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Aiming at the complementary characteristics of wind energy and solar energy, a windsolar-storage combined power generation system is designed, which includes permanent magnet direct-drive wind turbines, photovoltaic arrays, battery packs and corresponding converter control strategies. Simulation analysis is carried out by Matlab/Simulink platform, and the results show that the model of wind and solar storage system is correct and effective, and the grid connection control can be completed. [ABSTRACT FROM AUTHOR]

Abstract Interactive innovation is the hotspot in the field of innovation. However, after consulting the information, it is found that the interaction innovation focuses on the interaction between the enterprise and the consumer and its effect. In this paper, 300 manufacturing enterprises in 15 sub-provincial cities were selected to conduct a questionnaire. We use the gray correlation to forecast manufacturing industry from 2016 to 2020 based on the total energy consumption and quantify the interactive innovation of manufacturing between enterprises and employees by Likert five-point scale. Using structural equation reveal the impact of interactive innovation on the production of energy-saving transformation. The conclusion shows that there are two types of innovation ,which are active and passive, and two kinds of interactive innovation can promote the transformation of production behavior, but neither of them has been paid attention. In addition, if the interactive innovation does not guide the policy properly, enterprises will enable to form a passive interactive innovation and inhibit the influence on initiative innovation. [ABSTRACT FROM AUTHOR]

Abstract In this paper, the Yangtze River Delta city group for the study, first, using data envelopment analysis estimates the energy efficiency of the city, and found that the Yangtze River Delta city group showing lower energy efficiency overall. Within the urban agglomeration 26 prefecture-level cities, Zhoushan is the only one achieving relatively effective energy efficiency. The spatial heterogeneity of energy efficiency in the urban agglomeration in the Yangtze River Delta is then measured using the Moran's I index (including local), confirming the existence of low-energy efficiency clusters centered around Hefei and clusters of high-energy agglomeration centers centered around Hangzhou. Then the spatial error model is used to test the various factors that affect the energy efficiency of the urban agglomeration in the Yangtze River Delta based on the circumvention of spatial heterogeneity. The conclusion shows that there is a positive correlation between industrial structure, investment, scale, foreign trade and energy efficiency. Government influence and system is negatively related to energy efficiency. Finally, based on the conclusion, this paper puts forward the policy suggestion of promoting the energy efficiency of the urban agglomeration in the Yangtze River Delta. [ABSTRACT FROM AUTHOR]

Abstract With the growth of economy, the impact of industrial transfer on carbon emissions gradually appears in the provinces. Employing the spatial econometric model and the data of provinces from 2006 to 2015, it is found that there is a significant correlation between industrial carbon emissions and the spatial distribution in China. The local space indicates the high concentration of carbon emissions includes Hebei, Inner Mongolia Liaoning, Jiangsu, Zhejiang, Shandong, Henan, Shanxi (Jin) and Shanxi (Shan) and so on. The industrial transfer in the developed regions deepens the spatial linkage between the economy and the carbon emissions in the provinces, so the spill over effect of carbon emissions gradually appears. This paper puts forward the addition of Inner Mongolia and Liaoning to the existing Beijing-Tianjin- Hebei regional linkage reduced efflux mechanism, adding Shandong to the existing Jiangsu - Zhejiang - Shanghai area linkage reduced efflux mechanism and starting the Henan-Shanxi-Shaanxi regional linkage emission reduction to prevent them from using the backward production and transferring the spill over effect cause by the industrial carbon emissions. [ABSTRACT FROM AUTHOR]

Abstract In the process of urbanization, the rational project of urban scale is conducive to the improvement of electricity intensity, and the establishment of green cities and environment-friendly society. This paper selects the data of 13 prefecture-level cities in Jiangsu Province from 2005 to 2015, and establishes a dynamic panel model to conduct threshold regression analysis. The results show that there is an inverse U-shaped nonlinear relationship between the urban scale and the electricity intensity. In other words, as the urban scale expands, the electricity intensity increases firstly and then decreases. From the perspective of optimizing electricity intensity, this paper discusses the rational city scale under the optimal conditions of electricity intensity, and provides practical reference and decision support for the construction of a modern large-scale city during the process of urbanization in Jiangsu Province. [ABSTRACT FROM AUTHOR]

In the background of national energy administration conduct the research on electricity supply and demand equilibrium analysis, this paper forecast variation trend of Jiangsu province's electricity demand, structure and characteristic, combine the construction scale of planned electricity and external power, make the equilibrium analysis from the last year of twelfth-five to thirteen-five plan period. Results shows that Jiangsu province electricity demand growth slows down since industry structure adjustment, however, due to lack of energy resource, it still exist energy gap, specifically, 2017, 2020 has the gap of 18.9, 152.9,193 Billion Kw/h. Therefore, to ensure the demand of economic and society development, Jiangsu province need replenish certain electricity, and optimize the layout of electricity supply. [ABSTRACT FROM AUTHOR]

Based on the status quo of carbon emissions in USA and the international crude oil price fluctuations, this paper introduces control index and critical time of carbon emissions to find a new dynamic evolutionary model of carbon emissions of the States, deducing relative theories, such as Change Trends Theorem and Evolutionary Theorem. The critical time in the economic period is determined based on the evolutionary situation of the international crude oil price peaks, and it can be divided into four time intervals. Least-square method is used to analyze the dynamic evolutionary system of carbon emissions in the four time intervals with data provided by the international energy agency (IEA). Based on the nonlinear dynamic evolutionary model, the paper predicts carbon emissions by means of control index and control function, which facilitates carbon policy regulation and the system's external influence, and creates unique dynamic evolutionary factors of carbon emissions corresponding with the real situation of the United States. The financial crisis and shale gas large-scale mining have significantly changed America's energy supply structure. With the economy running upward, carbon emissions have a tendency to increase again. To achieve the goal of its reduction, different policies should be adopted by the US government. In this essay, the influence of the control index and the effect of critical time of carbon emissions to control function are analyzed. In addition, the dynamic evolutionary model is introduced and evolutionary scenario analysis is also conducted by modulating evolutionary coefficient and critical time. [ABSTRACT FROM AUTHOR]

Based on the status quo of carbon emissions in USA and the international crude oil price fluctuations, this paper introduces control index and critical time of carbon emissions to find a new dynamic evolutionary model of carbon emissions of the States, deducing relative theories, such as Change Trends Theorem and Evolutionary Theorem. The critical time in the economic period is determined based on the evolutionary situation of the international crude oil price peaks, and it can be divided into four time intervals. Least-square method is used to analyze the dynamic evolutionary system of carbon emissions in the four time intervals with data provided by the international energy agency (IEA). Based on the nonlinear dynamic evolutionary model, the paper predicts carbon emissions by means of control index and control function, which facilitates carbon policy regulation and the system's external influence, and creates unique dynamic evolutionary factors of carbon emissions corresponding with the real situation of the United States. The financial crisis and shale gas large-scale mining have significantly changed America's energy supply structure. With the economy running upward, carbon emissions have a tendency to increase again. To achieve the goal of its reduction, different policies should be adopted by the US government. In this essay, the influence of the control index and the effect of critical time of carbon emissions to control function are analyzed. In addition, the dynamic evolutionary model is introduced and evolutionary scenario analysis is also conducted by modulating evolutionary coefficient and critical time. [ABSTRACT FROM AUTHOR]