Article
Thermodynamics
Pan Zhang, Huan Wang
Summary: The study finds that provincial circular economy development policies and energy intensity targets have a positive impact on reducing CO2 emissions in China, while energy saving policies and comprehensive resource utilization policies have no significant effect.
Article
Thermodynamics
Junbing Huang, Bingjiang Luan, Wanrui He, Xiang Chen, Mengfan Li
Summary: This paper empirically investigates the effects of energy technologies on energy intensity and finds that energy conservation technology plays a more important role in decreasing energy intensity. The purposes of energy technologies also have an impact on energy intensity reduction.
Article
Economics
Junna Yan, Yingzhu Li, Bin Su, Tsan Sheng Ng
Summary: The research found that China's energy use exhibits significant regional characteristics, with the Eastern region making the largest contribution. Regional energy use is significantly influenced by investment, consumption, and exports, and is also impacted by sectoral energy intensity and domestic production structure.
Article
Environmental Sciences
Qingran Guo, Zhuo Wu, Atif Jahanger, Cuicui Ding, Bocheng Guo, Ashar Awan
Summary: Using the provincial panel data of China during 2012-2019, this study employed a spatial Durbin error model to investigate the spatial effect of the digital economy on energy intensity. The findings demonstrate that both the digital economy and energy intensity exhibit spatial autocorrelation and display characteristics of spatial aggregation. The digital economy has a significant negative impact on energy intensity, and there is a noticeable spatial spillover effect of the digital economy on energy intensity, with the development of the digital economy in neighboring regions decreasing energy intensity in the central region. Moreover, factors such as industrial structure, urbanization, energy price, and foreign direct investment exert a heterogeneous influence on energy intensity. Therefore, it is crucial to prioritize the development of energy intensity, plan the spatial layout of the digital industry comprehensively, stimulate the coordinated growth of the regional digital economy, accelerate industrial structure upgrading, promote urbanization, perfect the energy price formation mechanism, and increase the entry threshold for foreign direct investment in order to effectively reduce energy intensity and facilitate the achievement of the dual carbon goal.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Economics
Shu Wu, Hongyun Han
Summary: This study investigates the evolution of rural energy policies in China, finding that energy transition and intensity growth have different impacts on policy adoption. Various factors such as energy dependence, PM2.5 concentration, carbon intensity, income, rural energy technicians, and urbanization rate significantly influence rural energy policy evolution.
Article
Environmental Studies
Andrew G. Ross, Kevin Connolly, Imke Rhoden, Stefan Vogele
Summary: Although reducing resource use can lead to lower CO2 emissions, it also results in a decrease in GDP and employment, particularly impacting unskilled workers. However, despite significant reductions in resource use, the scale of these effects is small, indicating that technology-induced reductions in resource use have the potential to support economic transition.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Green & Sustainable Science & Technology
Xiang Cheng, Xiaohui Chen
Summary: The digital economy has a negative correlation with electricity consumption intensity, as it can reduce power consumption. Additionally, promoting the development of digital economy can help to reduce fiscal pressure on local governments.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Review
Mathematics, Interdisciplinary Applications
Fang Su, Jiangbo Chang, Xi Li, Dan Zhou, Bing Xue
Summary: This study analyzes the research themes, policy systems, and index system of China's urban-scale circular economy based on Chinese literature studies from 1999 to 2020. It proposes that future development of an urban circular economy should be built based on modern techniques, technologies, and models, with a development mechanism framed as government-led, market-driven, among other principles.
Article
Environmental Sciences
Hai Lan, Chengping Cheng, Muhammad Afaq Haider Jafri, Sidra Sohail
Summary: This study investigates the asymmetric determinants of energy intensity in China, finding that the long-term effects of energy prices and economic development on energy intensity are asymmetric, but positive changes in both variables help reduce energy intensity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Economics
Yan Xue, Chang Tang, Haitao Wu, Jianmin Liu, Yu Hao
Summary: The development of the digital economy has direct and indirect impacts on energy consumption, promoting an increase in the scale and optimization of the structure of energy consumption. The impact of the digital economy on energy consumption is achieved mainly through its influence on economic growth, energy efficiency, and industrial structure. Additionally, there are evident regional heterogeneity and spatial spillover effects in the impact of digital economy development on energy consumption.
Article
Economics
Shu Wu, Song Ding
Summary: The study found that changes in agricultural energy intensity are mainly determined by the efficiency component, with the impact of the structural component being relatively small. Capital and labor have significant effects on both the efficiency and structural components. Additionally, there are relationships between agricultural energy intensity and income, as well as capital.
Article
Environmental Studies
Munir Ahmad, Heng Li, Muhammad Khalid Anser, Abdul Rehman, Zeeshan Fareed, Qingyou Yan, Gul Jabeen
Summary: This study systematically investigates the heterogeneous dynamic causality among the intensity of energy use, land agglomeration, carbon dioxide emissions, and economic progress across the development levels in the Chinese economy. Key findings include the impacts of economic progress and land agglomeration on CO2 emissions varying across different regions of China. The study reveals that the development level matters in determining the links among the variables of interest.
ENERGY & ENVIRONMENT
(2021)
Article
Business
Suisui Chen, Hongyan Zhang, Shuhong Wang
Summary: The Chinese government is paying considerable attention to the growing demand for energy and the associated pressure of environmental pollution. Reducing energy intensity and promoting green transformation are important for China's future. Economic growth and trade openness can help reduce energy intensity, with economic growth having a more significant effect. Foreign trade mainly affects energy intensity through exports, while the effect of imports is not significant. There is no significant regional difference in the impact of trade openness and economic growth on energy intensity between the east and west of China. Therefore, the government should actively promote trade openness and economic growth to reduce energy intensity, and strengthen the coordination mechanism of energy control among provinces and regions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Xiaohong Chen, Lujie Chen, Mengqi Jiang, Ji Yan
Summary: This study explores the relationship between R&D intensity and CSCM adoption in high-tech manufacturing companies in China, finding that R&D intensity positively impacts firms' CSCM adoption, especially when state-owned shares or industry competition are higher.
INDUSTRIAL MARKETING MANAGEMENT
(2021)
Article
Energy & Fuels
Boqiang Lin, Miao Wang
Summary: This study proposed a novel meta-frontier multi-tier approach to analyze the impacts of industrial structure reorganization, regional equilibrium development, and management efficiency on energy intensity change, using China's energy intensity as a case study. The results showed a significant decline in China's energy intensity during 2000-2016, primarily driven by potential energy intensity change and technological progress. Additionally, six factors, including industrial technological gaps and regional technological gaps, were found to have important impacts on energy intensity. Local governments should tailor policies based on the characteristics of different factors at multiple spatial scales.
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.