Article
Green & Sustainable Science & Technology
Joao Meirelles, Fabiano L. Ribeiro, Gabriel Cury, Claudia R. Binder, Vinicius M. Netto
Summary: This paper examines the impact of Brand's Law on carbon footprint using a consumption-based approach, finding that Brand's Law does not hold true when considering consumption-based carbon emissions. The results suggest that larger cities with greater purchasing power lead to increased consumption of goods and higher associated greenhouse gas emissions.
Article
Energy & Fuels
Li Kong, Guangwen Hu, Xianzhong Mu, Li Guohao, Zheng Zhang
Summary: With the increasing pressure for energy conservation in Beijing, improving energy efficiency has become more necessary. However, the energy rebound effect may undermine the effectiveness of these energy-saving measures. This paper evaluates the energy rebound effects of different commodity groups in urban and rural households in Beijing using the LA-AIDS model and simulation analysis. The results suggest that the energy consumption of both urban and rural residents shows a partial rebound in most years, with rural residents experiencing a higher rebound effect after 2010. The main source of the energy rebound effect is the income effect from commodity price changes.
Article
Environmental Sciences
Cristian Mardones, Jose Ortega
Summary: This study aims to determine the individual and combined effect of taxes on CO2 and other local air pollutants currently applied in Chile. The results show that environmental taxes reduce net CO2 emissions and have significant impacts on GDP, with the carbon tax being the most important factor.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Thermodynamics
Cristina Sarasa, Karen Turner
Summary: This paper discusses the importance of energy efficiency and renewable energy in improving efficiency and reducing energy use, as well as the potential rebound effects that may arise. The research findings indicate that by improving energy efficiency in households and promoting competitive supply of renewable energy, it is possible to effectively reduce energy consumption and benefit the economy.
Article
Green & Sustainable Science & Technology
Zhengjie Chen, Yanyan Tan, Juan Xu
Summary: China, as the world's largest carbon emitter, faces serious air pollution problems. The coal-to-gas policy, aimed at promoting cleaner energy sources, caused natural gas shortages due to inflexibility in its early implementation, impacting households negatively. Research shows that gradually increasing gas substitution ratios is feasible and can eventually achieve full substitution, effectively avoiding shortages and promoting coordinated control of carbon dioxide and air pollution emissions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Kerui Du, Xueyue Liu, Cheng Zhao
Summary: Improving energy efficiency is considered effective in addressing climate warming and environmental degradation, but recent studies have found that it may lead to rebound effects. This paper aims to fill the literature gaps by exploring the role of environmental regulation in shaping the energy rebound effect. Using China's environmental policy as a case study, the findings suggest that environmental regulation plays a positive role in limiting the energy rebound effect.
Article
Environmental Sciences
Michelle Mongo, Fateh Belaid, Boumediene Ramdani
Summary: This study analyzes the impact of environmental innovations, consumption of renewable energies, GDP per capita, and economic openness on CO2 emissions in 15 European countries over 23 years using an ARDL model. The results suggest that environmental innovations can lower CO2 emissions in the long-term, but may have a rebound effect in the short-term. The study recommends the introduction of new policies combining tools from environmental economics and ecological economy to encourage individuals to consume differently and favor products/services with less negative impact on the environment.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Green & Sustainable Science & Technology
Qian Chen, Donglan Zha, Lijun Wang, Guanglei Yang
Summary: This paper investigates the direct rebound effect of carbon emissions in urban households at the provincial level in China. The results show that CO2 emissions from household energy consumption are increasing in most provinces. Different types of rebound effects exist among urban households, and these differences should be taken into account when formulating energy policies to avoid overestimating carbon reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Chuanwang Sun, Zhilong Chen, Zhiru Guo, Huixin Wu
Summary: China's rapid economic development has resulted in excessive energy consumption and the emergence of energy rebound effect. This paper examines the energy rebound effect in various industries in China and finds that the indirect rebound effect is higher than the direct rebound effect in most sectors. The study also reveals a correlation between energy efficiency, industry forward linkage degree, and the energy rebound effect.
Article
Engineering, Environmental
Wenwen Yang, Tingting Wu
Summary: This study reports a newly-developed advanced oxidation process (AOP), plasmon-enhanced catalytic ozonation, for the treatment of recalcitrant organic pollutants. The study shows that this AOP has low energy consumption and byproduct formation, making it a promising technology for water treatment and reuse applications.
