Article
Construction & Building Technology
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
Construction & Building Technology
Kairui You, Yanhui Yu, Yuanli Li, Weiguang Cai, Qingwei Shi
Summary: The study quantified carbon emissions from residential central heating (RCH) in China from 2000 to 2017 and found that area-related energy intensity is a key driver in reducing RCH carbon emissions. Different provinces should implement emission mitigation strategies differently, with Shandong and Xinjiang focusing on decreasing area-related energy intensity, while Heilongjiang and Jilin should concentrate on reducing emission factors.
ENERGY AND BUILDINGS
(2021)
Article
Thermodynamics
Yisheng Liu, Meng Yang, Feiyu Cheng, Jinzhao Tian, Zhuoqun Du, Pengbo Song
Summary: The achievement of China's carbon dioxide (CO2) emission reduction target is of great significance. The article proposes a GDIM-based decomposition method to analyze the drivers that influence CO2 emissions in China from 2000 to 2017. The results indicate that investment activity is the primary element in promoting China's carbon emissions, while investment carbon intensity is a vital inhibitory factor.
Article
Environmental Sciences
Ran Yan, Xiwang Xiang, Weiguang Cai, Minda Ma
Summary: This study reveals that operational carbon emissions from residential buildings in China increased from 2000 to 2018, with provinces in northern China reaching peak decarbonization before 2008, while central and eastern provinces peaked around 2014. Southern provinces continued to show growth in decarbonization efforts. High levels of decarbonization and efficiency were observed in northern and southwestern provinces.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Economics
Ivan Mendieta-Munoz, Codrina Rada, Ansel Schiavone, Rudi von Arnim
Summary: This paper analyzes the US payroll share and components across states for the period 1977-2017, finding a decoupling phenomenon between labor productivity and real wages.
Article
Environmental Sciences
Ruimin Chen, Xiaojun Ma, Yanqi Song, Mengyu Wang, Yijie Fan, Yuanbo Yu
Summary: A comprehensive understanding of carbon emission reduction and decoupling in urban agglomerations of the Yellow River Basin has significant theoretical and practical value. This study found that technological progress and output scale are primary drivers of carbon emission increases, while technological carbon intensity, output carbon intensity, and energy carbon intensity play key roles in reducing carbon emissions. Overall, the urban agglomerations in the Yellow River Basin have not achieved decoupling effects on carbon emissions, except for a few years.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Economics
Jakub Boratynski
Summary: This paper introduces a simplified decomposition formula that aims to identify key contributors by unraveling the pattern of structural change, highlighting the interpretation of individual share effects.
Article
Engineering, Environmental
Shulei Cheng, Yongtao Chen, Fanxin Meng, Jiandong Chen, Gengyuan Liu, Malin Song
Summary: By analyzing data from 279 cities in China, it was found that cities with similar socio-economic conditions exhibit emission differences, mainly influenced by the carbon intensity of local public expenditure and other public expenditures. Insights gained can provide feasible implications for Chinese cities in terms of CO2 emissions reduction policies.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Energy & Fuels
Min-Da Ma, Min-Xia Chen, Wei Feng, Jing-Wen Huo
Summary: Decarbonization in operational residential buildings worldwide is crucial for achieving carbon neutrality. The study reveals that most samples showed a decrease in total emissions from 2000 to 2019, except for China and the United States. Carbon intensity plays a significant role in the coupling of economic development and carbon emissions, with China exhibiting weaker coupling over the past two decades.
Article
Green & Sustainable Science & Technology
Peng Chen, Hanwen Wang, Mingxing Guo, Jianjun Wang, Sinan Cai, Min Li, Kaining Sun, Yukun Wang
Summary: Understanding the drivers of embodied carbon emissions and the impact of inter-provincial trade is crucial for developing localized climate mitigation strategies. This study examines the flow of embodied carbon between provincial departments in Shanghai and reveals that activity effect drives carbon emissions while technique effect reduces embodied carbon. It is important for Shanghai to avoid the low-carbon trap and continue adjusting its industrial structure and increasing the use of low-carbon energy for carbon reduction.
Article
Green & Sustainable Science & Technology
Junghwan Lee, Jinsoo Kim
Summary: This study analyzes changes in energy consumption of the Korean manufacturing sector through index decomposition analysis and activity revaluation approaches. Findings suggest that understanding the production effect based on physical activities is crucial for climate policy-making.
