Article
Environmental Sciences
Qianqian Zhang, Jingxin Li
Summary: With the aim of achieving its carbon peak goal by 2030, China's building carbon emissions, which represent about 50% of the country's total carbon emissions, have been studied using various models and simulations. The research predicts that under different scenarios, the peak of China's building carbon emissions will occur in 2030, with estimated values ranging from 5,427 to 6,329 million tons.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Cun Wei, Jian Chen, Mingyang Cong, Yaling Wu, Shi Huang, Zhigang Zhou, Dayi Yang, Jing Liu
Summary: This study proposes a comprehensive and versatile carbon emission prediction system for the urban building industry, aiming to reduce carbon emissions. The application of the model in a case study in Heilongjiang Province, China suggests that early peak carbon emissions in urban buildings can be achieved before 2030, with a potential reduction of approximately 78% by 2060 compared to 2020 levels. The scalability of the model allows for its future implementation in larger regions of China and its potential use in assessing CO2 emissions in urban buildings. With quantitative data, the model offers valuable support to policymakers implementing low-carbon strategies in the building sector.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Fanxin Meng, Siyi Chen, Shulei Cheng, Boyang Chen, Zhiwen Li, Feiran Wang, Gengyuan Liu
Summary: By developing the Carbon Emissions Reduction Index (CERI) and utilizing the refined Laspeyres technique, this study evaluated the CO2 mitigation policy pressure in the residential sector in 29 provinces and 286 cities in China. The results showed that although the average CO2 mitigation policy pressure in the residential sector was increasing, there were differences between provinces and cities, with CO2 intensity and inequality being key factors influencing the changes.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Yongpei Wang, Qing Yan, Yifei Luo, Qian Zhang
Summary: The fundamental way for China to achieve carbon peak and carbon neutrality is to continuously improve the penetration of renewable energy in the power system and establish an electricity mix dominated by renewable energy power. The impact of the increase in share of renewable energy power on carbon emissions of the electricity sector remains to be estimated. The paper aims to capture the nonlinear characteristics of renewable energy on electricity-related carbon emissions using panel smooth transition regression (PSTR) model and provincial panel data.
Article
Construction & Building Technology
Yuan Su, Haoyuan Cheng, Zhe Wang, Junwei Yan, Ziyu Miao, Aruhan Gong
Summary: Reducing carbon emissions from the construction industry is crucial for addressing global environmental change. This study explores the energy consumption patterns of commercial buildings and uses a data-driven model for building carbon emissions prediction. By collecting electrical load data and monitoring environmental data, machine learning was used to develop forecasting models. The study found that miscellaneous electric loads are the largest electricity consumer and indoor illuminance and CO2 are highly correlated. An ensemble learning-based model showed advantages in predicting building carbon emissions.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Environmental Studies
Jiajia Wang, Yuanyuan Huang, Yue Teng, Bo Yu, Jiayuan Wang, Hui Zhang, Huabo Duan
Summary: China aims to peak carbon emissions by 2030 and become a carbon-neutral society by 2060. The building sector, responsible for over one-third of total carbon emissions, faces a significant challenge in helping China achieve these goals. The study conducted in Shenzhen shows that there is room for improvement in the city's energy conservation and carbon emissions reduction efforts, with the potential to reach peak carbon emissions in the buildings sector by 2025, 5 years earlier than the national target.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Article
Environmental Studies
Huimin Hou, Xiangyu Feng, Yang Zhang, Hongtao Bai, Yijun Ji, He Xu
Summary: This paper examines the contribution of the construction sector to carbon emissions in China and estimates the sector's potential for emission reduction in 2030 and 2050. Improving electricity efficiency can make a significant contribution in the short term, while material-related initiatives, especially those focused on metal recycling, can lead to substantial carbon mitigation starting from 2030.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Article
Energy & Fuels
Xingfan Pu, Jian Yao, Rongyue Zheng
Summary: The goal of reaching the peak of carbon in the construction industry is urgent, but research and implementation of relevant policies in China are relatively superficial. This paper establishes a BP neural network model for predicting building CO2 emissions and explores the practical path to accomplish the peak of building CO2 emissions through scenario analysis. The model effectively predicts the feasibility of the carbon peak and carbon-neutral target set by the government and provides a useful predictive tool for adjusting the energy structure and formulating emission reduction policies.
