Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module

: This paper focuses on the embodied energy and cost assessments of a static concentrating photovoltaic (CPV) module in comparison to the ﬂat photovoltaic (PV) module. The CPV module employs a speciﬁc concentrator design from the Genetically Optimised Circular Rotational Square Hyperboloid (GOCRSH) concentrators, labelled as GOCRSH_A. Firstly, it discussed previous research on life cycle analyses for PV and CPV modules. Next, it compared the energy embodied in the materials of the GOCRSH_A module to the energy embodied in the materials of a ﬂat PV module of the same electrical output. Lastly, a comparison in terms of cost is presented between the analysed GOCRSH_A module and the ﬂat PV module. It was found that the GOCRSH_A module showed a reduction in embodied energy of 17% which indicates a reduction in embodied carbon. In terms of cost, the costs for the GOCRSH_A module were calculated to be 1.71 times higher than the ﬂat PV module of the same electrical output. It is concluded that a trade-off is required between the embodied energy and cost impacts in order to bring this CPV technology into the market. Author Contributions: Conceptualization, D.F.R.; data curation, D.F.R.; formal analysis, D.F.R.; funding acquisition, and J.A.A.-R.; investigation, methodology, software, T.J. and C.G.; validation, and visualization, D.F.R. and F.M.-S.; writing—original draft, J.A.A.-R., manuscript.


Introduction
During the United Nations Climate Change Conference in 2015, 195 of the member states agreed that climate change will be the main threat to humanity for years to come [1]. Our heavy reliance on fossil fuels for energy generation and our excessive energy consumption in the Global North are the core of this problem. In order to keep global warming within 1.5 • C above pre-industrial levels, the highlights of the outstanding Intergovernmental Panel on Climate Change (IPCC)'s 2018 report [2,3] show that whilst remaining fossil fuels must be left underground, it is crucial to reduce global energy consumption. This does not only apply to industrialised countries but also to countries that are at an earlier stage of development. Furthermore, the pollution of air, water and soil associated with energy generation has already caused humanitarian and environmental crises in fast developing countries such as China [4].
Whilst the impact of climate change is universal, people living in poverty are more vulnerable to extreme weather conditions such as floods, landslides or draughts and these are expected to become more frequent and more severe with climate change [5]. Those who have contributed the least to global warming are most severely affected by its consequences; this inequality is referred to as climate injustice [6,7]. Recognising and addressing this inequality enables us to achieve climate justice.
Our ability to adapt and build resilience to climate change depends on various factors such as financial and social security, access to education and to communication systems. In-emissions during the life cycle of the product, which can be represented as a CO 2 equivalent. A measure of the environmental performance of the product is its energy payback time (EPBT), which is the time required by the system to generate the amount of energy required during its production. Analogically, the definition for the greenhouse gas payback time (GPBT) is the amount of time a system requires to compensate for the GHG emissions that were released during its production.
The impact on the environment and human health is assessed and categorised in terms of global warming potential (GWP), acidification potential (AP), eutrophication potential (EP), human toxicity potential (HTP), photochemical ozone creation potential (POCP) and ozone layer depletion potential (ODP) [15]. According to the IPCC, the GWP refers to the release of gases that contribute to global warming [16]. AP denotes the amount of air pollutants, such as sulphur dioxide and nitrogen oxide, released during electricity production and fuel combustion, which can lead to the acidification of soils and water when transformed into acids [15,17].Čuček et al. [18] define EP as the contribution to the increase in nitrogen and phosphorus in the rivers or lakes leading to the rapid growth of water plants. Overstimulation of the growth of water plants on the surface causes a reduction of sunlight in the deeper waters, reducing photosynthesis and leading to the suffocation of fish due to the lack of oxygen [17]. Singh et al. [19] indicated that HTP relates to the emissions of substances, which due to their chemical or physical properties can cause damage to a person's health over a period of time. It includes the point source of the emissions, its behaviour and the potential to spread in the environment [17]. ODP refers to the emissions of chlorofluorocarbons and nitrogen oxides, which lead to the depletion of the ozone layer and thus to an increased amount of short-wave UV radiation, which harms animal and vegetational health [17,20]. Ozone at the ground level and in the troposphere, however, can harm the ecosystems and be toxic to humans. It is created in a reaction between nitrogen oxides and hydrocarbons under solar radiation. The main contributor to the POCP is attributed to electricity production and fuel combustion. Thus, the production process of PV cells contributes the most to the POCP.

