The concept of the liquid Li17Pb83 and Helium gas dual-cooled Fuel Breeding Blanket (FBB) for the Fusion-Driven sub-critical System (FDS) is presented and analyzed. Taking self-sustaining tritium (TBR >1.05) and an...The concept of the liquid Li17Pb83 and Helium gas dual-cooled Fuel Breeding Blanket (FBB) for the Fusion-Driven sub-critical System (FDS) is presented and analyzed. Taking self-sustaining tritium (TBR >1.05) and annual output of 100 kg or more fissile 239Pu (FBR > 0.238) as objective parameters, and based on the three-dimensional Monte Carlo neutron-photon transport code MCNP/4A, a neutronics-optimizated calculation of different cases was carried out and the concept is proved feasible. In addition, the total breeding ratio ( BR = TBR + FBR ) is listed corresponding to different cases.展开更多
In this study we use the experiences from the service industry and explore pre-requisites of the e-health market which will need to achieve to stimulate both sides of the market (vendors, healthcare organizations, gov...In this study we use the experiences from the service industry and explore pre-requisites of the e-health market which will need to achieve to stimulate both sides of the market (vendors, healthcare organizations, government, institutions, corporations and services organizations) to interact with each other and develop demand driven services and social innovations. The results presented in this paper may be of interest for decision makers, industries (e.g. software or technology designers), small and medium enterprises (SME) and entrepreneurs with an interest in becoming a part of the e-health market, and for consumers (e.g. healthcare personnel and patients) that are willing to influence the market through their choices. The outcomes of the study shown that the role of virtual brokers is essential to the further development of a sustainable e-health market globally because its role as catalyst for interaction between the two-sides of the markets, its effects on the reduction of competitive constrains, its effects on the accessibility to broader network of actors and its effects on the support of public-private exchanges of knowledge and experience.展开更多
Learned from Inner Mionsolia Rare Earth Association, domestic rare earth market was in good situation driven by high demand. Price of neodymium rose strongly. Dysprosium oxide and terbium oxide still hovered at the hi...Learned from Inner Mionsolia Rare Earth Association, domestic rare earth market was in good situation driven by high demand. Price of neodymium rose strongly. Dysprosium oxide and terbium oxide still hovered at the hisger price level. Price of europia remained stable.展开更多
According to statistics, China’s domestic clothing consumption averaged an annual growth rate of 14.72 percent from 2001 to 2008, 2009 growth rate is expected to remain more than 15 percent, although exposed
随着电力系统中可再生能源(renewable energy sources,RESs)比例不断增加,新能源参与能量市场和备用市场在技术上和经济上的重要性不断凸显。研究了含有风、光、水、储资源的RES聚合商在日前市场、备用市场及实时平衡市场等多个市场的...随着电力系统中可再生能源(renewable energy sources,RESs)比例不断增加,新能源参与能量市场和备用市场在技术上和经济上的重要性不断凸显。研究了含有风、光、水、储资源的RES聚合商在日前市场、备用市场及实时平衡市场等多个市场的综合竞价策略。针对北欧顺序交易市场框架,提出了一套考虑备用资源和波动补偿耦合的数据驱动信息间隙理论(data-driven information gap theory,DIGDT)决策模型解决RES聚合商的多阶段竞价优化问题。在DIGDT中采用基于置信区间的模糊集构造方法(confidence interval-based ambiguity set,CIAS)估计风、光的预测误差,通过机会约束对水电和储能(batteryenergy storage,BES)补偿出力偏差的可能性进行建模,并考虑备用资源与补偿容量的多时间尺度耦合。在备用市场中,利用基于备用调用场景的随机优化确保日前备用计划的可行性。通过案例分析验证了所提出模型的有效性。展开更多
基金This work was supported by the Chinese Academy of Sciences and the National Natural Science Foundation of China No.10175068.
文摘The concept of the liquid Li17Pb83 and Helium gas dual-cooled Fuel Breeding Blanket (FBB) for the Fusion-Driven sub-critical System (FDS) is presented and analyzed. Taking self-sustaining tritium (TBR >1.05) and annual output of 100 kg or more fissile 239Pu (FBR > 0.238) as objective parameters, and based on the three-dimensional Monte Carlo neutron-photon transport code MCNP/4A, a neutronics-optimizated calculation of different cases was carried out and the concept is proved feasible. In addition, the total breeding ratio ( BR = TBR + FBR ) is listed corresponding to different cases.
文摘In this study we use the experiences from the service industry and explore pre-requisites of the e-health market which will need to achieve to stimulate both sides of the market (vendors, healthcare organizations, government, institutions, corporations and services organizations) to interact with each other and develop demand driven services and social innovations. The results presented in this paper may be of interest for decision makers, industries (e.g. software or technology designers), small and medium enterprises (SME) and entrepreneurs with an interest in becoming a part of the e-health market, and for consumers (e.g. healthcare personnel and patients) that are willing to influence the market through their choices. The outcomes of the study shown that the role of virtual brokers is essential to the further development of a sustainable e-health market globally because its role as catalyst for interaction between the two-sides of the markets, its effects on the reduction of competitive constrains, its effects on the accessibility to broader network of actors and its effects on the support of public-private exchanges of knowledge and experience.
文摘Learned from Inner Mionsolia Rare Earth Association, domestic rare earth market was in good situation driven by high demand. Price of neodymium rose strongly. Dysprosium oxide and terbium oxide still hovered at the hisger price level. Price of europia remained stable.
文摘According to statistics, China’s domestic clothing consumption averaged an annual growth rate of 14.72 percent from 2001 to 2008, 2009 growth rate is expected to remain more than 15 percent, although exposed
文摘随着电力系统中可再生能源(renewable energy sources,RESs)比例不断增加,新能源参与能量市场和备用市场在技术上和经济上的重要性不断凸显。研究了含有风、光、水、储资源的RES聚合商在日前市场、备用市场及实时平衡市场等多个市场的综合竞价策略。针对北欧顺序交易市场框架,提出了一套考虑备用资源和波动补偿耦合的数据驱动信息间隙理论(data-driven information gap theory,DIGDT)决策模型解决RES聚合商的多阶段竞价优化问题。在DIGDT中采用基于置信区间的模糊集构造方法(confidence interval-based ambiguity set,CIAS)估计风、光的预测误差,通过机会约束对水电和储能(batteryenergy storage,BES)补偿出力偏差的可能性进行建模,并考虑备用资源与补偿容量的多时间尺度耦合。在备用市场中,利用基于备用调用场景的随机优化确保日前备用计划的可行性。通过案例分析验证了所提出模型的有效性。
