下翼缘摩擦式自定心钢框架梁柱节点抗震性能的数值模拟

介绍了一种新型的钢框架梁柱节点形式,其中预应力钢绞线提供了结构在地震作用下的复位功能(自定心),设置在梁端下翼缘的摩擦件则为结构提供了耗能能力;介绍了下翼缘摩擦式自定心钢框架梁柱节点的构造和工作原理,以节点的低周反复加载试验结果为依据,利用面向对象的开放式计算程序OpenSees建立了节点的数值模型,并侧重于模拟节点在...     

Technological Progress, Structural Change and China＇s Energy Efficiency

China has witnessed rapid economic development since 1978, and during the time, energy production and consumption developed at a tremendous speed as well. Energy efficiency which can be measured by energy consumption per unit of GDP, however, experienced continuous decrease. Theoretically, the change of energy efficiency can be attributed to industry structural change and technological change. In order to explain the transformation of Chinese energy efficiency, we adopt logarithmic mean Divisia index techniques to decompose changes in energy intensity in the period of 1994-2005. We find that technological change is the dominant contributor in the decline of energy intensity, but the contribution has declined since 2001. The change in industry structure has decreased the energy intensity before 1998, but raised the intensity after 1998. Decomposed technological effects for all sectors indicate that technological progresses in high energy consuming industries such as raw chemical materials and chemical products, smelting and pressing of ferrous metals, manufacture of non-metallic mineral products and household contribute are the principal drivers of China＇s declining energy intensity.     

碳酸盐对密闭空间粉尘爆炸压力影响的试验研究

为了预防和缓解工业粉尘爆炸并研究惰性粉尘对粉尘爆炸的惰化作用,在Siwek 20 L球形爆炸装置内,针对高爆镁粉和高灰分煤粉,选用碳酸钙(CaCO3)、碳酸氢钠(NaHCO3)、碳酸氢钾(KHCO3)等3种碳酸盐作为惰化剂,讨论惰化剂浓度、粒径及点火能量对最大爆炸压力的影响。结果表明,惰化剂粒径越小,浓度越高,对粉尘爆炸的惰化作用越强;粉尘爆炸的净升压与点火能量无关,点火头主要起引燃作用;当惰化剂浓度递增至60%时以上,粉尘爆炸压力急剧下降,直至不爆。此外,CaCO3的抑制效果明显优于NaHCO3、KHCO3,故推荐采用CaCO3来控制粉尘爆炸风险。     

风能资源开发利用的社会需要和发展前景

开发风能资源、利能风力发电在我国虽然只有数十年，但发展却很快。作为可再生的清洁能源越来越受到重视。不仅有巨大的环保意义，也有突出的经济效益。本文从风能利用的意义和社会需要展开论证，结合我国风能资源利用的概况，特别是结合风电装机最多的新疆的实际情况进行估算，从多侧面论述了风能资源的开发利用问题。     

天津市工业行业全要素能源效率变动的影响因素分析

天津市作为一个典型的工业城市,工业行业能源效率水平决定了其能否完成"十二五"期间单位生产总值能耗比"十一五"末下降18%的国家节能降耗考核目标。正确把握影响工业行业能源效率变动的因素是天津市寻求节能降耗途径的关键。本文以1998-2008年天津市工业行业的能源消耗面板数据为样本,通过引入非参数Malmquist生产率指数,从技术进步、纯技术效率和规模效率指数角度分析天津市工业行业全要素能源效率变化情况,并运用Tobit模型估计工业化水平、工业内部结构、技术进步、产权结构、政府影响力、进出口贸易和能源消费结构等要素对工业行业全要素能源效率变化的影响程度。研究表明:1998-2008年期间,天津市工业行业间的能源效率差异显著,整体全要素能源效率不断提高,技术进步是其提高的主要原因,但技术效率表现为负增长;工业化水平、技术进步、进出口贸易和能源消费结构的调整对工业行业能源效率的提升具有不同程度的促进作用,但重工业和国有经济比重的增加及政府对能源市场的干预对能源效率的提升起负向作用。因此,天津市工业行业能源效率的进一步提高,需要大力开发、推广和使用先进技术及设备,加强对外开放力度,降低重工业和国有经济比重,充分发挥市场调节能源配置的优势。     

