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[Display omitted] • PCM energy storage and PV/T coupled multi-source heat pump systems were combined. • The thermal performance, energy efficiency, and economy of the system were analyzed. • The performance of paraffin C17 and water as energy storage materials were compared. • The performance of six low-temperature PCMs applied to the system were analyzed. • Compared to the existing system, it saves 56 % of energy and 27.7 % of operating costs. To improve the application of renewable energy in the heating zone, as well as to address the limitations of air and water source heat pump. The study presents a PV/T (photovoltaic/thermal) coupled air–water source heat pump system integrated with phase change energy storage. A theoretical analytical model and TRNSYS simulation model of the system were developed to evaluate the thermal performance, energy efficiency and economics of the system. The performance of phase change energy storage was compared with that of water storage, and the effect of different phase change materials on the system characteristics. The results show that the coupled system achieves a seasonal performance factor of 2.3, a 56 % reduction in energy consumption, and a 27.7 % reduction in operating costs compared to a conventional gas boiler system. Comparative analysis with the water storage system showed that the system equipped with phase change materials performed well in terms of energy consumption, operating costs and heating stability. In addition, the density of the phase change material has a biased effect on the overall performance of the system. This paper can provide a reference value for the study of renewable energy heating systems in cold zone. [ABSTRACT FROM AUTHOR]

Summary: Access to energy has increasingly been provided by the Chinese Government via new alternative energy sources known as renewables in recent years. Meanwhile, the development and use of environmentally friendly renewables gradually become the basic requirements for the sustainable development in the future society. The integration of blockchain technology with distributed photovoltaic (PV) energy may break the existing pattern where the production, transportation, distribution, and sales of energy are centralized. This paper first reviews the current overall situation of China's distributed PV and further analyzes the policy environment with respect to the development of distributed PV. On the basis of the analysis of the status quo, the paper then discusses the internalities (strengths and weaknesses) and the externalities (opportunities and threats) that have driven the development of China's distributed PV by illustrating the SWOT analysis. The data structure and characteristics of blockchain are analyzed to identify the application mode of blockchain technology in the distributed PV industry for the first time. Through our research, some conclusions and policy proposals are finally put forward to provide support to the formulation of related policy in the Chinese Government and industry association. [ABSTRACT FROM AUTHOR]

Chinese electricity market has undergone twice reforms since 2002. However, the current electricity market is still partially irrational in electricity pricing mechanism. Furthermore, the utilization of renewable energy is inefficient in western regions. From the perspective of market participants, electricity retailers are new entrants in deregulated electricity market. In this spot electricity market, they are faced with various challenges and opportunities. Thus, this paper introduces an inter-regional power transaction model based on bottom-up modeling. There are mainly three parts in this paper: ⑴ It examines the existing problems and achievements in the twice reforms, and introduces the participants of cooperative game in a spot market. ⑵It proposes an inter-regional electricity transaction model to illustrate the new pricing mechanism. ⑶ Based on cooperative game theory, it quantifies how costs, electricity prices and benefits affect the behavior of retailers in a spot market with some reasonable economic assumptions. What is novel about this research is that the proposed transaction model analyzes electricity retailers' behaviors in a spot market. The cooperative game model improves electricity retailer's competitiveness in a spot market, and is of great theoretical and practical significance for the reform and development of China's electricity market. [ABSTRACT FROM AUTHOR]

Among the regulatory policies, feed-in tariffs (FIT) and renewable portfolio standards (RPS) are the most popular to promote the development of renewable energy power industry. This paper uses system dynamics (SD) to establish models of long-term development of the renewable energy power industry under FIT and RPS schemes, and provides a case study of China's wind power industry by using scenario analysis method. The model, on the one hand, not only clearly shows the complex logical relationship between the factors but also reveals the process of coordination between the two policy tools in the development of the renewable energy power industry. On the other hand, it provides a reference for scholars to study similar problems in different countries, thereby facilitating an understanding of the renewable energy power's long-term sustainable development pattern under FIT and RPS schemes, and helping to provide references for policy-making institutions. The results show that the integrate implementation of FIT and RPS can promote long-term and rapid development of China's wind power industry given the constraints and actions of the mechanisms of RPS quota proportion, the tradable green certificates (TGC) valid period, and fines. In addition, in the period of the construction of the TGC market, RPS quota growth rate and fine have a no significant effect on industrial development, however, with TGC market game becoming more and more fierce, both of them have a significant positive impact on the long-term development of the industry. TGC valid period has little effect on industrial development in our study. At the end of the paper, policy implications are offered as references for the government. [ABSTRACT FROM AUTHOR]

