Article
Environmental Sciences
Wei Li, Hongqing Ma, Can Lu
Summary: This paper proposes a framework for achieving the carbon peaking target in China with minimal economic costs. The study calculates the total factor carbon emission efficiency and marginal carbon abatement cost, and optimizes the allocation of abatement tasks. The findings show that the future cost of carbon emission reduction will be expensive, and the measured marginal abatement costs are positively correlated with carbon emission efficiency. Optimizing the allocation scheme of abatement tasks can improve emission efficiency and achieve the lowest economic cost.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Economics
Lennard Rekker, Michaela Kesina, Machiel Mulder
Summary: The chemical industry needs to reduce its carbon emissions, and this study examines the economic feasibility of different abatement technologies. The Marginal Abatement Cost (MAC) of CO2 emissions for 24 firms in the European chemical sector from 2015-2020 is estimated using a quadratic directional output distance function (DDF) model. The findings suggest that most firms prefer carbon allowances instead of reducing their own emissions, unless the carbon price significantly increases or financial support is provided for specific abatement technologies such as renewable hydrogen and bio-based ammonia.
Article
Management
F. Wu, S. Y. Wang, P. Zhou
Summary: Reducing carbon dioxide (CO2) emissions comes with costs, and estimating the marginal abatement cost of CO2 emissions (MCAC) is crucial for decision-making. This study contributes by considering different abatement options and revealing that the MCAC can be negative if switching to lower carbon fuel generates profit. They develop a new approach for estimating the MCAC, considering six alternative abatement options. A case study on China's thermal power industry shows that the least-cost abatement option varies across provinces and years, with switching to cleaner energy being a cost-effective option in most cases.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Environmental Sciences
D. J. Ji, P. Zhou, F. Wu
Summary: The study findings suggest that economic growth takes precedence over environmental protection in these Chinese cities, and there is a positive and statistically significant relationship between abatement costs and air quality.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Feng Wang, Ruiqi Wang, Xue Nan
Summary: This study calculates the marginal abatement costs (MAC) of CO2 emissions of 37 industries in China from 2005 to 2016 using the quadratic directional distance function and investigates the influencing factors of MAC as well as the reflection of policy suggestions on environmental performance.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Energy & Fuels
Ailun Wang, Shuo Hu, Boqiang Lin
Summary: This study proposes an improved method that combines clustering with a parametric output directional distance function for estimating marginal emission abatement costs. The research shows that the environmental efficiency of the 30 provinces in China is generally inefficient to a certain extent, and methods that do not consider technological heterogeneity can lead to inaccurate results. Additionally, China's average marginal CO2 abatement cost is increasing.
Article
Environmental Studies
Daniel Penalosa Martinell, Francisco Javier Vergara-Solana, Marcelo Araneda Padilla, German Ponce Diaz, Annie Mejaes, Manuel Maria Varela Lafuente, U. Rashid Sumaila
Summary: This paper examines the externalities and public policies affecting aquaculture. The analysis focuses on Mexican policies impacting CO2 emissions and evaluates the model of shrimp larvae production industry. The paper concludes with recommendations for promoting sustainable aquaculture through the application of subsidies.
Article
Environmental Sciences
Qifeng Zhang, Kai Fang, Jing Chen, Hong Liu, Peilin Liu
Summary: This study proposes a costs-oriented approach for sectoral coverage (COASCO) and empirically examines the impacts of sectoral coverage on emission abatement costs (EACs) using China's climate targets as an example. The results show that expanding the sectoral coverage can reduce EACs, and covering six specific sectors can achieve the best results.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Ramon Sala-Garrido, Manuel Mocholi-Arce, Maria Molinos-Senante, Alexandros Maziotis
Summary: The study estimated the marginal abatement cost of reducing both direct and indirect CO2 emissions in the provision of drinking water by several water companies in England and Wales, finding that the cost of reducing emissions was high and positively correlated with operational factors of the water companies.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Energy & Fuels
Phitsinee Muangjai, Wongkot Wongsapai, Rongphet Bunchuaidee, Neeracha Tridech, Chaichan Ritkrerkkrai, Det Damrongsak, Ornvara Bhuridej
Summary: Thailand has been steadily increasing the use of renewable energy through the AEDP plan, primarily by subsidizing renewable energy generation to reduce costs and greenhouse gas emissions. The study found that there are different marginal abatement costs for various types of renewable energy in Thailand, with the main mitigation coming from bio-renewable sources.
