Recovery of Silver from End-of-Life Silicon Solar Panels via an Oxidative-Coordination Synergistic Approach.

Global warming contributions from wheat, sheep meat and wool production in Victoria, Australia – a life cycle assessment

Current status and challenges in silver recovery from End-of-Life crystalline silicon solar photovoltaic panels

In carrying out experimental research in performance between silicon solar panel and dye-sensitive solar panel, we have been developing a device and a system. This system has been developed consisting of controllers, hardware and software. This system is capable to get most of the input sources. If only need to change the main circuit and coding for a different source input value. This device is able to get the ambient temperature, surface temperature, surrounding humidity, voltage with load, current with load, voltage without load and current without load and save the data into external memory. This device is able to withstand the heat and rain as it was fabricated in a waterproof box. This experiment was conducted to examine the performance of both the solar panels which are capable to maintain their stability and performance. A conclusion based on data populated, the distribution of data for dye-sensitized solar panel is much better than silicon solar panel as dye-sensitized solar panel is very sensitive to heat and not depend only on midday where is that is the maximum ambient temperature for both solar panel as silicon solar panel only can give maximum and high output only when midday.

The body of life cycle assessment (LCA) literature is vast and has grown over the last decade at a dauntingly rapid rate. Many LCAs have been published on the same or very similar technologies or products, in some cases leading to hundreds of publications. One result is the impression among decision makers that LCAs are inconclusive, owing to perceived and real variability in published estimates of life cycle impacts. Despite the extensive available literature and policy need formore conclusive assessments, only modest attempts have been made to synthesize previous research. A significant challenge to doing so are differences in characteristics of the considered technologies and inconsistencies in methodological choices (e.g., system boundaries, coproduct allocation, and impact assessment methods) among the studies that hamper easy comparisons and related decision support. An emerging trend is meta-analysis of a set of results from LCAs, which has the potential to clarify the impacts of a particular technology, process, product, or material and produce more robust and policy-relevant results. Meta-analysis in this context is defined here as an analysis of a set of published LCA results to estimate a single or multiple impacts for a single technology or a technology category, either in a statisticalmore » sense (e.g., following the practice in the biomedical sciences) or by quantitative adjustment of the underlying studies to make them more methodologically consistent. One example of the latter approach was published in Science by Farrell and colleagues (2006) clarifying the net energy and greenhouse gas (GHG) emissions of ethanol, in which adjustments included the addition of coproduct credit, the addition and subtraction of processes within the system boundary, and a reconciliation of differences in the definition of net energy metrics. Such adjustments therefore provide an even playing field on which all studies can be considered and at the same time specify the conditions of the playing field itself. Understanding the conditions under which a meta-analysis was conducted is important for proper interpretation of both the magnitude and variability in results. This special supplemental issue of the Journal of Industrial Ecology includes 12 high-quality metaanalyses and critical reviews of LCAs that advance understanding of the life cycle environmental impacts of different technologies, processes, products, and materials. Also published are three contributions on methodology and related discussions of the role of meta-analysis in LCA. The goal of this special supplemental issue is to contribute to the state of the science in LCA beyond the core practice of producing independent studies on specific products or technologies by highlighting the ability of meta-analysis of LCAs to advance understanding in areas of extensive existing literature. The inspiration for the issue came from a series of meta-analyses of life cycle GHG emissions from electricity generation technologies based on research from the LCA Harmonization Project of the National Renewable Energy Laboratory (NREL), a laboratory of the U.S. Department of Energy, which also provided financial support for this special supplemental issue. (See the editorial from this special supplemental issue [Lifset 2012], which introduces this supplemental issue and discusses the origins, funding, peer review, and other aspects.) The first article on reporting considerations for meta-analyses/critical reviews for LCA is from Heath and Mann (2012), who describe the methods used and experience gained in NREL's LCA Harmonization Project, which produced six of the studies in this special supplemental issue. Their harmonization approach adapts key features of systematic review to identify and screen published LCAs followed by a meta-analytical procedure to adjust published estimates to ones based on a consistent set of methods and assumptions to allow interstudy comparisons and conclusions to be made. In a second study on methods, Zumsteg and colleagues (2012) propose a checklist for a standardized technique to assist in conducting and reporting systematic reviews of LCAs, including meta-analysis, that is based on a framework used in evidence-based medicine. Widespread use of such a checklist would facilitate planning successful reviews, improve the ability to identify systematic reviews in literature searches, ease the ability to update content in future reviews, and allow more transparency of methods to ease peer review and more appropriately generalize findings. Finally, Zamagni and colleagues (2012) propose an approach, inspired by a meta-analysis, for categorizing main methodological topics, reconciling diverging methodological developments, and identifying future research directions in LCA. Their procedure involves the carrying out of a literature review on articles selected according to predefined criteria.« less