As an important energy base of China, Xinjiang is the key part of the “Silk Road” economic belt development strategy and is in an superior position. This paper analyzes the problems exist in the sustainable energy industry based on the distribution status of sustainable resources of Xinjiang. The evaluation index system of the application level of Renewable Energy Systems (RESs) is discussed using the wind farm as an example. Besides it investigates the advantages and disadvantages of the development process of each node in the “Silk Road” economic belt areas according to the current situation of the resources, economic and social development. Suggestions for the development of each area are proposed in the end. This paper will contribute to the sustainable development of renewable energy industry and economy in Xinjiang. [ABSTRACT FROM AUTHOR]

Abstract Theses on China's low-carbon economy focus on the driving forces of carbon emissions, energy–carbon efficiency, and the carbon–economy nexus. Meanwhile, comprehensive frameworks that assess China's green economy and also analyze its driving forces are lacking. This paper constructs a green productivity index based on the Global Malmquist–Luenberger productivity index to evaluate the development of the low-carbon economy in China. A panel vector auto-regression model is adopted to further analyze the endogenous interactions and dynamic relationships among aspects of the green economy and its influencing factors. Empirical results show that China has seen a balanced development of green economic growth in 2000–2016, achieved in a series of clear stages. To maintain the sustainable growth of the low-carbon economy in the future, China must rely more on technological progress. This research also makes some important discoveries that have not been found in previous studies: the impact of China's industrial structure and energy consumption structure on the green economy are short term, having a duration of impact of approximately four years. Finally, we provide an assessment of provincial green economy development and describe the corresponding policy implications. Graphical abstract Image Highlights • A comprehensive analysis of China's green economy. • A slack-based Global Malmquist–Luenberger index is adopted to calculate the Green Productivity Index in China. • The stage characteristics of green economic development are identified. • A panel vector autoregressive model is used to analyze the interactions among aspects of the environmental economic system. • The findings that the impact duration of energy structure, industry structure, and urbanization on the green economy is about four years. [ABSTRACT FROM AUTHOR]

The main goal of this paper is to argue for the necessity and significance of studying the distributional employment impacts of renewable and new energy development (RNE). Based on the comprehensive review of the methodology and conclusions of existing literatures, this paper builds up an extended input–output model to study RNE’s distributional employment impacts on gender and personnel structure. The case study of China׳s power sector in this paper affirmed earlier doubts that RNE development will indeed aggravate the gender inequality problem and add to the level of mismatch between the structure of labor demand and supply, causing structural unemployment problems. The quantitative analysis in this paper outlined here implies that from 2011 to 2020 the development of RNE will bring about 7 million employment gains, but only 81.8% of which can be realized due to the mismatch problem. The study of China may alert other countries to be less-optimistic about RNE’s employment impacts and reaffirm the need to carry out the distributional employment impacts analysis. This paper concludes with policy suggestions such as providing suitable training and equal promotion opportunities for women, offering courses and vocational trainings to RNE-related majors, in order to reduce the structural unemployment problem and further speed up the development of RNE. [ABSTRACT FROM AUTHOR]