Low Concentration Photovoltaic (LCPV) Sustainability Analyses in Literature
To date, only a limited number of LCA studies on concentrated photovoltaic (CPV) systems can be found. Lamnatou and Chemisana [11] have conducted a comparative analysis of all CPV LCA studies up to 2016 and concluded that the majority of CPV LCA studies were on high-concentration PV systems. For low-concentration PV (LCPV), only a few LCA studies have been published, which are referred to in the following paragraphs.
Lamnatou et al. [21,22] carried out two LCA studies for the truncated dielectric asymmetric compound parabolic concentrator (Di-ACPC) module, which was proposed by Sarmah [23] for building integration. The Di-ACPC was made of polyurethane, had a geometric concentration ratio of 2.8× and was assumed to be used with monocrystalline (mono-c-Si) cells. The first study [21] examined the influence of the user's location on the EPBT and showed an overall reduction in EBPT by 1.2 years compared to a flat PV module. From this analysis, PV cells were found to have the highest contribution to the embodied energy and the embodied carbon followed by the dielectric concentrators.
Lamnatou et al. [22] then completed a more advanced study of the Di-ACPC module using different life cycle impact assessment methods and environmental indicators. From the second study, PV cells were found to have the highest contribution to climate change and the highest impact on ecosystems, human health and toxicity. The concentrator, on the other hand, had the highest impact on resource depletion. The amount of resources used for the concentrator production depends on the gain-to-volume relation of the concentrator. The Di-ACPC-55 is a less compact design than the GOCRSH_A, with an optical concentration ratio of around 2.3×, while the optical concentration ratio of the Di-ACPC-55 at normal incidence is 19% smaller compared to the optical concentration ratio of the GOCRSH_A and its volume for a 100 mm 2 solar cell is smaller by 4% (Di-ACPC-55 volume for a 100 mm 2 solar cell is estimated as 2633 mm 3 ). Furthermore, the GOCRSH_A has a larger field of Sustainability 2021, 13, 13916 4 of 15 view and thus enables electricity generation for more hours. Larger sustainability benefits can therefore be assumed from the GOCRSH design compared to the Di-ACPC design.
Lamnatou et al. [24] conducted a further LCA for the 3D crossed compound parabolic concentrator (CCPC) proposed by Sellami [25]. The 3D CCPC was made from polyurethane, assumed to be used with mono-c-Si cells, had a geometric concentration ratio of 3.6× and was analysed for building integration in seven different cities. Using several LCA methodologies, similar results as the Di-ACPC LCA were obtained, with the PV cells showing the strongest impact on human health and ecosystems whilst the 3D CCPC module contributed the most to resource depletion. Since the gain-to-volume relation of the GOCRSH_A is higher than of the 3D CCPC within the angles of incidence of ±40 • , the GOCRSH is expected to further reduce the impact on human health and ecosystems and to use fewer resources. The optical concentration ratio of the GOCRSH_A within the angles of incidence of ±40 • is higher by 9.3% while its volume is smaller by 32% compared to the 3D CCPC.
A further study was undertaken by De Feo et al. [26] for a reflective V-trough concentration system installed in Italy. With a geometric concentration ratio of 2.0× and integration with poly-ci-Si cells, the analysis concluded that an environmental impact reduction in CO 2 equivalent of around 17% can be achieved.
Zawadzki et al. [27] carried out an LCA on a rotationally asymmetrical compound parabolic concentrator (RACPC) that has a geometrical concentration ratio of 2.67× and integrated with mono-c-Si cells. They found that 67% of the total embodied energy is put towards the manufacture of PV material for a conventional PV module whereas for the RACPC-PV module, 50% of all total embodied energy is used in the manufacture of all concentrators made from Poly(methyl methacrylate) (PMMA). They concluded that the RACPC-PV module has a reduction of 11.76% of the embodied energy material manufactured when compared to a conventional solar photovoltaic (PV) module.
An LCA for the asymmetric compound parabolic concentrator (a-CPC) system made of PMMA, with a power ratio of 1.74× and integration with mono-c-Si cells was carried out by Li et al. [17]. The authors identified that PV cells had the main contribution to the AP, GWP, EP and HTP followed by the production of the a-CPC device. The production of the mono-c-Si solar cells and the transformation from MMA to PMMA were identified as the most energy-intensive process steps. Therefore, a reduction in PV and PMMA materials is crucial to minimise the environmental impact of the CPV system.
Overall, the AP, EP and HTP in CPV systems are associated with the electricity generation required for the production of the module components. The AP impact increases with the amount of coal-based electricity in the electricity mix since the combustion of coal leads to the release of nitrogen oxide. The EP influence is mainly due to the release of phosphate and nitrite acid during electricity and steam production. From the module assembly process, the polyethylene terephthalate (PET), polyvinyl fluoride (PVF), ethylenevinyl acetate (EVA) foils and the glue, as well as the aluminium, were identified as the main contributors [17]. Furthermore, the HTP effect is mainly due to heavy metals and emissions released to the air and clean water during the production of electricity, steam and materials [17]. In contrast to the indicators discussed above, the main contributors to the ODP are primarily attributed to the fabrication of primary aluminium for the module frame [17]. From the LCPV LCA analyses carried out in the literature, it can be concluded that the substitution of the PV material with dielectric concentrators reduces the impact of the modules on the environment mainly by reducing the energy embodied in the module materials [17]. In the following Section 3, a comparison is drawn between the energy embodied in the materials of the GOCRSH_A module and a flat PV module.

