This page has only limited features, please log in for full access.

Unclaimed
Yan Xu
School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 05 August 2021 in Environmental Science and Pollution Research International
Reads 0
Downloads 0

Renewable energy plays a significant role in achieving energy savings and emission reduction. As a sustainable and environmental friendly renewable energy power technology, concentrated solar power (CSP) integrates power generation and energy storage to ensure the smooth operation of the power system. However, the cost of CSP is an obstacle hampering the commercialization of this emerging industry, so the paper studies the technical characteristics, economic analysis, and policy implications of CSP. This paper sorts out the relevant policies of CSP and uses the levelized cost of electricity (LCOE) model by considering financial parameters, investment parameters, operation and maintenance parameters, tax parameters, capacity parameters, etc., to analyze the economics of CSP. The model parameters are set by the actual situation of CSP projects. The economic evaluation of different technology types of parabolic trough (PT), solar tower (ST), secondary reflection ST, and linear Fresnel reflector (LFR) is carried out. The LCOE of PT project is 1.11 RMB/kWh (0.17 US$/kWh), the ST project is 0.93 RMB/kWh (0.14 US$/kWh), the secondary reflection ST project is 0.97 RMB/kWh (0.15 US$/kWh), and the LFR project is 0.92 RMB/kWh (0.14 US$/kWh). The results show that the grid parity era of CSP in China is within reach, and ST is the most potential technology type. Based on the results of economic analysis and the problems faced by CSP in China, this paper puts forward policy implications by preferential loans, tax incentives, and R&D fund support to promote the development of CSP.

ACS Style

Yan Xu; Jiamei Pei; Jiahai Yuan; Guohao Zhao. Concentrated solar power: technology, economy analysis, and policy implications in China. Environmental Science and Pollution Research International 2021, 1 -14.

AMA Style

Yan Xu, Jiamei Pei, Jiahai Yuan, Guohao Zhao. Concentrated solar power: technology, economy analysis, and policy implications in China. Environmental Science and Pollution Research International. 2021; ():1-14.

Chicago/Turabian Style

Yan Xu; Jiamei Pei; Jiahai Yuan; Guohao Zhao. 2021. "Concentrated solar power: technology, economy analysis, and policy implications in China." Environmental Science and Pollution Research International , no. : 1-14.

Research article
Published: 19 May 2021 in Environmental Science and Pollution Research
Reads 0
Downloads 0

As a new and cost-effective renewable energy power generation technology, offshore wind power is getting more and more attention. The development of offshore wind power industry is affected by policy-making, technology management, resources and environment, market supply and demand, and the relationship among the influencing factors is complex. This paper analyzes the factors that affect offshore wind power industry from a unique and comprehensive perspective. Fourteen factors are selected and interpretative structural model (ISM) is established to study the relationship between the influencing factors of offshore wind power industry. The results show that 14 influencing factors can be divided into five levels: the first level is the surface factors, including the economic incentive policy, operation mechanism, industrial chain, energy market mechanism, investment, and financing mechanism; the second and third levels are the intermediate factors, including generation cost, operation management, and offshore wind power technology; the fourth and fifth levels are deep-seated factors, including development planning and grid price, site selection, R&D investment, environmental protection policy, and offshore wind power supply. Deep-seated factors have a direct impact on the intermediate factors, the intermediate factors have an important impact on the surface factors, and the surface factors directly affect the development of offshore wind power industry. The influence of the 14 factors selected in this paper on offshore wind power industry is from bottom to top, from deep to shallow.

ACS Style

Yan Xu; Kun Yang; Guohao Zhao. The influencing factors and hierarchical relationships of offshore wind power industry in China. Environmental Science and Pollution Research 2021, 1 -16.

AMA Style

Yan Xu, Kun Yang, Guohao Zhao. The influencing factors and hierarchical relationships of offshore wind power industry in China. Environmental Science and Pollution Research. 2021; ():1-16.

Chicago/Turabian Style

Yan Xu; Kun Yang; Guohao Zhao. 2021. "The influencing factors and hierarchical relationships of offshore wind power industry in China." Environmental Science and Pollution Research , no. : 1-16.

Original paper
Published: 28 January 2021 in Clean Technologies and Environmental Policy
Reads 0
Downloads 0
ACS Style

Yan Xu; Zhijie Yang; Jiahai Yuan. The economics of renewable energy power in China. Clean Technologies and Environmental Policy 2021, 23, 1341 -1351.

