应用多元线性溶剂化能关系研究有机膨润土的吸附特征

以十六烷基三甲基溴化铵(CTMAB)制备的有机膨润土为代表,设置有机膨润土中CTMAB的负载量为1.0倍的阳离子交换量(CEC),测试了其吸附酚类、胺类、硝基类等25种有机物的有机碳标化的吸附系数(K∝)值.在此基础上,运用多元线性回归方法得到了有机膨润土吸附有机物的多元线性溶剂化能关系(LSER)模型,以明确各种作用...     

中国加入WTO对环保机械企业产生的影响

中国加入WTO将使国内环保企业竞争更为激烈 ,使国内环保机械企业生存变得更为艰难。同时 ,由于经验丰富的国外企业已将凭借实力占据国际市场 ,使得我国环保机械企业在国际市场竞争中处于不利地位。从另一方面讲 ,中国加入WTO可以促进我国政府采取有力措施 ,加强对环保市场的监管 ,克服无序竞争 ,为国内企业营造良好的竞争环境 ;加入WTO可以加快国内环保机械企业技术创新 ,开发具有国际水准的拳头产品 ,增强市场竞争力 ,同时 ,可以推动国内产业结构调整及资本运营 ,使环保机械企业快速发展壮大 ;另外 ,WTO的加入可以迫使国内环保机械企业学习国外先进经验 ,掌握全球经济知识 ,夯实参与国际市场竞争的基础。     

VTB-Based Design of a Standalone Photovoltaic Power System

Abstract

Design and prototyping of a standalone photovoltaic power generation system using the Virtual Test Bed software environment is presented. The design includes establishing physics-based models for components, prototyping system architectures, implementing control algorithms, testing and evaluating the system performance using the actual weather data at a particular geographical location. The dynamic performance of the photovoltaic power system and its components are revealed in great details through the system level simulation. This knowledge is used for verification and improvements of the system design in order to achieve the best system power capability, efficiency and size.     

Between municipal and regional planning: the development of regional district heating systems in Stockholm from 1978 to 2010

District heating (DH) is an important part of the Swedish energy system and one of the most important climate measures at the municipal level. The Swedish planning system gives a large amount of power to municipalities, thus leaving the regional level weak. Despite this, the DH systems in Stockholm have developed into regional systems; how has this development occurred and what made it possible? Regional and municipal strategies concerning DH and energy from 1978 to 2010 have been studied through Regional plans and comprehensive plans. The conclusions show that the municipal DH systems have grown and become interconnected, thus fulfilling one of the most important regional strategies: to expand and interconnect the systems to be able to build combined heat and power plants. This is not entirely due to the regional strategies, however; the local importance of the system, economic reasons and supply security are other explanations. The study shows that regional importance generally has grown, and thus also the regional focus on DH. As environmental and climate issues have risen on the agenda, the importance of DH from the municipal perspective has become more evident, as well as a shift from supply orientation to more focus on energy efficiency.     

压力容器爆炸事故分析和后果预测

针对一般压力容器的爆炸情况,对容器内物质分3种集态分别讨论计算其爆炸能量、爆炸冲击波大小及其破坏范围,以此进行事故分析和后果预测。     

Policy options to promote Chinese new energy vehicles consumption

Inspired by the green revolution, new energy vehicles (NEVs) provide a fresh, alternative mode of transportation for Chinese consumers that reduce their reliance on traditional, gasoline/diesel-based cars. However, despite strong government support for NEVs in China, the level of uptake by consumers remains slow. Using Shanghai as a case study, this article provides a much-needed insight into local consumers’ motivations to invest in NEVs through a survey of 100 Shanghai residents. Results indicate that current NEV promotion policies do not have a significant impact on the cognitive trade-off of NEV consumption under the “Integrated Consumer Behavior Model,” mainly due to inconvenient charging facilities, technical concerns regarding battery, higher prices, and wait-and-see attitudes regarding the pilot policy environment. Drawing on experiences from Sweden and New Zealand, this research serves to enhance knowledge on consumer attitudes towards NEVs and assist policy makers in developing more effective green consumption promotion campaigns in the future.     

System dynamics modelling of hybrid renewable energy systems and combined heating and power generator

The role of energy in the present world is critical in terms of both economical development and environmental impact. Renewable energy sources are considered essential in addressing these challenges. As a result, a growing number of organisations have been adopting hybrid renewable energy system (HRES) to reduce their environmental impact and sometimes take advantage of various incentives. When a HRES is being planned, the ability to model a HRES can provide an organisation with numerous benefits including the capability of optimising sub-systems, predicting performances and carrying out sensitivity analysis. In this paper, we present a comprehensive system dynamics model of HRES and combined heating and power (CHP) generator. Data from a manufacturing company using HRES and CHP generator are used to validate the model and discuss important findings. The results illustrate that the components of a HRES can have conflicting effects on cost and environmental benefits; thus, there is a need for an organisation to make trade-off decisions. The model can be a platform to further simulate and study the composition and operating strategies of organisations that are venturing to adopt new or additional HRESs.     

Functional-ecological role of biological diversity in populations and communities

The functional role of differentiation with respect to local population density, expression of responses to the presence of other individuals, and body weight has been analyzed from an ecoenergetic standpoint with consideration of known mathematical laws. The results indicate that increased variation in these parameters (i.e., their higher diversity) improves the efficiency of energy flow through the animal population: the input of energy increases, while its expenditures decrease. The greatest effect is achieved when the population is divided into alternative modal groups.     

