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Dequn Zhou
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing, China

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Review
Published: 28 November 2020 in Frontiers of Engineering Management
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The low carbon energy transition has attracted worldwide attention to mitigate climate change. Renewable energy (RE) is the key to this transition, with significant developments to date, especially in China. This study systematically reviews the literature on RE development to identify a general context from many studies. The goal is to clarify key questions related to RE development from the current academic community. We first identify the forces driving RE development. Thereafter, we analyze methods for modeling RE developments considering the systematic and multiple complexity characteristics of RE. The study concludes with insights into the target selection and RE development roadmap in China.

ACS Style

Dequn Zhou; Hao Ding; Qunwei Wang; Bin Su. Literature review on renewable energy development and China’s roadmap. Frontiers of Engineering Management 2020, 8, 212 -222.

AMA Style

Dequn Zhou, Hao Ding, Qunwei Wang, Bin Su. Literature review on renewable energy development and China’s roadmap. Frontiers of Engineering Management. 2020; 8 (2):212-222.

Chicago/Turabian Style

Dequn Zhou; Hao Ding; Qunwei Wang; Bin Su. 2020. "Literature review on renewable energy development and China’s roadmap." Frontiers of Engineering Management 8, no. 2: 212-222.

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.

Journal article
Published: 22 August 2020 in Journal of Cleaner Production
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Analyzing the influencing factors of environmental pollution is of utmost significance for formulating pollution control strategies. However, the extant research did not take into consideration the spatial effects, which may result in an insufficient understanding of the results. To explore the spatial agglomeration of environmental pollution, the externalities of economic units are integrated into environmental pollution research. Using a panel data from 2005 to 2017 of 30 Chinese provinces, this paper quantitatively analyzed the main driving factors affecting environmental pollution by utilizing the spatial Durbin model (SDM). To better test the marginal effects from the spatial dependence, the influence of each contributing factor is further decomposed. The main results are as follows: (1) The quartile maps of China’s environmental pollution show obvious characteristics of spatial disparity and clustering. (2) Owing to the correlation and similarity between economic units, China’s environmental pollution shows a steady spatial agglomeration effect among regions. (3) Analysis of the SDM indicates that per capita GDP, technology, urbanization, and population exert different influences on environmental pollution. Moreover, the impacts of urbanization and foreign direct investment on environmental pollution vary essentially among regions, and one change in the abovementioned variables will not only exert influence on environmental pollution in one region but also extend its spatial effects in neighboring regions through a spatial transmission mechanism. Also, an inverted U-shaped nexus is also supported for environmental pollution accordingly. According to the empirical results of this paper, several major policy implications are proposed.

ACS Style

Xing Wang; Dequn Zhou. Spatial agglomeration and driving factors of environmental pollution: A spatial analysis. Journal of Cleaner Production 2020, 279, 123839 .

AMA Style

Xing Wang, Dequn Zhou. Spatial agglomeration and driving factors of environmental pollution: A spatial analysis. Journal of Cleaner Production. 2020; 279 ():123839.

Chicago/Turabian Style

Xing Wang; Dequn Zhou. 2020. "Spatial agglomeration and driving factors of environmental pollution: A spatial analysis." Journal of Cleaner Production 279, no. : 123839.

Journal article
Published: 16 November 2019 in The Science of The Total Environment
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Rapid economic growth of China’s industry has brought many problems. Among them, the problems of energy shortage and environmental pollution have become increasingly serious. The quick development of the big data has brought new challenges and opportunities for environmental management. In this paper, we propose a new data envelopment analysis (DEA) model to analyze the energy and environmental efficiency of industrial sectors from China’s 30 provincial-level regions in order to determine the potential and route for energy saving (ES) and carbon emission reduction (CER). The new DEA model not only considers the dynamic data, but also involves the technology heterogeneity and closest targets, which could achieve the potential or provide the route for ES and CER step by step with least effort. The new approach is illustrated by using the regional industrial dataset of China and some implications for ES and CER are proposed.

ACS Style

Qingyuan Zhu; Xingchen Li; Feng Li; Dequn Zhou. The potential for energy saving and carbon emission reduction in China’s regional industrial sectors. The Science of The Total Environment 2019, 716, 135009 .

AMA Style

Qingyuan Zhu, Xingchen Li, Feng Li, Dequn Zhou. The potential for energy saving and carbon emission reduction in China’s regional industrial sectors. The Science of The Total Environment. 2019; 716 ():135009.

Chicago/Turabian Style

Qingyuan Zhu; Xingchen Li; Feng Li; Dequn Zhou. 2019. "The potential for energy saving and carbon emission reduction in China’s regional industrial sectors." The Science of The Total Environment 716, no. : 135009.

