Review
Green & Sustainable Science & Technology
Lishan Sun, Tong Zhang, Shuli Liu, Kun Wang, Tom Rogers, Liya Yao, Pengfei Zhao
Summary: The paper reviews the policies and regulations in Beijing's transportation sector, focusing on the implementation of various measures and summarizing the lessons learned. The key finding suggests that the implementation of driving restriction policy can significantly restrain pollutants emissions, emphasizing the need to pay more attention to emissions from private cars as well.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Huihui Wang, Wanyang Shi, Hanyu Xue, Wanlin He, Yuanyuan Liu
Summary: As a market-based tool, transport fee-charging policies can effectively reduce traffic congestion and improve air quality. This study focuses on the role of fee-charging policies in reducing carbon emissions from urban transportation. The findings show that adjusting fee structures can reduce transportation carbon emissions, but technical inefficiency is a major issue in policy implementation.
Article
Thermodynamics
Xinxin Zhang, Zhenlei Li, Jingfu Wang
Summary: The COVID-19 pandemic has significantly impacted the transportation industry in China, affecting energy consumption and CO2 emissions of both fuel vehicles and battery electric vehicles. Compared to the SARS epidemic, COVID-19 had a larger impact on transportation energy consumption and emissions. Energy conservation and emission reduction efforts are still needed after the pandemic, and the findings will provide valuable reference for the government in promoting energy conservation and emission reduction in the transportation sector.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Environmental Sciences
Tangyang Jiang, Yang Yu, Bo Yang
Summary: With China's focus on green and low-carbon development, the transportation industry still has high carbon emissions. This study examines the carbon emissions and reduction effects of China's transportation industry in the early and late stages of economic new normal. The findings highlight the importance of optimizing energy consumption structure and utilizing low-carbon energy sources for emissions reduction, while the input structure effect has less impact. Furthermore, the final demand effect is identified as the main driving factor for CO2 emissions growth in the transportation industry.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Qiwei Xie, Kun Shi, Xiao Wu, Wuling Huang, Xiaolong Zheng, Yongjun Li
Summary: This article investigates the efficiency of transportation in China by dividing the transportation process into two stages and using an improved data envelopment analysis model to evaluate the transportation efficiency and energy consumption of each province. Furthermore, spatial econometric methods are used to analyze the impact factors and spatial spillover effects of transportation economic efficiency. The results show a significant positive spatial correlation in the transportation economic efficiency among Chinese provinces, with an increase in per capita gross domestic product, highway transportation, and the proportion of secondary industry having negative effects on transportation economic efficiency.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Qiwei Xie, Kun Shi, Xiao Wu, Wuling Huang, Xiaolong Zheng, Yongjun Li
Summary: This article analyzes and measures the efficiency, energy consumption, and CO2 emissions of transportation in China through improving the mathematical model, aiming to achieve energy conservation, emissions reduction, and efficiency improvement. Moreover, it studies the influencing factors of transportation economic efficiency and spatial spillover effects among regions using spatial econometric methods. Finally, reasonable suggestions for the development of transportation in different regions are presented.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Environmental Sciences
Audrey H. Goeckner, Mary G. Lusk, Alexander J. Reisinger, Jacob D. Hosen, Joseph M. Smoak
Summary: Observational study reveals that stormwater ponds can be net carbon sources and should be considered in regional and global carbon models.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Huihui Wang, Wanyang Shi, Wanlin He, Hanyu Xue, Weihua Zeng
Summary: To reduce traffic CO2 emissions, we propose a complex model combining multiagent-based and system dynamics models. By exploring the interaction among urban socioeconomic development, low-carbon transportation, environmental economic policies, and other factors, we simulate the urban traffic CO2 emissions system and policies, investigate the impact of different strategies and select an optimal policy scheme.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Chengzhe Li, Libo Zhang, Zihan Ou, Jiayu Ma
Summary: This paper establishes a system dynamics model to analyze the impact of government subsidy policies on the development of the green hydrogen industry in China. The results show that a flexible combination subsidy policy can promote the industry's development, but the subsidy intensity should gradually decline.
