Article
Environmental Sciences
Chenxi Huang, Wanyu Ren, Nudrat Fatima, Jiu Zhu
Summary: In the context of promotion tournaments among local governments, this study examines the impact of carbon intensity constraints on total factor carbon emission efficiency in China. The findings suggest that the implementation of these constraints leads to an increase in carbon emission efficiency, as well as a decrease in economic growth targets and pressure for local governments. Additionally, the effect of these constraints varies across regions and industries, highlighting the importance of considering heterogeneity.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Vishnupriya Kalathil Sahadevan, Umakanta Mishra
Summary: This study aims to develop an integrated sustainable circular model for the mobile industry that encourages the end-of-life processing of used mobile phones. The model explores retailer inspection and manufacturer remanufacturing and product recovery initiatives to identify e-waste as a valuable secondary source of raw materials. The feasibility of the suggested model in the mobile industry is verified numerically and theoretically, and the study concludes that implementing the circularity concept enhances supply chain profit without contributing to pollution.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Industrial
Amina Chelly, Imen Nouira, Atidel B. Hadj-Alouane, Yannick Frein
Summary: This paper examines the impact of different forms of progressive carbon taxes on supply chain decisions, profits, and environmental performance. Four multi-period technology selection models are developed, along with a carbon tax assessment method. The research shows that the relationship between green investment decisions and tax forms depends on target carbon tax, and governments should base their decision on taxation form on the performance of available green technologies.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Dongchao Yu, Xu Tan, Zehui Liu, Dongliang Li, Zhenxing Wang, Pingping Yan, Jinhong Ni
Summary: In order to help China achieve its carbon reduction targets, this study focused on the feasibility of energy conservation and emission reduction in hospitals, which are complex and energy-consuming buildings. The study analyzed the reasons for high energy consumption in existing hospital buildings and proposed upgrading the systems and introducing photovoltaic power generation. The results showed significant energy savings and emission reductions after implementing the program.
Article
Environmental Sciences
Xiaoyuan Qi, Ying Han
Summary: Climate change mitigation and adaptation are common global challenges, and accelerating carbon neutrality and green recovery is a major global issue. Market-oriented emission reduction policies are widely discussed, yet most current policies lack effective source reduction control. Energy quota trading (EQT) is an innovative approach to energy-saving and emission reduction, showing promising results in pilots. Its potential lies in achieving both total amount and intensity control in energy saving and emission reduction efforts, especially when considering regional characteristics. The policy has proven effective and could be replicated nationwide, providing a reference for government policy improvement towards carbon-neutral and low-carbon development goals.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Information Systems
Alpaslan Demirci
Summary: The rapid development of distributed renewable energy has made energy storage essential. Second-life batteries (SLB) can be preferred as alternative energy storage to overcome high investment costs.
Article
Environmental Sciences
Tiantian Xu, Chenyi Kang, Hua Zhang
Summary: The Chinese government has implemented energy-saving and emission-reduction policies in selected pilot cities to achieve green and low-carbon development. A study found that this policy has led to a relative decline in carbon emissions, with the effect increasing over time. The reduction in carbon emissions is achieved through promoting energy-saving, optimizing structure, and strengthening green techniques. The effectiveness of the policy varies across different factors.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Civil
Yangying He, Linying Chen, Junmin Mou, Qingsong Zeng, Yamin Huang, Pengfei Chen, Song Zhang
Summary: This paper introduces a novel bio-inspired method that utilizes the favorable hydrodynamic interaction in ship convoys to achieve an energy bonus for the whole formation system or members. Through simulations and experiments, the feasibility of this method is verified, and a model is established to evaluate the resistance characteristics of ships in different configurations and velocities, finding the optimal configuration. Computational fluid dynamics results show that sailing in formation can achieve fuel savings and emission reduction.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Ecology
Chunci Chen, Yonglong Lu, Guizhen He
Summary: The CO2 emissions in the largest emitting countries have been increasing due to economic and population growth, despite efforts to reduce energy and carbon intensity. Developing countries have shown weaker decoupling effects compared to developed countries.
