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Storage energy is an effective means and key technology for overcoming the intermittency and instability of photovoltaic (PV) power. In the early stages of the PV and energy storage (ES) industries, economic efficiency is highly dependent on industrial policies. This study analyzes the key points of policies on technical support, management drive, and financial support. Focusing on the efficiency of PV power and the power load of users, including households and enterprises, in Shanghai City over 24 h in 2016, this study analyzes the costs, benefits, internal rates of return, and investment recovery periods of distributed PV (DPV) and ES systems in the current policy context. This study also discusses the influences of various policy variables, including the ES battery capacity, the peak-valley price ratio, feed-in tariffs for DPV, and the ratio of grid-connected surplus PV power, on economic efficiency. The results show that in China's current policy context, both household and enterprise users of PV power would gain some economic benefits if PV systems were fitted with aqueous sodium-ion batteries of an appropriate capacity. Finally, this study offers some additional government policy suggestions.

In the readout circuits of the two-dimensional (2-D) resistive sensor arrays, various auxiliary electrical components were used to reduce their crosstalk errors but resulted in increased circuit complexity. Readout circuits with low-complexity structures were necessary for wearable electronic applications. With only several resistors and a microcontroller, readout circuit based on resistance matrix approach (RMA) achieved low complexity but suffered from small resistance range and large measurement error caused by the output ports’ internal resistances of the microcontroller. For suppressing those negative effects, we firstly proposed an improved resistance matrix approach (IRMA) by additionally sampling the voltages on all driving row electrodes in the RMA. Then the effects of the output ports’ internal resistances and the analog-to-digital converter’s accuracy for the RMA and the IRMA were simulated respectively with NI Multisim 12. Moreover, a prototype readout circuit based on the IRMA was designed and tested in actual experiments. The experimental results demonstrated that the IRMA, though it required more sampling channels and more computations, could be used in those applications needing low complexity, small measurement error and wide resistance range.

Based on an analysis of 9 solar cell enterprises from 2008 to 2014, this paper examined the Chinese solar cell industry's market structure and performance. The empirical results reveal that China's photovoltaic (PV) cell market supports the X-efficiency structure hypothesis and that enterprises with higher levels of production technology and management earn higher profits. However, market concentration, market share, and scale efficiency are not significantly related to corporate performance. In addition, reasonable and effective control of the debt-to-assets ratio of such enterprises is conducive to revenue improvement. Based on these conclusions, this paper offers suggestions on how to improve the performance of the PV cell industry from the perspectives of enterprise and government. The research results have substantial significance for the promotion of enterprise reform and the optimization of industrial resource allocation.

Most of the existing biomass power plant location models and supply chain designs are developed only for the minimization of logistics cost, having neglected the pollutant emissions during biomass feedstock transportation. How to achieve a win-win situation between the two for optimal power plant locations has become a main research direction. This paper, integrating the economic and environmental dimensions of sustainable development, develops a bi-objective 0–1 integer programming model for optimal locations and corresponding feedstock supply chain designs of biomass power plants. Having made improvements to the existing location models, this model is developed basing on the relevant research data of Chinese biomass power generation. A numerical example analysis is done in order to validate the model and to highlight the practicality and effectiveness. It is expected that this model may provide scientific guidance for biomass power plant siting and improve their environmental performance while still remaining economically competitive.

Many countries in the world have implemented many price support policies to promote the development of renewable energy, and there are evolutionary processes between different policies at different stages of national development. Existing literature has less research on the internal mechanism and alternative process of renewable energy price policies’ evolution process. In view of this, this paper innovatively introduces the classic model of innovation diffusion theory, the Bass model, into the renewable energy price mechanism, and improves it on the basis of the traditional Bass model, and then proposes a system dynamics (SD) simulation based on the improved Bass model to study the evolution process of the renewable energy price policies. This paper mainly studies the evolution process of the policies from feed-in tariff (FIT) to renewable portfolio standard (RPS), and takes China’s wind power industry as an example to simulate the model. The results show that FIT can effectively and quickly evolve to RPS based on the internal influence of the interaction among power generation enterprises and the external influence of government behaviors. All the power generation enterprises will implement RPS, and the amount of green power enterprises eventually grows steadily and slowly. In addition, increasing the decline rate of FIT subsidy and RPS unit fine can effectively promote the evolution of RPS policy, and also improve the amount of green power enterprises and the activity of the tradable green certificates (TGC) trading market.