The objective of this study is to trace and quantify the sources of rebound effect for different energy sources in China. This paper decomposes the economy-wide rebound effect into 135 production sector-level rebound effects and five final demand components. The sector-level rebound is further decomposed into output effect and substitution effect. A two-stage decomposition method and a static computable general equilibrium model are developed to achieve this. Five types of energy-specific efficiency improvements are introduced, respectively, in all the production sectors. Results show that improving efficiency of using coal leads to the smallest macro-level rebound. For rebound decomposition, four findings are generalized. First, final consumption shows larger impact on the rebound of secondary energy sources than on primary energy sources. Second, production sectors that are big user of the efficiency-exposed energy source are expected to be key rebound contributor. Third, energy-producing sectors make negative rebound contribution. Results also show that, substitution effect is the predominant mechanism that triggers sector-level rebound. Policy implications are also discussed. [ABSTRACT FROM AUTHOR]

Under the global implementation of low-carbon economy, the development of renewable energy becomes an important way of energy saving and emission reduction. Multi-criteria decision-making (MCDM) techniques are gaining popularity in renewable power sources (RPS) evaluation since this process involves many conflicting criteria. Classical MCDM techniques assume that decisions are conducted in a deterministic environment and decision-makers (DMs) are completely rational while facing with investment risks. However, these hypotheses are not supported in the RPS selection. Fortunately, fuzzy set theory enables to cope with vagueness of evaluations in decision-making process, and cumulative prospect theory can reflect the risk preference of DMs and describe the actual behavior of them. Therefore, in this paper, a fuzzy MCDM technique based on cumulative prospect theory is proposed for selecting the most appropriate RPS in China. A case study in China is carried out to illustrate the rationality and feasibility of the proposed method. The results show that the solar PV is determined to be the best one in China, but the optimal alternative is sensitive to the prospect parameters. This research provides insightful information for the public investors with different risk preferences to evaluate the RPS and select the most appropriate one under uncertain environment. [ABSTRACT FROM AUTHOR]

In an effort to address climate change, in 2013 China launched the world’s largest government-driven carbon emission reduction programme, the National Low Carbon Industrial Parks Pilot Programme (LCIPPP). This paper analyses this newly developed pilot program. To deepen our understanding of the causes and the impact of industrial park CO 2 emissions, we use the STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model and data from 20 pilot industrial parks involved in the LCIPPP for the period 2012–2016. This study quantitatively evaluates the effect of CO 2 emissions on output, energy structure, energy intensity, industrial structure, R&D intensity, and population change in different regions and nationally through an elasticity coefficient method. The results confirm that an increase in output and energy intensity is a dominant contributor to the growth of CO 2 emissions whereas an increase of the share of tertiary industry and R&D intensity has significant effects on reducing CO 2 emissions. The elasticity of energy intensity and renewable energy consumption on CO 2 emissions in the eastern region of China is the highest, indicating that using renewable energy to reduce CO 2 emissions for the industrial parks is more effective in the eastern region as compared to the central and western regions of the country. The elasticity of population is significantly negative in both the central and western areas while it is positive in eastern part of China, thereby illustrating that promoting labour intensive industries will be an effective way to reduce CO 2 emissions for the industrial parks in China’s central and western regions. Our study reveals that differentiated low carbon development pathways should be adopted. Concrete policy implications for reducing CO 2 emissions are also provided. [ABSTRACT FROM AUTHOR]

With the limiting supply of fossil fuel and the beneficial impact of technological innovation on renewable energy costs, PV power generation is increasingly considered a promising way to generate renewable power. Under the support of the national emerging industry, China's PV industry has experienced a dramatic development over recent years, catapulting into a vital position in the world PV market. The newly installed PV capacity has led to cost reductions. This paper chooses the methodology of techno-economic evaluation to analyze current market application of residential PV power generation, including grid-connected and off-grid systems. One of the main innovations is choosing five Chinese cities in different areas of solar radiation as research objects, which enables regional differentiation in calculating levelized cost of energy (LCOE). The results show that grid-connected PV systems with 3 kW PV modules can meet the electric demand of a 60–90 m 2 residential building. The capacity of off-grid systems are 5–10 kW, which is determined by local solar radiation. By incorporating a learning curve, we forecast that off-grid PV systems for each of the five cities will reach grid parity over the next several decades. The estimation is used to offer policy recommendations for PV market diffusion in China. [ABSTRACT FROM AUTHOR]

