Estimation of waste from computers and mobile phones in Iran |
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| Affiliation: | 1. Center for Solid Waste Research (CSWR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran;2. Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran;3. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran;1. Department of Technology Management, University of Bridgeport, 221 University Avenue, School of Engineering, 141 Technology Building, Bridgeport, CT 06604, USA;2. Departments of Mechanical Engineering and Technology Management, University of Bridgeport, 221 University Avenue, School of Engineering, 141 Technology Building, Bridgeport, CT 06604, USA;3. Department of Mechanical and Industrial Engineering, Northeastern University, 334 Snell Engineering Center, 360 Huntington Avenue, Boston, MA 02115, USA;1. Department of Mechanical Engineering, College of Science and Engineering, Ritsumeikan University, Shiga, Japan;2. Graduate School of Energy Science, Kyoto University, Kyoto, Japan;3. Department of Precision Engineering, Graduate School of Engineering, University of Tokyo, Tokyo, Japan;1. Department of Industrial and Information Engineering & Economics, University of L’Aquila, Via G. Gronchi, 18, Zona Industriale Pile, 67100 L’Aquila, Italy;2. Logistics and Supply Chain Management (LSCM) Research Centre, Centre for Energy, Environment and Sustainability (CEES), Advanced Resource Efficiency Centre (AREC), The University of Sheffield, Conduit Road, Sheffield S10 1FL, UK;3. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy |
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| Abstract: | The amount of waste electrical and electronic equipment (WEEE) has been rapidly growing in recent years. Estimation close to reality of the future amounts of WEEE as a function of time is critical to effective their management. Wastes from mobile phones and computers are one of the several subgroups of WEEE. The objective of this study was to estimate past and future trends in the generation of obsolete computers and mobile phones in Iran. For this purpose a combination of two models were used. At the beginning, time-series multiple lifespan model was used to estimate outflows end-of-life obsolete equipment. Then, using the simplified logistic function model by Excel software, the values of obsolete computers and mobile phones in the future were estimated. The study found that the amount of E-waste generation in the country was 20 million wasted computers until 2016 and 39 million wasted mobile phones until 2014. Results of the time series model analysis showed a total amount of 2.8 million waste computers would be reused by 2016 and 4.2 million mobile phones would be reused by 2014. The results of the logistic equation indicate that by the year 2040 there will be 50 million units of obsolete computers. According to the same model 90 million mobile phones will be obsolete by 2035. Increase in the number of computers and mobile phones was fitted into the logistic model and the results showed that the saturation level of generation of obsolete computers and mobile phones are 24 and 21 years respectively following the base year 2016 and 2014. |
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| Keywords: | Obsolete computers Obsolete mobile phones Time-series model Logistic equation |
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