Climate warming caused by carbon emissions is one of the most serious problems faced by human beings, and the carbon trading (CT) mechanism is an effective way to promote carbon emission reduction and achieve green and low-carbon development. Scholars have mainly studied the impact of CT on the energy economy system, and few scholars studied the game process and behavior strategies of government and power producers in the implementation of a CT mechanism. This paper will fill this gap. This paper firstly constructs the evolutionary game model of government and power producers based on CT, and then simulates the evolutionary process of game behavior strategies by establishing a system dynamics (SD) model, and finally studies the influence of government controllable key factors on system stability. The combination of evolutionary game and SD in our study not only clearly reveals the complex and dynamic evolution process of game models under bounded rationality, but also provides a qualitative and quantitative simulation platform for analyzing the dynamic game process between government and power producers. The results show that: (1) There is no evolutionarily stable strategy (ESS) in the game system between government and power producers under CT, and the system evolution is characterized by periodicity; (2) When the government implements dynamic subsidies or punitive measures, the mixed strategy of the game system has ESS; (3) Reducing the unit subsidy and raising the unit fine can both promote the participation of power producers in CT, but the former increases the probability of government supervision; thus, it is best to increase the fines when the government makes strategic adjustments, followed by reducing subsidies.

In recent years, Chinese Government paid more attention to the exploitation of offshore wind power, and it became an important trend in the development of wind power industry. However, the development of offshore wind power in China was still in the initial stage. Compared with land-based wind power, the development of off-shore wind power had not only weaknesses and uncertainties, but also strengths and opportunities. In order to research the development of offshore wind power, this paper summarized the aspects on policy, market, technology and development planning of offshore wind power in China, and then adopted SWOT method to analyze the influencing factors, which impact on the development of China's offshore wind power. At last, this article analyzed the internal and external factors that affect the golden period of offshore wind power development, and drew a conclusion that the golden period of offshore wind power in China will come in the future, and most likely around 2020.

China׳s wind power industry experienced rapid growth before 2009. However, the growing rate slowed down and the problem of wind curtailment was serious recent years. This paper focuses on the analysis of the turning point of China׳s wind power industry combing with life circle theory. With a panoramic view of status quo, based on the resource endowment, capacity development and future trends, we draw the following conclusions: (1) China׳s potential wind power reserves are still rich and the development of wind power industry will sustain growth for some period in the future. (2) As for market structure aspect, oligopolistic characteristic of China׳s wind power market is still obvious. The market share of China׳s wind power generation is not very high enough in the total generation market. (3) Turning point of China׳s wind power industry has not come yet and the slowing down of development speed at present is mainly caused by inappropriate government intervention. It is estimated the turning point of wind power industry will come around 2020.

Influenced by the international environment, price of photovoltaic (PV) products has continued to drop in recent years. The production enthusiasm of manufacturers was affected, and the market was in depression at once. To realize the expansion of domestic market, China has implemented many incentives since early 2009. This paper reviews the present status and development trend of the Chinese PV industry. It focuses on the turning point problem and draws the conclusions: First, there are still some obstacles to overcome, the key ones are the too low PV product price, industry overcapacity, unbalanced industrial demand and supply, cutbacks in foreign PV market and uncompetitive technologies. Second, the turning point of PV industry in China will come in the future if the problems in PV industry can be solved and the large-scale of the industry can be achieved. Third, the Chinese government is gradually clearing up the obstacles of the development of PV industry, and the turning point is on the way, maybe not later than 2020. At the end of the paper, suggestions are offered as references for the government.

With the increasing scarcity of fossil fuel resources, the demand for greenhouse gas reduction and environmental protection all over the world, developing bioenergy becomes one of the most important energy strategies. This paper introduces the current development situation of biomass power industry, discusses the dilemmas of this industry’s development in a perspective of industry chain and gives recommendations. Then it proposes the development strategy including development objectives, technology roadmap, and the related policy guarantee measures for the biomass power industry. Finally, we get the conclusion that in the future, with scientific and technological progress, China’s biomass power industry will be rapidly developed with a bright prospect, and the cost will be further reduced.

At present, countries around the world set off a round of upsurge of exploitation and utilization of geothermal energy. As one of renewable energy resources, geothermal energy has the advantages of great resource potential, low carbon emissions, widespread distribution, easy development and so on. China׳s geothermal resources are enormous and have huge potential for exploitation. However, due to the lack of reasonable industry planning and policies support, and lag of technologies, the industrial development speed and scale are far behind the wind, solar and biomass energy. The 12th Five-Year Plan for National Economic and Social Development of the People׳s Republic of China explicitly issues that in future China will vigorously develop the geothermal energy and provide more policy support for geothermal industry development from medium to longer term. This paper describes China׳s geothermal resource potential and status quo of geothermal industry, and analyzes the obstacles of the industry development. Then, it accordingly puts forward the development pattern of China׳s geothermal industry and gives out related countermeasures. At last, it outlines the prospects in this field.

