Article
Thermodynamics
Zengkai Cui, Chenyue Guo, Dongliang Zhao
Summary: This study explores the potential application of passive radiative sky cooling technology in telecommunication base stations and proposes an optimized envelope design for energy saving. The energy-saving and economic analysis shows significant potential for energy efficiency and cost reduction.
BUILDING SIMULATION
(2022)
Article
Thermodynamics
Fanxi Meng, Quan Zhang, Yaolin Lin, Sikai Zou, Jiyao Fu, Baochang Liu, Wei Wang, Xiaowei Ma, Sheng Du
Summary: This paper presents a novel rack-level hybrid cooling system for cooling 5G telecommunication base stations. By combining a thermosyphon loop with a mechanical refrigeration loop, the system achieves effective cooling and energy efficiency. Through on-site testing and analysis, five energy-saving operation modes are proposed, and a recommended mode is identified with reduced energy consumption and sufficient cooling for the communication equipment.
Review
Green & Sustainable Science & Technology
Yelong Zhang, Yanqi Zhao, Siyuan Dai, Binjian Nie, Hongkun Ma, Jianming Li, Qi Miao, Yi Jin, Linghua Tan, Yulong Ding
Summary: This article provides a comprehensive review of recent research on energy-saving technologies for cooling data centres and telecommunication base stations. The results show that immersion liquid cooling has a lower power usage effectiveness (PUE) and a relatively higher energy savings rate (ESR) compared to other cooling technologies. The article suggests that a combination of multiple energy-saving technologies will be the future trend to further improve the energy efficiency of cooling systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Information Systems
Wanying Guo, Jahwan Koo, Isma Farah Siddiqui, Nawab Muhammad Faseeh Qureshi, Dong Ryeol Shin
Summary: This article studies the issue of increased energy consumption due to the increase in base station density in 5G HetNets and proposes an optimized micro base station deployment strategy to improve energy efficiency. Simulation experiments have demonstrated the effectiveness of the proposed strategy in improving energy efficiency.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Construction & Building Technology
Carmela Vetromile, Antonio Spagnuolo, Antonio Petraglia, Antonio Masiello, Maria Rosa di Cicco, Carmine Lubritto
Summary: In the telecommunications sector, energy saving has been a major focus in recent years. While attention is often on the energy efficiency of consumer products and data centers, the telecommunications network that manages the entire system is sometimes overlooked. Smart energy management of Base Transceiver Stations can lead to significant savings in power consumption and environmental impact.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Zixu Yang, Jiaan Zhao, Baolong Wang, Rong Zhuang, Xin Li, Hansong Xiao, Wenxing Shi
Summary: A hybrid air conditioner combining a fresh air ventilator and direct evaporative cooling water spray system was proposed and investigated in this study. The results showed that the hybrid air conditioner exhibited high energy efficiency and energy-saving potential compared to conventional air conditioners through laboratory testing and field verification in three different cities.
BUILDING AND ENVIRONMENT
(2021)
Article
Energy & Fuels
Yuanzhu Cai, Zhuo Yang, Zihan Zhang, Zhangran Yang, Hongqiang Zhang, Xiao Xue, Ming Xian, Yong Shu, Xiaomao Gong, Xianzhi Cai, Hong Jiang, Yanwen Li, Lianhua Liu, Weidong Zhang
Summary: A superamphiphobic self-cleaning passive subambient daytime radiative cooling (SSC-PSDRC) coating was applied to telecommunication base stations, showing remarkable cooling effect and energy conservation. The unique molecular structure of the SSC topcoat contributed to its excellent performance and resistance to weathering. The estimated annual cooling energy conservation correlated well with the measured value, indicating the long-term effectiveness of the coating.
Article
Thermodynamics
Tingzhen Ming, Xinyuan Ding, Chuanjie Shi, Qiong Chen, Caixia Wang, Qianjun Mao, Yanping Yuan, Gangfeng Tan, Yongjia Wu
Summary: In this study, the efficiency of the planar cooler was increased by 35% through rational thermal management measures. The effects of directional shading, mobile shading, and directional (northward) radiation were investigated. Outdoor experiments conducted in Wuhan, China achieved an effective cooling of 3.9-13.1 degrees C. The combination of solar and thermal management measures has a certain impact on the use of radiative cooling in building energy efficiency.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Giovanni Barone, Annamaria Buonomano, Giovanni Francesco Giuzio, Adolfo Palombo
Summary: The purpose of this paper is to develop a simulation model for assessing and optimizing the cooling performance of new/existing infrastructures from an energy perspective. By optimizing the free cooling operation and thermal insulation, the cooling energy consumption can be decreased by 80% and 10% respectively.
Review
Optics
Shanhui Fan, Wei Li
Summary: Radiative cooling is a passive process that utilizes photon heat flow to remove energy and entropy. Recent breakthroughs in nanophotonics have enabled advances in daytime radiative cooling and sparked intense research efforts in this field. Radiative cooling is now emerging as a frontier in renewable energy research, with significant potential for various applications.