Concentrator Design
The Genetically Optimised Circular Rotational Square Hyperboloid (GOCRSH) concentrator was proposed by Freier Raine et al. [12] for portable solar systems, and its characteristics are used in this study for the comparison between concentrated and nonconcentrated solar modules. Figure 1 shows a cross-section of a GOCRSH concentrator. The detailed information on how to produce GOCRSH was discussed recently by Freier Raine et al. [12] and will not be covered in this paper. To simplify the analysis, a specific GOCRSH concentrator design, labelled as GOCRSH_A, will be used, and its characteristics are presented in Table 1. The Genetically Optimised Circular Rotational Square Hyperboloid (GOCRSH) concentrator was proposed by Freier Raine et al. [12] for portable solar systems, and its characteristics are used in this study for the comparison between concentrated and non-concentrated solar modules. Figure 1 shows a cross-section of a GOCRSH concentrator. The detailed information on how to produce GOCRSH was discussed recently by Freier Raine et al. [12] and will not be covered in this paper. To simplify the analysis, a specific GOCRSH concentrator design, labelled as GOCRSH_A, will be used, and its characteristics are presented in Table 1.

. PV and CPV System Assumptions
In this analysis, the GOCRSH_A module and the flat PV module are assumed to have the same electrical output. To size the modules, the characteristics of the d.light S300 solar charger [28] PV panel and battery are used as guidelines. Their characteristics are as indicated in Tables 2 and 3.

