Article
Energy & Fuels
Kangxin An, Shihui Zhang, Hai Huang, Yuan Liu, Wenjia Cai, Can Wang
Summary: Policy on household carbon reduction behavior plays a vital role in climate actions but is often overlooked in practice. The current uncontrolled household energy consumption under existing policies is inefficient towards achieving ambitious climate targets. Household participation in emission trading schemes (ETS) is identified as a valuable solution. Through a case study of China, it is found that household participation can significantly reduce carbon emissions, mitigation costs, household welfare loss, and impact social equity by 2050. The allocation mechanism of carbon allowances also has a significant impact on household welfare and social equity, showcasing the benefits of household participation in ETS and providing insights for policymakers to design careful and reasonable household carbon reduction policies globally.
Article
Green & Sustainable Science & Technology
Yuanhua Chang, Ying Tian, Ge Li, Jun Pang
Summary: The carbon tax, as an environmental regulation tool, can promote technological progress, which has been overlooked in previous evaluations of its economic impact. This study uses the Generalized Method of Moment model to examine the effect of an environmental tax on total factor productivity and energy efficiency. The findings suggest that a carbon tax policy initially negatively impacts GDP but can become positive in the later stages due to technological progress and a transition to low-carbon industries.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Studies
Lianbiao Cui, Suyun Yue, Xuan-Hoa Nghiem, Mei Duan
Summary: The Russo-Ukrainian war has increased the risk of global energy supply chain disruption, leading to short-term fluctuations in energy prices and disruptions to global energy supply, economic, and trade orders, with significant long-term effects on global political and economic patterns.
Review
Environmental Sciences
Kangxin An, Shihui Zhang, Jiaxin Zhou, Can Wang
Summary: Computable general equilibrium (CGE) models are widely used in assessing the economic, social, and environmental impacts of low-carbon policies. This review analyzed 1002 studies published between 2001 and 2021, revealing the global application of CGE models in low-carbon policy analysis. The study highlights the primary policy focuses, the increasing attention on social and environmental consequences, and the complexity of CGE models to serve diverse policy study purposes.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Business
Zhengquan Guo, Xingping Zhang, Yihong Ding, Xiaonan Zhao
Summary: This paper constructs a dynamic computable general equilibrium model to forecast China's economy, energy use, and carbon emissions, showing that changes in industry and energy structure will accompany a high and stable economic growth trend by 2030. Despite reductions in energy intensity and carbon emission intensity, carbon emissions will continue to rise and will not peak by 2030, highlighting the need for China's government to implement effective measures to achieve its commitment goals.
EMERGING MARKETS FINANCE AND TRADE
(2021)
Article
Green & Sustainable Science & Technology
Zhiwei Guo, Tao Li, Bowen Shi, Hongchao Zhang
Summary: The rapid expansion of China's vehicle fleet puts pressure on efforts to reduce carbon emissions. However, concerns have been raised about the environmental impact of electric vehicles (EVs) during the production phase. A study using a computational model found that the increase in EV sales has a negligible impact on the overall economy and the difference in CO2 emissions between EVs and internal combustion engine vehicles is marginal. Therefore, large-scale adoption of EVs will not hinder the sustainable development of the automotive industry.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Economics
Ulrik R. Beck, Peter K. Kruse-Andersen, Louis B. Stewart
Summary: This article investigates carbon leakage effects for a small open economy within a climate coalition and finds substantial leakage associated with an economy-wide CO2e tax, with large sectoral differences.
Article
Thermodynamics
Qunli Wu, Zhe Ma, Fanxing Meng
Summary: This study introduces a novel dynamic CGE model to investigate the impact mechanism of free-quota ratios on the economy-energy-environment system, finding that a high free-quota ratio can alleviate GDP loss caused by ETS policy and suggesting China to decrease economic losses while achieving emission reduction targets.