This paper focuses on the relationship between bioenergy industry and energy security. The situation of fuel ethanol, biodiesel, biogas and biomass power industry of China in recent years has been introduced comprehensively. With a quick look at the existing bioenergy industrial development policies, combined with China's energy security situation, we drew the following conclusions: (1) the bioenergy industry is an effective way to achieve China's energy security; (2) as for energy substitution from cost aspect, China has already had the ability to make bioenergy substitute for fossil fuels; (3) from technical aspect, however, China's bioenergy technologies are not mature, this means that in a very long period of time, biomass and fossil energy will jointly develop in a mutually beneficial way.

With the rapid development of wind power, the conventional power auxiliary services have not met the requirements of wind power grid-connected power generation in full. In order to relieve the grid-connected and integration issues of wind power, wind power was put forward to participate in ancillary ser-vices on the basis of related research. Aiming at the feasibility problem of wind power auxiliary service, the paper builded the evaluation index system for wind power aux- iliary services firstly. Secondly, the article constructed the evaluation model of wind power auxiliary services based on structural equation model (SEM), and researched the identification and applica- tion of the SEM of wind power auxiliary services. Finally, the conclusion was presented.

Keyword: Energy Internet; Renewable energy; Energy power system. Abstract. In order to promote the large-scale use of distributed renewable energy and improve en- ergy efficiency, many countries started to pay close attention to the development of energy Internet. Europe, the United States, Japan and other developed countries has made some breakthrough in the field of energy Internet construction. The paper mainly analyzed and summarized the development of energy Internet. Some successful projects of energy Internet in the developed countries are intro- duced. And then the paper summarized the status quo and development plan of China's energy In- ternet. Finally, gave some conclusions for the paper. We held that China draw experience from the development of energy Internet in developed countries and find the development road for the con- struction of energy Internet according to practice of the nation

In recent years, the growth rate of wind power in China installed capacity has tended to be sta-ble, and the competition among wind power equipment manufacturers has become increasingly fierce. In order to analyze the industrial performance of wind power in China, the paper summarized the status quo of China’s wind power, and then used the Data Envelopment Analysis (DEA) model to analyze the industrial performance of China’s wind power from 2010 to 2014. We found that: during the analysis period, the industrial performance of wind power equipment manufacturing was best in 2010. Due to fierce competition between wind turbines manufacturers, the industrial performance was in the declining trend in the next three years. By 2014, the performance increased again, but did not reach the best state. Besides, the technical efficiency has been better than scale efficiency. 1 INSTRUCTION With the adjustment of energy structure, the renewable energy, especially the wind power, was facing a historic opportunity for development in China. In recent years, wind power industry itself has been also in the state of constant adjustment. The scale of projects approval, equipment tendering and projects construction of the wind power all has bigger growth. Besides, the grid-connected and integration issues of China’s wind power were also alleviated, due to the construction of UHV grid and the implementation of interconnection policy and subsidies policy. Therefore, the installed capacity of wind power in China maintained a rapid growth. At present, the market concentration degree of wind power manufacturing industry in China has been in a downward trend, but it is still higher [Yuanxin Liu, 2015]. According to the new installed capacity situation, the domestic market shares of the top 20 wind turbine manufacturers were about 90%. Although the market demand of domestic wind power grew steadily, the competition between wind power manufacturers was still fierce, and the overcapacity problem of wind power industry was stall serious. Both fierce competition and overcapacity have important influence on the industrial efficiency, so it is significant to research on the industrial performance of China’s wind power. In recent years, large numbers of scholars researched the China’s wind power industry from different aspects, such as wind power price and policy [Ping Lu, 2013] [Ting-Ting Mi, 2012], development bottleneck [Zhao Dong, 2009] [Hua BAI, 2012], sustainable development [Zheng-ming WANG, 2008] [Weidong Shi, 2011]and wind power industry innovation [Yuanying CHI, 2008] [Jorrit Gosens, 2013]. The research literatures of China’s wind Power industry have been comprehensive. Based on the exiting research literatures, the paper adopted the DEA model to analyze the industrial performance of China’s wind power.

These This paper selects 455 manufacturing firms in Shanghai and Shenzhen Stock Exchanges from 2007 to 2011 as study object, establishes a modified Cobb-Douglas production function, and empirically tests the cumulative effect of RD however, the promotion effect is not significant in 2011.

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