4.8 Article

Exploring the characteristics of production-based and consumption-based carbon emissions of major economies: A multiple-dimension comparison

Journal

APPLIED ENERGY
Volume 184, Issue -, Pages 790-799

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.06.076

Keywords

Consumption-based accounting; Production-based accounting; CO2 emissions; Climate change; Mitigation responsibility

Funding

  1. National Natural Science Foundation of China [71020107026, 71503249]
  2. program of Beijing-funded Plan for Talents [2015000020124G122]
  3. Open Research Project of State Key Laboratory of Coal Resources and Safe Mining (China University of Mining and Technology) [SKLCRSM14KFB03]

Ask authors/readers for more resources

Addressing climate change requires the efforts of all countries with common but differentiated responsibilities. The mitigation responsibilities one country takes greatly depends on its national emission inventories. As a good complement to the production-based accounting (PBA) principle, consumption based accounting (CBA) principle has been widely concerned. However, few studies focus on emissions equity issues temporally and spatially. In this paper, we explore the characteristics of production based and consumption-based CO2 emissions for 14 major economies through multiple-dimension comparisons to get insight into the emissions equity comparisons among major emitters. In particular, four categories of economies with different dynamic features are divided based on their percentage differences between PBA and CBA emissions. Demographical and economic variables are additionally taken into consideration. The results indicate that France and Russia hold extreme characteristic on evaluating the emission difference between two principles, while China and Chinese Taiwan reveal uniquely increasingly larger gaps between two principle emissions. Besides, the per capita CBA emissions grows more prominently and possesses a more obviously positive correlation with their own per capita GDP which confirms that CBA principle is potentially attractive for estimating national emissions. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Environmental Sciences

Inclusive wealth index measuring sustainable development potentials for Chinese cities

Danyang Cheng, Qianyu Xue, Klaus Hubacek, Jingli Fan, Yuli Shan, Ya Zhou, D' Maris Coffman, Shunsuke Managi, Xian Zhang

Summary: The UN Sustainable Development Goals provide a blueprint for a better future, and it is crucial to track progress at both national and local levels. While China has advanced national-level sustainability assessments, there is a lack of similar assessments at the regional and city levels. Using the Inclusive Wealth Index framework, the study analyzed the sustainability performance of 210 cities in China and found disparities in human and produced capital, impacting sustainability performance across different regions.

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS (2022)

Article Ecology

Measuring sustainability: Development and application of the Inclusive Wealth Index in China

Jing-Li Fan, Kai Li, Xian Zhang, Jiawei Hu, Klaus Hubacek, Yabin Da, Xi Liang, Danyang Cheng

Summary: This study extends the traditional three-component IWI framework into six disaggregated components and applies it to China to evaluate sustainability performance at the provincial level. The results show that China continues to develop, but gender inequality hinders IWI growth.

ECOLOGICAL ECONOMICS (2022)

Article Thermodynamics

A levelized cost of hydrogen (LCOH) comparison of coal-to-hydrogen with CCS and water electrolysis powered by renewable energy in China

Jing-Li Fan, Pengwei Yu, Kai Li, Mao Xu, Xian Zhang

Summary: This study analyzed the production cost, cost structure, and regional differences of various hydrogen production technologies in China, finding that coal-to-hydrogen coupled CCS is cost-effective in northwestern regions, while hydrogen production via renewable energy-based water electrolysis currently lacks cost advantage in most regions.

ENERGY (2022)

Article Environmental Sciences

A global comparison of carbon-water-food nexus based on dietary consumption

Jing-Li Fan, Xiaowei Feng, Yangyang Dong, Xian Zhang

Summary: Studying the environmental impact of dietary consumption is crucial for achieving sustainable development goals. This research utilized an Environmentally Extended Multi-Regional Input-Output (EE-MRIO) model to explore the regional heterogeneity and synergy in the carbon-water-food nexus in nine countries. The findings reveal that dietary consumption is the main use of water withdrawal, high consumption of animal products contributes to high dietary carbon footprints, and developed countries with an animal-based diet have a higher share of imported footprints.

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS (2022)

Article Engineering, Environmental

The role of carbon capture, utilization and storage in realizing China's carbon neutrality: A source-sink matching analysis for existing coal-fired power plants

Kai Li, Shuo Shen, Jing-Li Fan, Mao Xu, Xian Zhang

Summary: This paper investigates the role of carbon capture, utilization and storage (CCUS) technology in coal-fired power plants (CFPPs) in reducing CO2 emissions and achieving China's carbon neutrality target. The study finds that China's existing CFPPs have significant retrofitting potential, but the best window for retrofitting is short and will soon close.

RESOURCES CONSERVATION AND RECYCLING (2022)

Article Economics

The impact of different incentive policies on new energy vehicle demand in China?s gigantic cities

Yujiao Xian, Qian Wang, Wenrong Fan, Yabin Da, Jing-Li Fan

Summary: This study investigates the impact of license plate control and preferential policies on the demand for NEVs in China's gigantic cities. The results show that license plate auctions have a better incentive effect, and tax exemption policies significantly promote the demand.

ENERGY POLICY (2022)

Article Economics

Research on carbon neutrality from the past to the future: a bibliometric analysis

Jing-Li Fan, Zixia Ding, Kai Li, Qian Wang, Xian Zhang

Summary: This study conducted a bibliometric analysis of the carbon neutrality field. It found that many countries have made carbon neutrality pledges in response to climate change, with the US being the dominant player and China surpassing the UK in terms of publication quantity. Furthermore, academic collaboration among the top 20 productive countries was extensive.

