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Xianyu Yu
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, 211106, China

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Journal article
Published: 22 August 2020 in Journal of Cleaner Production
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To promote energy conservation and emission reduction, China recently implemented a tradable green certificate market on the basis of the carbon emissions trading market. As an energy-intensive industry, the power industry is one of the leading contributors to carbon emissions in China. It is also the main participant in both the tradable green certificate market and the carbon emissions trading market. How to deal with the integration impact of the green certificate market and the carbon emissions trading market becomes a great challenge for the Chinese power industry. To improve sustainable development of Chinese power industry considering the integration impact of the green certificate market and the carbon emissions trading market, we established a simulation model based on system dynamics theory and scenario design method. The results of the study show that: (1) the implementation of tradable green certificate and carbon emissions trading mechanisms helps to control carbon emissions of the power industry, and to promote national targets of carbon emission reduction in China, (2) the optimization of electric power structure is positively related with renewable portfolio standard, and (3) the increase in the investment of renewable energy power generation technology not only brings large profit margins to power companies but also promote the achievement of sustainable development goals at the national level.

ACS Style

Xianyu Yu; Zhuojia Dong; Dequn Zhou; Xiuzhi Sang; Ching-Ter Chang; Xinhuan Huang. Integration of tradable green certificates trading and carbon emissions trading: How will Chinese power industry do? Journal of Cleaner Production 2020, 279, 123485 .

AMA Style

Xianyu Yu, Zhuojia Dong, Dequn Zhou, Xiuzhi Sang, Ching-Ter Chang, Xinhuan Huang. Integration of tradable green certificates trading and carbon emissions trading: How will Chinese power industry do? Journal of Cleaner Production. 2020; 279 ():123485.

Chicago/Turabian Style

Xianyu Yu; Zhuojia Dong; Dequn Zhou; Xiuzhi Sang; Ching-Ter Chang; Xinhuan Huang. 2020. "Integration of tradable green certificates trading and carbon emissions trading: How will Chinese power industry do?" Journal of Cleaner Production 279, no. : 123485.

Notes
Published: 13 July 2020 in International Journal of Production Research
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We show by counterexample that the binary integer quadratic programming model proposed by Kaabi and Harrath [2019. “Scheduling on Uniform Parallel Machines with Periodic Unavailability Constraints.” International Journal of Production Research 57: 216–227] is incorrect. We fix this model and propose two linear ones.

ACS Style

Dehua Xu; Limin Xu; Zhijun Xu; Xianyu Yu. A note on scheduling on uniform parallel machines with unavailability constraints. International Journal of Production Research 2020, 59, 5083 -5086.

AMA Style

Dehua Xu, Limin Xu, Zhijun Xu, Xianyu Yu. A note on scheduling on uniform parallel machines with unavailability constraints. International Journal of Production Research. 2020; 59 (16):5083-5086.

Chicago/Turabian Style

Dehua Xu; Limin Xu; Zhijun Xu; Xianyu Yu. 2020. "A note on scheduling on uniform parallel machines with unavailability constraints." International Journal of Production Research 59, no. 16: 5083-5086.

Journal article
Published: 14 March 2020 in Energy Policy
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This paper aims to explore the appropriate investment strategy for Chinese power enterprises with the effect of the nationwide carbon emissions trading (NCET) market. Based on the system dynamics (SD) theory and the analysis of investment strategies, the SD model for the investment analysis of power enterprises is proposed. The simulation experiments based on three different investment policy scenarios (i.e., conservative, neutral and active) are conducted. According to the simulation results, the reasonable short-term investment for enterprises should be increased. If enterprises choose to invest more resources in the installation of green powers (hydropower, wind power and photovoltaic), their carbon emissions and profits may be more difficult to achieve qualitative changes in the short term. It is suggested that before the establishment of NCET market, enterprises should give priority to investing in clean technology instead of large-scale green energy installation. In the long run, increasing the investment of green power generation will help enterprises resist the rising cost of carbon trading. In addition, even in the conservative policy environment, the enterprise can still achieve its carbon discharges peak value before 2030, so the government may consider adopting a loose policy standard to support the economic interests of power enterprises.

ACS Style

Xianyu Yu; Zemin Wu; Qunwei Wang; Xiuzhi Sang; Dequn Zhou. Exploring the investment strategy of power enterprises under the nationwide carbon emissions trading mechanism: A scenario-based system dynamics approach. Energy Policy 2020, 140, 111409 .