Article
Thermodynamics
Zhijie Jia, Boqiang Lin
Summary: This paper innovatively divides the emission mitigation effect of technological progress into different types and simulates the effects of technological progress in the power sector using a dynamic computable general equilibrium model. The results show that there is a trade-off between emission reduction, economic growth, and social welfare due to the rebound effect. Price regulation in the power sector can reduce the rebound effect as well as economic growth and social welfare. The study also finds that technological progress can affect economic indicators through commodity and factor markets.
Article
Thermodynamics
Ming Meng, Xinxin Li
Summary: The research finds that the rebound effect in electricity consumption in China has been significantly weakening the energy-saving efforts, with the effect level influenced by electricity prices intervened by local governments and the level of socioeconomic development. To address this issue, the Chinese government is advised to further advance market-oriented reforms in the electric power industry, reduce electricity price subsidies in developed regions, and regulate investments in generation expansion.
Article
Multidisciplinary Sciences
Guangqing Xu, Danze Huang, Xiaoyu Chen, Mengyao Chen
Summary: This study explores the energy rebound effects on China's domestic overall and various industries from the perspective of generalized technological progress using data from 2005 to 2017. The results indicate that the rebound effect of the domestic overall is mainly driven by the secondary sector. While the domestic overall and high-energy-consuming industries reduce the rebound effects, low-energy-consuming industries increase them. The findings suggest that the Industrial Restructuring Initiative implemented during the Eleventh Five-Year Plan has effectively mitigated the rebound effects of high-energy-consuming industries and offset the feedback effect within the economic system.
Article
Green & Sustainable Science & Technology
Ruiqi Cheng, Peng Yuan, Hailong Li
Summary: This study investigates whether the reduction in pollution emissions from exporting is related to the stringency of environmental regulation. Using the two control zones policy in China as a natural experiment, the study finds that Chinese manufacturing firms can significantly reduce their SO2 emissions intensity through exporting, but only in the firms regulated by the two control zones policy. The study confirms for the first time that the abatement effect of exporting is driven by stringent environmental regulations. Further analysis reveals that the abatement effect is mainly achieved through firm investment in source control technologies.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Sciences
Yanyan Liu, Muhammad Tayyab Sohail, Arman Khan, Muhammad Tariq Majeed
Summary: The study examines the asymmetric impact of education and education expenditure on clean energy consumption and CO2 emissions in the BRICS economies. It finds that a positive change in education contributes to increasing clean energy consumption in Brazil, Russia, India, and China while a negative change in education expenditure degrades clean energy consumption in India, China, and South Africa in the long run. The empirical results show that education and education expenditure have long-run asymmetric effects in BRICS industries, providing robust policy implications for these economies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Correction
Green & Sustainable Science & Technology
Adrien Vogt-Schilb, Brian Walsh, Kuishuang Feng, Laura Di Capua, Yu Liu, Daniela Zuluaga, Marcos Robles, Klaus Hubacek
NATURE SUSTAINABILITY
(2023)
Article
Environmental Sciences
Guangxiao Hu, Kuishuang Feng, Laixiang Sun, Giovanni Baiocchi
Summary: Toxic chemicals have detrimental effects on the environment, climate, and human health, and their distribution is currently unfair across different regions. This study utilizes toxic release data in 2017 and extends the U.S. multi-regional input-output model to analyze the production and consumption-based accounting of toxic release by states and the inter-regional transfer of embodied toxic release. The findings demonstrate that the production-based toxic release is concentrated in central states and the Great Lakes Region, while consumption-based accounting shows more equal distribution across regions.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Benedikt Bruckner, Yuli Shan, Christina Prell, Yannan Zhou, Honglin Zhong, Kuishuang Feng, Klaus Hubacek
Summary: In our globalized economy, consumption of goods and services in the EU leads to environmental pressures and impacts that are mainly outsourced to non-EU countries, while the economic benefits stay within the EU but are unevenly distributed.
NATURE SUSTAINABILITY
(2023)
Article
Multidisciplinary Sciences
Ke Wang, Zhixin Wang, Yujiao Xian, Xunpeng Shi, Jian Yu, Kuishuang Feng, Klaus Hubacek, Yi-Ming Wei
Summary: Despite the lack of official documentation on the determination of the current sectoral coverage plan and preferred sectoral rollout plan of China's ETS, this study suggests a priority list of industries to be included. Using a comprehensive database, we estimate marginal abatement cost curves for over 500 four-digit industries, which account for more than 97% of industrial emissions. Our analysis highlights the cement industry as the next sector to be included in China's ETS, with potential cost reductions of 39.5-78.3% compared to the business-as-usual scenario.