Mitigation of CO2 Emissions from the EU-15 Building Stock. Beyond the EU Directive on the Energy Performance of Buildings (9 pp)

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Goal Scope and Background. The European Directive on Energy Performance of Buildings which came into force 16 December 2002 will be implemented in the legislation of Member States by 4 January 2006. In addition to the aim of improving the overall energy efficiency of new buildings, large existing buildings will become a target for improvement, as soon as they undergo significant renovation. The building sector is responsible for about 40% of Europe's total end energy consumption and hence this Directive is an important step for the European Union in order that it should reach the level of saving required by the Kyoto Agreement. In this the EU is committed to reduce CO2 emissions relative to the base year of 1990 by 8 per cent, by 2010. But what will be the impact of the new Directive, how large could be the impacts of extending the obligation for energy efficiency retrofitting towards smaller buildings? Can improvement of the insulation offset or reduce the growing energy consumption from the increasing installation of cooling installations? EURIMA, the European Insulation Manufacturers Association and EuroACE, the European Alliance of Companies for Energy Efficiency in Buildings, asked Ecofys to address these questions.

Methods

The effect of the EPB Directive on the emissions associated with the heating energy consumption of the total EU 15 building stock has been examined in a model calculation, using the Built Environment Analysis Model (BEAM), which was developed by Ecofys to investigate energy saving measures in the building stock. The great complexity of the EU-15 building stock had to be simplified by examining five standard buildings with eight insulation standards, which are assigned to building age and renovation status. Furthermore, three climatic regions (cold, moderate, warm) were distinguished for the calculation of the heating energy demand. This gave a basic 210 building types for which the heating energy demand and CO2 emissions from heating were calculated according to the principles of the European Norm EN 832.

Results and Discussion

The model calculations demonstrates that the main contributor to the total heating related CO2 emissions of 725 Mt/a from the EU building stock in 2002 is the residential sector (77%) while the remaining 23% originates from non-residential buildings. In the residential sector, single-family houses represent the largest group responsible for 60% of the total CO2 emissions equivalent to 435 Mt/a.

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- The technical potential: If all retrofit measures in the scope of the Directive were realised immediately for the complete residential and non-residential building stock the overall CO2 emission savings would add up to 82 Mt/a. An additional saving potential compared to the Directive of 69 Mt/a would be created if the scope of the Directive was extended to cover retrofit measures in multi-family dwellings (200-1000m2) and non-residential buildings smaller than 1000m2 used floor space. In addition including the large group of single-family dwellings would lead to a potential for additional CO2 emission reductions compared to the Directive of 316 Mt/a.

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- Temporal mobilization of the potential: Calculations based on the building stock as it develops over time with average retrofit rates demonstrated that regulations introduced following the EPB Directive result in a CO2 emissions decrease of 34 Mt/a by the year 2010 compared to the business as usual scenario. Extending the scope of the EPB Directive to all residential buildings (including single and multi-family dwellings), the CO2 emission savings potential over the 'business as usual' scenario could be doubled to 69 Mt/a in the year 2010. This creates an additional saving potential compared to the Directive of 36 Mt/a.

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- Cooling demand: The analysis demonstrated that in warm climatic zones the cooling demand can be reduced drastically by a combination of lowering the internal heat loads and by improved insulation. With the reduction of the heat loads to a moderate level the cooling demand, e.g. of a terraced house located in Madrid, can be reduced by an additional 85% if the insulation level is improved appropriately.

Conclusions

This study demonstrates that the European Directive on Energy Performance of Buildings will have a significant impact on the CO2 emissions of the European building stock. The main saving potential lies in insulation of the existing building stock. Beyond this, CO2 emissions could, however, be greatly reduced if the scope of the Directive were to be extended to include retrofit of smaller buildings.

Recommendation and Perspective

The reductions should be seen in relation to the remaining gap of 190 Mt CO2 eq. per annum between the current emission levels of EU-15 and the target under the Kyoto-Protocol for the year 2010. The energy and industrial sector will probably contribute only a fraction of this reduction via the newly established EU emissions trading scheme and connected projects under the flexible mechanism. In addition, the traffic sector is likely to continue its growth path leading to a widening of the gap. Thus, there is likely to be considerable pressure on the EU building sector to contribute to the EU climate targets beyond what will be achieved by means of the current EPB Directive. Legislators on the EU and national level are therefore advised to take accelerated actions to tap the very significant emission reduction potentials available in the EU building stock.     

Prediction of BLEVE mechanical energy by implementation of artificial neural network

In the event of a BLEVE, the overpressure wave can cause important effects over a certain area. Several thermodynamic assumptions have been proposed as the basis for developing methodologies to predict both the mechanical energy associated to such a wave and the peak overpressure. According to a recent comparative analysis, methods based on real gas behavior and adiabatic irreversible expansion assumptions can give a good estimation of this energy. In this communication, the Artificial Neural Network (ANN) approach has been implemented to predict the BLEVE mechanical energy for the case of propane and butane. Temperature and vessel filling degree at failure have been considered as input parameters (plus vessel volume), and the BLEVE blast energy has been estimated as output data by the ANN model. A Bayesian Regularization algorithm was chosen as the three-layer backpropagation training algorithm. Based on the neurons optimization process, the number of neurons at the hidden layer was five in the case of propane and four in the case of butane. The transfer function applied in this layer was a sigmoid, because it had an easy and straightforward differentiation for using in the backpropagation algorithm. For the output layer, the number of neurons had to be one in both cases, and the transfer function was purelin (linear). The model performance has been compared with experimental values, proving that the mechanical energy of a BLEVE explosion can be adequately predicted with the Artificial Neural Network approach.