1. Introduction
Photovoltaic systems represent a cost-effective means of generating renewable energy without emitting greenhouse gases. As of 2021, the capacity of global solar photovoltaic (PV) installations amounted to 942 GW, a dramatic contrast to the approximately 100 GW installed in 2012 [
1,
2], indicating a significant surge in the global deployment of PV systems. Chile, renowned for its high level of irradiation, stands out as one of the countries with immense potential for PV installation. Solar PV accounted for 18% of the country’s electricity production by 2022 [
3].
Figure 1 illustrates a nearly six-fold increase in the number of PV plants in Chile, with an installation capacity greater than 3 MW, which rose from 7 to 41 between 2014 and 2022. Furthermore, the total installed capacity of PV power plants in the country reached 6142 MW by 2022 [
4,
5,
6].
Solar PV power plants are positioned across diverse regions of Chile, encompassing Antofagosta, Atacama, Coquimbo, Santiago, Trapaca, and Valparaiso. As illustrated in
Figure 2, the deployment of solar PV plants is notably concentrated in two principal regions, namely, Anofagosta and Atacama, whose installations jointly constitute 74% of the total installations. Subsequently, the Trapaca region contributed 7% of the overall installations. It should be noted that the power plants which are represented in
Figure 2 have a minimum capacity of 3 MW.
Solar PV power plants consist of several integral components, including PV modules, support structures, inverters, transformers, and cables [
7]. The types of photovoltaic modules vary, encompassing diverse technologies such as crystalline silicon (c-Si) and thin-film PV modules. Within crystalline PV modules, two predominant types exist: mono c-Si and poly c-Si PV. Additionally, thin-film PV modules exhibit variation in certain factors, including amorphous silicon (a-Si), Cadmium Telluride (CdTe), and Copper Indium Gallium Selenide (CIGS). Mono c-si PV modules are produced by sizing silicon ingots into wafers [
8]. On a global scale, crystalline silicon PV modules command a significant market share, constituting 95% as of 2021 [
9]. However, the utilization of PV module types fluctuates depending on factors such as regional PV module production, transportation considerations, and accumulated experience. Polycrystalline silicon PV modules are produced using silicon with different crystal structures, whereas thin-film modules are fabricated by depositing semiconductor materials onto backing substrates [
8,
10]. Among these technologies, mono c-Si modules exhibit the highest cell efficiency, followed by poly c-Si and thin-film modules [
8,
10]. In terms of cost, poly c-Si modules are the most economical, followed by mono c-Si and thin-film technologies [
8,
10]. Despite their lower efficiency, thin-film modules are widely utilized due to their flexibility, which allows their integration into a variety of structural applications [
10].
Table 1 illustrates the cumulative installation of solar PV plants with a capacity greater than 3 MW categorized by module type in Chile.
Despite the numerous advantages of renewable energy systems, there remains a notable gap in the assessment of and management projections for their waste, particularly PV system wastes. However, several studies in the literature have endeavored to estimate waste values for PV power plants. Chowdhury et al. [
11] project a global accumulation of approximately 78 million tons of PV waste by 2050. Similarly, Kastanaki and Giannis [
12] forecast that between 14.3 and 18.5 million tons of PV waste will have accumulated in 27 EU countries by 2050. Furthermore, several studies examined the waste amounts of PV systems on a country-specific basis. For instance, Paiano [
13] assessed PV waste in Italy, estimating that more than 6 million tons of glass and 617 thousand tons of aluminum could be recovered by 2050. Likewise, Kim and Park [
14] suggested that over 1 million tons of metals from PV systems could be recycled in Korea by 2080. Additionally, there are studies focusing on various regions worldwide, including Australia, Mexico, Spain, the USA, and China [
7,
15,
16,
17,
18,
19].
Table 2 provides a summary of the studies in the literature along with their respective methodologies and key findings.