Abstract: The enhancement of sustainability of hydrogen supply chain is of vital importance for the stakeholders/decision-makers to design a sustainable hydrogen supply chain. The objective of this paper is to develop a method for prioritizing the influential factors, identifying the key driving factors that influence the sustainability of hydrogen supply chain and mapping the cause–effect relationships to improve the sustainability of hydrogen supply chain. In this paper, thirty seven criteria in four aspects including economic, technological, environmental and societal aspects are considered for enhancing the sustainability of hydrogen supply chain, and decision making trial and evaluation laboratory has been used to analyze the relationships among these criteria. The status of hydrogen supply chain in China has been studied by the proposed method, and the results are consistent with the actual conditions. It could be concluded that the proposed method is feasible and could be popularized to some other cases. [Copyright &y& Elsevier]

Abstract: With rapid urbanization and industrialization, China has become both the largest energy consumer and CO2 emitting country in the world. As a clean and low-carbon energy source, renewable energy is a good choice to substitute for the exhausted fossil energy. The Chinese central and local governments have made a series of policies and optimistic plans to promote a rapid development of renewable energies. China′s renewable energy development has become a key to the sustainable development of socio-economic system. Unlike most of the current studies which mainly identified the challenges regarding policies and technologies around renewable energy or performed specific analyses for a certain kind of renewable energy, this paper summarizes the spatial disparity and consistency among the major renewable energies, coal resources, energy consumption and its major influencing factors in China, and reviews the positive and negative environmental impacts of major renewable energies. Based on the geographical and environmental perspectives, this paper recommends that the Chinese government: constructs the national energy production bases according to the resource distribution; integrates different energies on the basis of their natural features and spatial consistency; adjusts the overall layout of socio-economic development consistent with renewable energies; and promotes a moderate renewable energy development to maximize the environmental benefits. [Copyright &y& Elsevier]

The ecological protection project of substituting small hydropower for fuel (SSHF) in China is to consolidate the achievements of conceding the land to forestry and natural forest protection, solve the problems of the peasants' fuel and rural energy, protect the ecological environment, and promote the comprehensive development of rural economy and society. It is of great importance to the sustainable development of China in the 21st century. This paper provides a survey of substituting small hydropower for fuel in China. Over the last ten years, using small hydropower to replace the rural living fuel in China has resulted in great fruits. By the end of 2013, 252 SSHF projects had been completed in China, and the newly installed capacity of the SSHF power plants had reached 564 MW (MW). The demand of 1.593 million rural residents for living fuel and energy had been met in a long term, 6.29 million ac-res of the forest area had been protected, and the emission of a large amount of pollutants had been decreased. Moreover, many SSHF projects all over the country are still under construction. With regard to the challenges existing in the development course, some suggestions have been proposed. Implementation of the SSHF project will help realize the harmonious coexistence between human beings and the nature in China. [ABSTRACT FROM AUTHOR]

Abstract: There are many kinds of methods to estimate the energy requirement or fuel consumption in the optimal design and minimize the life cost of a building. The bin method is one of the most popular ways to estimate the energy performance of a building, which is based on the hourly-based outdoor dry-bulb temperatures of all days in a whole year. There is lack of information about the bin weather data in China. In this paper, the ambient temperature bin data for 26 cities in China are generated. Based on the method used in this paper, the bin data can be calculated with the long-term daily weather record or TMY weather data, the deviation between them is acceptable. The bin data given in this paper may have the positive impact on building energy conservation in China. [Copyright &y& Elsevier]