Article
Economics
Kunlun Wang, Leven J. Zheng, Justin Zuopeng Zhang, Hongjiang Yao
Summary: The transport sector accounts for a significant portion of global carbon emissions and is closely linked to socio-economic development. By promoting new energy vehicles, it is possible to reduce carbon emissions and decarbonize the entire economic system by decreasing carbon intensity. Based on a promotion project in China, empirical results show that promoting new energy vehicles can decrease carbon intensity in demonstration cities by about 4.5%, with the majority of the decrease resulting from increases in outputs.
Article
Business
Yan Bu, Erda Wang, Dominik Most, Martin Lieberwirth
Summary: China's large-scale inter-provincial population migration has significant impacts on social changes, energy consumption demand, and spatial distribution of carbon emissions. However, the influence of population migration on carbon emissions has received less attention. This study develops an innovative framework to quantitatively assess the impact of population migration on carbon emissions and finds that it exacerbates carbon emissions inequality and poses greater barriers for provinces with net out-migrants in reducing carbon emissions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Review
Chemistry, Multidisciplinary
Lin Chen, Ying Hu, Ruiyi Wang, Xiang Li, Zhonghao Chen, Jianmin Hua, Ahmed I. Osman, Mohamed Farghali, Lepeng Huang, Jingjing Li, Liang Dong, David W. Rooney, Pow-Seng Yap
Summary: The building sector contributes significantly to climate change, pollution, and energy crises. This article reviews the emerging practices of integrating renewable energies in the construction sector, with a focus on energy types, policies, innovations, and perspectives. The case studies highlight the potential of wind energy and solar energy in increasing renewable energy contribution. Financial incentives further enhance the appeal of these innovations.
ENVIRONMENTAL CHEMISTRY LETTERS
(2023)
Article
Environmental Sciences
Jianxin Tang, Rizhao Gong, Huilin Wang, Yuxi Liu
Summary: Machine learning and deep neural networks were used to explore influential factors and trends in future transportation carbon emissions. Key influencing factors were identified using LASSO regression. The performance of different prediction models was compared, and an improved LSTM model optimized by the sparrow search algorithm was proposed. The study predicted future carbon emission trends in the transportation sector and highlighted the importance of systemic changes and innovations for China's low-carbon and sustainable transportation development.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Thermodynamics
Tengfei Huo, Yuling Ma, Linbo Xu, Wei Feng, Weiguang Cai
Summary: This study establishes an integrated dynamic emission assessment model to explore the evolutionary trajectories of carbon emissions in China's urban residential building sector. The results show that under a carbon-neutral scenario, the peak of carbon emissions will occur in 2025 and decline thereafter. This study provides valuable insights for policy-making and evaluating emission paths in other countries and regions.
Article
Environmental Sciences
Yimin Huang, Yuan Wang, Jiaoting Peng, Fan Li, Lin Zhu, Huihui Zhao, Rui Shi
Summary: China's targets of peaking CO2 emissions by 2030 and reaching carbon neutrality by 2060 have been discussed internationally. This study uses the LMDI decomposition method and the LEAP model to assess China's CO2 emissions from 2000 to 2060. Different scenarios based on the SSPs framework were designed to understand the impact of development pathways on energy consumption and emissions. The findings show that energy intensity, economic development level, and urbanization are key factors influencing CO2 emissions, with different scenarios suggesting varying success in meeting target goals.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Zhifu Mi, Xinlu Sun
Summary: The evaluation of regional efforts in China on carbon emission reduction indicates that industrial transition and non-fossil fuel development are key factors for leading provinces. The recommended solution for achieving carbon neutrality in China is to promote the transformation of industrial structure and energy mix.