The literature documents numerous efforts to recycle waste materials across diverse sectors, including construction, electronics, and renewable energy technologies, such as wind turbines, largely motivated by environmental and economic benefits [
20,
21,
22,
23]. Similarly, the recycling of PV module waste can generate environmental and economic benefits for societies on multiple fronts. Firstly, recycling PV modules can substantially reduce both CO
2 emissions and mineral extraction requirements [
24,
25]. Faircloth et al. [
26] demonstrated that, compared to landfilling, recycling one ton of PV modules can prevent up to 23 tons of CO
2 emissions. Moreover, Mazzi et al. [
27] reported that recycling processes can recover approximately 90% of the raw materials used in crystalline silicon PV modules, corresponding to nearly 95% of their economic value. Furthermore, PV waste recycling contributes to a reduction in other environmental impacts in various ways. PV modules contain toxic elements such as cadmium, tellurium, and amorphous silicon, which pose health risks to both humans and animals [
28]. Therefore, preventing the disposal of these materials into the environment is of vital importance. Furthermore, the disposal of PV module waste can lead to substantial land occupation in landfills due to their significant volume. Chowdhury et al. [
11] estimate that over 78 million PV modules will reach their end-of-life by 2050, indicating a substantial land use impact. Additionally, the utilization of rare elements like indium, gallium, and ruthenium in PV modules raises concerns about potential depletion in the near future [
29]. Given the projected growth of PV module waste, recycling emerges as a critical necessity, offering substantial environmental benefits for the future. Secondly, recycling PV modules holds monetary value, as they include precious metals, glass, and aluminum. Markert et al. [
30] estimated the economic worth of recycled materials from crystalline silicon PV modules to be USD 13.6/m
2, while Weckend et al. [
31] projected that the economic value of PV waste will reach USD 15 billion by 2050. Thirdly, recent studies suggest that PV recycling creates new job opportunities within society [
32]. Lastly, PV recycling can yield indirect economic impacts by reducing the costs incurred by governments and municipalities for establishing new waste management areas [
33]. Considering these factors, the recycling of PV modules emerges as a matter of significant importance.
Several studies in the literature have focused on electronic waste (e-waste) estimation, management, and recycling in Chile. Forti et al. [
34] estimated that Chile generates 8.9 kg of e-waste per capita, making it the second-largest producer of e-waste in Latin America after Brazil. In Chile, e-waste management involves the separation of printed circuit boards (PCBs) from other materials, with the former processed domestically and the latter sent overseas for processing [
35]. Additionally, it is noted in the literature that Chile has the potential to recover valuable materials from e-waste due to its extensive experience in pyro metallurgical processes, stemming from its developed mining sector [
36,
37]. However, despite advancements in the e-waste management sector, there remains a lack of development in the PV module recycling sector in the country. In this regard, this paper presents the first PV waste assessment for Chile. The novelty of this study lies in its pioneering application of PV waste projection for Chile with a forecasting methodology, namely, Weibull distribution modeling. Moreover, this study undertakes economic analyses concerning the recoverable waste of photovoltaic (PV) modules, an area that has received limited attention in the existing literature.
2. Materials and Methods
In this study, a thorough analysis of PV waste assessment for Chile is undertaken, using a database developed by the author through the compilation of open public data considering power plants with a capacity of at least 3 MW [
5,
6]. The Chilean PV waste database was meticulously curated based on information extracted from journal articles, PV power plant operator websites, PV module manufacturer websites, and relevant factsheets. It is important to note that this study relies on existing data regarding PV installations and the corresponding estimates of PV waste. As future installation trends remain uncertain and represent a potential avenue for further research, the present analysis focuses exclusively on the current potential of PV waste, consistent with approaches adopted in the literature [
16]. Furthermore, future installations are expected to have an insignificant effect on PV waste accumulation within the time horizon considered, as only limited contributions are projected before 2052, in line with previous findings [
18].
The methodology employed in this study entails several key steps. Firstly, a PV waste assessment is conducted utilizing historical PV installation data alongside Weibull distribution modeling. Secondly, anticipated waste materials until 2052 are estimated based on the classification of PV module types. Lastly, the economic value of potentially recoverable materials is assessed. Traditionally, some studies in the literature have employed fixed lifetimes of 25 or 30 years for the assessment of waste from PV modules [
11,
13]. However, considering the possibility of failures, accidents, or external factors affecting PV modules before the end of their designated lifespans, this study adopts a more realistic approach. Here, waste assessment projection is performed using the Weibull distribution function, commonly utilized for predicting the remaining useful life or lifetime of a system [
14,
16].
