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Xueting Zeng   Dr.  Institute, Department or Faculty Head 
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Xueting Zeng published an article in July 2018.
Top co-authors
Yongping Li

133 shared publications

Qilu University of Technology, Daxue Road No.3501, Changqing District, Jinan City, Shandong Province, China

Guohe Huang

17 shared publications

Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada

Lei Yu

2 shared publications

MOE Key Laboratory of Regional Energy Systems Optimization, Sino-Canada Energy and Environmental Research Center, North China Electirc Power University, Beijing 102206, China

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Publication Record
Distribution of Articles published per year 

Total number of journals
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4
 
Publications
Article 0 Reads 0 Citations Analyzing the carbon mitigation potential of tradable green certificates based on a TGC-FFSRO model: A case study in the... Cong Chen, Ying Zhu, Xueting Zeng, Guohe Huang, Yongping Li Published: 01 July 2018
Science of The Total Environment, doi: 10.1016/j.scitotenv.2018.02.103
DOI See at publisher website
Article 4 Reads 0 Citations A Sustainable Industry-Environment Model for the Identification of Urban Environmental Risk to Confront Air Pollution in... Guilin Gao, Xueting Zeng, ChunJiang An, Lei Yu Published: 26 March 2018
Sustainability, doi: 10.3390/su10040962
DOI See at publisher website ABS Show/hide abstract
In this study, an optimized industry-environment model is proposed for identifying environmental risk under uncertainties. The strategy associated with an emission-permit trading mechanism has been introduced into the industrial-environment regulation (model) for remitting the pressures of frequent/severe haze events in Beijing City. A dual stochastic mixed fuzzy risk analysis method with Laplace’s criterion (DSFRL) can be embedded into industry-environment issues with a trading emission-permit trading mechanism (IEST) for handling uncertainties regarded as possibility and probability distributions. Meanwhile, this can also reflect the environmental risks and corresponding system benefits due to the occurrence of a random event (such as random wind velocity). Based on the application of the proposed IEST with DSFRL, the numbers of the obtained results associated with production reduction, adjustment of industrial layout pattern, emission-permit transactions, pollutant mitigation and system benefits under various Laplace criterion cases can be analyzed. A tradeoff between production development and pollution mitigation based on the preference of policymakers can be used for rectifying current strategies with a sustainable mode, which can prompt an effort to confront air pollution
CONFERENCE-ARTICLE 4 Reads 0 Citations An Inexact Fuzzy Optimization Programming with Hurwicz Criterion (IFOPH) for Sustainable Irrigation Planning in Arid Reg... Zeng Xueting, Yongping Li Published: 31 October 2014
The 4th World Sustainability Forum, doi: 10.3390/wsf-4-a002
DOI See at publisher website ABS Show/hide abstract
In the past decades, sustainability in irrigation planning has been of concern to many researchers and managers. However, uncertainties existed in irrigation planning system can bring about enormous difficulties and challenges in generating desired decision alternatives to attain the aim of sustainability. In this study, an inexact fuzzy optimization programming with Hurwicz criterion (IFOPH) is developed for sustainable irrigation planning under uncertainty, which incorporate two-stage stochastic programming (TSP), interval-parameter programming (IPP), fuzzy credibility-constraint programming (FCP) and Hurwicz criterion (TCP-CH) within an framework. The IFOPH approach can not only provide an effective linkage between conflicting economic benefits and the associated penalties attributed to the violation of the pre-regulated policies, but also tackle uncertainties expressed as probabilistic distributions, fuzzy sets and interval values. The developed method is applied to the real case of planning sustainable irrigation in Tarim Basin, which is one of the aridest regions of China. The results based on confidence degrees and Hurwicz parameters are obtained, which can permit in-depth analyses of various policy scenarios of that are associated with different levels of economic penalties. Meanwhile, the results reveal that appropriate irrigation planning can improve the efficiency of water allocations, which has brought positive effects on remedying water deficit and promoting the sustainable development of agricultural production activities. Moreover, tradeoffs between economic benefit and system-failure risk based on Hurwicz criterion can support generating an increased robustness in risk control, which can facilitate the local decision makers in adjusting water-allocation pattern to satisfy the increasing water demand.
Article 4 Reads 6 Citations Inexact Mathematical Modeling for the Identification of Water Trading Policy under Uncertainty Xueting Zeng, Yongping Li, Guohe Huang, Liyang Yu Published: 27 January 2014
Water, doi: 10.3390/w6020229
DOI See at publisher website ABS Show/hide abstract
In this study, a two-stage inexact credibility-constrained programming (TICP) method is developed for identifying the efficiency of water trading under multiple uncertainties. TICP can tackle uncertainties expressed as probabilistic distributions, discrete intervals and fuzzy sets. It can also provide an effective linkage between the benefits to the system and the associated economic penalties attributed to the violation of the predefined policies for water resource allocation. The developed TICP method is applied to a real case of water resource allocation management and planning in the Kaidu-kongque River Basin, which is a typical arid region in Northwest China. Different water resource allocation policies based on changes to the water permit and trading ratio levels are examined. The results indicate that the efficiencies of water trading are sensitive to the degrees of satisfaction (i.e., interval credibility levels), which correspond to different water resource management policies. Furthermore, the comparison of benefits and shortages between trading and non-trading schemes implies that trading is more optimal and effective than non-trading. The results are helpful for making decisions about water allocation in an efficient way and for gaining insight into the tradeoffs between water trading and economic objectives.
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