AMA Style

Xianyu Yu, Zemin Wu, Qunwei Wang, Xiuzhi Sang, Dequn Zhou. Exploring the investment strategy of power enterprises under the nationwide carbon emissions trading mechanism: A scenario-based system dynamics approach. Energy Policy. 2020; 140 ():111409.

Chicago/Turabian Style

Xianyu Yu; Zemin Wu; Qunwei Wang; Xiuzhi Sang; Dequn Zhou. 2020. "Exploring the investment strategy of power enterprises under the nationwide carbon emissions trading mechanism: A scenario-based system dynamics approach." Energy Policy 140, no. : 111409.

Regular research paper
Published: 20 September 2019 in Memetic Computing
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With the increasing concern on greenhouse gas emissions, green scheduling decision in the manufacturing factory is gaining more and more attention. This paper addresses the unrelated parallel machine green scheduling problem (UPMGSP) with criteria of minimizing the makespan and the total carbon emission. To solve the problem, the estimation of distribution evolution memetic algorithm (EDEMA) is proposed. Firstly, based on the minimum machine load first principle, the initialization of the population is proposed. Second, a multi-objective non-dominated sorting approach and the crowding distance are adopted to improve the diversity of individual. Third, to estimate the probability distribution of the solution space, a probability model is presented to enhance the searching ability. Third, five neighbourhood searching operators are designed to handle the job-to-machine assignment. Moreover, the population catastrophe is used to maintain the sustainable diversity of the population. Finally, based on the randomly generated instances of the UPMGSP, extensive computational tests are carried out. The obtained computational results show that the EDEMA has the better searching capability and the better objective value than those of the non-dominated sorting genetic algorithm II and the estimation of distribution evolution algorithm (EDEA) in solving the UPMGSP.

ACS Style

Yue Xue; Zhijian Rui; Xianyu Yu; Xiuzhi Sang; Wenjie Liu. Estimation of distribution evolution memetic algorithm for the unrelated parallel-machine green scheduling problem. Memetic Computing 2019, 11, 423 -437.

AMA Style

Yue Xue, Zhijian Rui, Xianyu Yu, Xiuzhi Sang, Wenjie Liu. Estimation of distribution evolution memetic algorithm for the unrelated parallel-machine green scheduling problem. Memetic Computing. 2019; 11 (4):423-437.

Chicago/Turabian Style

Yue Xue; Zhijian Rui; Xianyu Yu; Xiuzhi Sang; Wenjie Liu. 2019. "Estimation of distribution evolution memetic algorithm for the unrelated parallel-machine green scheduling problem." Memetic Computing 11, no. 4: 423-437.

Journal article
Published: 13 July 2019 in Information Sciences
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Stock selection is one of the most significant topic in investment decision problems, which can be solved through aggregating financial variables of the enterprizes. Because of the complexity and ambiguity of the stock exchange market, crisp financial ratios and their corresponding probabilities could not represent the fluctuation and ambiguity over a period. Interval type-2 fuzzy numbers have advantages in modeling uncertainty over type-1 fuzzy sets(T1 FSs), and have gained popularity in investment decisions. In this paper, we propose an uncertain possibility-probability information fusion method for stock selection under interval type-2 fuzzy environment. Firstly, based on the expected value and variance of the evaluations, both the interval type-2 fuzzy evaluations and probabilities are constructed. Secondly, considering the idea of probability for a fuzzy event, the fused probability with possibility-probability information is suggested to handle the uncertainty under interval type-2 fuzzy environment, and the entropy weight is used to reflect the importance degree for each criteria. Thirdly, the aggregation model based on the concept of the relative closeness to the ideal alternatives is used to compare the alternatives. Finally, an application have been performed in stock selection of real estate industry in China.

ACS Style

Xiuzhi Sang; Yingheng Zhou; Xianyu Yu. An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection. Information Sciences 2019, 504, 546 -560.

AMA Style

Xiuzhi Sang, Yingheng Zhou, Xianyu Yu. An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection. Information Sciences. 2019; 504 ():546-560.

Chicago/Turabian Style

Xiuzhi Sang; Yingheng Zhou; Xianyu Yu. 2019. "An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection." Information Sciences 504, no. : 546-560.