Article
Environmental Sciences
Jing Cao, Mun Ho, Qingfeng Liu
Summary: This study finds that climate actions in China have mainly focused on CO2 mitigation and have not comprehensively studied the impact of non-CO2 greenhouse gases. By developing a multi-sector dynamic model, we compare the economic impact of CO2-only mitigation with a multi-GHG mitigation policy that also prices non-CO2 GHGs. The results show that the multi-GHG approach significantly reduces the marginal abatement cost and economic loss compared to a CO2-only scenario.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Economics
Francesco Clora, Wusheng Yu, Erwin Corong
Summary: The European Union plans to implement a carbon border adjustment mechanism (CBAM) to address concerns about carbon leakage and competitiveness related to its Green Deal. The effectiveness and compatibility of the CBAM with international trade rules remain uncertain. This study evaluates different designs of the EU CBAM and their impact on global and regional GHG emissions, outputs, and trade flows. The results show significant carbon leakages and output reductions in the EU's emissions-intensive trade-exposed (EITE) sectors under the Green Deal. The design of the CBAM matters, with a non-discriminatory CBAM based on the EU's own emission intensities being ineffective, while an 'aggressive' CBAM based on exporters' emission intensities can achieve the desired goals.
Review
Environmental Sciences
Laura Fabregat-Aibar, Angels Ninerola, Laia Pie
Summary: This article provides an exhaustive analysis of the literature on computable general equilibrium models (CGE) and their applications in the field of sustainable development. It reveals the current state of the-art, trends, subfields of research, and future research gaps through descriptive, relational, and content analyses.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Review
Computer Science, Interdisciplinary Applications
Elisa Bardazzi, Francesco Bosello
Summary: The paper analyzes how the Water-Energy-Food Nexus is treated in Computable General Equilibrium (CGE) models, discussing their design, importance, and possible ways of improvement. Most models struggle to represent competing water uses across sectors, highlighting the need to resolve this issue as a necessary step toward improving future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Yupeng Fu, Guohe Huang, Lirong Liu, Mengyu Zhai
Summary: This study found that a carbon tax of 18.37 to 38.25 Yuan/ton is a reasonable policy alternative for China, and that stepped carbon tax is more effective than conventional carbon tax policy. The positive effects on reducing carbon emission intensity can be strengthened by increasing the step range.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Economics
Ying Fan, Xilong Yan, Lianbiao Cui, Luyang Zhang, Jiaxue Wang
Summary: Trade liberalization in the RCEP leads to regional economic growth but also increases energy consumption and carbon emissions, exacerbating climate change risks. This study explores carbon pricing in the RCEP and proposes a differentiated carbon pricing scheme based on cost fairness. Through unified carbon pricing, the total abatement cost can be reduced by 24.24%, resulting in a carbon price of $5.83 within the RCEP. These findings are valuable for the RCEP to achieve a win-win situation in terms of economic growth and climate change.
CHINA ECONOMIC REVIEW
(2023)
Article
Ecology
Jaume Freire-Gonzalez, Mun S. Ho
Summary: Promoting energy efficiency is an effective strategy to reduce energy use, but rebound effects can undermine its effectiveness. By implementing a complex policy strategy, we can offset rebound effects and improve GDP at a low cost.
ECOLOGICAL ECONOMICS
(2022)
Article
Green & Sustainable Science & Technology
Qian Zhang, Jinglan Hong, Tianzuo Zhang, Xu Tian, Yong Geng, Wei Chen, Yijie Zhai, Wenjing Liu, Xiaoxu Shen, Yueyang Bai
Summary: This study evaluates the environmental impact of soybean production in China, including fossil energy consumption, carbon emissions, and water footprint. The results show that the major factors contributing to climate change, ecosystem quality, human health, and resources are diammonium phosphate and diesel, as well as on-site emissions. The study proposes several recommendations, including optimizing trade structure, efficient resource use, and technological improvements.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Ziyao Fan, Huijuan Dong, Yong Geng, Minoru Fujii
Summary: Food waste treatment and utilization are crucial for sustainable waste management. This study compares five promising technologies in China for food waste treatment in terms of environmental impacts and economic costs. The results show that aerobic technology generally has lower environmental impacts but slightly higher economic costs. Mixed technologies AC + AD and AD + FP exhibit better cost-benefit efficiency.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Energy & Fuels
Chao Tang, Yong Geng, Xue Rui, Guimei Zhao
Summary: This study aims to explore the characteristics and driving factors of greenhouse gas emissions in China's aluminum industry, and proposes relevant policy recommendations. The study found that China's primary aluminum production center has shifted to the western region, primary aluminum smelting and carbon anode consumption are carbon-intensive processes, electricity emissions account for 78.14% of the total emissions, aluminum recycling rate is low, and transferring major primary aluminum manufacturing firms from Inner Mongolia to Yunnan can reduce total emissions by 88.58%.