Article
Green & Sustainable Science & Technology
Zilong Wang, Shilei Qiu
Summary: The selection of National Comprehensive Demonstration City of Energy Saving and Emission Reduction Fiscal Policy is an important policy that significantly reduces urban pollutant emissions. The effect of the policy increases in the short term but decreases gradually in the long term, mainly driven by innovation and reducing energy intensity, with more significant effects in cities with higher levels of economic development.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Engineering, Environmental
Kai Fang, Qifeng Zhang, Junnian Song, Chang Yu, Haoran Zhang, Haimeng Liu
Summary: This study quantifies China's emission reduction needs in 2030 and proposes that peaking China's emissions in 2030 is the optimal choice, which will drive the largest GDP in 2016-2030. By simulating an ETS, China can reduce its emission abatement costs, and it is recommended to use the historical responsibility scheme for the initial allocation of carbon emission allowances.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Environmental Studies
Yujiao Xian, Nan Li, Ke Wang
Summary: This study provides an innovative estimation of marginal abatement cost (MAC) for construction and hygienic ceramic enterprises in China. The results show that the average MAC for construction ceramics manufacturing is lower than that for hygienic ceramics manufacturing. Construction ceramics enterprises tend to downscale production while hygienic ceramics enterprises prefer increasing the intermediate input. Energy use efficiency positively influences MACs for both types of enterprises, while intermediate input rate, energy consumption structure, and profitability are negatively related to MAC.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2024)
Article
Green & Sustainable Science & Technology
Samuel Gamtessa, Monika Cule
Summary: Using the shadow cost approach and industry level data, this study estimates the marginal abatement costs (MACs) of reducing GHG emissions in Canada. Based on a Hyperbolic Output Distance Function (HODF) and stochastic frontier estimation, we obtain an average shadow MAC of $130/t across 30 industries, accounting for GHG emissions caused by energy consumption. The low-MACs sectors, which represent 98% of total GHG emissions and 94% of total energy use in the industries studied, indicate that the envisioned $50/t carbon levy could potentially lead to significant GHG abatement in Canada.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Environmental Sciences
Jing Yang, Weiyi Gu, Boqun Wu, Beibei Liu, Bing Zhang
Summary: The cost-effectiveness of the RTPC policy in China's key industries has been analyzed in this study. The results show that the average decline in cost-effectiveness is about 2.55%. The strictness of emission reduction goals, variance of unit abatement cost, and matching degree between cost and goals are the main factors affecting the decline in cost-effectiveness.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Kai Tang, Yuan Qiu, Di Zhou
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Fang Yuan, Kai Tang, Qinghua Shi
Summary: This study examines the impact of Internet use on chemical fertilizer use in developing economies using a nationwide dataset from 7766 rural households in China. The results show that Internet use reduces chemical fertilizer use by increasing farmers' human capital. Additionally, Internet promotion policy can also help reduce farmers' reliance on chemical fertilizers.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Kai Tang, Chun Xiong, Yiting Wang, Di Zhou
Summary: Analyzing carbon emissions efficiency in Chinese cities using the SBM model revealed improvements in efficiency and the existence of club convergence, with significant spatial agglomeration and spillover effects influencing the urban carbon emissions efficiency.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Kai Tang, Yichun Liu, Di Zhou, Yuan Qiu
Summary: This study examines the impact of China's pilot carbon trading markets on cities' carbon intensity, finding that the emission trading system significantly decreased carbon intensity in pilot cities and the reduction effect increased over time. The system achieved this through increasing the proportion of tertiary industry output value in GDP and decreasing energy intensity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Kai Tang, Mingzhe Wang, Di Zhou
Summary: The study shows that the dryland agricultural sector has the potential to reduce greenhouse gas emissions, with relatively low costs. This can help save agricultural inputs and contribute to cost-effective mitigation efforts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Kai Tang, Ye Zhou, Xiaoyu Liang, Di Zhou
Summary: This paper evaluates the effectiveness and heterogeneity of China's pilot ETS, the first of its kind in a developing economy. The results show that the pilot ETS effectively reduces carbon emissions in pilot industries, with substantial heterogeneity in effects across different provinces and industries. The reduction in emissions is attributed to technological innovation and industrial restructuring. Policy implications include considering a national ETS and differentiated carbon quotas for different regions and industries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Jianxin Wu, Ziwei Feng, Kai Tang
Summary: The study shows a U-shaped trend of urban environmental performance in Chinese cities from 2002 to 2014, primarily driven by energy conservation and pollutant reduction. Better environmental performance was observed in eastern regions and larger cities, while the deterioration in capital efficiency impacted overall environmental performance.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Thermodynamics
Jianxin Wu, Hui Xu, Kai Tang
Summary: Industrial agglomeration has complex impacts on urban CO2 emissions, including scale effect, composition effect, and technique effect. The influence of agglomeration on CO2 emissions varies by region, with the technique and composition effects offsetting the scale effect in eastern cities, while the scale effect being more prominent in central and western cities. China's regional development programs have affected the environmental efficiency gains from industrial agglomeration.
