本文研究利用基于新能源需求响应的可再生能源集成系统(Renewable Integrated Energy System,RISE)多能源云储能规划,以提高能源系统的效能。构建了多能源云储能模式的基本架构,包括在云储能模式中2个主体交互模型和考虑多能源云储能的...本文研究利用基于新能源需求响应的可再生能源集成系统(Renewable Integrated Energy System,RISE)多能源云储能规划,以提高能源系统的效能。构建了多能源云储能模式的基本架构,包括在云储能模式中2个主体交互模型和考虑多能源云储能的能源集线器结构。在此基础上,设计用户侧充放能优化决策模型并提出相应的求解算法,以优化用户侧充放能。研究发现,在实际应用中,采用这种基于新能源需求响应的多能源云储能规划能够减少能源浪费,提高能源利用率,同时满足用户需求。该研究对推动清洁能源的可持续发展、提高能源系统的智能化水平具有重要意义。展开更多
Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarp...Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarpment where landslide problem is frequent due to steep slope, complex geology, rift tectonics, heavy rainfall and seismicity. In order to tackle this problem, preparing a landslide susceptibility map is very important. For this, GISbased frequency ratio(FR) and logistic regression(LR) models have been applied using landslide inventory and the nine landslide factors(i.e. lithology, land use, distance from river & fault, slope, aspect, elevation, curvature and annual rainfall). Database construction, weighting each factor classes or factors, preparing susceptibility map and validation were the major steps to be undertaken. Both models require a rasterized landslide inventory and landslide factor maps. The former was classified into training and validation landslides. Using FR model, weights for each factor classes were calculated and assigned so that all the weighted factor maps can be added to produce a landslide susceptibility map. In the case of LR model, the entire study area is firstly divided into landslide and non-landslide areas using the training landslides. Then, these areas are changed into landslide and non-landslide points so as to extract the FR maps of the nine landslide factors. Then a linear relationship is established between training landslides and landslide factors in SPSS. Based on this relationship, the final landslide susceptibility map is prepared using LR equation. The success-rate and prediction-rate of FR model were 74.8% and 73.5%, while in case of LR model these were 75.7% and 74.5% respectively. A close similarity in the prediction and validation rates showed that the model is acceptable. Accuracy of LR model is slightly better in predicting the landslide susceptibility of the area compared to FR model.展开更多
This paper describes a new, highly modular, simulation tool named ＂PVLab＂ and developed by the GREMAN laboratory. It is designed to assist the designer in the sizing ofPV （photovoltaic） installations. The programm...This paper describes a new, highly modular, simulation tool named ＂PVLab＂ and developed by the GREMAN laboratory. It is designed to assist the designer in the sizing ofPV （photovoltaic） installations. The programming structure and physical models implemented within this tool are described, and several case studies are proposed to highlight its relevance. The predicted yearly electrical energy production of grid-connected PV plants is discussed. In particular, the predicted performance of such plants is compared with that given by the PVsyst software. PVLab has a high level of flexibility, allowing its physical models and databases （e.g., meteorological data） to be modified according to the user＇s needs. This is made possible through the use of expertise applied to all of the computing steps, and to the MATLAB development environment. The user＇s ability to control the source code itself will allow much greater progress to be made in the field of renewable energy applications than with PVsyst, which is currently the commercial reference.展开更多
This study aimed to contribute in establishing an international journalism model of professionalism in the production of the news. The main purpose is to explore the degree to which this model predicts the professiona...This study aimed to contribute in establishing an international journalism model of professionalism in the production of the news. The main purpose is to explore the degree to which this model predicts the professional values in the media content. In particular, this model was tested on the content of a leading news organization in the Middle East, AI Jazeera, to identify whether or not AI Jazeera reflected professional values in news production or other non-professional values. A total of 592 news stories--234 from AJE and 358 from AJA--published from January I, 2014, to April 30, 2014, were analyzed. The findings of this study indicate that AI Jazeera reflects professional values to a substantial degree. The professional values were reflected highly and nearly two thirds of the stories had professional values in the content. The chi square tests shows there are frequency/percentage differences, but overall the patterns are similar, with no statistically significant differences in the AJA and AlE. Scholarly implications, future studies and limitations were presented in this study.展开更多