FRONTIERS IN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Wei Chen, Qian Zhang, Ziyan Gao, Yong Geng, Yu Cheng, Xu Tian
Summary: This study conducted a case study of carbon emissions in the Haixi region of western China, and the results showed that the carbon emissions in this region have continued to increase over the past decade. Economic activity was found to be the main driver for the increase in carbon emissions, while industrial structure had a negative impact on carbon emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Multidisciplinary Sciences
Kai Fang, Jianjian He, Qingyan Liu, Siqi Wang, Yong Geng, Reinout Heijungs, Yueyue Du, Wenze Yue, Anqi Xu, Chuanglin Fang
Summary: The growing water scarcity due to international trade poses a serious threat to global sustainability. This paper tracks the virtual water trade and water footprint of BRI countries in 2005-2015 and finds a substantial increase in BRI's water footprint after considering water scarcity. The BRI acts as a net exporter of virtual water globally, but the export volume is decreasing. Noticeable transitions in nations' role are found between the BRI and global scales, as well as between with and without considering water scarcity. Overall economic and population growth drive the scarcity-weighted water footprint for BRI nations, highlighting the need for improved international trade and cooperation on water resources management.
Article
Environmental Studies
Xiangyan Zhu, Yong Geng, Ziyan Gao, Xu Tian, Shijiang Xiao, Khaoula Houssini
Summary: This study traces the flow and stock of zirconium in China from 2005 to 2020. The results show that China is the largest consumer of zirconium and relies heavily on imports. The ceramic and chemical sectors are the main consumers, and zirconium recycling is low. Therefore, it is recommended for China to explore domestic resources and seek high-grade ores from other countries, as well as promote recycling and efficient utilization of zirconium.
Article
Environmental Studies
Guimei Zhao, Yong Geng, Wendong Wei, Raimund Bleischwitz, Zewen Ge
Summary: This study analyzes the gadolinium flows in China and identifies key factors affecting gadolinium supply and demand. The results show an increase in China's demand for gadolinium by 30% from 2011 to 2020, while gadolinium supply continued to increase. The study also highlights the export of gadolinium resources in the form of intermediate and final products, with 72% of embedded gadolinium in intermediate products being used to meet global demand.
Article
Energy & Fuels
Yazhen Wu, Andre Deppermann, Petr Havlik, Stefan Frank, Ming Ren, Hao Zhao, Lin Ma, Chen Fang, Qi Chen, Hancheng Dai
Summary: In the process of addressing climate change, China is projected to become a major bioenergy consumer. However, this may lead to global land-use changes, food security concerns, and greenhouse gas emissions. The Global Biosphere Management Model (GLOBIOM) was used to study the effects of different bioenergy import strategies in China. The results indicate that strict biomass import regulations could result in substantial forest conversions, while open trade environments may cause significant shifts in trade flows and land-use changes in other regions. Nonetheless, an economically optimized biomass import portfolio for China has the potential to mitigate sustainability trade-offs.