Article
Engineering, Environmental
Shaojian Wang, Jieyu Wang, Xiangjie Chen, Chuanglin Fang, Klaus Hubacek, Xiaoping Liu, Chunshan Zhou, Kuishuang Feng, Zhu Liu
Summary: There is ongoing debate about the impact of international trade on the environment and human well-being, and little is known about the trade-off between them. This study explores the effect of international trade on the carbon intensity of human well-being globally. The findings show that international trade has led to a decrease in carbon intensity for high-income countries and an increase for lower-income countries, highlighting the importance of studying the impact of trade on the well-being of countries at different stages of development.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Binyuan Liu, Yuru Guan, Yuli Shan, Can Cui, Klaus Hubacek
Summary: Mainland Southeast Asian countries are expected to become hotspots for emission reduction due to rapid economic growth and energy consumption. This study provides emission inventories for 2010-2019, showing an increase in emissions in these countries. Economic growth is the main driver of emission growth, while biomass and coal play significant roles in carbon emissions. The study highlights the need for low-carbon roadmaps and can inform other emerging economies in developing their own strategies.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Quanliang Ye, Maarten S. Krol, Yuli Shan, Joep F. Schyns, Markus Berger, Klaus Hubacek
Summary: This study proposes an alternative approach to assess the CO2 responsibility of capital assets by allocating their required CO2 emissions over their lifespan. It improves the assessment of emission equity across generations. Capital assets, such as machinery and infrastructure, contribute significantly to CO2 emissions during their lifetime. The unique features of capital assets, such as their long durability, complicate the assignment of CO2 emissions to final beneficiaries. By allocating CO2 emissions embodied in capital assets over time, emission responsibility for the year of formation is reduced by 25-46% compared to conventional methods. This temporal allocation is important for assessing the equity of CO2 emissions across generations.
NATURE COMMUNICATIONS
(2023)
Article
Meteorology & Atmospheric Sciences
Patrick Olschewski, Patrick Laux, Jianhui Wei, Brian Boeker, Zhan Tian, Laixiang Sun, Harald Kunstmann
Summary: The effectiveness of adaptive measures to address the impacts of climate change depends on accurate climate projections, especially in the increasingly prevalent extreme events. Flooding poses a significant threat to vulnerable coastal urban areas, including major cities like Shanghai and Shenzhen in eastern Asia. Despite improvements in general circulation models (GCMs) and regional climate models (RCMs) for projecting atmospheric changes related to these events, biases still exist. This study evaluates the potential of enhancing regional climate projections for eastern Asia by employing bias adjustment methods, GCM-RCM model runs, and future emission scenarios.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Multidisciplinary Sciences
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
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)
Editorial Material
Environmental Sciences
Junguo Liu, Laixiang Sun, Zhan Tian, Qinghua Ye, Shiqiang Wu, Shuyu Zhang
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Tetsuji Tanaka, Laixiang Sun, Inbal Becker-Reshef, Xiao-Peng Song, Estefania Puricelli
Summary: Satellite forecasting of crop harvests in major exporting regions can trigger production reactions in the opposite hemisphere to offset short-term fluctuations and stabilize global food supply.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Environmental Sciences
Jingru Liu, Zhan Tian, Steven Dobbie, Andrew N. Ross, Laixiang Sun, Qinghua Ye
Summary: This study reveals the characteristics and changes of tropical cyclone-induced flooding in western Shenzhen, and proposes a modeling approach to quickly assess flood risks.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Zhuoran Liang, Laixiang Sun, Zhan Tian, Guenther Fischer, Huimin Yan
Summary: China's demand for grains is growing rapidly and is expected to continue increasing in the coming decades. While climate change has adverse impacts on rice, wheat, and maize yields, there has been a lack of study on changes in multi-cropping opportunities. However, the future shows significant expansions of multi-cropping zones, which can provide opportunities for adapting to climate change and boosting grain production.
Article
Multidisciplinary Sciences
Peipei Tian, Kuishuang Feng, Heran Zheng, Klaus Hubacek, Jiashuo Li, Honglin Zhong, Xiangjie Chen, Laixiang Sun
Summary: Understanding the impact of climate fiscal policies on vulnerable groups, especially the elderly, is crucial for equitable climate mitigation. This study quantifies and compares the distributional impacts of carbon pricing on different age-income groups in various countries, revealing that the elderly, particularly the low-income elderly, are more vulnerable to carbon pricing than younger groups in the same income bracket. The findings highlight the need for targeted social protection and climate mitigation policies to address the high vulnerability of the low-income elderly to carbon pricing.
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.