Estimation of the environmental impact of a petrochemical process using coupled LCA and exergy analysis

The recycling of silicon solar panels is vital to ensure critical material recovery and to sustain the manufacturing of new panels in line with the United Nations Sustainable Development Goals. While various recycling methods based on thermal, chemical, or mechanical separation of the solar panel layers have been studied, a comprehensive thermodynamic and environmental analysis is required to allow holistic comparison within the circular economy framework. Here, such an analysis is performed for four different silicon solar panel recycling processes. First, the processes were simulated in HSC chemistry TM to analyse the flows of exergy. Subsequently, a Life Cycle Assessment (LCA) was conducted to understand the environmental benefits and drawbacks of each method. Combined Exergy-LCA analysis showed that a slightly less exergy-efficient process, namely pyrolysis can ultimately has the lowest environmental impact out of the four processes. In contrast chemical treatment of the encapsulant exhibited comparably worse performance due to its increased resource consumption. On the material level, high-value material recovery, if realized, could be thermodynamically and environmentally advantageous. The recovery methods presented here could be further improved if heat integration or the use of natural solvents would be considered. These unique findings demonstrate that weighing exergy - Life Cycle Analysis trade-offs across different recycling approaches could navigate future developments towards more sustainable solar panel recycling. Therefore, such an approach is recommended over solely focusing on material recovery. • Thermodynamical and environmental analysis of silicon solar panel recycling. • Four different separation methods of silicon solar panel materials simulated. • Critical material and intact panel-parts recovery evidenced as beneficial. • Sustainability highly dependent on the method of recycling.

Feeding a growing, increasingly affluent population while limiting environmental pressures of food production is a central challenge for society. Understanding the location and magnitude of food production is key to addressing this challenge because pressures vary substantially across food production types. Applying data and models from life cycle assessment with the methodologies for mapping cumulative environmental impacts of human activities (hereafter cumulative impact mapping) provides a powerful approach to spatially map the cumulative environmental pressure of food production in a way that is consistent and comprehensive across food types. However, these methodologies have yet to be combined. By synthesizing life cycle assessment and cumulative impact mapping methodologies, we provide guidance for comprehensively and cumulatively mapping the environmental pressures (e.g., greenhouse gas emissions, spatial occupancy, and freshwater use) associated with food production systems. This spatial approach enables quantification of current and potential future environmental pressures, which is needed for decision makers to create more sustainable food policies and practices.

Life cycle assessment of high-performance monocrystalline titanium dioxide nanorod-based perovskite solar cells

Environmental impacts of recycling crystalline silicon (c-SI) and cadmium telluride (CDTE) solar panels

Life cycle assessment of photovoltaic panels including transportation and two end-of-life scenarios: Shaping a sustainable future for renewable energy

ObjectiveThis study aims to calculate the global warming potential, in carbon dioxide (CO2) equivalent emissions, from all in-scope activities involved in phase 1, 2, 3 and 4 clinical trials spanning...

The growth of solar photovoltaic (PV) waste in the coming years requires implementation of effective management options. Australia, with one of the highest rates of rooftop solar PV, is still developing policy options to manage these panels when they reach their end-of-life. This study evaluates the environmental impacts of three options for mono and multi crystalline silicon (c-Si) solar panel waste modules. The impact of transport distance from transfer stations to the recycling centre is also assessed. The life cycle assessment revealed that, -1 E+06 kgCO2eq and -2 E+06 kgCO2eq are associated with the mandatory product stewardship scenarios under global warming potential for mono and multi c-Si solar modules, respectively. However, the non-existence of a product stewardship will produce a global warming impact of 1 E+05 kgCO2eq for both modules. The global warming effects revealed that, collecting and recycling most of the multi c-Si panels were not effective (−365.00 kg CO2-eq, −698.40 kg CO2-eq, −1032.00 kg CO2-eq) compared to keeping them away from the landfills and fully recycling (-2 E+06 kg CO2-eq) them. It was also highlighted that, the highest environmental impact regarding the transport distances was the scenario of one recycling centre serving over 107 transfer stations with a global warming potential of 1 E+06 kgCO2eq. This research model serves as the first conceptual and methodological framework for life cycle assessment (LCA) in policy and transport related analysis. Since transport is incredibly significant in PV recycling processes, it is recommended that, to further reduce these impacts, other forms of low-impact modes of transportation should be explored.