COMMUNICATIONS EARTH & ENVIRONMENT
(2021)
Article
Rheumatology
Tong Chen, Peng-Cheng Xu, Shui-Yi Hu, Shan Gao, Jun-Ya Jia, Tie-Kun Yan
RHEUMATOLOGY INTERNATIONAL
(2019)
Article
Agronomy
Peng Xu, Yajun Liao, Yi Zheng, Chenxu Zhao, Xiangfei Zhang, Zhonghua Zheng, Shengji Luan
AGRICULTURAL AND FOREST METEOROLOGY
(2019)
Article
Geosciences, Multidisciplinary
Peng Xu, Anping Chen, Benjamin Z. Houlton, Zhenzhong Zeng, Song Wei, Chenxu Zhao, Haiyan Lu, Yajun Liao, Zhonghua Zheng, Shengji Luan, Yi Zheng
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Thermodynamics
Xing Lu, Fan Feng, Zhihong Pang, Tao Yang, Zheng O'Neill
Summary: This paper discusses two methods for extracting typical occupancy schedules for buildings based on social media data, showing that the extracted schedules from different data sources have similar trends but may require further validation. Additionally, integrating these schedules can improve the accuracy of hourly energy usage predictions for a university museum.
BUILDING SIMULATION
(2021)
Article
Physics, Nuclear
Hong-Bo Jin, Peng Xu
Summary: TAIJI-1 is a micro-gravity experiment spacecraft aimed at verifying key techniques for gravitational wave detection, with data processing pipeline connecting the Science Operations Center and Data Processing Center. The experiment's payload detection devices are fully verified after 3 months, ensuring the spacecraft's techniques and data processing pipeline are reasonable and beneficial for future stages of the TAIJI Program.
INTERNATIONAL JOURNAL OF MODERN PHYSICS A
(2021)
Article
Construction & Building Technology
Yan Lyu, Yiqun Pan, Tao Yang, Yuming Li, Zhizhong Huang, Risto Kosonen
Summary: The study developed a set of procedures to automate the calibration process of building energy models based on schedule tuning and SDG method. Through a case study, it was demonstrated that the automated process significantly improved the accuracy of the energy models, indicating the applicability and effectiveness of this approach.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Physics, Multidisciplinary
Yue-Liang Wu, Zi-Ren Luo, Jian-Yu Wang, Meng Bai, Wei Bian, Rong-Gen Cai, Zhi-Ming Cai, Jin Cao, Di-Jun Chen, Ling Chen, Li-Sheng Chen, Ming-Wei Chen, Wei-Biao Chen, Ze-Yi Chen, Lin-Xiao Cong, Jian-Feng Deng, Xiao-Long Dong, Li Duan, Sen-Quan Fan, Shou-Shan Fan, Chao Fang, Yuan Fang, Ke Feng, Pan Feng, Zhun Feng, Rui-Hong Gao, Run-Lian Gao, Zong-Kuan Guo, Jian-Wu He, Ji-Bo He, Xia Hou, Liang Hu, Wen-Rui Hu, Zhi-Qiang Hu, Min-Jie Huang, Jian-Jun Jia, Kai-Li Jiang, Gang Jin, Hong-Bo Jin, Qi Kang, Jun-Gang Lei, Bo-Quan Li, Dong-Jing Li, Fan Li, Hao-Si Li, Hua-Wang Li, Liu-Feng Li, Wei Li, Xiao-Kang Li, Ying-Min Li, Yong-Gui Li, Yun-Peng Li, Yu-Peng Li, Zhe Li, Zhi-Yong