Article
Computer Science, Information Systems
Parinaz Dastranj, Vahid Solouk, Hashem Kalbkhani
Summary: This study proposes a scheme for selecting ABS in wireless networks with unmanned aerial vehicles, which maximizes energy efficiency and load balancing through target ABS selection, resource block, and power allocation algorithm. The simulation results show that the proposed method improves load balancing, spectral efficiency, and energy efficiency.
COMPUTER COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Ren Jing, Xin Chang
Summary: This paper discusses the measurement of commercial bank management efficiency and proposes a method to determine the benchmark through cluster analysis.
Article
Construction & Building Technology
Nuno R. Martins, Peter J. Bourne-Webb
Summary: This study proposes the use of personal comfort systems (PCS) and natural ventilation (NV) to reduce the thermal load imbalance in a cooling-dominated building. Building energy simulations show that hybridization with NV or PCS can increase the energy efficiency of the GSHP system, but only the combination of both NV and PCS can fully meet the thermal load.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Dogan Erdemir, Ibrahim Dincer
Summary: It is expected that the number of charging stations will increase due to the rise in electric vehicles. The development of self-sufficient and renewable-powered charging stations is necessary to meet the additional load on the grid. This study presents a solar-powered charging station that uses liquid CO2 as an energy storage option for off-grid conditions. The use of yearly average solar data can lead to a 37% error in estimating the required solar PV area for off-grid conditions.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Zhuo Yang, Hongqiang Zhang, Zihan Zhang, Ming Xian, Yong Shu, Xiaomao Gong, Xianzhi Cai, Hong Jiang, Yuanzhu Cai, Zhipeng Sun, Yangang Zhang, Yanwen Li, Weidong Zhang, Xiao Xue, Lianhua Liu
Summary: This study applies a superamphiphobic passive sub-ambient daytime radiative cooling (PSDRC) coating to solve the overheating issue in telecommunication base stations and reduce cooling energy consumption. The PSDRC coating significantly lowers the surface temperatures of battery and equipment cabinets in all climate conditions, resulting in sub-ambient cooling effects. By replacing the closed door with a modified one containing an external exhaust system, the PSDRC-coated base stations can operate without air conditioners and save a considerable amount of cooling energy. Additionally, the superamphiphobic self-cleaning topcoat ensures spotless surfaces of the base stations even after more than one year.
Article
Operations Research & Management Science
Yue-Jun Zhang, Ya-Fang Sun, Bao-Feng Huo
Summary: This paper investigates the impact of carbon quota allocation rules in China's pilot carbon emissions trading regions and how to achieve optimal product prices and effective allocation of carbon emission reduction profits in a cooperative supply chain. The results show that increasing carbon prices can improve retail prices under the auctioning rule. However, the growing low-carbon awareness of consumers does not always lead to higher wholesale and retail prices. Under the free carbon quota allocation rules, the optimal wholesale and retail prices under the Stackelberg game are consistently higher than those under the Nash equilibrium. Additionally, the auctioning rule is more effective in reducing carbon emissions compared to free allocation rules.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Economics
Tian-Tian Zhu, Ya-Hua Lu, Yue-Jun Zhang
Summary: This study evaluates the S&T innovation efficiency of 31 universities in China during 2013-2017 using the global Malmquist-Luenberger index and panel Tobit model methods, and analyzes its influencing factors. The results indicate that the S&T innovation efficiency of universities improved overall, but there are regional differences, with lower efficiency in the east.
Article
Business, Finance
Li Wang, Xin-Hua Zhang, Yue-Jun Zhang
Summary: This study proposes a classified self-selection sales electricity pricing mechanism for different household sizes. The results indicate that this mechanism can save energy, increase supplier's income, and reduce residents' electricity consumption.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2023)
Article
Green & Sustainable Science & Technology
Hua-Rong Peng, Yue-Jun Zhang, Jing-Yue Liu
Summary: This study examines the impact of digital development on electricity consumption in Chinese cities and finds that it has a positive influence, particularly in eastern, high-income, and high-tertiary industry share regions. However, digital development also triggers a rebound effect in electricity consumption, especially in the early stages. The results emphasize the importance of addressing the digital rebound effect and promoting low-carbon digital development.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Yue-Jun Zhang, Han Zhang
Summary: This paper examines the smooth and sharp structural changes in crude oil price volatility and evaluates the performance of GARCH models based on these changes for forecasting. The empirical results show that the flexible Fourier form (FFF) GARCH models, which consider smooth shift, accurately capture structural changes and outperform traditional GARCH models in fitting and forecasting. The Markov regime switching (MRS) GARCH model, incorporating regime switching, performs better in fitting but not necessarily in forecasting compared to single-regime GARCH models. Overall, FFF-GARCH models outperform MRS-GARCH models in forecasting crude oil price volatility and portfolio performance.