Article
Energy & Fuels
Juan David Rivera-Niquepa, Daniela Rojas-Lozano, Paulo M. De Oliveira-De Jesus, Jose M. Yusta
Summary: The Logarithmic Mean Divisia Index Decomposition Analysis (IDA-LMDI) is a widely used statistical technique in various fields. It helps identify the drivers behind changes in carbon dioxide emissions over time. However, previous studies have used fixed periods for analysis, which fails to capture changing trends in the data. This study proposes a new methodology for selecting periods, which improves the accuracy of the analysis.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Jingjing Chen, Yangyang Lin, Xiaojun Wang, Bingjing Mao, Lihong Peng
Summary: Household consumption is an important field of carbon dioxide emissions, and the disparities and influencing factors of household carbon emissions (HCEs) between urban and rural residents are relevant to emissions reduction. Taking Fujian as the study area, the effects of influencing factors on direct household carbon emissions (DHCEs) and indirect carbon emissions (IHCEs) of urban and rural residents from 2006 to 2018 were analyzed using LMDI and SDA models. The study found that HCEs have been continuously rising with urban areas contributing a higher proportion, but the gap between urban and rural per capita HCEs is narrowing. Per capita consumption expenditure has the largest positive impact on carbon emissions in both urban and rural areas.
Article
Environmental Studies
Etem Karakaya, Erkam Sari, Sedat Alatas
Summary: This study investigates the main driving forces behind material use of the EU in the case of heterogeneity between member states, identifying significant differences and unique characteristics among different "clubs". The findings highlight the importance of market-based tools for consumption-based climate mitigation and the varying effects of different factors on material consumption.
Article
Green & Sustainable Science & Technology
Han Sun, Chao Huang, Shan Ni
Summary: This study used an input-output model and the generalized Divisia index to analyze the consumption-driven PM2.5 emissions in China's six major industries. It found that changes in industrial PM2.5 emissions had a significant impact on China's total PM2.5 emissions changes, with investment scale playing the biggest role in contributing to the increase of PM2.5 emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Environmental Sciences
Iris M. H. Yeung, William Chung
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2018)
Article
Computer Science, Artificial Intelligence
William Chung
EXPERT SYSTEMS WITH APPLICATIONS
(2019)
Article
Engineering, Environmental
William Chung, Iris M. H. Yeung
Article
Construction & Building Technology
William Chung, Iris M. H. Yeung
ENERGY AND BUILDINGS
(2020)
Article
Green & Sustainable Science & Technology
William Chung, Iris M. H. Yeung
Summary: This paper examines the recent energy use intensity in Hong Kong's secondary schools and analyzes the energy performance factors through a two-stage regression-based approach. The study finds that the electricity tariff does not significantly affect the energy efficiency of schools, suggesting that funding policies may be more influential in motivating schools to improve energy performance.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2021)
Article
Environmental Sciences
Iris M. H. Yeung, William Chung
Summary: The study used data mining models to predict residents' maximum willingness to pay and employed ratio estimation method to estimate the effectiveness of waste charging policy in Hong Kong. The results suggest that majority of respondents may accept the policy, but some residents may struggle to pay or not be influenced by the policy.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Automation & Control Systems
William Chung
Summary: This paper presents a novel fuzzy nonparametric regression method by dividing the fuzzy regression model into three submodels and using a convex nonparametric least squares approach for fitting each submodel. The resulting fuzzy non-linear regression model shows better goodness of fit compared to traditional fuzzy least squares methods and is less sensitive to outliers.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Economics
William Chung
Summary: This paper discusses the use of the Dantzig-Wolfe (DW) decomposition method for solving a class of constrained variational inequality (VI) problems. The decomposed VI problem includes a subproblem consisting of all structural constraints, and a master problem with dummy linking constraints. The efficiency of the method depends on the specific VI problems.
COMPUTATIONAL ECONOMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yongtong Chen, William Chung
Summary: This study proposes three approaches to resolve the issue of multidimensional overlapping criteria in sustainable supplier evaluation using data envelopment analysis methods. Results from an empirical case study suggest that the third approach is more effective in balancing the development among all dimensions, rather than focusing on a single superior dimension to achieve high performance.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2023)
Proceedings Paper
Telecommunications
William Chung
MOBILE AND WIRELESS TECHNOLOGY 2018, ICMWT 2018
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Iris M. H. Yeung, William Chung
IEEE 20TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS / IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITY / IEEE 4TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS)
(2018)
Proceedings Paper
Engineering, Industrial
W. Chung
2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM)
(2017)
Article
Energy & Fuels
William Chung, Iris M. H. Yeung
Proceedings Paper
Engineering, Industrial
William Chung
2017 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, MANAGEMENT SCIENCE AND APPLICATION (ICIMSA 2017)
(2017)
Article
Social Sciences, Interdisciplinary
Qinhua Xu, William Chung
ECONOMIC AND POLITICAL STUDIES-EPS
(2018)
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.
