集成电路晶圆制造企业能效指数构建及分析

本文基于集成电路晶圆制造企业生产特点,选取了产品单耗、产值单耗、产能利用率、综合节能率和能源消费成本5个指标,构建了集成电路晶圆制造企业能效指数模型。通过企业历史能耗数据,对3个企业的能效指数进行了计算评价。该模型客观科学地反映集成电路晶圆制造企业的真实能效水平。     

基于区域能源管理云平台的工业能效指数构建及分析

本文基于区域能源管理云平台的企业能耗数据,选取产品单耗、产值能耗、能源加工转换效率、能效数据质量和能源消费结构5个维度指标,构建了工业能效指数(EEI)模型。根据该模型,在东莞市能源管理云平台基础上开发了"能效指数"模块,该模块能够自行采集各类数据源的数据,然后通过EEI模型运算实现相关能效分析,自动生成能效分析月度报告,为节能主管部门的决策提供参考。     

单耗节能是浙江工业节能的方向

浙江是一个缺煤、无油、少电的省份,能源资源贫乏,自给率低,能源供求矛盾一直是制约浙江工业经济发展的瓶颈。所以,节能降耗工作对于我省工业经济有着特别重要的意义,节能已成为我省经济发展的长远战略方针。通过多年的努力,我省工业节能工作取得了很大的成绩,全省万元工业产值能耗在全国居于领先地位。在成绩面前,我们也应该清醒地看到,与世界先进水平相比,仍然存在很大的差距。如何在发展工业的同时,尽可能地降低工业部门的能耗,依然是浙江经济发展的重要课题。 工业节能可以通过降低各工业部门的产值单耗和调整工业结构来实现,这也称为单耗节能和结构节能。为了更好地开展节能工作,当前有必要对单耗节能和结构节能对浙江工业节能的贡献进行细致的分析,找出影响工业节能的主要因素。 一、分析模型的建立 这里我们采用简单实用的因素分析法来进行分析。该方法把影响能源消费的因素分     

关于联产电厂热电单耗分摊的讨论

热电联产是节约能源、保护环境的一种重要供热方式,热电单耗分摊的重要性不容置疑。本文用建立在“现代节能理论”基础上的单耗分析理论对热电单耗进行分析,并与传统方法进行比较,得出合理的结论。     

工业部门能源消费的单耗效应和结构效应

<正> 一、前言工业部门是最大的能源消费者。如何在发展工业的同时,尽可能的降低能源消费(即降低工业综合能耗),这对于我国的经济发展有着重要的意义。影响工业部门综合能耗变化的因素有两个:其一是“单耗效应”,即各工业部门的产值单耗的变化对其综合能耗的影响;其二称为“结构效应”,即工业生产的结构变化对工业部门综合能耗的影响。如何将这两种效应分解开来,并分别进行定量分析,以确定各自的贡献,对于制订工业部门的节能政策以及确定节能方向和节能重点都有其现实意义。目前国际上在这方面的研究中主要采用     

关于热电联产电厂热电单耗分摊的讨论

热电联产是节约能源,保护环境的一种重要供热方式,热电单耗分摊的重要性不容置疑,用建立在“现代节能理论”基础上的单耗分析理论对热电单耗进行分析,并与传统文革方法进行比较,得出了合理的结论。     

运用节能监测技术开展油田输油泵能耗分析研究及应用

以2017年华北油田公司104台输油泵节能监测为数据来源,以"输油泵机组效率、输油泵单耗"为切入点,以节能监测技术手段探索油田生产输油泵机组节能途径,通过寻找相关因素与机组效率、单耗的线性关系,及用灰色关联法进行分析,确定影响输油泵机组效率和单耗的主要敏感因素;并以实际监测数据为例,提出相应的优化方法,为提高输油泵机组效率和降低单耗提出更有针对性的措施建议。     

关于联产电厂热电电耗分摊的讨论

热电联产是节约能源、保护环境的一种重要供热方式，热电单耗分摊的重要性不容置疑。本文用建立在“现代节能理论”基础上的单耗分析理论对热电单耗进行分析，并与传统方法进行比较，得出合理的结论。     