Lin, Chang Liu, Dong-Bin Liu, He-Shan Liu, Hong Liu, Peng Liu, Yu-Rong Liu, Zong-Yu Lu, Hong-Wei Luo, Fu-Li Ma, Long-Fei Ma, Xiao-Shan Ma, Xin Ma, Yi-Chuan Man, Jian Min, Yu Niu, Jian-Kang Peng, Xiao-Dong Peng, Ke-Qi Qi, Li-E Qiang, Cong-Feng Qiao, Ye-Xi Qu, Wen-Hong Ruan, Wei Sha, Jia Shen, Xing-Jian Shi, Rong Shu, Ju Su, Yan-Lin Sui, Guang-Wei Sun, Wen-Lin Tang, Hong-Jiang Tao, Wen-Ze Tao, Zheng Tian, Ling-Feng Wan, Chen-Yu Wang, Jia Wang, Juan Wang, Lin-Lin Wang, Shao-Xin Wang, Xiao-Peng Wang, Yu-Kun Wang, Zhi Wang, Zuo-Lei Wang, Yu-Xiao Wei, Di Wu, Li-Ming Wu, Peng-Zhan Wu, Zhi-Hua Wu, Dong-Xue Xi, Yi-Fang Xie, Guo-Feng Xing, Lu-Xiang Xu, Peng Xu, Shu-Yan Xu, Yu Xu, Sen-Wen Xue, Zhang-Bin Xue, Chao Yang, Ran Yang, Shi-Jia Yang, Shuang Yang, Yong Yang, Zhong-Guo Yang, Yong-Li Yin, Jin-Pei Yu, Tao Yu, Ai-Bing Zhang, Chu Zhang, Min Zhang, Xue-Quan Zhang, Yuan-Zhong Zhang, Jian Zhao, Wei-Wei Zhao, Ya Zhao, Jian-Hua Zheng, Cui-Yun Zhou, Zhen-Cai Zhu, Xiao-Bo Zou, Zi-Ming Zou
Summary: The article discusses the potential of using a space borne gravitational wave detector network combining LISA and Taiji to measure the Hubble constant with greater accuracy compared to ground based detectors. Taiji, a Chinese space mission planned for launch in the early 2030s, has already conducted a pilot satellite mission to verify its feasibility. The study also presents the findings of some technology tests conducted on the Taiji-1 satellite mission.
COMMUNICATIONS PHYSICS
(2021)
Article
Physics, Nuclear
Xiaodong Peng, Hongbo Jin, Peng Xu, Zhi Wang, Ziren Luo, Xiaoshan Ma, Li-E Qiang, Wenlin Tang, Xin Ma, Yuzhu Zhang, Zuolei Wang, Pengzhan Wu, Xiaoqin Deng, Haosi Li, Liming Wu, Juan Wang, Yuxiao Wei, Zhiyong Lin, Chen Gao, Mengyuan Zhao
Summary: Taiji-1, the first satellite of the Taiji Program, has completed its nominal science operational phase and successfully accomplished the mission goal. This work reports on the methods employed in Taiji-1 GRS data processing to improve data quality and performance estimations.
INTERNATIONAL JOURNAL OF MODERN PHYSICS A
(2021)
Editorial Material
Physics, Nuclear
Yue-Liang Wu, Zi-Ren Luo, Jian-Yu Wang, Meng Bai, Wei Bian, Hai-Wen Cai, Rong-Gen Cai, Zhi-Ming Cai, Jin Cao, Bin Chen, Di-Jun Chen, Guang-Feng Chen, Kun Chen, Ling Chen, Li-Sheng Chen, Ming-Wei Chen, Wei-Biao Chen, Yan Chen, Ze-Yi Chen, Yi-Xing Chi, Lin-Xiao Cong, Jian-Feng Deng, Xiao-Qin Deng, Xiao-Long Dong, Li Duan, Da Fan, Sen-Quan Fan, Shou-Shan Fan, Chao Fang, Yuan Fang, Ke Feng, Jian-Chao Feng, Pan Feng, Zhun Feng, Chen Gao, Rui-Hong Gao, Run-Lian Gao, Bin Guo, Tong Guo, Xiao-Liang Guo, Xu Guo, Zong-Kuan Guo, Jian-Wu He, Ji-Bo He, Xia Hou, Liang Hu, Wen-Rui Hu, Zhi-Qiang Hu, Min-Jie Huang, Jian-Jun Jia, Kai-Li Jiang, Gang Jin, Hong-Bo