2015 IEEE Conference on Technologies for Sustainability (SusTech)最新文献_第2页

E-waste dismantling: Profitable at the cost of occupational hazard? 电子垃圾拆解:以职业危害为代价盈利?

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314341

S. Harivardhini, A. Chakrabarti

{"title":"E-waste dismantling: Profitable at the cost of occupational hazard?","authors":"S. Harivardhini, A. Chakrabarti","doi":"10.1109/SUSTECH.2015.7314341","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314341","url":null,"abstract":"The Objectives of this study are to (i) determine the profit obtained and the occupational hazard faced by dismantlers per day in the two major e-waste recycling sectors (formal and informal) in developing countries like India, China, and Africa, (ii) compare the profits obtained in these two sectors by taking the dismantling processes of two computer electronics systems: CRT monitor and CPU as a case study, in order to identify which sector obtains greater profit, (iii) identify the ratios of profit/occupational hazard (`P' index) and dismantler salary/occupational hazard (`S' index), in order to identify which sector carries out more efficient dismantling, (i.e., employ dismantling techniques that provide a better tradeoff between the profit obtained and the occupational hazard faced) and (iv) understand how the retrieval process of more number of parts within an organised dismantling process which uses appropriate dismantling techniques influences both the profit obtained and the occupational hazard faced in the formal sector compared to those in the informal sector where fewer parts are retrieved using crude dismantling techniques.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130859377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A check and alert service based on IoT 基于物联网的检查和警报服务

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314332

Jaejin Jang, Jin-Seong Kim, I. Jung

引用次数: 0

Time scale analysis and synthesis for electrical transmission lines in a smart grid 智能电网输电线路的时间尺度分析与综合

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314330

Shaleena Jaison, J. Gentle, D. Naidu

引用次数: 3

Analysis of various energy storage systems for variable speed wind turbines 变速风力发电机的各种储能系统分析

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314314

Youngil Kim, R. Harrington

{"title":"Analysis of various energy storage systems for variable speed wind turbines","authors":"Youngil Kim, R. Harrington","doi":"10.1109/SUSTECH.2015.7314314","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314314","url":null,"abstract":"Wind Energy is an intermittent and unpredictable resource. During the high penetration of wind power into the power grid, wind turbines can affect power quality substantially. Voltage fluctuations or flicker, Harmonics and Inter-harmonics, and Voltage drops are all present in this environment. Subsequent affects on active and reactive power, can lead to degrading of grid protection and increased reconnection time. Energy storage systems (ESS) with variable speed wind turbines (VSWT) such as a Doubly Fed Induction Generator (DFIG) or a Permanent Magnetic Synchronous Generator (PMSG) could be a solution to improving the power quality resulting from the “variability” of wind output power. This paper describes the performance analysis of different Hybrid ESS's (Battery ESS, Super Capacitor ESS and Electrical Dual Layer Capacitor ESS) connected to two different models of 2MW, 60Hz VSWT's to improve the power quality measured in terms of Total Harmonic Distortion (THD). From simulation results, a Proposed Hybrid System is shown to be a solution in overcoming the problems of high THD and hence the improvement of power quality. Simulation studies have been carried out on a Power System Computer Aided Design /Electromagnetic Transients Direct Current (PSCAD/EMTDC) to compare and verify the system performance under different scenarios.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Moore's law for mobile power 移动电源的摩尔定律

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314336

Thomas Coughlin

引用次数: 0

Experimental exergy analysis of the solar thermal system in the Off-Grid Zero Emissions Building 离网零排放建筑太阳能热系统实验用能分析

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314319

Sam Yang, M. Chagas, Tomas Solano, J. Ordonez, Taylor Davis, J. Vargas, Camilo Ordonez

{"title":"Experimental exergy analysis of the solar thermal system in the Off-Grid Zero Emissions Building","authors":"Sam Yang, M. Chagas, Tomas Solano, J. Ordonez, Taylor Davis, J. Vargas, Camilo Ordonez","doi":"10.1109/SUSTECH.2015.7314319","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314319","url":null,"abstract":"This paper presents an experimental exergy analysis of the solar thermal system in the Off-Grid Zero Emissions Building (OGZEB) at the Florida State University in efforts to identify components with major irreversibilities, i.e., exergy destruction. The solar thermal system comprises a series of flat-plate solar thermal collectors and 250-gal sensible thermal energy storage tank, and it is an essential constituent of the OGZEB heating system. In this study, exergy flow and destruction rates throughout the solar thermal system were evaluated using the experimental data obtained on two different days. According to the analysis, the greatest exergy destruction rate was observed in the solar thermal collector as expected, and its average exergetic efficiencies were 7.9% and 6.5% on each respective day. In the thermal energy storage tank, most of the exergy destruction was attributed to the mixing of hot water from the collector with the reservoir. This work serves as an initial step to the integrative thermodynamic optimization of the HVAC system in an off-grid residential building, where most energy is consumed for air-conditioning and heating.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130145384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Geothermal power plant system performance prediction using artificial neural networks 基于人工神经网络的地热发电厂系统性能预测