Renewable energy is believed to be the central issue in sustainable development. Literatures on renewables׳ costs are rather sparse, especially on costs of integration and system balancing. The objective of this paper is to fill the research gap by providing an assessment for the cost of China׳s grid-connected renewable energy development and analyze its sharing between different stakeholders. Due to China׳s pricing mechanism of renewable energy and their cost decreasing potential, the pricing model of feed-in tariff and dynamic technological learning processes are employed. In the estimation of purchasing cost, the positive bias is overcome by considering China׳s energy-saving dispatching policy. The results suggest that purchasing cost would be 32.57–40.80 billion Yuan over 2012–2020, and peak in 2017. Grid integration costs which further involve costs of grid infrastructure and system balancing are also investigated. We find that grid infrastructure will cost 27.88 billion Yuan by 2015 and soar to 45.32 billion by 2020, while system balancing will cost 31.49 billion Yuan in 2015 and 63.97 billion Yuan in 2020 among which a substantial part (over 60%) comes from electricity loss in energy transfer. The different parts of these costs are underwritten by disparate participants due to China׳s renewable energy policies and its institutional arrangement. Purchasing cost is shared by power consumers through RES; the cost of grid infrastructure is mainly covered by grid enterprises; and there is no mechanism to specify how to share the cost electricity loss during system balancing which might become a major obstacle for system balancing. [ABSTRACT FROM AUTHOR]

Distributed generation (DG) units can provide approaches and methodologies for the utilization and development of renewable energy. Meanwhile, electricity pool (EP), as a mode which can adapt to China’s energy and power market, can effectively promote the market competition. After analyzing China’s energy and power market, this paper, combining characteristics of distributed generation units with electricity pool, proposes Base–Market–Assist (BMA) in the pool mode. BMA mode not only makes a rational division according to China energy resources’ endowment, but also utilizes agent operators to conduct operation management of distributed generation units, providing new methods for China renewable energy development in aspects of technology, market and policy. [ABSTRACT FROM AUTHOR]

Nowadays, renewable energy plays a vital role in the sustainable development of a society. In China, renewable energy power has developed rapidly since the implementation of Renewable Energy Act. Through a series of specific incentive measures, especially subsidy policies, China's renewable energy power has made great achievements both in technology and application. Based on the state-of-the-art of renewable energy power, this paper comprehensively analyzed the costs and benefits of renewable energy power subsidy in China. The analysis results show the cost of renewable energy power subsidy was 0.248 CNY/kWh between 2006 and April 2011, which was distributed among different renewable energy power types (including wind power, biomass power, and solar PV power) or categories (including electricity price, accessing-grid projects, and public independent renewable energy power system). On the other hand, the renewable energy power subsidy also brings benefits to different aspects of the society. Specifically, the environmental benefit amounted to 17.88 billion CNY, and the benefits of guaranteeing energy security, advancing technology innovation and promoting economic development were also noteworthy. [ABSTRACT FROM AUTHOR]

Subsidies to fossil-fuel consumption have made China's energy system fragile and unsustainable. It is necessary for China to reform fossil-fuel subsidies and reflect the resource cost and environmental cost in energy prices. Considering the life-cycle external costs, this paper estimates the scale of fossil-fuel subsidy and the true cost of renewable energy in 2010 and evaluates impacts of increasing renewable energy subsidies and phasing out fossil fuel subsidies on macro-economy and energy system in China based on scenario analysis. Simulation results show that the negative impacts on economic growth can be reduced from 4.460% to 0.432%, if only 10% of fossil fuel subsidies were removed. Increasing subsidies for renewable energy has positive impacts on macroeconomic variables. Although the economic benefits per unit of subsidies for renewable energy are lower than those for fossil fuels by 0.06-0.19 CNY, the revenue gap can be narrowed by shifting more subsidies from fossil fuels to renewables. Increasing subsidies for renewable energy helps optimize China's energy system in three ways: the first is making energy consumption structure cleaner; the second is improving energy efficiency; and the third is addressing the problem of imbalanced distribution and consumption of energy. [ABSTRACT FROM AUTHOR]

Abstract: It is highly significant for China to improve its development of wind power. In order to promote the sustainable development, a more comprehensive evaluation of factors affecting the effectiveness of investment in the industry wind power is required to be conducted to formulate a relatively stable policy supporting mechanism for the development of wind power. Based on the green accounting framework, this paper evaluates a typical wind power project from economic, environment and energy alternative respects comprehensively. We simulate the main factors influencing cost and benefit of the wind power investment with the Monte Carlo method. Finally, we discuss how to promote wind power with respect to the concern of government, investors and environmentalists. [Copyright &y& Elsevier]