Article
Engineering, Electrical & Electronic
Pengfei Zhao, Shuangqi Li, Paul Jen-Hwa Hu, Chenghong Gu, Zhidong Cao, Yue Xiang
Summary: This article presents a co-optimization approach for water-energy-carbon nexus, aiming to achieve efficient operation of urban energy systems while reducing water waste and carbon emissions. By modeling the interdependencies between power, gas, and water systems, a two-stage robust optimization method is proposed to minimize costs, decrease carbon emissions, and reduce water waste.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Ploy Achakulwisut, Peter Erickson, Celine Guivarch, Roberto Schaeffer, Elina Brutschin, Steve Pye
Summary: The Intergovernmental Panel on Climate Change's mitigation scenarios database is a valuable resource for policymakers, but there are variations in models and scenario designs. This analysis focuses on scenarios with warming limited to 2 degrees C or below, examining the feasibility and trajectory of different fossil fuel reduction pathways. The findings emphasize the importance of clear reduction benchmarks in coal, oil, and gas production and use, along with other climate mitigation targets.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Logan E. Mitchell, John C. Lin, Lucy R. Hutyra, David R. Bowling, Ronald C. Cohen, Kenneth J. Davis, Elizabeth DiGangi, Riley M. Duren, James R. Ehleringer, Clayton Fain, Matthias Falk, Abhinav Guha, Anna Karion, Ralph F. Keeling, Jooil Kim, Natasha L. Miles, Charles E. Miller, Sally Newman, Diane E. Pataki, Steve Prinzivalli, Xinrong Ren, Andrew Rice, Scott J. Richardson, Maryann Sargent, Britton B. Stephens, Jocelyn C. Turnbull, Kristal R. Verhulst, Felix Vogel, Ray F. Weiss, James Whetstone, Steven C. Wofsy
Summary: Urban regions are major contributors to greenhouse gas emissions. Increasing numbers of urban policymakers and stakeholders are taking action to reduce emissions and establish monitoring networks. However, the coordination among these efforts is limited, necessitating the integration of urban observations to enable comprehensive analyses and address scientific questions.
Article
Energy & Fuels
Ji Min, Gongxing Yan, Azher M. Abed, Samia Elattar, Mohamed Amine Khadimallah, Amin Jan, H. Elhosiny Ali
Summary: During the anthropocentric period, sustainable energy supply and climate change pose significant problems for humans. The building sector is a major contributor to carbon dioxide (CO2) emissions, and reducing a building's energy consumption and environmental impact is crucial. This can be achieved through the use of zero-energy buildings and sustainable clean energy, resulting in savings in energy, CO2, and improved building performance.
Article
Construction & Building Technology
Yu Qian Ang, Zachary Michael Berzolla, Samuel Letellier-Duchesne, Violetta Jusiega, Christoph Reinhart
Summary: This paper presents UBEM.io, a web-based framework designed to help cities and municipalities conduct low-cost, rapid energy and carbon emissions scenario studies. The framework automates the generation of urban-scale building geometries, assigns simulation templates from a pre-populated library, matches templates to individual buildings, and visualizes simulation results for various carbon emissions reduction pathways. UBEM.io has been successfully deployed in multiple cities around the world.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
Jianmiao Liu, Junyi Li, Yong Chen, Song Lian, Jiaqi Zeng, Maosi Geng, Sijing Zheng, Yinan Dong, Yan He, Pei Huang, Zhijian Zhao, Xiaoyu Yan, Qinru Hu, Lei Wang, Di Yang, Zheng Zhu, Yilin Sun, Wenlong Shang, Dianhai Wang, Lei Zhang, Simon Hu, Xiqun (Michael) Chen
Summary: This paper proposes a method to estimate and analyze urban passenger transportation carbon emissions based on sparse trip trajectory data, using Hangzhou as a case study. The results show that urban expressways have the highest hourly carbon emissions. The potential applications of the developed methods and platform in smart mobility management and green transportation policies are also discussed.
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.