Water Use by Thermoelectric Power Plants in the United States1

Abstract: Thermoelectric power generation is responsible for the largest annual volume of water withdrawals in the United States although it is only a distant third after irrigation and industrial sectors in consumptive use. The substantial water withdrawals by thermoelectric power plants can have significant impacts on local surface and ground water sources, especially in arid regions. However, there are few studies of the determinants of water use in thermoelectric generation. Analysis of thermoelectric water use data in existing steam thermoelectric power plants shows that there is wide variability in unitary thermoelectric water use (in cubic decimeters per 1 kWh) within and among different types of cooling systems. Multiple‐regression models of unit thermoelectric water use were developed to identify significant determinants of unit thermoelectric water use. The high variability of unit usage rates indicates that there is a significant potential for water conservation in existing thermoelectric power plants.     

A Spatial equilibrium perspective for planning the production of electrical energy

A spatial and temporal equilibrium model of production, consumption, prices, and transmission is constructed to determine the efficient pricing and allocation of electrical energy in the United States. Regional coordination is technically feasible and economically attractive. It also maximizes environmental efficiencies. The duplication of electrical generation and transmission facilities yields a misallocation of resources.The utilities put forth specific arguments against coordinated operations. Yet in a fully integrated power system, each region would be expected to maximize the benefits of time diversity by purchasing from outside the region in lieu of the expansion of regional capacity. The Federal Energy Regulatory Commission has not yet made a serious move to encourage regional coordination and planning, but the Commission has the authority to promote such operations if it chooses to do so.The author is an economist with the Department of Energy. The views expressed are those of the author and do not necessarily represent the policies of the Department of Energy or the views of other staff members.     

STOCHASTIC MODELING OF MONTHLY AND DAILY RAINFALL SEQUENCES1

ABSTRACT: A monthly model and two daily models (I and II) are presented for the purpose of generating monthly and daily rainfall sequences in the Quae Yai river basin in Thailand. Performance of the models are evaluated by comparing the statistical parameters of the generated sequences with those from historical data. For monthly generation, Thomas-Fiering model worked satisfactorily in spite of the monthly correlations being weak, if any. Daily Model I, which assumes no persistence between daily rainfall amounts within the wet spells, could not preserve some important parameters regardless of the simplicity in model construction. Application of multi-state transition probability matrix model gave good results, although the user has to modify some parameters looking at the performance of the model for each historical record.     

我国生物质气化发电行业综合风险评价

针对我国生物质气化发电行业的现状,总结诸多风险的影响因素,建立了我国生物质气化发电行业综合风险评价体系。该评价体系主要包括5个一级风险影响因素:市场风险、技术风险、安全风险、管理风险、环境风险,每个一级影响因素包括4个二级风险影响因素。由层次分析法获得各个一级影响因素和二级影响因素的权重值,根据所构建的评价集和评分标准,结合模糊综合评价法对我国生物质气化发电行业现状的综合风险等级做定量定性分析。综合风险评价研究结果表明,生物质气化发电行业处于"较高"的风险等级,与实际情况相符。综合风险评价体系的构建合理,所建立的评价方法以及相应对策分析可为决策者提供参考依据。     

SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market

Markets for solar renewable energy certificates (SRECs) are gaining in prominence in many states, stimulating growth of the US solar industry. However, SREC market prices have been extremely volatile, causing high risk to participants and potentially less investment in solar power generation. Such concerns necessitate the development of realistic, flexible and tractable models of SREC prices that capture the behavior of participants given the rules that govern the market. We propose an original stochastic model called SMART-SREC to fill this role, building on established ideas from the carbon pricing literature, and including a feedback mechanism for generation response to prices. We calibrate the model to the New Jersey market and backtest it, analyzing parameter sensitivity and demonstrating its ability to reproduce historical dynamics. Finally, we run simulations to investigate the role and impact of regulatory parameters, thus providing insight into the crucial role played by market design.     

制冷压缩机生产废水处理工程改造实例

某制冷压缩机生产废水处理工程改造项目采用"物化除磷+生物降解+深度处理"组合工艺,处理后的出水达到《城市污水再生利用—城市杂用水水质》(GB/T18920-2002)要求。实践证明,该改造工程具有处理工艺先进、技术参数合理、自动化程度高、系统运行稳定、抗冲击负荷能力强等特点。     

基于业务的网络可靠性试验流量生成方法研究

网络的发展从仅关注速度的提升转移到关注业务的交付能力,由此网络可靠性问题越来越受到研究者的重视。网络可靠性试验是评价网络可靠性的一种重要手段,而试验流量的生成对可靠性评价结果具有决定性的影响。然而目前从可靠性角度对网络进行试验时,对任务的描述较为简单,无法支撑由客户需求分解到网络流量生成的全过程;从流量模型角度出发的生成技术则仅关注全网流量,难以支持可靠性试验中的流量生成。本文提出基于业务的混合模型的流量描述方法,并使用软件实现,最后进行试验验证所提出方法的有效性。     

超声波/零价铁协同体系作用机理探讨

在超声波/零价铁协同体系中,探讨了OH.的产生途径及其影响因素,并分析了Fe0表面形态变化。结果表明:在超声波/零价铁体系中,羟基自由基的产生途径主要有四种:声空化导致水分子热解、Fenton反应、超声波与类Fenton反应的复合效应、铁粉颗粒效应;pH值过低或过高都不利于羟基自由基产生;当铁粉投加量为2.0g/L时最有利于羟基自由基产生;超声波通过冲刷、碎裂、清洗、气蚀和熔合等多种效应,活化和增强铁粉的表面性能。     

大龙潭水电站扩建小机组释放生态流量

恩施大龙潭水利枢纽于1995年5月完成环境影响评价,2003年8月开工建设,2006年5月建成投入使用,2006年10月进行竣工环保验收,验收审查时专家组发现,大坝下游至清江与带水河汇入口约700 m清江江段出现脱水现象,环保主管部门提出通过技术改造使大龙潭水利枢纽直接释放生态流量至电站坝下游,通过技术经济论证,大龙潭水利枢纽工程实施在水库大坝左岸8#坝段,将一处原用于龙凤坝自来水供给的预留管道口管道上追加连接一根长107 m直径为1.4 m的管道,将大坝上游的水引至左岸导流洞,在导流洞出口处安装一台1 600 kW小机组发电将出水直接放坝下游清江,使该河段电站坝下游脱水状态得到了恢复,经济和环境效益明显。     

低真空度下土工离心机产热机理试验研究

目的为1000 g以上的大型高速土工离心机提供散热方案,保证土工离心机的正常工作。方法通过试验研究和理论分析相结合的方法,研究低真空度下高速转子的产热机理,分析散热模式。结果绝对压力越高,离心室内的升温速度越快。不同真空度下(绝对压力10000、5000、3000、2000、1000 Pa),离心机驱动电机的输入功耗分别为2.17、3.79、5.17、7.66、11.56 kW。超重力高速土工离心机的产热主要由空气与高速转子的摩擦引起的第一热源,由高速旋转空气与离心舱壁面摩擦产生的第二热源,还有其他机构摩擦、空气与底部顶部摩擦产生的少量热源。结论第一热源产生的壁面热量可以通过设置冷却夹套快速带走,离心舱中心产生的第二热源的热量可以通过通入适量的冷风加以冷却,还可以通过注入冷却剂快速蒸发,利用汽化潜热进行快速冷却。