JOURNAL OF CHINESE ECONOMIC AND BUSINESS STUDIES (2023)

Editorial Material Environmental Sciences

Editorial: Toward carbon neutrality: Spatial planning and sustainable utilization of natural resource

Jingying Fu, Ayman Elshkaki, Monica Salvia, Xian Zhang, Jingli Fan

FRONTIERS IN ENVIRONMENTAL SCIENCE (2023)

Article Construction & Building Technology

Energy-related CO2 emissions of urban and rural residential buildings in China: A provincial analysis based on end-use activities

Xinmeng Guan, Siyue Guo, Jie Xiong, Guowei Jia, Jing-Li Fan

Summary: Energy consumption and CO2 emissions of Chinese residents are increasing, with significant differences among provinces, urban and rural areas. Analyzing these factors helps better understand CO2 emissions in this sector.

JOURNAL OF BUILDING ENGINEERING (2023)

Article Environmental Sciences

Heterogeneous responses to climate: evidence from residential electricity consumption

Yabin Da, Bin Zeng, Jing-Li Fan, Jiawei Hu, Lanlan Li

Summary: Existing studies have found that climate change has significant effects on residential electricity consumption, but the differences in responses to climate change between rural and urban residents, and the role of electricity pricing regimes in determining these responses, are still largely unknown. This study examines these issues using monthly data from Anhui province in China. The results suggest that, on average, rural residents are more sensitive to changes in temperature than urban residents, and households that adopt time of use pricing regimes are less responsive to temperatures compared to households with tiered pricing regimes. The findings also indicate that substantial increases in electricity demand are expected in the future due to climate change, with urban and rural residents in 2080 projected to experience an increase of 35.5% and 77.1% in electricity demand, respectively, compared to 2017.

CLIMATIC CHANGE (2023)

Article Green & Sustainable Science & Technology

Complementary potential of wind-solar-hydro power in Chinese provinces: Based on a high temporal resolution multi-objective optimization model

Jing-Li Fan, Xi Huang, Jie Shi, Kai Li, Jingwen Cai, Xian Zhang

Summary: In the context of carbon neutrality, renewable energy, especially wind power, solar PV and hydropower, will become the most important power sources in the future low-carbon power system. An assessment of renewable energy potential considering the variability of wind power and solar PV with high temporal resolution in different regions is crucial for accurate identification of the decarbonization pathway of power system. The results of this study show that China has a total annual complementary power generation potential of 17.57 PWh, with Inner Mongolia and Tibet being the major renewable energy source provinces.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2023)

Article Multidisciplinary Sciences

A net-zero emissions strategy for China's power sector using carbon-capture utilization and storage

Jing-Li Fan, Zezheng Li, Xi Huang, Kai Li, Xian Zhang, Xi Lu, Jianzhong Wu, Klaus Hubacek, Bo Shen

Summary: Decarbonized power systems are crucial for addressing climate change. This study develops a simulation model to explore the optimal solution for a reliable and resilient near-zero power system using carbon capture, utilization, and storage. The findings suggest that allowing up to 20% of abated fossil fuel power generation could significantly reduce the power shortage rate in China by 2050 and increase system resilience.

NATURE COMMUNICATIONS (2023)

Article Environmental Sciences

Co-firing plants with retrofitted carbon capture and storage for power-sector emissions mitigation

Jing-Li Fan, Jingying Fu, Xian Zhang, Kai Li, Wenlong Zhou, Klaus Hubacek, Johannes Urpelainen, Shuo Shen, Shiyan Chang, Siyue Guo, Xi Lu

Summary: Coal-biomass co-firing power plants with retrofitted carbon capture and storage are seen as a promising decarbonization solution for coal-dominant energy systems. Framework with spatially explicit biomass sources, plants and geological storage sites demonstrate its effectiveness in China.

NATURE CLIMATE CHANGE (2023)

Article Energy & Fuels

Lifecycle carbon footprint and cost assessment for coal-to-liquid coupled with carbon capture, storage, and utilization technology in China

Jingjing Xie, Kai Li, Jingli Fan, Xueting Peng, Jia Li, Yujiao Xian

Summary: The coal-to-liquid coupled with carbon capture, utilization, and storage technology has the potential to reduce CO2 emissions, but its carbon footprint and cost assessment are still insufficient. This study evaluates the carbon footprint and levelized costs of direct-coal-to-liquid and indirect-coal-to-liquid coupled with the carbon capture utilization and storage technology. The results show that the technology can significantly reduce CO2 emissions and the levelized cost varies based on the scenario.

FRONTIERS IN ENERGY (2023)

Article Economics

Investment decisions on carbon capture utilization and storage retrofit of Chinese coal-fired power plants based on real option and source-sink matching models

Jing-Li Fan, Zezheng Li, Zixia Ding, Kai Li, Xian Zhang

Summary: Carbon Capture Utilization and Storage (CCUS) is the only technological option for decarbonizing existing coal-fired power plants (CFPPs) deeply, yet its current scale is far from the level required to meet global climate goals. This study quantifies the critical carbon prices for CCUS investment at different emission reduction potentials in China and provides investment strategies.

ENERGY ECONOMICS (2023)

Article Energy & Fuels

Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Evaluation method for the availability of solar energy resources in road areas before route corridor planning

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Impacts of PTL coating gaps on cell performance for PEM water electrolyzer

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

The establishment of evaluation systems and an index for energy superpower

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A model-based study of the evolution of gravel layer permeability under the synergistic blockage effect of sand particle transport and secondary hydrate formation

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Enhancement of hydrogen production via optimizing micro-structures of electrolyzer on a microfluidic platform

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Archery-inspired catapult mechanism with controllable energy release for efficient ultralow-frequency energy harvesting

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Capacity fade prediction for vanadium redox flow batteries during long-term operations

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings

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.

APPLIED ENERGY (2024)