A comparative life cycle assessment of chalcogenide/Si tandem solar modules

Lunardi, Marina Monteiro; Moore, Stephen; Alvarez-Gaitan, Juan Pablo; Yan, Chang; Hao, Xiaojing; Corkish, Richard

doi:10.1016/j.energy.2017.12.130

Cited by 32 publications

(21 citation statements)

References 57 publications

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“…Lunardi et al [47] made a comparative LCA of chalcogenide/Si tandem solar modules and they investigated the environmental performances of CIGS/Si, CZTS/Si and AZTS/Si tandem solar cells, compared with Si solar modules. The efficiency of these modules was 22% and a complete cradle to grave approach was used.…”

Section: Second Generation Solar Cells Reviewmentioning

confidence: 99%

“…• kW p [26,30,31,33,38,52,56,61] phase is not considered in many works, due to lack of data (especially for the new PV panels, which are the most recent). Moreover, many studies [27,35,40,42,46,47,52,62,65,66] have analyzed the entire life cycle (from "cradle to grave") while there are few studies [32,44,51,56] focused on the analysis of a single stage (the recycling or the manufacturing phase) of the LCA. The number of works that used the same approach is reported in Figure 3.…”

Section: Functional Unitmentioning

confidence: 99%

“…Many key elements are connected to the type of PV technology analyzed and, in particular, to the different materials used/recycled, and to the processes involved in the manufacturing of the cell/module. The differences here may relate to the use of different materials for the layers [52,60], different solar cells architectures [36], different layers deposition times and temperatures [41], different process times, and production processes [33,39,47]. Some studies have focused on different manufacturing processes for the same type of module [28,35,53,67].…”

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confidence: 99%

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Review on Life Cycle Assessment of Solar Photovoltaic Panels

et al. 2020

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The photovoltaic (PV) sector has undergone both major expansion and evolution over the last decades, and currently, the technologies already marketed or still in the laboratory/research phase are numerous and very different. Likewise, in order to assess the energy and environmental impacts of these devices, life cycle assessment (LCA) studies related to these systems are always increasing. The objective of this paper is to summarize and update the current literature of LCA applied to different types of grid-connected PV, as well as to critically analyze the results related to energy and environmental impacts generated during the life cycle of PV technologies, from 1st generation (traditional silicon based) up to the third generation (innovative non-silicon based). Most of the results regarded energy indices like energy payback time, cumulative energy demand, and primary energy demand, while environmental indices were variable based on different scopes and impact assessment methods. Moreover, the review work allowed to highlight and compare key parameters (PV type and system, geographical location, efficiency), methodological insights (functional unit, system boundaries, etc.), and energy/environmental hotspots of 39 LCA studies relating to different PV systems, in order to underline the importance of these aspects, and to provide information and a basis of comparison for future analyses.

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Section: Second Generation Solar Cells Reviewmentioning

confidence: 99%

Section: Functional Unitmentioning

confidence: 99%

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confidence: 99%

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Review on Life Cycle Assessment of Solar Photovoltaic Panels

et al. 2020

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“…Most published LCA results provide multiple comparisons between PV cells depending on one factor at a time, which is prone to producing contradicting results. Figure 1 shows results of different LCA studies where a-Si PV cell has higher GHG and EPBT while simultaneously it has a relatively low manufacturing energy [22][23][24]. Also, LCA results show that CdTe has less GHG and EPBT if compared to CIS, but CdTe has a lower efficiency and requires more energy in manufacturing when compared to CIS.…”

Section: Introductionmentioning

confidence: 99%

“…Such LCA studies allow a comparison of different products in terms of environmental friendliness based on one of these factors at a time. In addition to the previously listed factors, the literature includes other factors that could affect the environment such as [23]:…”

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confidence: 99%

A Fuzzy Based Model for Standardized Sustainability Assessment of Photovoltaic Cells

2018

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In this paper, a new environmental sustainability indicator (ESI) is proposed to evaluate photovoltaic (PV) cells utilizing Life Cycle Analysis (LCA) principles. The proposed indicator is based on a model that employs a fuzzy logic algorithm to combine multiple factors, usually used in multiple LCAs, and produce results allowing a comprehensive interpretation of LCA phase sub-results leading to standardized comparisons of various PV cells. Such comparisons would be essential for policymakers and PV cell manufacturers and users, as they allow for fair assessment of the environmental sustainability of a particular type of PV with multiple factors. The output of the proposed model was tested and verified against published information on LCAs related to PV cells. A distinct feature of this fuzzy logic model is its expandability, allowing more factors to be included in the future, as desired by the users, or dictated by a new discovery. It also provides a platform that can be used to evaluate other families of products. Moreover, standardizing the comparison process helps in improving the sustainability of PV cells through targeting individual relevant factors for changes while tracking the combined final impact of these changes on the overall environmental sustainability of the PV cell.

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Effect of Li Doping on Cu₂SnS₃/n‐Si Heterojunction Solar Cells: Experiments and Simulation

Houimi

Gezgi̇n

Mercimek

et al. 2022

Cryst. Res. Technol.

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Cu 2 SnS 3 (CTS) semiconductor material owns very interesting absorbing properties that allow it to be effectively utilized in many thin-film-based heterojunction solar cells. In this work, using the ball milling method, a mixture of pure elemental powders is used to synthesize CTS material. Homemade undoped and Li-doped target pellets are used to form CTS-doped and CTS-undoped thin films. The crystallinity investigation of synthesized targets and thin films confirms the formation of CTS tetragonal phase. Compositional, morphologic, and optic studies are also made to examine the effect of Li atom incorporation on different properties of CTS thin films. These CTS thin films are also incorporated into heterojunction solar cells (Al/n-Si/CTS/Ag and Al/n-Si/Li 0.03 CTS/Ag). In addition, J-V characteristics of both CTS and Li 0.03 CTS solar cells are demonstrated and discussed in details. The effect of CTS thin films' thickness on the performance is studied using Solar Cell Capacitance Simulator (SCAPS-1D) program. The results of the calculation are discussed in details and compared with the experimental results. An increase in efficiency is achieved in solar cells based on Li-doped CTS thin films, and it is discussed in detail along with SCAPS-1D simulation that is carried out depending on the thickness of CTS thin films.

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A comparative life cycle assessment of chalcogenide/Si tandem solar modules

Cited by 32 publications

References 57 publications

Review on Life Cycle Assessment of Solar Photovoltaic Panels

Review on Life Cycle Assessment of Solar Photovoltaic Panels

A Fuzzy Based Model for Standardized Sustainability Assessment of Photovoltaic Cells

Effect of Li Doping on Cu₂SnS₃/n‐Si Heterojunction Solar Cells: Experiments and Simulation

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A comparative life cycle assessment of chalcogenide/Si tandem solar modules

Cited by 32 publications

References 57 publications

Review on Life Cycle Assessment of Solar Photovoltaic Panels

Review on Life Cycle Assessment of Solar Photovoltaic Panels

A Fuzzy Based Model for Standardized Sustainability Assessment of Photovoltaic Cells

Effect of Li Doping on Cu2SnS3/n‐Si Heterojunction Solar Cells: Experiments and Simulation

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Effect of Li Doping on Cu₂SnS₃/n‐Si Heterojunction Solar Cells: Experiments and Simulation