Article
Thermodynamics
M. D. Shouquat Hossain, Yan Ru Fang, Teng Ma, Chen Huang, Hancheng Dai
Summary: The study evaluates the penetration of electric vehicles (EVs) and transport energy demand in achieving carbon neutrality in India. It proposes three scenarios and regionally specific climate policies to increase the share of low-carbon and net-zero vehicles. The results show that a combination of efficient technology can significantly reduce carbon emissions and air pollution, with the potential to achieve an 80% reduction in CO2 emissions by 2070.
Article
Environmental Sciences
Yan Ru Fang, Xin Sun, Silu Zhang, Gang Liu, Xiaorui Liu, Peng Zhang, Yifei Kang, Hancheng Dai
Summary: Private passenger vehicles in China, a large developing country, pose a severe threat to global climate and human health due to their high emissions of CO2 and air pollutants. This study explores the optimal implementation of both electric vehicles (EVs) and high energy-efficient internal combustion engine vehicles (ICEVs) in 31 Chinese provinces to achieve the greatest environmental and human health benefits. The results show that electrification of the passenger fleet leads to significant CO2 reduction and air quality improvement, while highly efficient ICEVs have decarbonization potential and health benefits in northern China.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Engineering, Environmental
Yang Xie, Hua Zhong, Zhixiong Weng, Xinbiao Guo, Satbyul Estella Kim, Shaowei Wu
Summary: This study investigates the economic impact of exposure to PM2.5 pollution in China, finding that it leads to increased healthcare expenses for lower respiratory infections, coronary heart disease, and stroke. The study also highlights gender and regional differences in the effects of PM2.5 exposure, but no significant differences between older and younger adults.
FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING
(2023)
Article
Environmental Studies
Sijie Liu, Yong Geng, Ziyan Gao, Jinze Li, Shijiang Xiao
Summary: Gold is an important strategic mineral resource in China, mainly used in various fields such as jewelry, investment, catalysts, and emerging industries. With increasing global inflation, the price of gold continues to rise as it is considered a hedge against stagflation. This study investigates China's gold consumption from 2001 to 2020 and finds that the jewelry sector has the highest consumption, followed by gold coins and several industrial sectors. It also highlights the insufficient domestic gold production and immature gold recycling in China. Policy recommendations are proposed for sustainable gold resource management, including optimizing gold trade structure and developing a gold recycling network.
Article
Environmental Sciences
Peizhi Deng, Yan Li, Shenxin Li, Yuxin Feng, Donghui Jin, Yiping Yang, Yang Xie, Yao Lu, Qiuping Zhao, Hong Yuan
Summary: This study investigated the joint effects of extreme temperatures and high humidity on mortality in central China. It found that extreme heat increased the risk of non-accidental mortality, while extreme cold worsened the risk of stroke mortality. High humidity further enhanced the risk of non-accidental mortality, especially regarding stroke.
AIR QUALITY ATMOSPHERE AND HEALTH
(2023)
Article
Multidisciplinary Sciences
Yang Xie, Meng Xu, Jinlu Pu, Yujie Pan, Xiaorui Liu, Yanxu Zhang, Shasha Xu
Summary: Developing renewable energy can reduce air pollution, greenhouse gas emissions, and lead to health benefits related to air pollution. In China, renewable energy development can avoid 0.6 million premature deaths, 151 million illnesses, and 111 million work-loss days by 2050. However, the distribution of these benefits varies across regions in China, so the deployment strategy must consider regional disparities.
Article
Environmental Studies
Xi Zhang, Shuai Shao, Yong Geng, Meiting Fan, Shuicheng Zhu, Xiaoqian Song, Ziyan Gao
Summary: Using the multi-regional input-output (MRIO) method, this study investigates the volatile organic compounds (VOCs) emissions embodied in China's fixed capital formation (FCF) and identifies the key drivers of decoupling between embodied VOCs emissions and embodied added value driven by FCF. The results show that China's embodied VOCs emissions in FCF increased during 2012-2015 but decreased during 2015-2017. The study suggests that the northeastern and northwestern regions should be the main targets for VOCs emissions reduction in FCF, and investment scale, embodied investment efficiency, and embodied emission intensity should be optimized.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
