新能源发电绩效评价研究综述——基于多指标评价方法

基于多指标决策方法在新能源发电绩效评价领域应用的广泛性,本文分别从评价指标、指标权重及评价方法三个方面对现有新能源发电绩效评价相关文献作了回顾与总结。在评价指标上,分别从技术、经济、环境和社会方面总结了常用的新能源发电绩效评价指标;在指标权重上,分别从主观权重、客观权重和混合权重三个方面对权重设置进行了分析;在评价方法上,分别对AHP、TOPSIS和PROMETHEE等方法在新能源发电绩效评价中的应用进行了分析。同时,本文还指出了现有新能源发电绩效评价研究的不足及可进一步拓展的研究方向。     

从能源短缺看我国农业的发展方向

随着全球经济的快速发展,能源问题日益凸现,能否解决好能源短缺问题决定着各国经济能否持续发展。我国是农业大国,农业一直是我国的基础性产业,因此,解决好农业能源问题显得至关重要。本文认为,我国农业的发展应该走节约型农业道路,即发展能源农业,其不仅能够缓解农业能源短缺,而且还能促进农民收入增长,有效改善环境。     

浅析21世纪俄罗斯能源战略对东北亚能源合作的影响

能源不仅是俄罗斯实现经济发展的重要手段,也是重建俄罗斯大国形象的有力武器.21世纪初俄罗斯对其能源发展战略进行了重大调整,这将会引起东北亚国家相应的能源合作战略的改变.对中国来说,既要积极参与远东地区的能源合作,也要建设多元化的能源战略,唯其如此,才能保证中国的能源安全.     

和谐社会与价值--能量理论

本文延续了《经济学的本质》、《经济学的表象》两书提出的“价值-能量”理论,对构建和谐社会的要求、过程和目的进行了科学的分析,并为之奠定了科学的理论基础.     

International sanctions’ impact on energy efficiency in target states

This paper investigates the impact of international sanctions on energy efficiency by employing the panel fixed effect as well as average marginal effect from the Tobit model via data on 30 sanctioned states over the period 1996–2015 with international sanctions including unilateral, plurilateral, U.S., EU, UN, economic, and non-economic cases. Overall, we find that the imposition of unilateral sanctions leads to a 0.067% decrease in energy efficiency, but that of plurilateral sanctions positively contribute to energy efficiency in the case of the full sample of countries. Moreover, the imposition of UN sanctions has a greater decrease on energy efficiency in the target states than the 0.042% reduction of energy efficiency when the sanctionist is the U.S. For robustness, empirical results indicate that the imposition of plurilateral sanctions results in a drop of energy efficiency in Islamic countries, but an increase in non-Islamic countries, while there are also negative shocks induced by the imposition of EU sanctions on energy efficiency in Asian countries, but not for non-Asian countries. We also consider endogenous problems and dynamic specification by using indicator variables and System GMM. In summary, our empirical findings provide policy suggestions for those sanctioned countries about how to maintain energy efficiency when facing international sanctions.     

适应能源新形势促进节能认证工作新发展

能源问题是全球共同关注的一个战略性问题。中国是能源消费大国,能源需求大,而国内能源贮备不足,节能任务十分迫切。为适应新形势下的节能需要,文章建议应采取节能认证的手段,大力促进节能工作的发展。     

迎接高油价挑战,抓好石化企业节能减排工作

在高油价的条件下,石化企业面对油价高涨和节能减排高标准要求的严峻挑战。今后要做细石化企业内部节能减排基础管理工作,积极参与循环经济建设,做好石化企业整体布局调整和加强石化企业间合作才能抓好石化企业节能减排工作。     

从物质思维到信息思维：互联网时代产品创新模式

传统的产品创新立足于物质思维,创新活动围绕物质实体直接变换或改进展开,而信息、能量对物质的能动作用被“屏蔽”,三者遵循“物质→能量→信息”演进路径,产品虚拟价值被忽略,创新过程显现出封闭性、边界性、控制性等特征。信息思维下的物质、能量、信息处于“等量齐观”的位置,产品创新遵循“信息能量物质”双向路径,三者共同参与实体价值与虚拟价值协同互动过程,产品创新显现出开放性、联系性、自然涌现性等特征。作为互联网时代的成功典范,小米公司产品创新模式契合信息思维应用趋势,其现象级成功为企业运用信息思维开展产品创新提供了思路借鉴。     

能源要素价格改革对宏观经济影响的CGE分析

当前国内要素价格改革呼声很高,其中能源价格改革更为迫切。本文利用MCHUGE模型,研究提高能源价格对中国经济发展的影响。研究表明,提高能源价格在短期和长期均能显著降低中国能源强度,其原因在于能源价格的提高优化了中国经济产业结构,第二产业尤其是重工业在国内生产总值中所占比重下降,减少了总体的能源消费。但是能源价格提高对宏观经济带来了较大的负面影响,其导致的出口下降和投资需求下降分别是短期和长期国内生产总值下降的主要原因。     

A hybrid machine learning model for forecasting a billing period’s peak electric load days

Many models have been studied for forecasting the peak electric load, but studies focusing on forecasting peak electric load days for a billing period are scarce. This focus is highly relevant to consumers, as their electricity costs are determined based not only on total consumption, but also on the peak load required during a period. Forecasting these peak days accurately allows demand response actions to be planned and executed efficiently in order to mitigate these peaks and their associated costs. We propose a hybrid model based on ARIMA, logistic regression and artificial neural networks models. This hybrid model evaluates the individual results of these statistical and machine learning models in order to forecast whether a given day will be a peak load day for the billing period. The proposed model predicted 70% (40/57) of actual peak load days accurately and revealed potential savings of approximately USD $80,000 for an American university during a one-year testing period.