Article
Business, Finance
Yue-Jun Zhang, Han Zhang
Summary: The paper focuses on the smooth and sharp structural changes in crude oil futures volatility and explores whether different structural change-based HAR models exhibit significantly better performance for crude oil return volatility forecasting than traditional HAR-type models. The empirical results indicate that the flexible Fourier form (FFF) based HAR-type models and the Structural Breakpoints (SB) based HAR-type models yield superior forecasting performance than traditional HAR-type models, particularly for short- and medium-term forecasts.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2023)
Article
Agricultural Economics & Policy
Yue-Jun Zhang, Jing-Yue Liu, Richard T. Woodward
Summary: Consolidating and expanding poverty alleviation while reducing carbon emissions is a key issue in China. The Chinese Certified Emission Reduction (CCER) trading programme serves as a supplementary mechanism to China's carbon trading market. In this study, the poverty reduction effect of CCER trading on rural areas was investigated using data from 1782 counties in China from 2006 to 2017. The findings show that CCER trading has increased per capita net income of rural residents by at least 2.5% annually, with a greater effect in poor counties and regional differences.
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yue-Jun Zhang, Wei Shi
Summary: This study develops a theoretical model to explore the role of carbon emissions trading (CET) in promoting enterprise green investment. Using panel data from China's carbon-intensive listed enterprises, the study empirically evaluates the effect of CET on green investment and discusses regional and industrial differences in this effect. The results indicate that CET has a complex impact on enterprise green investment, with variations in different regions and industries.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Thermodynamics
Ya-Fang Sun, Shiwei Yu, Yue-Jun Zhang, Bin Su
Summary: A study finds that the imports dependency of China has decreased from 27% to 14% between 2007 and 2020, but its impact on the embodied energy consumption in final demands remains unresolved. By employing environmentally extended input-output analysis and structural decomposition analysis, this research explores the effects of import changes. At the national level, the input imports effect contributes about 15% to the growth of embodied energy consumption, while the demand imports effect contributes no more than 5%. At the sectoral level, the input imports effect occurs mainly through the metals sector from the supply side, but mainly through the electrical and optical equipment sector from the demand side. The study also identifies critical supply chains that can facilitate the input imports effect, and highlights the sectors through which the demand imports effect primarily occurs.
Article
Economics
Yue-Jun Zhang, Mengfan Du
Summary: This paper examines the impact of the digital economy on urban carbon emissions, including digital industrialisation, industrial digitalisation, and digital governance. The results show that digital development in Chinese cities reduces urban carbon emissions, and this result is robust. Further investigation reveals that industrial digitalisation and digital governance are the foundations of carbon reduction effects. Finally, there is significant regional heterogeneity in the impact of China's digital development on urban carbon emissions, with greater potential for emissions reduction in less developed regions and carbon trading policy helping exploit the digital emissions reduction potential in developed regions.
Article
Business
Jing-Yue Liu, Yue-Jun Zhang, Charles H. H. Cho
Summary: This study investigates the effect of corporate environmental information disclosure (EID) on green innovation in China's heavily polluting industries during 2009-2020 and the moderating effect of Chief Executive Officer (CEO) visibility. The results show that corporate EID increases green innovation, and CEO visibility strengthens the positive impact of corporate EID on green innovation. The study also finds that the leverage effect, not crowding-out effect, contributes to the green innovation fostered by EID. Moreover, state-owned, large, and established enterprises benefit more from the promotion effect of EID on green innovation and the positive moderating effect of CEO visibility.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Business, Finance
Yue-Jun Zhang, Han Zhang, Rangan Gupta
Summary: This paper selects the NASDAQ CTA Artificial Intelligence and Robotics (AIRO) Index as the research target and proposes innovative hybrid methods to forecast its returns. The empirical results demonstrate that the AIRO index returns have complex structural characteristics, and the newly proposed hybrid forecasting method can optimize the forecasting performance.
FINANCIAL INNOVATION
(2023)
Article
Psychiatry
Jia-li Liu, Tao Chen, Ji-fang Cui, Hai-song Shi, Ming-yuan Gan, Ya Wang
Summary: This study examined the differences in attentional control and prospective memory performance between patients with schizophrenia and healthy controls. The results showed that patients with schizophrenia had lower prospective memory accuracy and attentional control index compared to healthy controls. The relationship between prospective memory accuracy and attentional control index was significant in healthy controls but not in patients with schizophrenia.
COGNITIVE NEUROPSYCHIATRY
(2023)
Article
Economics
Mengfan Du, Yue-Jun Zhang
Summary: Using panel data of 278 Chinese cities from 2004 to 2017, this study investigates the impact of China's producer services agglomeration on green economic development and examines the moderating effects of relevant industrial and environmental regulation policies. The results show that producer services agglomeration promotes China's green economic development through industrial structure upgrading and green technology innovation. The development zone upgrading policy and command-and-control carbon emissions reduction policy can strengthen the positive impact of producer services agglomeration on the green urban economy, while the carbon trading policy does not affect its green economic effect during the sample period.
Article
Environmental Studies
Jin Wei, Zong Chen, Xiang-Yong Kong, Yue-Jun Zhang
Summary: This paper aims to explore a prevention-oriented route - a vertical pedestrian system for high-rise buildings based on scheme phase, which strengthens the ability of ecological order restoration and helps occupants in recovering from high-density environment. The feasibility and effectiveness of the system have been verified through scheme selection, numerical simulation, and field measurements. The results show that the system can significantly improve thermal comfort and spatial integration.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
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.