节能求增产 节能促效益

<正> 襄阳轴承厂既是全国轴承行业重点厂之一,又是省市重点耗能企业,年耗各种能源折标煤2万吨。1983年被评为湖北省节能先进单位。1984年月月保持产值增长、总能耗量下降、吨标煤创利税上升的好势头。1984年与1983年相比,全年产量增长21％,总产值增长19％,总耗标煤减少853吨,下降4.5％,万元产值综合单耗由     

单位产值能耗下降率的计算与分析

在节能工作中，对单位产值能耗、节能率等概念的正确理解、计算与分析是十分重要的。本文通过对单位产值能耗等指标的梳理，分析了我国总体节能目标、地方节能目标的实际完成情况，对掌握其总体能源利用水平、测算单位产值能耗下降率等具有重要意义。     

PCA-逐步回归模型在能耗评估指数中的应用及预测

能耗评估指数的高低是衡量能源消费水平的重要因素,基于SPSS22.0,应用主成分分析法(PCA)研究了影响贵州省能源消费评价的要素,结合贵州省的实际情况和相关数据进行降维提取主成分,得出生活质量指数是影响贵州省能源消费水平最重要的第一内生因素,再依据综合得分Y构建2001-2012逐步多元回归分析能耗评估指数预测模型,用2013-2017年的五组数据验证模型的合理性.结论 研究表明,贵州省的能耗评估指数与地区生产总值、能源工业投资、终端能源消费量呈正相关,而与单位GDP能耗呈负相关,为贵州省能源消费指数评价提供有效参考.     

电力弹性系数与电力工业优先发展

分析了我国能源消费的特点和电力消费快速增长的原因及其变化趋势，讨论了现代化、电气化水平的变化对电力消费的影响，得出在今后一段时期我国电力消费将持续增长、单位产值电耗上升，能耗下降，电力弹性系数大于并接近于１，能源弹性系数小于１，这表明电力工业必须超前于国民经济增长而优先发展。     

Energy assessment of the Portuguese meat industry

The meat product industries play a major role in many global economies. In several countries, it is the industry with a higher economic weight within the food industries. As refrigeration systems are indispensable within the production processes, it is important to improve the overall energy efficiency in order to reduce the electricity consumption in these industries. The electrical energy consumption of the Portuguese meat industries is evaluated in this paper. The field study shows that electrical energy accounts for 66.5 % of the overall energy consumption in slaughterhouses, 85 % in sausage houses and 92.5 % in ham industries. Relatively to the refrigeration systems of these industries, results show that the average compressor nominal power per unit of cold room volume is comprised between 0.072 and 0.043 kW/m³. The average value of the specific electrical energy consumption for the slaughterhouses was 149 kWh/ton_HSCW, 660 kWh/ton_RM for sausage houses and 1208 kWh/ton_RM for ham production industries. Finally, a potential reduction of the electricity consumption based on simple energy efficiency measures was estimated in 24 % for the slaughterhouses, 13 % for the sausage houses and 8 % for the ham industry.     

单位产值能耗模型在区域用水量预测中的应用

将单位产值能耗模型应用于区域用水量预测中,提出了水资源总量的约束条件,在基准情景、优化情景、可持续发展情景三种情景下,预测分析了2010～2050年河北省用水量。通过与河北省水资源评价中不同水平年的用水量预测值比较,表明本文模型的预测值准确性较高,切合实际情况,可持续发展情景能满足区域水资源总量的约束要求,为适合今后水资源和社会经济发展的最优情景。     

Energy auditing and energy conservation potential for glass works

A state-owned glass production enterprise introduces the strategic investor to carry on the assets reorganization, including the purchase of two float glass production lines with subsequent technology transformations and the construction of a new float glass production line with domestic leading technology. The fuel consumption structure has changed from coal-burning to natural gas or fuel oil. The following auditing procedures were followed according to Chinese national standards. These procedures include constituting an ordinance on energy management, strengthening the energy measurement and data statistical system, and improving production lines as well as energy-saving measures. Production scale expanded approximately twice during the period of audit. Comprehensive energy consumption was 2.58 ton coal equivalent (tce) at aqual in heat value (AHV refers to energy consumed to generate each kW h of electric power, each m³ of oxygen, nitrogen, hydrogen, or each kg of steam. The term of AHV provides a unification measurement criterion for fossil fuels consumed before the energy transformation.) account per 10,000 Yuan output value, and 2.17 tce at heat value equivalent (HVE) account. Comprehensive energy consumption per unit of product was 15.35 kg coal equivalent (kce) per weight box. The percentage of energy cost among total cost reduced from 51.19% in 2007 to 46.48% in 2008. Consequently, the comprehensive energy conversion level holds a leading position among peers in China.     