PV and CPV System Assumptions
In this analysis, the GOCRSH_A module and the flat PV module are assumed to have the same electrical output. To size the modules, the characteristics of the d.light S300 solar charger [28] PV panel and battery are used as guidelines. Their characteristics are as indicated in Tables 2 and 3. To be able to charge a battery of the size described in Table 3, the arrangements of the cells in the CPV and PV module were chosen to result in the same I MPP , V MPP and P MPP as the mono-c-Si PV panel described in Table 2. Consequently, PV cell arrangements of the CPV and PV module were chosen as summarised in Table 4, and the visual representation of the modules is given in Figure 2. The solar cell size in the GOCRSH_A PV module is 1 cm 2 while the solar cell size in the flat PV module is 13 cm 2 . Five strings of concentrated PV cells are connected in parallel to match the current of the flat PV module. To match the voltages of the module, 11 concentrated cells and 13 non-concentrated cells are connected in series. The resulting electrical characteristics of the GOCRSH_A and flat PV module under STC conditions are shown in Table 5.  To be able to charge a battery of the size described in Table 3, the arrangements of the cells in the CPV and PV module were chosen to result in the same IMPP, VMPP and PMPP as the mono-c-Si PV panel described in Table 2. Consequently, PV cell arrangements of the CPV and PV module were chosen as summarised in Table 4, and the visual representation of the modules is given in Figure 2. The solar cell size in the GOCRSH_A PV module is 1 cm 2 while the solar cell size in the flat PV module is 13 cm 2 . Five strings of concentrated PV cells are connected in parallel to match the current of the flat PV module. To match the voltages of the module, 11 concentrated cells and 13 non-concentrated cells are connected in series. The resulting electrical characteristics of the GOCRSH_A and flat PV module under STC conditions are shown in Table 5.  The IMPP and VMPP of the concentrated PV module are slightly higher, resulting in an overall higher PMPP by 93 mW. It needs to be kept in mind, however, that the measured IMPP, VMPP and PMPP values of the GOCRSH_A device are subject to a high manufacturing error of 13.5%. With a lower manufacturing error of only 5%, as was the case for the GOCRSH_C [29], the IMPP for the GOCRSH_A device would be 64 mA instead of 58 mA. This would result in an IMPP of the GOCRSH_A module of 320 mA and a PMPP of 1.760 W, neglecting the logarithmic increase in VMPP with higher PV cell illumination.  The I MPP and V MPP of the concentrated PV module are slightly higher, resulting in an overall higher P MPP by 93 mW. It needs to be kept in mind, however, that the measured I MPP , V MPP and P MPP values of the GOCRSH_A device are subject to a high manufacturing error of 13.5%. With a lower manufacturing error of only 5%, as was the case for the GOCRSH_C [29], the I MPP for the GOCRSH_A device would be 64 mA instead of 58 mA. This would result in an I MPP of the GOCRSH_A module of 320 mA and a P MPP of 1.760 W, neglecting the logarithmic increase in V MPP with higher PV cell illumination.
The P MPP of the module changes with the angle of incidence of light, which influences the battery charging time. For comparison, the averaged I MPP , V MPP and P MPP within the angles of incidence of ±40 • were calculated for the CPV and PV module and the results are presented in Table 6. The averaged measured P MPP within the angles of incidence of ±40 • is 8.9% lower for the GOCRSH_A module and 10.7% lower for the flat PV module compared to the measured P MPP at normal incidence. This shows that within the angles of incidence of ±40 • , the charging behaviour of the battery will remain in a similar pattern for both modules.

Analysis Method
As indicated earlier, the work here will only focus on the embodied energy and the cost of implementing the CPV system. Following the LCA analysis for the a-CPC carried out by Li et al. [17], the production of the mono-c-Si and the transformation from MMA into PMMA are the most energy-intensive process steps of a CPV module with PMMA concentrators. To define the limitations of this analysis, system boundaries and assumptions are outlined in the following paragraphs.

System Boundaries
The sustainability analysis of the GOCRSH_A includes the calculation of the embodied energy in materials of the module from the stage of raw material extraction up to the stage of CPV module dispatch, therefore the energy required for transportation, use and after-life is not included. The embodied energy of the PV cells included all process steps from quartz mining to cell fabrication. The embodied energy of the GOCRSH_A concentrator included all process steps from raw material extraction to MMA to PMMA transformation and PMMA injection moulding [30][31][32].
For the module encapsulant, the embodied energy comprises energy embodied in the materials. The embodied energy in the tabbing wire and the aluminium frame is the energy embodied in copper and aluminium only, whilst the embodied energy in the front cover sheets included the energy embodied in the material and the energy required for PMMA extrusion. The process energy for module assembly is taken as 27% of the embodied energy in the module materials (tabbing wire, PV cell encapsulation, front cover sheet, module frame and backsheet) according to the value used in [21,22,24,33].

•
The photovoltaic material for the CPV and PV module is mono-c-Si with 10% cell efficiency obtained via indoor experiment under standard test conditions [34]. • Cables and contact boxes are not considered since they are assumed to be the same for both modules of the same power rating. • Concentrator injection moulding and module assembly are assumed to be carried out at one site.

GOCRSH_A and Flat PV Module Components
The basic components of the GOCRSH_A module and the flat PV module are listed in Table 7. Although the front sheet of the d.light S300, which is taken for reference, has a polymer front sheet, glass is taken as the front sheet for the flat module and as the front and backsheet for the concentrated module, since the type of polymer used in the d.light S300 is not known.
In conventional PV modules, the backsheet is typically a composite material of a 0.25 mm PET film between two Tedlar films of 40 µm thickness (TPT) [35]. Therefore, the back sheet does not provide a support structure but is used for weather resistance, UV resistance and acts as a moisture barrier.
The GOCRSH_A module, however, needs a backsheet that can carry the weight of the GOCRSH_A concentrators, which is a total of 175 g here. A glass-glass module structure is therefore assumed for the concentrated module with 2-mm-thick tempered glass.

