The massive expansion of the photovoltaic (PV) industry, driven by the decarbonization of the energy mix, has led to an exponential increase in PV waste. In order to ensure the stable development of the PV industry, it is crucial to make accurate macro forecasts of future PV waste in China. In this study, a multifactor installed capacity forecasting model based on long- and short-term bi-directional memory GRA is proposed to predict the cumulative installed PV capacity in China from 2024 to 2050. The Weibull distribution and dynamic scenario analysis are utilized to quantify the recycling of panel materials for different technologies and to assess the potential economic value of recycling. The results show that China's cumulative installed PV capacity will reach 2,901 GW by 2050. 99.75 million tons, 40.96 million tons, and 5.29 million tons of C-si, CdTe, and CIGS panels could be cumulatively recycled in the baseline scenario of Regular loss. Distributed PV will generate more end-of-life equipment than centralized PV, up to an estimated 11.8-0.5 % more. In all scenarios, the capacity of recycled equipment averages up to 64.7 % of new capacity, with a significant complementary effect of recycling. Recycling is projected to generate $13.99 billion, with significant economic benefits. Helps decision makers to take measures based on recycled materials from different technologies.
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http://dx.doi.org/10.1016/j.wasman.2024.11.022 | DOI Listing |
Materials (Basel)
January 2025
Faculty of Mechanical Engineering, University of West Bohemia, Univerzitni 2732/8, 301 00 Pilsen, Czech Republic.
This study explores the tensile performance of blind rivet joints in galvanized steel sheets, focusing on their behavior under shear and normal load conditions. Blind rivets are frequently used in structural applications due to their ease of installation and ability to be applied from one side, making them highly effective in industries like aerospace and automotive. Two types of DIN 7337-4.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, P.O. Box 9086, Addis Ababa, Ethiopia.
Background: Africa's involvement in clinical trials remains very low. Although the crucial role of training initiatives in building clinical trial capacity in Africa has been documented, current efforts fall short as they lack alignment with local contexts. This study aimed to design, develop, implement, and evaluate an innovative clinical trial operations training program for Africa.
View Article and Find Full Text PDFSci Rep
January 2025
European Union Disaster Risk Management Consultant, Ambo, Ethiopia.
In recent decades, the global climate has changed mainly due to human-induced causes and realizing their manifestations in the forms of extreme events such as droughts, floods, heat stress, and variability in rainfall. Arid and semi-arid ecosystems are sensitive to changes in climate variability, including the Borana zone. This study was therefore initiated to assess how vulnerable pastoral and agro-pastoral livelihoods are to climate change, as well as to estimate the effects, and pinpoint potential response measures that could be implemented in the study area.
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January 2025
Department of Electrical Engineering, Arak University of Technology, Arāk, Iran.
This paper introduces an optimal sizing approach for battery energy storage systems (BESS) that integrates frequency regulation via an advanced frequency droop model (AFDM). In addition, based on the AFDM, a new formulation for charging/discharging of the battery with the purpose of system frequency control is presented. The studied MG system that consists of PV units, a diesel generator (DG), a combined heat and power (CHP) unit, a gas boiler, and a BESS is designed to meet the consumers' thermal and electrical load requirements as well as system frequency regulation.
View Article and Find Full Text PDFJ Environ Manage
January 2025
College of Management Science, Chengdu University of Technology, Chengdu, 61000, China.
Energy storage and demand response offer critical flexibility to support the integration of intermittent renewable energy and ensure the stable operation of the power system. Using the ERA5 dataset and hourly power load data, this study develops an hourly-based dynamic optimization model to assess the roles of energy storage and demand response in Chinese (2050) power structure under high renewable energy penetration. The results revea; that: (1) Energy storage and demand response significantly contribute to reducing power transition cost, carbon emission, and power curtailment.
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