上海不同产业用电效率的分析及节能降耗的建议

以能源消费中的电力消费为切入口,引入产业单位产值电耗比这一指标,以上海在九五、十五期间的产值增长和用电的数据为基础,对不同产业的用电效率和节能的成效进行了客观的评价,以便于掌握节能降耗的重点,并有的放矢的挖掘节能潜力,以期实现上海建设资源节约型城市的目标。     

产业结构对能源消费的影响分析——以江苏省为例

研究了2000年、2002—2012年江苏省的产业结构与能源消费之间的关系.首先,使用灰色关联分析法分析了江苏省三大产业及生活用能与能源消费之间的关系,获得了灰色绝对关联度、灰色相对关联度、灰色综合关联度.分析结果表明,第二产业与能源消费的关联度最大.然后,使用对数回归分析法分析了各大产业对能源消费具体的影响程度,得出对能源消费总量影响最大的是第二产业.优化产业结构,提高能源使用效率,是实现江苏省可持续发展的重要任务.     

A cross-sectional analysis of energy—output correlation

The nature of the correlation between energy consumption and output is examined based on cross-sectional data for 100 countries. The bias in the correlation due to the use of nominal income and to the convention adopted in measuring non-commercial energy consumption is analysed. It is found that when real income is used and non-commercial energy consumption measured in commercial energy replacement value, the cross-sectional energy elasticity increases rapidly from about unity for the low income developing countries to between 1.6 and 1.8 for the high income developing countries, and declines marginally thereafter in the industrial country income range. The results show certain disparity on energy-output ratio across countries with higher income countries consuming disproportionately more energy per unit of real output.     

The influence of the operational parameters of chamber furnaces on the consumption of the chemical energy of fuels

The paper presents the results of thermal investigations and calculations of the influence of the operational parameters of chamber furnaces on the loss of heat to the environment and the consumption of the chemical energy of fuels per unit of charge. The least squares adjustment method to coordinate the substance balances has been used. Energy balances have been set up basing on the enthalpy of devaluation. By means of the analysis of the stepwise regression method the empirical functions were determined. The results obtained will be applied in the algorithm for controlling the operation of furnaces.     

Analysis of electricity consumption: a study in the wood products industry

This paper evaluates the effect of industry segment, year, and US region on electricity consumption per employee, per dollar sales, and per square foot of plant area for wood products industries. Data was extracted from the Industrial Assessment Center (IAC) database and imported into MS Excel. The extracted dataset was examined for outliers and abnormalities with outliers outside the quantile range 0.5–99.5 dropped from the analysis. A logarithmic transformation was applied to eliminate the skewness of the original data distributions. Correlation measurements indicated a moderate association between the response variables; therefore, a multivariate analysis of variance test was performed to measure the impact of the three factors: industry type, year, and region, simultaneously on all response variables. The results indicated some effect associated with all three factors on the three measures of electricity consumption. Subsequently, univariate ANOVA tests were conducted to determine the levels of the factors that were different. Most levels of industry type were associated with significantly different energy consumption, an expected result since some of the industries are more energy intensive than others. The industries in Standard Industry Code (SIC) 2493 (reconstituted wood products) are the groups with the highest electricity consumption with means of 38,096.28 kWh/employee, 0.86 kWh/sales, and 154.14 kWh/plant area while industries grouped in SIC 2451 (mobile homes) have the smallest consumption with means of 6811.01 kWh/employee, 0.05 kWh/sales, and 9.45 kWh/plant area. Interestingly, differences in regional consumption were found to be linked to the proportion of industry types by region. Data analysis also indicated differences in electricity consumption per employee for the factor year, but for the other response variables, no differences were found. These main results indicate that industries in the wood products sector have different electricity consumption rates depending on the type of manufacturing processes they use. Therefore, industries in this sector can use these comparisons and metrics to benchmark their electricity consumption as well to understand better how electricity costs might vary depending on the region they are located.