Abstract: Renewable energy is one of the possible solutions when addressing climate change. Today, large-scale renewable energy integration needs to include the experience to balance the discrepancy between electricity demand and supply. The electrification of transportation may have the potential to deal with this imbalance and to reduce its high dependence on oil production. For this reason, it is interesting to analyse the extent to which transport electrification can further the renewable energy integration. This paper quantifies this issue in Inner Mongolia, where the share of wind power in the electricity supply was 6.5% in 2009 and which has the plan to develop large-scale wind power. The results show that electric vehicles (EVs) have the ability to balance the electricity demand and supply and to further the wind power integration. In the best case, the energy system with EV can increase wind power integration by 8%. The application of EVs benefits from saving both energy system cost and fuel cost. However, the negative consequences of decreasing energy system efficiency and increasing the CO2 emission should be noted when applying the hydrogen fuel cell vehicle (HFCV). The results also indicate that developing renewable energy is crucial for transportation electrification. [Copyright &y& Elsevier]

Abstract: China has set ambitious goals to increase the use of renewable energy. Developing renewables in rural areas is also one of the most important energy strategies. This paper examines rural social acceptance of renewable energy deployment taking Shandong as a case study via a field questionnaire survey. Theory of planned behavior is adopted to establish an analytical framework, and a logit model is used to examine possible determinants of local social acceptance. The results show that rural residents are generally supportive renewable energy development given its positive impacts on environment. A stated willingness to pay more for renewable electricity is taken as a variable representing an individual’s behavioral intention. The probability of occurrence of positive intention is found to increase with household income, individual knowledge level and belief about costs of renewable energy use but decrease with individual age. Residents with higher level of income are more likely to be willing to pay more for green electricity, so are the younger people. Enhancive knowledge and understanding about renewable energy (for instance, the cost) would be conducive to win public acceptance of renewable energy deployment. [Copyright &y& Elsevier]

Abstract: The Chinese government has made an important effort to diversify the country’s energy mix and exploit different sources of renewable energy. Although China’s installed wind power capacity has experienced a dramatic expansion over the past five years, electricity generation from wind power has not increased as expected. This paper aims to present the current status of wind generation in China and analyze the causes of the large discrepancy between installed capacity and generation. We find that this is mainly caused by the inadequacy of the power transmission grid, the absence of economic incentives to transmission and backup generation providers, and the lack of a generation-based renewable portfolio standard. [Copyright &y& Elsevier]

Abstract: Wind energy, as a reliable, natural and renewable electrical power supply, produces no emissions and so it is an excellent alternative to conventional, more heavily polluting fuels in the long term based on the worldwide concern about the environment and energy supply. Wind energy resources in China are affluent, but its distribution are uneven, centralized, and far from both the utility and the high electricity demand markets. This made China''s onshore wind power development have such characteristics as large scale, high centralization and far transmission, which is different with that in Europe, where the characteristics are even distribution, decentralized. In past two decades, considering the economic, technical and environmental benefits of wind power, China has given priority to its development. Besides the dramatic growth of large scale grid-connected wind power, household-scale wind power has been used most successfully in remote rural regions in China. Therefore, the development of wind power will be of great importance to alleviate the energy crisis and environmental pollution resulting from the rapid economic growth of China in the future. In this paper, the current development of wind energy utilization in China is investigated, and some critical barriers are discussed. Finally, the perspective of wind energy utilization is presented, where focuses are placed on seven wind power bases. [Copyright &y& Elsevier]

Abstract: This paper surveys China''s renewable energy economy, focusing particularly on renewable energy laws and programs, the lessons that can be learnt from the current literature, and the implications of that literature. Gaps in the literature on China''s renewable energy economy include the need for more comprehensive econometric studies. The literature may also benefit from more collaboration between renewable energy economists and agricultural economists. [Copyright &y& Elsevier]