AMA Style

Yan Xu, Zhijie Yang, Jiahai Yuan. The economics of renewable energy power in China. Clean Technologies and Environmental Policy. 2021; 23 (4):1341-1351.

Chicago/Turabian Style

Yan Xu; Zhijie Yang; Jiahai Yuan. 2021. "The economics of renewable energy power in China." Clean Technologies and Environmental Policy 23, no. 4: 1341-1351.

Research article
Published: 19 January 2021 in Environmental Science and Pollution Research
Reads 0
Downloads 0

With the deepening implementation of the energy revolution and the advent of the era in which renewable energy will be grid parity, China’s offshore wind power projects have gradually taking steps to shape a large-scale development. This paper reviews the relevant policies for offshore wind power, adopting the levelized cost of electricity (LCOE) model to conduct an economic evaluation of offshore wind power projects in six typical provinces in China. Among the six provinces studied in this paper, Hebei Province has the highest LCOE value of 0.87 yuan/kWh, and Fujian Province has the lowest LCOE value of 0.71 yuan/kWh; the LCOE results of offshore wind power projects in Hebei and Guangdong provinces are higher than the policy guidance price by 8.75% and 6.25% respectively; the LCOE value of the offshore wind power projects in the other four provinces are lower than the guidance price, and the average profit is considerable; the expected annual utilization hours and unit cost have varied impact on the LCOE value in different provinces. The results show that with the upcoming offshore wind power on-grid price bidding era, China’s offshore wind power grid parity era is just around the corner. Finally, this paper puts forward relevant policy suggestions, hoping to provide practical guidance for the promotion of offshore wind power technology in China.

ACS Style

Yan Xu; Kun Yang; Jiahai Yuan. Levelized cost of offshore wind power in China. Environmental Science and Pollution Research 2021, 1 -14.

AMA Style

Yan Xu, Kun Yang, Jiahai Yuan. Levelized cost of offshore wind power in China. Environmental Science and Pollution Research. 2021; ():1-14.

Chicago/Turabian Style

Yan Xu; Kun Yang; Jiahai Yuan. 2021. "Levelized cost of offshore wind power in China." Environmental Science and Pollution Research , no. : 1-14.

Journal article
Published: 02 May 2020 in Sustainability
Reads 0
Downloads 0

The severity of climate change and the urgency of ecological environment protection make the transformation of coal power imperative. In this paper, the relevant policies of coal-biomass co-firing power generation are combed, and the technical and economic evaluation of coal-biomass co-firing power generation technology is carried out using Levelized Cost of Electricity (LCOE) model. The result is that the LCOE of coal-biomass indirect co-firing power generation project is significantly higher than that of the pure coal-fired unit, with the LCOE rising by nearly 8%. Through sensitivity analysis, the LCOE will increase by 10.7% when it combusts 15% biomass, and increase by 19.1% when it combusts 20% biomass. The LCOE corresponding to wood chips increased by 5.71% and the LCOE to rice husks decreased by 6.06%. Finally, this paper puts forward some relevant policy suggestions, hoping to provide some reference for the promotion of coal-biomass co-firing power generation in China.

ACS Style

Yan Xu; Kun Yang; Jiahui Zhou; Guohao Zhao. Coal-Biomass Co-Firing Power Generation Technology: Current Status, Challenges and Policy Implications. Sustainability 2020, 12, 3692 .

AMA Style

Yan Xu, Kun Yang, Jiahui Zhou, Guohao Zhao. Coal-Biomass Co-Firing Power Generation Technology: Current Status, Challenges and Policy Implications. Sustainability. 2020; 12 (9):3692.

Chicago/Turabian Style

Yan Xu; Kun Yang; Jiahui Zhou; Guohao Zhao. 2020. "Coal-Biomass Co-Firing Power Generation Technology: Current Status, Challenges and Policy Implications." Sustainability 12, no. 9: 3692.