Journal article
Published: 01 June 2019 in Sustainability
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To control growing environmental problems, the pollution rights trading (PRT) center was established in Jiaxing in 2007, and China officially joined the carbon emission reduction market (NCET) in 2011. Since power enterprises are the main participants in the NCET market and PRT market, the integrated effect of the NCET market and PRT market on power enterprise profit and the regional environment is one of the major issues that needs to be taken into consideration. Based on system dynamics (SD) theory, we propose an NCET-PRT simulation model for power enterprises in Chongqing. Through analyzing parameters of carbon trading price, free ratio, and emission trading prices, 12 different simulation scenarios are configured for sensitivity analysis. Based on the simulation results, the following observations can be obtained: (1) NCET and PRT can effectively promote the performance of enterprises’ carbon emissions reduction and regional pollutant emission reduction but will have a minor negative impact on the industrial economy at the same time; (2) The trading mechanism is interactive; if the carbon emissions trading (NCET) mechanism is implemented separately, the emission of pollutants will be reduced significantly. However, the implementation of pollution rights trading (PRT) alone cannot significantly reduce CO2 emissions; (3) At an appropriate level, NCET and PRT can be enhanced to achieve a maximum emissions reduction effect at a minimum economic cost.

ACS Style

Shengxian Ge; Xianyu Yu; Dequn Zhou; Xiuzhi Sang. The Integrated Effect of Carbon Emissions Trading and Pollution Rights Trading for Power Enterprises—A Case Study of Chongqing. Sustainability 2019, 11, 3099 .

AMA Style

Shengxian Ge, Xianyu Yu, Dequn Zhou, Xiuzhi Sang. The Integrated Effect of Carbon Emissions Trading and Pollution Rights Trading for Power Enterprises—A Case Study of Chongqing. Sustainability. 2019; 11 (11):3099.

Chicago/Turabian Style

Shengxian Ge; Xianyu Yu; Dequn Zhou; Xiuzhi Sang. 2019. "The Integrated Effect of Carbon Emissions Trading and Pollution Rights Trading for Power Enterprises—A Case Study of Chongqing." Sustainability 11, no. 11: 3099.

Journal article
Published: 01 April 2018 in Energy
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ACS Style

Jingliang Jin; Peng Zhou; Mingming Zhang; Xianyu Yu; Hao Din. Balancing low-carbon power dispatching strategy for wind power integrated system. Energy 2018, 149, 914 -924.

AMA Style

Jingliang Jin, Peng Zhou, Mingming Zhang, Xianyu Yu, Hao Din. Balancing low-carbon power dispatching strategy for wind power integrated system. Energy. 2018; 149 ():914-924.

Chicago/Turabian Style

Jingliang Jin; Peng Zhou; Mingming Zhang; Xianyu Yu; Hao Din. 2018. "Balancing low-carbon power dispatching strategy for wind power integrated system." Energy 149, no. : 914-924.

Article
Published: 29 March 2017 in Journal of the Operations Research Society of China
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Scheduling with group technology has been a vivid research area in the past decades. However, group technology with general dual-effect variable processing times needs to be further explored although this kind of group technology plays an important role in some actual manufacturing scenarios. Accordingly, this paper considers group scheduling problems with a kind of general group variable processing times model, where the actual processing time of each job in group is variable due to the dual effect of both the job position and the group position. The objectives of two types of considered problems are to minimize the makespan and the total completion time, respectively. Based on the decomposition analysis, the mathematical logic analysis and the computational complexity proof, it is obtained that the makespan minimization problem and the total completion time minimization problem are both polynomially solvable under the condition that the group number is constant. For three special cases of considered problems, polynomial solving algorithms with lower computational complexity are proposed.

ACS Style

Xian-Yu Yu; De-Qun Zhou; Yu-Lin Zhang. The Study of Group Scheduling Problems with General Dual-Position-Based Job Processing Times. Journal of the Operations Research Society of China 2017, 5, 509 -527.

AMA Style

Xian-Yu Yu, De-Qun Zhou, Yu-Lin Zhang. The Study of Group Scheduling Problems with General Dual-Position-Based Job Processing Times. Journal of the Operations Research Society of China. 2017; 5 (4):509-527.

Chicago/Turabian Style

Xian-Yu Yu; De-Qun Zhou; Yu-Lin Zhang. 2017. "The Study of Group Scheduling Problems with General Dual-Position-Based Job Processing Times." Journal of the Operations Research Society of China 5, no. 4: 509-527.