Article
Environmental Sciences
Najaf Iqbal, Kashif Raza Abbasi, Riazullah Shinwari, Wan Guangcai, Munir Ahmad, Kai Tang
Summary: Achieving carbon neutrality is crucial for both developed and developing countries, with strategies such as export diversification and eco-innovation playing significant roles. The study suggests that export diversification and fiscal decentralization may increase carbon emissions, while renewable energy consumption and environmental-related technological innovation ensure environmental improvements. Short-term causal links were found running from fiscal decentralization, export diversification, and environmental-related technological innovation to carbon emissions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Environmental
Xiude Chen, Guocai Chen, Miaoxin Lin, Kai Tang, Bin Ye
Summary: This paper explores the impact of anti-corruption on green innovation investments in China's energy-intensive industries. The results show that anti-corruption has a positive effect on stimulating enterprises' green innovation, especially in regions with more government intervention and state-owned enterprises with significant R&D investments. Political connection also plays an intermediary role in this process.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Fang Yuan, Kai Tang, Qinghua Shi, Weinian Qiu, Mingzhe Wang
Summary: This study examines the influence of women's decision-making role on chemical fertiliser use in developing and transition economies. The results show that households with formal female heads use less fertiliser, while households with informal female heads use more fertiliser. However, the impact of formal female household heads is insignificant when the family's major agricultural income comes from grain production, and the influence of informal female household heads is insignificant for those living in coastal areas. Therefore, it is recommended to empower women, provide stronger support, and promote family reunions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Agricultural Economics & Policy
Kai Tang, Chunbo Ma
Summary: This study assesses the cost-effectiveness of China's agricultural GHG reduction under diverse carbon policies. The results indicate that no significant improvement had been achieved in terms of agricultural GHG reduction in China during 2008-2017. The country's agricultural sector could reduce 20-40% GHG emissions with a mean value of 31%. The average MAC for the whole country is 4,656 yuan/ton CO(2)e during 2008-2017.
CHINA AGRICULTURAL ECONOMIC REVIEW
(2022)
Article
Environmental Sciences
Kai Tang, Qianbo Chen, Weijie Tan, Yi Jun Wu Feng
Summary: This study extends the limited evidence of the China context by establishing a panel fixed-effect model and finds that financial deepening contributes to carbon reductions, especially through stimulating green innovation.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Kai Tang
Summary: In developing countries, rural-urban migration has led to left-behind women becoming key decision makers and taking on more responsibility in agricultural production. This study examines the impact of left-behind women on fertilizer use, using nationwide household survey data from China. The findings suggest that households with recognized left-behind women use less fertilizer compared to those with recognized men, but households with de facto left-behind women use more fertilizer. The study highlights the need for policy efforts to empower left-behind women in socioeconomic decision-making to address rural environmental degradation.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2023)
Article
Development Studies
Xiangfeng Ji, Muhammad Umar, Shahid Ali, Wajid Ali, Kai Tang, Zeeshan Khan
Summary: This study shows that fiscal decentralization can help reduce CO(2) emissions and improve the environment. Additionally, an increase in GDP, eco-innovation, and renewable energy usage can also contribute to lowering CO(2) emissions. The study recommends that policies targeting green growth, fiscal decentralization, GDP, eco-innovation, and renewable energy will have a long-term impact.
SUSTAINABLE DEVELOPMENT
(2021)
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.