秦皇岛市商业低碳化研究

2001—2010年秦皇岛市商业行业碳排放量分析结果显示，秦皇岛商业行业碳排放不论从总量还是排放强度均呈现增加趋势。通过剖析商业低碳化的制约因素，对秦皇岛市商业低碳化发展提出了相关建议：商业企业应积极进行内部治理，控制商业建筑的碳排放并合理选择供应商；发挥政府的主导作用，为低碳商业的发展提供良好的外部环境；合理规划商业产业与商业网点布局，积极引导、促进商业领域低碳技术的使用和发展；建立低碳商业发展专项资金，为中小型商业企业提供资金支持；加强对低碳消费的引导力度。     

城镇化与工业化对能源强度影响的实证研究——基于截面相关和异质性回归系数的非平衡面板数据模型

城镇化、工业化对中国能源强度的影响如何?如何在快速推进城镇化、工业化进程的同时确保节能减排目标的实现?论文以能源强度指标代替传统的能源消费指标来反映能源综合利用效率,并应用考虑截面相关性和异质性回归系数的非平衡面板数据模型,使用共同相关效应组均值(CCEMG)估计方法对中国1978-2014年城镇化、工业化与能源强度之间的关系进行分析。研究结果表明:人均实际GDP增长1%,能源强度将会降低0.412%,工业化水平增长1%,能源强度将会上升0.630%,而由于生产消费等经济活动的增加、高度集中化以及规模经济的综合作用,使得城镇化对能源强度的影响并不确定。联系研究结论,本文提出政策建议:我国应加快产业结构升级,转变经济增长方式;构建绿色制造体系,推进"五化"协同发展;推进绿色、循环、低碳发展的新型城镇化建设,提高城镇化质量,提升我国整体的能源效率,确保节能减排目标的实现,推动经济全面、协调、可持续发展。     

Key factors that influence households’ tree planting behaviour

Despite a decrease in indigenous forests and a growing demand for tree products in developing countries, tree planting activities are not considerably expanding in Tanzania. In this paper, we analyse factors that influence households’ tree planting behaviour, as well as the number of trees planted. Coast and Morogoro regions in the east of Tanzania were selected as the case, and data was gathered from 202 households in 11 villages in these regions where tree planting programmes have been or still are active. A Heckman model is used to analyse the factors that drive tree planting behaviour. Results indicate that households get wood energy from forest reserves (57%), in addition to their own planted trees (9.1%). Emperical findings show that the most important factors have significantly positive effects on households’ tree planting behaviour, as well as the extent to which it was implemented. These factors include households’ land sizes, households’ awareness of tree planting programmes, tree planting for wood energy, and the age of the head of the household. The right/freedom to harvest and transport tree products, households’ attitudes towards tree planting, and family size have significantly negative effects on households’ tree planting behaviour. This paper is perhaps the first comprehensive study to analyse the factors that influence households’ tree planting behaviour in Tanzania, and it uncovers results that are useful, even for other developing countries with similar conditions.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

Blowing policy bubbles: rethinking emissions targets and low-carbon energy policies in the U.K.

The issue of proportionality is central to climate policy debates about setting targets for the reduction of greenhouse gas emissions and the development of low-carbon energy. In effect, these debates centre on whether the perceived social costs outweigh the benefits of policies and, if not, whether this may lead to over-investment or ‘policy bubbles’. Political attention, agenda setting and policy image are all crucial drivers of ambitious policy formation, as seen in the case of the United Kingdom's (U.K.) Climate Change Act (2008). However, as political salience waned and economic depression dragged on, the cost of long-term climate targets has been reconsidered. Based on documentary analysis and 33 interviews with central political actors, this article presents a detailed account of how economic arguments have been used to reinterpret and challenge policies, using the heuristics of ‘over-investment’ and ‘policy bubbles’. Ultimately, arguments about proportionality hinge on which costs and benefits are considered. In the U.K., economic and technical framings are typically prioritised, but they do not explain contradictory and politically motivated policy decisions. We discuss these dynamics within the context of maturing renewable energy technologies, high energy prices and the U.K.’s cross-party consensus approach to climate politics.