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: 17 June 2016 in Sustainability
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This paper proposes a real options model for evaluating the biomass power generation investment in China. The uncertainties in the market price of electricity, CO2 price and straw price are considered. Meanwhile the dynamic relationship between installed capacity and fuel cost, as well as the long-term reduction of subsidy are described. Two scenarios, i.e., with the carbon emission trading scheme existent and non-existent, respectively, is built to empirically analyze the investment of a 25-MW straw-based power generation project. The results show that investors should undertake the investment in 2030 under two scenarios. Investment values are 14,869,254.8 and 37,608,727 Chinese Yuan (RMB), respectively. The implementation of the carbon emission trading scheme theoretically helps improve investment value and advance the most likely optimal investment time. However, the current CO2 price is not sufficient to advance the most likely optimal investment time. The impacts of several factors, including subsidy policy, CO2 price, straw price, installed capacity, correlation structure and the validity period of investment, on the optimal investment strategy are also examined. It is suggested that governments take some measures, including increasing subsidy, setting the growth pattern of subsidy and establishing and perfecting a nationwide carbon trading market, to improve the investment environment and attract more investments.

ACS Style

Mingming Zhang; Dequn Zhou; Hao Ding; Jingliang Jin. Biomass Power Generation Investment in China: A Real Options Evaluation. Sustainability 2016, 8, 563 .

AMA Style

Mingming Zhang, Dequn Zhou, Hao Ding, Jingliang Jin. Biomass Power Generation Investment in China: A Real Options Evaluation. Sustainability. 2016; 8 (6):563.

Chicago/Turabian Style

Mingming Zhang; Dequn Zhou; Hao Ding; Jingliang Jin. 2016. "Biomass Power Generation Investment in China: A Real Options Evaluation." Sustainability 8, no. 6: 563.

Journal article
Published: 13 June 2016 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
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This paper develops a new method called bi-technique for order preference by similarity to ideal solution (Bi-TOPSIS) to address the multicriteria decision making problems involving interrelated criteria using bipolar measurement with negative values. The Bi-TOPSIS method incorporates the capability of the bi-capacity technique into the TOPSIS to address two important issues: 1) how to measure the interactions between criteria and 2) how to aggregate values measured on a bipolar scale. In practical applications, this method allows the use of benchmarks to demarcate “good” from “bad” performance, thus enhancing the interpretability of the evaluation results. To examine its effectiveness, an empirical study on the evaluation of city social sustainability is conducted. The outcome of the study demonstrates the feasibility and applicability of the new Bi-TOPSIS method.

ACS Style

Ling Zhang; Yan Xu; Chung-Hsing Yeh; Le He; De-Qun Zhou. Bi-TOPSIS: A New Multicriteria Decision Making Method for Interrelated Criteria With Bipolar Measurement. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2016, 47, 3272 -3283.

AMA Style

Ling Zhang, Yan Xu, Chung-Hsing Yeh, Le He, De-Qun Zhou. Bi-TOPSIS: A New Multicriteria Decision Making Method for Interrelated Criteria With Bipolar Measurement. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2016; 47 (12):3272-3283.

Chicago/Turabian Style

Ling Zhang; Yan Xu; Chung-Hsing Yeh; Le He; De-Qun Zhou. 2016. "Bi-TOPSIS: A New Multicriteria Decision Making Method for Interrelated Criteria With Bipolar Measurement." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 12: 3272-3283.

Journal article
Published: 15 December 2015 in Sustainability
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The effectiveness of subsidies in improving the performance of renewable energy firms has aroused significant research attention in recent years. As subsidy modes may affect corporate financial performance,we have chosen companies specializing in wind and solar energy in the Shanghai and Shenzhen stock markets as samples.The relationships between the subsidy modes and financial performance of these two types of companies are investigated with a panel data model. Results of the total sample indicate that both indirect and non-innovative subsidy have significant effects on the financial performance of renewable energy companies. The regressive coefficient of the former,however, is a negative value, which illustrates that taxation, bonus, and other market-based mechanisms impair corporate profitability. Moreover, the influence of innovative subsidy is weak, which means that the subsidy used for research and development, technical demonstration, and other innovations of renewable energy enterprises have failed to effectively enhance corporate financial performance. In terms of sub-industries, the direct subsidy for wind energy companies has achieved a significant effect. Incomparison, the indirect subsidy and innovative subsidy acquired by solar energy companies have notably reduced corporate profitability. Thissuggests an urgent reform of subsidy policy for this industry is needed. The government should consider differences in the effects subsidies have for wind and solar energy companies when improving subsidy policy. In addition, market-based subsidy mechanisms should be perfected, and the structure of innovative subsidies should be ameliorated.

