.630 | 2.631 |
Sample mass (g) | 0.839 | 0.637 | 1.247 | 1.008 | 1.128 | 1.101 |
Properties | Sample Identification Number | |||||
---|---|---|---|---|---|---|
Sample 1 (2–4 mm) | Sample 2 (2–4 mm) | Sample 3 (2–4 mm) | Sample 1 (4–8 mm) | Sample 2 (4–8 mm) | Sample 3 (4–8 mm) | |
Open porosity (Vol.-%) | 34.33 | 34.30 | 34.29 | 35.59 | 35.02 | - |
Closed porosity (Vol.-%) | 2.95 | 1.64 | 1.78 | 0.45 | 0.79 | - |
Total porosity (Vol.-%) | 37.28 | 35.94 | 36.07 | 36.04 | 35.81 | - |
Properties | Value | |||
---|---|---|---|---|
Skeleton density () | 2.637 | |||
Bulk density () | 1.682 | |||
Open porosity (Vol.-%) | 34.706 | |||
Closed porosity (Vol.-%) | 1.522 | |||
Total porosity (Vol.-%) | 36.228 | |||
Capillarity pores (Vol.-%) | 94.394 | |||
RT 44 HC | RT 62 HC | |||
Paraffin liquid density * () | 0.70 | 0.84 | ||
Heat storage capacity * () | 250 | 230 | ||
Filling degree (Vol.-%) | 65 | 80 | 65 | 80 |
Amount of Paraffin (M.-%) | 8.86 | 10.91 | 10.64 | 13.09 |
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Aquilanti, A.; Peralta, I.; Koenders, E.A.B.; Di Nicola, G. A Brief Review of the Latest Advancements of Massive Solar Thermal Collectors. Energies 2023, 16, 5953. https://doi.org/10.3390/en16165953
Aquilanti A, Peralta I, Koenders EAB, Di Nicola G. A Brief Review of the Latest Advancements of Massive Solar Thermal Collectors. Energies. 2023; 16(16):5953. https://doi.org/10.3390/en16165953
Chicago/Turabian StyleAquilanti, Alessia, Ignacio Peralta, Eduardus A. B. Koenders, and Giovanni Di Nicola. 2023. "A Brief Review of the Latest Advancements of Massive Solar Thermal Collectors" Energies 16, no. 16: 5953. https://doi.org/10.3390/en16165953
APA StyleAquilanti, A., Peralta, I., Koenders, E. A. B., & Di Nicola, G. (2023). A Brief Review of the Latest Advancements of Massive Solar Thermal Collectors. Energies, 16(16), 5953. https://doi.org/10.3390/en16165953