Research article
Published: 17 February 2020 in Environmental Science and Pollution Research
Reads 0
Downloads 0

Based on the 1.5 °C temperature control target of the Paris Agreement, the two scenarios in this paper which are 1.5 degree scenario (1.5DS) and 2 degree scenario (2DS) aim to analyze the CO2 emission space and power transition path constrains of the power sector in China. This paper then discusses the possible scenarios of 1.5DS and 2DS power planning schemes in 2050. The conclusions are as follows: (1) China's electricity consumption saturation period will occur during the period of 2030-2040; (2) Driven by technology learning, the levelized cost of electricity (LCOE) of wind power will have obvious competitive advantages in 2020 and so does solar power in 2030. However, due to the impact of additional grid connection costs of new energy power, economic advantages can only be obtained in the power market after at least 10 years; (3) The installed capacity of coal power in 1.5DS and 2DS will peak in 2020, and CO2 emissions will also peak in 2020, then it shows a trend of decreasing year by year. However, it should be noted that 1.5DS is with possibilities, but with enormous challenges as the same time; (4) Accelerating the green and low carbon transition of power sector must be gradually improving the power market and electricity price mechanism, providing a good transition environment for the power sector, developing emerging power technology, and promoting multi-energy complementary systems.

ACS Style

Yan Xu; Kun Yang; Jiahai Yuan. China’s power transition under the global 1.5 °C target: preliminary feasibility study and prospect. Environmental Science and Pollution Research 2020, 27, 15113 -15129.

AMA Style

Yan Xu, Kun Yang, Jiahai Yuan. China’s power transition under the global 1.5 °C target: preliminary feasibility study and prospect. Environmental Science and Pollution Research. 2020; 27 (13):15113-15129.

Chicago/Turabian Style

Yan Xu; Kun Yang; Jiahai Yuan. 2020. "China’s power transition under the global 1.5 °C target: preliminary feasibility study and prospect." Environmental Science and Pollution Research 27, no. 13: 15113-15129.

Journal article
Published: 19 June 2018 in Sustainability
Reads 0
Downloads 0

From scratch to current stage, China’s nuclear power technology has experienced rapid development, and now China has begun to export nuclear power technology. As a kind of highly efficient and clean energy source, nuclear energy is also a priority option to solve energy crisis, replace traditional fossil fuels and reduce air pollution. By analyzing the short-term and long-term development trend of nuclear power in China, the paper has reached the following conclusions: (1) Under the current situation of excess supply, due to high investment cost of first-kind reactors, the decline of utilization hours and the additional cost of ancillary service obligations, the levelized cost of energy (LCOE) of the third generation nuclear power will significantly increase, and the internal rate of return (IRR) will significantly fall. In the short term, market competitiveness of nuclear power will be a major problem, which affects investment enthusiasm. (2) With technology learning of third generation technology, the LCOE of nuclear power will be competitive with that of coal power in 2030. (3) The CO2 emissions reduction potential of nuclear power is greater than coal power with CCS and the avoided CO2 costs of nuclear power is much lower. Therefore, nuclear power is an important option for China’s long-term low-carbon energy system transition. The paper proposes to subsidize the technical learning costs of new technology through clean technology fund at the early commercialization stage. When designing power market rules, the technical characteristics of nuclear power should be fully considered to ensure efficient operation of nuclear power.

ACS Style

Yan Xu; Junjie Kang; Jiahai Yuan. The Prospective of Nuclear Power in China. Sustainability 2018, 10, 2086 .

AMA Style

Yan Xu, Junjie Kang, Jiahai Yuan. The Prospective of Nuclear Power in China. Sustainability. 2018; 10 (6):2086.

Chicago/Turabian Style

Yan Xu; Junjie Kang; Jiahai Yuan. 2018. "The Prospective of Nuclear Power in China." Sustainability 10, no. 6: 2086.

Journal article
Published: 09 November 2017 in Energies
Reads 0
Downloads 0

As the living standards of Chinese people have been improving, the energy demand for cooling and heating, mainly in the form of electricity, has also expanded. Since an integrated cooling, heating and power supply system (CCHP) will serve this demand better, the government is now attaching more importance to the application of CCHP energy systems. Based on the characteristics of the combined cooling heating and power supply system, and the method of levelized cost of energy, two calculation methods for the evaluation of the economical efficiency of the system are employed when the energy production in the system is dealt with from the perspective of exergy. According to the first method, fuel costs account for about 75% of the total cost. In the second method, the profits from heating and cooling are converted to fuel costs, resulting in a significant reduction of fuel costs, accounting for 60% of the total cost. Then the heating and cooling parameters of gas turbine exhaust, heat recovery boiler, lithium-bromide heat-cooler and commercial tariff of provincial capitals were set as benchmark based on geographic differences among provinces, and the economical efficiency of combined cooling heating and power systems in each province were evaluated. The results shows that the combined cooling heating and power system is economical in the developed areas of central and eastern China, especially in Hubei and Zhejiang provinces, while in other regions it is not. The sensitivity analysis was also made on related influencing factors of fuel cost, demand intensity in heating and cooling energy, and bank loans ratio. The analysis shows that the levelized cost of energy of combined cooling heating and power systems is very sensitive to exergy consumption and fuel costs. When the consumption of heating and cooling energy increases, the unit cost decreases by 0.1 yuan/kWh, and when the on-grid power ratio decreases by 20%, the cost may increase by 0.1 yuan/kWh. Finally, some suggestions were offered from the perspective of the power grid, gas sector reform, heating and cooling systems and other aspects to promote the use of combined cooling heating and power systems in the future.