ECOSYSTEM HEALTH AND SUSTAINABILITY
(2022)
Review
Multidisciplinary Sciences
Jun Liang, Jiawei Wu, Jun Guo, Huagen Li, Xianjun Zhou, Sheng Liang, Cheng-Wei Qiu, Guangming Tao
Summary: Photonic structures at the wavelength scale provide innovative energy solutions for various applications, reshaping the global energy landscape. Radiative cooling technology, based on structural and material design, offers opportunities for sustainable carbon neutrality as a zero-energy, eco-friendly cooling strategy. This review summarizes the fundamentals of radiative cooling technology, typical cooling materials, and their effects, discusses the research status and challenges, and outlines future application scenarios and development trends. Radiative cooling is expected to significantly contribute to global energy saving and emission reduction.
NATIONAL SCIENCE REVIEW
(2023)
Article
Green & Sustainable Science & Technology
Wanzhen Zhu, Wei Dong, Guowei Qin, Yejun Yang
Summary: China has implemented various carbon reduction policies and now requires an effective and systematic collaborative carbon reduction mechanism. Carbon emissions from the Yangtze River Delta region were analyzed and the pressures to and potential of carbon emissions reduction were summarized. The implementation of carbon tax policies was proposed, along with other mechanisms to promote energy transformation and industrial upgrades.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Multidisciplinary Sciences
Xu Peng, Hong Chen, Honglin Zhong, Ruyin Long, Chao Zhang, Dandan Zhao, Guangfei Yang, Jingke Hong, Cuncun Duan, Xinxian Qi, Pengbang Wei, Pengfei Zhang, Jindao Chen
Summary: The electricity sector in China is the biggest contributor to CO2 emissions and water consumption in industrial sectors. The transition to low-carbon in China's electricity sector has led to a reduction in cooling water usage. Using a Quasi-Input-Output model, this study quantifies CO2 emissions and virtual water embodied in electricity trade. Results show that the low-carbon transition has contributed to water-saving in China's electricity sector.
Article
Green & Sustainable Science & Technology
Huihuang Wu, Haozhe Yang, Xiurong Hu, Leyi Zheng, Jie Li, Yangfan Li, Xian Wang, Wendong Ge, Yuhan Zhou, Ying Liu, Junfeng Liu, Yuqing Wang, Jianmin Ma, Shu Tao
Summary: Building a low-carbon energy system is crucial for addressing global climate change and regional air pollution. This study shows that implementing a dynamic carbon tax and investing in renewable energy can significantly reduce coal consumption, decrease CO2 and air pollutant emissions, and mitigate the negative economic impacts of the carbon tax.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Zheng Liu, Lingling Lang, Bin Hu, Lihua Shi, Bangtong Huang, Yuanjun Zhao
Summary: The study found that when manufacturers cooperate with retailers, increasing the investment in emission reduction leads to higher carbon emission reduction, market demand, manufacturer's profit, and retail price, while the retailer's profit decreases. However, forming a centralized supply chain between manufacturers and retailers can improve the overall profit of the supply chain. Therefore, optimizing the supply chain by forming a centralized supply chain with manufacturers and retailers can achieve the dual objectives of protecting the environment and increasing profits.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Hongxia Sun, Jie Yang
Summary: This study examines the carbon emission reduction of two competitive manufacturers under carbon tax and cap-and-trade policies. The results indicate that the cap-and-trade policy is more sensitive to consumer environmental awareness and can effectively curb carbon emissions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Energy & Fuels
Guochang Fang, Lixin Tian, Menghe Liu, Min Fu, Mei Sun
Article
Thermodynamics
Guochang Fang, Lixin Tian, Min Fu, Mei Sun, Yu He, Longxi Lu
Article
Thermodynamics
Guochang Fang, Lixin Tian, Mei Sun, Min Fu
Article
Economics
Guochang Fang, Lixin Tian, Min Fu, Mei Sun
Article
Green & Sustainable Science & Technology
Guochang Fang, Menghe Liu, Lixin Tian, Min Fu, Yue Zhang
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Physics, Multidisciplinary
Guochang Fang, Longxi Lu, Lixin Tian, Yu He, Huibo Yin
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2020)
Article
Environmental Sciences
Guochang Fang, Qingling Wang, Lixin Tian
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Energy & Fuels
Guochang Fang, Lixin Tian, Min Fu, Mei Sun, Ruijin Du, Longxi Lu, Yu He
Article
Energy & Fuels
Guochang Fang, Lixin Tian, Min Fu, Mei Sun, Ruijin Du, Menghe Liu
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.