In this study, the lifetime of a PV module is not assumed to be fixed. Instead, the failure time of PV modules, denoting the point at which a PV module becomes waste, is modeled using the Weibull distribution, as given in Equation (1).
where
t represents the current life of the PV module in years,
τ denotes the scale parameter which signifies the average lifetime of a PV module, and
β is the shape factor. The Weibull distribution incorporates the shape factor (
β), responsible for shaping the Weibull curve in two distinct scenarios in this research: early-loss and regular-loss scenarios. The average lifetime of a PV module (
τ) is taken as 30 years in this study [
16]. The early-loss scenario encompasses stages of infant, mid-life, and wear-out failures occurring prior to the anticipated lifetime of a PV module, typically regarded as 30 years in the existing literature [
16]. Conversely, the regular-loss scenario posited in this study assumes a lifespan devoid of initial and early failures, drawing upon the findings of a statistical lifetime prediction study outlined in the literature [
38]. In delineating the early-loss scenario, various analyses from scholarly sources are amalgamated with expert insights. Within this framework, certain assumptions are made, including that 0.5% of PV panels sustain damage prior to arrival at construction sites, while 0.5% of panels become obsolete within two years, 2% become obsolete after ten years, and 4% become obsolete after 15 years, to establish the shape factor for the Weibull distribution [
31]. This shape factor is derived through a regression analysis conducted between data points extracted from the literature and early failure indicators generated by the aforementioned assumptions. Consequently, the shape factor for the early-loss scenario is determined as 2.4928 [
31]. For the regular-loss scenario, a time-to-failure analysis is employed, entailing a correlation assessment between field data and accelerated test data. The outcome of this analysis yields a beta value of 5.3759 for the regular-loss scenario [
38]. It is important to acknowledge that the predetermined shape factors were estimated within specific studies, taking into account certain PV models. Consequently, this study is constrained by the assumption of shape factors derived from prior research. Nevertheless, the shape factors applied to regular-loss and early-loss scenarios are considered suitable for Chilean conditions, as previous studies focusing on countries such as Australia and Spain with comparable climatic and environmental characteristics employed the same parameters [
16,
17]. Moreover, these shape factors are among the most commonly utilized in the literature for PV waste projections.
Furthermore, the type of PV module plays a crucial role in accurately estimating the amounts of extracted materials. Hence, it is essential to estimate expected waste flow according to the module types over the years.
Figure 3 depicts the historical installations of solar PV plants in Chile categorized by PV module type. In this study, for each year, the ratio of PV waste is determined utilizing the Weibull distribution. Subsequently, the weight of the waste is calculated by multiplying the weight of each module type. Consequently, the waste flow is estimated for each year according to the module type.
Additionally, this paper calculates the flow of waste materials from each type of PV module based on the material compositions reported in the literature [
13,
39,
40]. The calculation involves multiplying the total waste amount per year by the proportion of each material in the specific PV module type.
Table 3 presents the average material composition of four PV module types commonly used in Chile.
Finally, the total amount of estimated recovered material from PV waste is determined by utilizing recovery rates. Recovery rates for various materials vary across different studies. For example, Duflou et al. [
41] reported a glass recovery rate of 98% through thermal and chemical treatment, while Strachala et al. [
39] found a glass recovery rate of 95% for c-Si PV modules using chemical, mechanical, and thermal methods. The existing literature presents considerable variability in reported glass recovery rates, reflecting differences in methodologies and study contexts. In this study, the average values reported in the reviewed literature are employed in order to ensure a conservative and reliable approach [
42]. Similar variations exist for other materials, such as aluminum, silicon, copper, lead, silver, zinc, cadmium, indium, tellurium, and germanium. Additionally, some studies suggest a recovery rate of 100% for materials such as aluminum, silicon, and copper [
11,
15]. However, achieving a 100% recovery rate for materials used in PV modules is challenging, and from a scientific standpoint, some argue that it may not be accurate. Therefore, this study adopts average recovery rates for materials from the literature [
11,
43,
44,
45].
Table 4 outlines the recovery rates for each material utilized in this study.
While PV module recycling has been explored in the literature, much of the research remains theoretical or limited to laboratory-scale studies. However, there have been significant developments in the industry regarding PV recycling. For instance, in 2018, the first recycling plant for solar PV modules commenced operations in France with a capacity of 4.000 tons per year [
46]. Subsequently, in the USA, one of the largest PV recycling plants globally was inaugurated a year later, boasting a capacity of 35.000 tons per year [
47]. Remarkably, this plant is equipped to recycle any type or make of PV panels [
47]. However, it is worth noting that, to the author’s knowledge, there is no dedicated PV module recycling plant in Chile. Nevertheless, it is noteworthy that the recycling sector in Chile primarily addresses municipal solid waste. Annually, the nation generates a total of 17 million tons of waste, with approximately 10% being subjected to recycling initiatives [
48]. Predominantly, the materials recycled encompass paper/cardboard, glass, plastic bottles, and aluminum cans. Conversely, items such as electronics, batteries, plastics, and metals pose accessibility challenges for Chileans, thereby hindering their effective integration into recycling practices.