ACS Style

Huiming Zhang; Yu Zheng; Dequn Zhou; Peifeng Zhu. Which Subsidy Mode Improves the Financial Performance of Renewable Energy Firms? A Panel Data Analysis of Wind and Solar Energy Companies between 2009 and 2014. Sustainability 2015, 7, 16548 -16560.

AMA Style

Huiming Zhang, Yu Zheng, Dequn Zhou, Peifeng Zhu. Which Subsidy Mode Improves the Financial Performance of Renewable Energy Firms? A Panel Data Analysis of Wind and Solar Energy Companies between 2009 and 2014. Sustainability. 2015; 7 (12):16548-16560.

Chicago/Turabian Style

Huiming Zhang; Yu Zheng; Dequn Zhou; Peifeng Zhu. 2015. "Which Subsidy Mode Improves the Financial Performance of Renewable Energy Firms? A Panel Data Analysis of Wind and Solar Energy Companies between 2009 and 2014." Sustainability 7, no. 12: 16548-16560.

Journal article
Published: 23 October 2014 in Sustainability
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The decision on the location of a straw-based power generation plant has a great influence on the plant’s operation and performance. This study explores traditional theories for site selection. Using integer programming, the study optimizes the economic and carbon emission outcomes of straw-based power generation as two objectives, with the supply and demand of straw as constraints. It provides a multi-objective mixed-integer programming model to solve the site selection problem for a straw-based power generation plant. It then provides a case study to demonstrate the application of the model in the decision on the site selection for a straw-based power generation plant with a Chinese region. Finally, the paper discusses the result of the model in the context of the wider aspect of straw-based power generation.

ACS Style

Hao Lv; Hao Ding; Dequn Zhou; Peng Zhou. A Site Selection Model for a Straw-Based Power Generation Plant with CO2 Emissions. Sustainability 2014, 6, 7466 -7481.

AMA Style

Hao Lv, Hao Ding, Dequn Zhou, Peng Zhou. A Site Selection Model for a Straw-Based Power Generation Plant with CO2 Emissions. Sustainability. 2014; 6 (10):7466-7481.

Chicago/Turabian Style

Hao Lv; Hao Ding; Dequn Zhou; Peng Zhou. 2014. "A Site Selection Model for a Straw-Based Power Generation Plant with CO2 Emissions." Sustainability 6, no. 10: 7466-7481.

Journal article
Published: 01 February 2014 in Renewable Energy
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ACS Style

Ling Zhang; De-Qun Zhou; Peng Zhou; Qi-Ting Chen. Modelling policy decision of sustainable energy strategies for Nanjing city: A fuzzy integral approach. Renewable Energy 2014, 62, 197 -203.

AMA Style

Ling Zhang, De-Qun Zhou, Peng Zhou, Qi-Ting Chen. Modelling policy decision of sustainable energy strategies for Nanjing city: A fuzzy integral approach. Renewable Energy. 2014; 62 ():197-203.

Chicago/Turabian Style

Ling Zhang; De-Qun Zhou; Peng Zhou; Qi-Ting Chen. 2014. "Modelling policy decision of sustainable energy strategies for Nanjing city: A fuzzy integral approach." Renewable Energy 62, no. : 197-203.

Conference paper
Published: 01 January 2006 in 2006 International Conference on Machine Learning and Cybernetics
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To ensure the hierarchical structure of complex system illustrative and reasonable, the new method is presented to build and adjust hierarchical structure of complex system through integration of decision making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) models. First of all, the rationale and procedures of integrating DEMATEL and ISM are analyzed; then the method to perfect system's hierarchical structure with dummy nodes is proposed, which can be viewed as the images of the original nodes in system's hierarchical structure; at last, a material example is given to verify the methods mentioned above

ACS Style

De-Qun Zhou; Ling Zhang; Hong-Wei Li. A Study of the System's Hierarchical Structure Through Integration of Dematel and ISM. 2006 International Conference on Machine Learning and Cybernetics 2006, 1449 -1453.

AMA Style

De-Qun Zhou, Ling Zhang, Hong-Wei Li. A Study of the System's Hierarchical Structure Through Integration of Dematel and ISM. 2006 International Conference on Machine Learning and Cybernetics. 2006; ():1449-1453.

Chicago/Turabian Style

De-Qun Zhou; Ling Zhang; Hong-Wei Li. 2006. "A Study of the System's Hierarchical Structure Through Integration of Dematel and ISM." 2006 International Conference on Machine Learning and Cybernetics , no. : 1449-1453.