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314349

Dimas Ruliandi

{"title":"Geothermal power plant system performance prediction using artificial neural networks","authors":"Dimas Ruliandi","doi":"10.1109/SUSTECH.2015.7314349","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314349","url":null,"abstract":"This paper describes an application of a feedforward backpropagation artificial neural network (ANN), to predict Geothermal Power Plant (GPP) Unit 4 Kamojang performance under a broad range of operating conditions. The ANN model was used for predicting specific steam consumption (SSC) of the plant, using 10 input parameters such as steam input parameters, turbine-generator parameters, condenser parameters, cooling tower parameters, and ambient parameters. The ANN model was trained with 2 different data combination. The first model was trained using commissioning data and after plant major overhaul data (ANN model 1) and the other model was trained only with after plant major overhaul data (ANN model 2). The predictive capability of the model was evaluated in terms of correlation coefficient (R), mean squared error (MSE), and mean absolute percentage error (MAPE) between the ANN model data prediction and plant real time data. The ANN model was tested using normal operation data taken during Feb-April 2015. During the testing stage, even though both ANN models performance yield moderate results, ANN model 2 shows a similar correlation (same positive or negative gradient) with the plant real time data. The difference between ANN model 2 SSC prediction and plant actual real time shows a significant difference. The experiment shows that there is 24 T/h of steam flow or equals to 3.4 to 4 MW (using SSC range 6-7 T/MWh) difference between venturi steam flow reading and ANN prediction. Combined with good and sufficient training data, and an independent measurement of steam flow for validation, the neural network approach can be utilized to develop a good performance program that able to identify the degradation of the plant or instruments (in this case is the steam flow instrument, venturi tube). If the data from the instrument reading show noticeable shift from ANN predicted value, then it can be a good sign to perform thorough analysis on the plant to prevent losses, especially in steam sales contract scheme.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114977656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Earth abundant and nontoxic absorber material for low cost, thin film solar cells 地球上丰富的无毒吸收材料，用于低成本的薄膜太阳能电池

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314321

D. Hodges, Cheik Sana, Shaimum Shahriar, J. Galindo, Donato Kava, E. Castro, R. Cotta, David Buck, L. Echegoyen

引用次数: 3

A data-value-driven adaptation framework for energy efficiency for data intensive applications in clouds 一个数据价值驱动的适应框架，用于云中的数据密集型应用的能源效率

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314320

Thi Thao Nguyen Ho, B. Pernici

引用次数: 18

An approach to engage EVs for frequency regulation: Aggregator perspective 一种让电动汽车参与频率调节的方法:聚合器视角

2015 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2015-11-02 DOI: 10.1109/SUSTECH.2015.7314351

M. N. Mojdehi, P. Ghosh

{"title":"An approach to engage EVs for frequency regulation: Aggregator perspective","authors":"M. N. Mojdehi, P. Ghosh","doi":"10.1109/SUSTECH.2015.7314351","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314351","url":null,"abstract":"As the penetration of renewable energy sources increases, availability of fast ramping resources for frequency regulations is vital. This need has been recognized by Federal Energy Regulatory Commission (FERC). Growing number of electric vehicles (EVs) capable of fast charging with short battery reaction time are promising sources for ancillary services (AS). The highest revenue earning from AS by EVs is expected to be from the frequency regulation. Thus unidirectional V2G is a logical first step in V2G implementation for frequency regulation. In this paper we present first a methodology to estimate the operating cost, for an aggregator controlling several EVs, for AS. and then linear programming is then used to find condition to minimize the operating cost. Next, a novel framework is presented to calculate optimal bidding components of aggregator, regulation capacity and energy cost function to participate in regulation market. Simulations were done for a large number of EVs of different types and their usage patterns. Results clearly show the opportunities to generate revenues when aggregator participate in the regulation up/down services, while keeping an eye on the EV owner's level of comfort.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130336337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3