ACS Style

Yan Xu; Wenyu Li; Jiahai Yuan. Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method. Energies 2017, 10, 1821 .

AMA Style

Yan Xu, Wenyu Li, Jiahai Yuan. Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method. Energies. 2017; 10 (11):1821.

Chicago/Turabian Style

Yan Xu; Wenyu Li; Jiahai Yuan. 2017. "Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method." Energies 10, no. 11: 1821.

Journal article
Published: 06 July 2017 in Sustainability
Reads 0
Downloads 0

This paper proposes a Dynamic Integrated Resource Strategic Planning (DIRSP) model based on a semi-Markov decision-making process. Considering the policy transfer probability matrix, we discuss the influence of different policy portfolios and input intensity on the timing and scale of low-carbon transition during the power planning process. In addition, we discuss various planning scenarios from a socio-technical system transition perspective. Scenarios are compiled to compare the pathways of power planning in China during 2015–2050 under different policies, including a typical reproduction pathway with unchanged policy that maintains the original coal-dominated technology pathway, a de-alignment/re-alignment pathway where renewable energy power technologies develop from niches to mainstream while the planning time for peak coal power moves ahead in 10–20 years due to subsidies to renewable and carbon tax policy, and the substitution and reconfiguration pathways in which renewable energy technologies compete with coal power in parallel, in which coal power will peak by 2020 while wind power and solar power will realize large-scale development by 2020 and 2030, respectively. Case study on power planning in China indicates that the methodology proposed in our study can enhance our understanding on the low-carbon transition process and the interaction between energy policy and transition pathway.

ACS Style

Yan Xu; Jiahai Yuan; Huiming Xu. Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050. Sustainability 2017, 9, 1177 .

AMA Style

Yan Xu, Jiahai Yuan, Huiming Xu. Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050. Sustainability. 2017; 9 (7):1177.

Chicago/Turabian Style

Yan Xu; Jiahai Yuan; Huiming Xu. 2017. "Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050." Sustainability 9, no. 7: 1177.

Journal article
Published: 19 May 2017 in Sustainability
Reads 0
Downloads 0

Cost evolution has an important influence on the commercialization and large-scale application of power technology. Many researchers have analyzed the quantitative relationship between the cost of power technology and its influencing factors while establishing various forms of technical learning curve models. In this paper, we focus on the positive effects of the policy on research and development (R&D) learning by summarizing and comparing four energy technology cost models based on learning curves. We explore the influencing factors and dynamic change paths of power technology costs. The paper establishes a multi-stage dynamic two-factor learning curve model based on cumulative R&D investment and the installed capacity. This work presents the structural changes of the influencing factors at various stages. Causality analysis and econometric estimation of learning curves are performed on wind power and other power technologies. The conclusion demonstrates that a “learn by researching” approach had led to cost reduction of wind power to date, but, in the long term, the effect of “learn by doing” is greater than that of “learn by researching” when R&D learning is saturated. Finally, the paper forecasts the learning rates and the cost trends of the main power technologies in China. The work presented in this study has implications on power technology development and energy policy in China.

ACS Style

Yan Xu; Jiahai Yuan; Jianxiu Wang. Learning of Power Technologies in China: Staged Dynamic Two-Factor Modeling and Empirical Evidence. Sustainability 2017, 9, 861 .

AMA Style

Yan Xu, Jiahai Yuan, Jianxiu Wang. Learning of Power Technologies in China: Staged Dynamic Two-Factor Modeling and Empirical Evidence. Sustainability. 2017; 9 (5):861.

Chicago/Turabian Style

Yan Xu; Jiahai Yuan; Jianxiu Wang. 2017. "Learning of Power Technologies in China: Staged Dynamic Two-Factor Modeling and Empirical Evidence." Sustainability 9, no. 5: 861.