Grey system theory has been widely applied to many domains such as economy, agriculture, management, Social Sciences and so on. Based on the theory of grey system, this paper established GM（1,1） grey predict model f...Grey system theory has been widely applied to many domains such as economy, agriculture, management, Social Sciences and so on. Based on the theory of grey system, this paper established GM（1,1） grey predict model for the first time to forecast The number of Scitech novelty search item and The staff number of Sci-Tech Novelty Search. The predicting results are almost close to the actual values, which shows that the model is reliable so that the models could be used to forecast the two factors in the future years. The study will help the scientific management of Sci-Tech Novelty search work for Novelty search organizations.展开更多
文摘本文研究利用基于新能源需求响应的可再生能源集成系统(Renewable Integrated Energy System,RISE)多能源云储能规划,以提高能源系统的效能。构建了多能源云储能模式的基本架构,包括在云储能模式中2个主体交互模型和考虑多能源云储能的能源集线器结构。在此基础上,设计用户侧充放能优化决策模型并提出相应的求解算法,以优化用户侧充放能。研究发现,在实际应用中,采用这种基于新能源需求响应的多能源云储能规划能够减少能源浪费,提高能源利用率,同时满足用户需求。该研究对推动清洁能源的可持续发展、提高能源系统的智能化水平具有重要意义。
文摘Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarpment where landslide problem is frequent due to steep slope, complex geology, rift tectonics, heavy rainfall and seismicity. In order to tackle this problem, preparing a landslide susceptibility map is very important. For this, GISbased frequency ratio(FR) and logistic regression(LR) models have been applied using landslide inventory and the nine landslide factors(i.e. lithology, land use, distance from river & fault, slope, aspect, elevation, curvature and annual rainfall). Database construction, weighting each factor classes or factors, preparing susceptibility map and validation were the major steps to be undertaken. Both models require a rasterized landslide inventory and landslide factor maps. The former was classified into training and validation landslides. Using FR model, weights for each factor classes were calculated and assigned so that all the weighted factor maps can be added to produce a landslide susceptibility map. In the case of LR model, the entire study area is firstly divided into landslide and non-landslide areas using the training landslides. Then, these areas are changed into landslide and non-landslide points so as to extract the FR maps of the nine landslide factors. Then a linear relationship is established between training landslides and landslide factors in SPSS. Based on this relationship, the final landslide susceptibility map is prepared using LR equation. The success-rate and prediction-rate of FR model were 74.8% and 73.5%, while in case of LR model these were 75.7% and 74.5% respectively. A close similarity in the prediction and validation rates showed that the model is acceptable. Accuracy of LR model is slightly better in predicting the landslide susceptibility of the area compared to FR model.
文摘This paper describes a new, highly modular, simulation tool named ＂PVLab＂ and developed by the GREMAN laboratory. It is designed to assist the designer in the sizing ofPV （photovoltaic） installations. The programming structure and physical models implemented within this tool are described, and several case studies are proposed to highlight its relevance. The predicted yearly electrical energy production of grid-connected PV plants is discussed. In particular, the predicted performance of such plants is compared with that given by the PVsyst software. PVLab has a high level of flexibility, allowing its physical models and databases （e.g., meteorological data） to be modified according to the user＇s needs. This is made possible through the use of expertise applied to all of the computing steps, and to the MATLAB development environment. The user＇s ability to control the source code itself will allow much greater progress to be made in the field of renewable energy applications than with PVsyst, which is currently the commercial reference.
文摘This study aimed to contribute in establishing an international journalism model of professionalism in the production of the news. The main purpose is to explore the degree to which this model predicts the professional values in the media content. In particular, this model was tested on the content of a leading news organization in the Middle East, AI Jazeera, to identify whether or not AI Jazeera reflected professional values in news production or other non-professional values. A total of 592 news stories--234 from AJE and 358 from AJA--published from January I, 2014, to April 30, 2014, were analyzed. The findings of this study indicate that AI Jazeera reflects professional values to a substantial degree. The professional values were reflected highly and nearly two thirds of the stories had professional values in the content. The chi square tests shows there are frequency/percentage differences, but overall the patterns are similar, with no statistically significant differences in the AJA and AlE. Scholarly implications, future studies and limitations were presented in this study.
文摘Grey system theory has been widely applied to many domains such as economy, agriculture, management, Social Sciences and so on. Based on the theory of grey system, this paper established GM（1,1） grey predict model for the first time to forecast The number of Scitech novelty search item and The staff number of Sci-Tech Novelty Search. The predicting results are almost close to the actual values, which shows that the model is reliable so that the models could be used to forecast the two factors in the future years. The study will help the scientific management of Sci-Tech Novelty search work for Novelty search organizations.