Embodied Energy in the GOCRSH_A and Flat PV Modules
For the comparison in embodied energy (EE) between the GOCRSH_A module and the flat PV module, the material properties, as summarised in Table 8, were used.

Cost Analysis of GOCRSH_A and the PV Modules
The cost analysis carried out here only assesses the material cost to produce each module. A literature search was employed to estimate the current cost for the materials. For the cost estimation of the GOCRSH_A design, the CustomPartNet online tool was used [40]. Some assumptions used to carry out this analysis include:

•
The concentrator is fabricated using the injection moulding technique.

•
The estimated cooling time of the concentrator with a simple cooling system is 270 s [41,42]. • The assembly of single concentrators into a module therefore requires an intelligent assembly process.

•
The labour cost for module assembly is omitted.

Results and Discussions
A reduced comparative table of the energy embodied in the concentrated and nonconcentrated array materials is presented in Table 9. The EE in the GOCRSH_A concentrated PV cell is lower by 33% compared to a non-concentrated PV cell of the same electrical output. The total savings in the embodied energy when comparing the modules are, however, 17%. This is because the GOCRSH_A module requires a wider and taller frame, a larger front sheet, a self-supporting back sheet as well as more copper tabbing wire. The total dimensions of the GOCRSH_A module are 375 mm × 75 mm × 29 mm and of the flat PV module 274 mm × 141 mm × 17 mm. The back of both aluminium frames includes an air gap for passive cooling. The larger size of the GOCRSH_A module is mainly due to the low packing density of the GOCRSH_A in a rectangular module (Figure 3a). Based on this analysis, the future design of a nonimaging concentrator for a portable solar system is recommended to incorporate the packing density of the GOCRSH_A into the optimisation objective. For instance, the angular response of the GOCRSH_A on the diagonal line is wider than at the x-y plane. Future work can therefore investigate to what extent the packing density can be increased by cutting the edges of the entrance aperture at the diagonal plane as shown in Figure 3b without sacrificing much of the optical efficiency within the angles of incidence of ±40 • . Figure 4 shows the propagation of light rays in the GOCRSH_A concentrator at the diagonal plane at angles of incidence of 10 • , 20 • , 30 • and 40 • . It can be seen that the edge of the entrance aperture is of lower optical importance. The larger size of the GOCRSH_A module is mainly due to the low packing density of the GOCRSH_A in a rectangular module (Figure 3a). Based on this analysis, the future design of a nonimaging concentrator for a portable solar system is recommended to incorporate the packing density of the GOCRSH_A into the optimisation objective. For instance, the angular response of the GOCRSH_A on the diagonal line is wider than at the x-y plane. Future work can therefore investigate to what extent the packing density can be increased by cutting the edges of the entrance aperture at the diagonal plane as shown in Figure 3b without sacrificing much of the optical efficiency within the angles of incidence of ±40°. Figure 4 shows the propagation of light rays in the GOCRSH_A concentrator at the diagonal plane at angles of incidence of 10°, 20°, 30° and 40°. It can be seen that the edge of the entrance aperture is of lower optical importance.   Although the proposed concentrator design shows potential for improvement terms of packaging density, the introduction of the suggested concentrator design to por able systems must demonstrate that it could reduce the embodied energy, which has bee investigated and proven in this section. Furthermore, the reduction of PV materi through the use of PMMA concentrators increases the recyclability of the module, sin PMMA is fully recyclable and does not require high technology plants, as opposed to s icon PV cells. PMMA has been proven to be non-hazardous to the human body and h even been used for biological implants [43]. The increased material volumes for the co centrated module, the PMMA front sheet, copper tabbing wire and the aluminium fram and backsheet are all fully recyclable materials as opposed to silicon solar PV cells.

Cost Analysis of the GOCSRH_A and Flat PV Modules
When it comes to the uptake of technology, affordability, accessibility and awarene Although the proposed concentrator design shows potential for improvement in terms of packaging density, the introduction of the suggested concentrator design to portable systems must demonstrate that it could reduce the embodied energy, which has been investigated and proven in this section. Furthermore, the reduction of PV material through the use of PMMA concentrators increases the recyclability of the module, since PMMA is fully recyclable and does not require high technology plants, as opposed to silicon PV cells. PMMA has been proven to be non-hazardous to the human body and has even been used for biological implants [43]. The increased material volumes for the concentrated module, the PMMA front sheet, copper tabbing wire and the aluminium frame and backsheet are all fully recyclable materials as opposed to silicon solar PV cells.

