http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Manas Mandal,Krishna Chattopadhyay,Malay Chakraborty,Wonjae Shin,Kamal Kanti Bera,Sujit Chatterjee,Akbar Hossain,Dipanwita Majumdar,Arup Gayen,Changwoon Nah,Swapan Kumar Bhattacharya 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.6
A negative electrode is constructed based on MnSn(OH)6 nanocubes prepared by a simple precipitation method at roomtemperature for supercapacitor application. The as-prepared material was structurally and morphologically characterizedwith the help of XRD, FT-IR, Raman, XPS, FESEM, and HRTEM analyses. The uniform structure and fine edge morphologywith high conductivity due to oxygen vacancies promote the redox reaction, which results in high pseudocapacitance. Theelectrochemical performance is investigated through a three-electrode cell system in a negative potential window (− 1.0 to0.0 V). A maximum specific capacitance of 209 F/g is calculated at a specific current of 1 A/g. The electrodes also exhibitexcellent cycling stability (79% specific capacitance retention after 3000 consecutive GCD cycles).
A comprehensive optimization model for integrated solid waste management system: A case study
Koushik Paul,Subhasish Chattopadhyay,Amit Dutta,Akhouri P. Krishna,Subhabrata Ray 대한환경공학회 2019 Environmental Engineering Research Vol.24 No.2
Solid waste management (SWM) is one of the poorly rendered services in developing countries – limited resources, increasing population, rapid urbanization and application of outdated systems leads to inefficiency. Lack of proper planning and inadequate data regarding solid waste generation and collection compound the SWM problem. Decision makers need to formulate solutions that consider multiple goals and strategies. Given the large number of available options for SWM and the inter-relationships among these options, identifying SWM strategies that satisfy economic or environmental objectives is a complex task. The paper develops a mathematical model for a municipal Integrated SWM system, taking into account waste generation rates, composition, transportation modes, processing techniques, revenues from waste processing, simulating waste management as closely as possible. The constraints include those linking waste flows and mass balance, processing plants capacity, landfill capacity, transport vehicle capacity and number of trips. The linear programming model integrating different functional elements was solved by LINGO optimization software and various possible waste management options were considered during analysis. The model thus serves as decision support tool to evaluate various waste management alternatives and obtain the least-cost combination of technologies for handling, treatment and disposal of solid waste.