The aviation industry is responsible for over 2% of global CO2 emissions. Synthetic jet fuels generated from biogenic feedstocks could help reduce life cycle greenhouse gas (GHG) emissions compared to petroleum-based fuels. This study assesses three processes for producing synthetic jet fuel via the synthesis of methanol using water and atmospheric CO2 or biomass. A life cycle assessment and cost analysis are conducted to determine GHG emissions, energy demand, land occupation, water depletion, and the cost of producing synthetic jet fuel in Switzerland. The results reveal that the pathway that directly hydrogenates CO2 to methanol exhibits the largest reductions in terms of GHG emission (almost 50%) compared to conventional jet fuel and the lowest production cost (7.86 EUR kgJF-1); however, its production cost is currently around 7 times higher than the petroleum-based counterpart. Electrical energy was found to be crucial in capturing CO2 and converting water into hydrogen, with the sourcing and processing of the feedstocks contributing to 79% of the electric energy demand. Furthermore, significant variations in synthetic jet fuel cost and GHG emissions were shown when the electricity source varies, such as utilizing grid electricity pertaining to different countries with distinct electricity mixes. Thus, upscaling synthetic jet fuels requires energy-efficient supply chains, sufficient feedstock, large amounts of additional (very) low-carbon energy capacity, suitable climate policy, and comprehensive environmental analyses.

With the increase in demand of energy, more and more silicon-based solar panels are used to convert solar energy to electricity. In solar panel manufacturing, to increase the efficiency of solar cells, electrical contacts of the front side need to be connected to the back side of the panel. Therefore, holes of different sizes need to be drilled in silicon solar panels of certain designs. Because silicon has high brittleness and hardness, drilling of silicon solar panels using traditional drilling methods might lead to solar panel cracking and low tool life. Rotary Ultrasonic Machining (RUM) is one of the nontraditional drilling processes. It has been used to drill holes in many brittle materials. However, there is no report in the literature on RUM of silicon. This paper presents a study on edge chipping in RUM of silicon. Two-level three-factor full factorial design was employed to experimentally determine effects of input variables on edge chipping and cutting force. The experimentally determined relation between edge chipping and cutting force was compared with that obtained by Finite Element Analysis (FEA). Higher tool rotation speed, higher ultrasonic power and lower feedrate led to smaller edge chipping and lower cutting force. An important influencing parameter on edge chipping is cutting force. Large edge chipping is almost always accompanied by higher cutting force.

The present study focuses on the application of large-format thermal ceramic conditioning panels (TCPs) containing polypropylene (PPR) capillary tube mats in dwellings on the Mediterranean coast. The thermal and energy behaviours were examined once the underfloor heating was installed, and they were compared with an alternative wall application. The system was implemented in a single-family house located on the Spanish Mediterranean coast. After having monitored the house during a complete one-year cycle, the annual energy demand was quantified using the Design Builder tool. TCP panels applied to radiant floors reduced energy demand by 5.15% compared to the wall-layout alternative. Significant reductions in CO2 emissions were also achieved, as well as a 25.19% reduction in energy demand compared to convection systems. The incorporation of 24 m2 of solar thermal panels into the system, combined with solar cooling systems based on lithium chloride, was also analysed. A reduction in energy demand of 57.46% was obtained compared to all-air convection systems. Finally, the amortisation periods of the investments in TCP panels and solar panels were calculated and compared to a convection system. Underfloor TCP panels proved to be more cost-effective than a wall installation. The additional cost of EUR 21,844 could be amortised over approximately 14 years with the radiant underfloor TCP system, while the wall TCP would be amortised over 17.4 years.