Cost Analysis of the GOCSRH_A and Flat PV Modules
When it comes to the uptake of technology, affordability, accessibility and awareness are the three main aspects to consider from the customer perspective. Whilst accessibility and awareness would be equal for a CPV and PV module, the accessibility of replacement parts becomes more difficult for the GOCRSH design at the beginning of its implementation, yet a replacement concentrator can be easily manufactured locally using silicon mould casting. The affordability of nonimaging CPV modules poses challenges as opposed to past research in [25,38], which suggested low-cost mass-manufacturing of the nonimaging concentrators by injection moulding. The large thickness of the nonimaging concentrators strongly influences the production costs, due to the long cooling time of the injected plastics as the cooling time increases quadratically with the concentrator thickness [44].
For the cost estimation of the GOCRSH_A design, the CustomPartNet online tool was used [40]. The estimated cooling time of the concentrator with a simple cooling system is 270 s [41,42]. The total manufacturing costs were calculated as £0.0210 per GOCRSH_A concentrator, whilst a 1 cm 2 mono-c-Si solar cell costs £0.0033 [45], making the concentrator 6.3 times more expensive than the 1 cm 2 mono-c-Si solar cell. The breakdown of the costs shows that the production cost is £0.0183 per concentrator and the material cost £0.0026 per GOCRSH_A concentrator. The high production cost is due to the long cooling time of the concentrator. Innovative approaches to reducing the cooling time are necessary to reduce the production costs and thus the overall manufacturing costs of the GOCRSH_A.
Furthermore, an injection moulded interconnected concentrator array as suggested by [23,25,38] is not recommended, since thinner parts of the concentrator array, such as the interconnections between the concentrators, cool down quicker than the concentrators themselves, resulting in warpage of the concentrator array. The assembly of single concentrators into a module therefore requires an intelligent assembly process.
To calculate the total price of the GOCRSH_A and the flat PV module, material prices as shown in Table 10 were used. Table 11 shows the reduced table of the material costs of the GOCRSH_A and flat PV module. Without considering the costs for module assembly, the cost of the GOCRSH_A module is 1.87 times higher than of the flat PV module, making the use of the nonimaging concentrators in mono-c-Si systems not financially attractive.

Summary and Conclusions
The main focus of this paper was to compare the embodied energy and cost to produce a GOCRSH_A module to those of a flat PV module. From the few full LCA studies available on LCPV in the literature, it was concluded that the implementation of nonimaging concentrators into PV modules greatly reduces the embodied energy of the modules, their global warming potential as well as their acidification potential, eutrophication potential and human toxicity potential. The main contribution to the ozone layer depletion was shown to be by the aluminium frame. The embodied energy analysis only included the embodied energy in materials and processes. In combination with mono-c-Si PV cells, the GOCRSH_A module showed a reduction in embodied energy of 17%, which indicates a reduction in embodied carbon as well as in the HWP, EP, AP and HTP. It was discussed that the material usage of the panel and therefore the embodied energy can be further reduced by increasing the packaging density of the GOCRSH_A. Possible improvements of the GOCRSH_A design to achieve this goal are suggested for future work.
To compare the affordability of the GOCRSH_A to a flat PV module, the costs of the module materials were also analysed. Injection moulding for mass-manufacturing has been suggested in the literature [25,38] as the most economic manufacturing process for nonimaging concentrators. However, the large concentrator height has a strong impact on the mould cooling time dominating the manufacturing costs of the GOCRSH_A concentrator. The costs for the GOCRSH_A module were calculated to be 1.71 times higher than the flat PV module of the same electrical output. Innovative methods for dynamic temperature regulation are necessary to reduce the cycle time of the GOCRSH_A production and its manufacturing costs.
This paper demonstrated that the GOCRSH_A concentrated PV module uses less embodied energy than the flat PV module. On the other hand, the identified increased costs make this technology less affordable to those who are in need of a low-cost clean energy solution. Further measures to reduce the GOCRSH module costs are necessary for this technology to be affordable by the bottom of the social pyramid without subsidies.