Jin, Bao-Peng Kang, Qi Kang, Feng-Lian Kong, Jun-Gang Lei, Bo-Quan Li, Cun-Hui Li, Dong-Jing Li, Fan Li, Hao-Si Li, Hua-Dong Li, Hua-Wang Li, Jiang Li, Liu-Feng Li, Wei Li, Xiao-Kang Li, Ying-Min Li, Yong-Gui Li, Yun-Peng Li, Yu-Peng Li, Zhao Li, Zhe Li, Hong Liang, Huang Lin, Zhi-Yong Lin, Chang Liu, Dong-Bin Liu, He-Shan Liu, Hong Liu, Peng Liu, Yu-Rong Liu, Zong-Yu Lu, Hong-Wei Luo, Jun Luo, Fu-Li Ma, Long-Fei Ma, Xiao-Shan Ma, Xin Ma, Yi-Chuan Man, Jun-Cheng Mao, Jian Min, Yu Niu, Jian-Kang Peng, Xiao-Dong Peng, Ke-Qi Qi, Li-E Qiang, Cong-Feng Qiao, Ye-Xi Qu, Wen-Hong Ruan, Wei Sha, Jia Shen, Xing-Jian Shi, Rong Shu, Ju Su, Peng Su, Yan-Lin Sui, Guang-Wei Sun, He-Ping Tan, Wen-Lin Tang, Hong-Jiang Tao, Wen-Ze Tao, Zheng Tian, Ling-Feng Wan, Chen-Yu Wang, Jia Wang, Juan Wang, Jun-Biao Wang, Lin-Lin Wang, Peng-Cheng Wang, Shao-Xin Wang, Xiao-Peng Wang, Yan-Feng Wang, Yu-Kun Wang, Zhi Wang, Zuo-Lei Wang, Yong-Qiang Wei, Yu-Xiao Wei, Di Wu, Li-Ming Wu, Peng-Zhan Wu, Zhi-Hua Wu, Dong-Xue Xi, Yi-Fang Xie, Guo-Feng Xin, Heng-Tong Xu, Lu-Xiang Xu, Peng Xu, Shu-Yan Xu, Yu Xu, Bing Xue, Da-Tong Xue, Sen-Wen Xue, Zhang-Bin Xue, Chao Yang, Ran Yang, Shi-Jia Yang, Shuang Yang, Yong Yang, Zhong-Guo Yang, Yong-Li Yin, Du-Li Yu, Jin-Pei Yu, Tao Yu, Ai-Bing Zhang, Bing Zhang, Chu Zhang, Min Zhang, Jing Zhang, Rui-Jun Zhang, Xiao-Feng Zhang, Xiao-Qing Zhang, Xue-Quan Zhang, Yong-He Zhang, Yu-Zhu Zhang, Yuan-Zhong Zhang, Meng-Yuan Zhao, Jian Zhao, Wei-Wei Zhao, Ya Zhao, Jian-Hua Zheng, Cui-Yun Zhou, Ying Zhou, Ren Zhu, Xiao-Cheng Zhu, Xiao-Yi Zhu, Zhen-Cai Zhu, Xiao-Bo Zou, Zi-Ming Zou
INTERNATIONAL JOURNAL OF MODERN PHYSICS A
(2021)
Review
Thermodynamics
Tao Yang, Arkasama Bandyopadhyay, Zheng O'Neill, Jin Wen, Bing Dong
Summary: Occupants are the core of the built environment, traditional HVAC systems lack consideration of specific occupant information, leading to over-conditioning and discomfort. With the aid of ICT and CS, HVAC OCC enables real-time and accurate acquisition of occupant information to meet precise thermal requirements.
BUILDING SIMULATION
(2022)
Article
Astronomy & Astrophysics
Yuchan Yang, Wen-Biao Han, Qianyun Yun, Peng Xu, Ziren Luo
Summary: This work discusses the improvement that the joint network of LISA and Taiji could provide on exploring two kinds of black hole formation mechanisms. The joint network has the potential to observe growing light seeds in the range 15 < z < 20, shedding light on the light seeding mechanism. For primordial origin, the joint network expands LISA's horizon towards lower mass end, increasing the chance of observing primordial black holes. The joint network also significantly improves the estimation of parameters.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Gang Wang, Bin Li, Peng Xu, Xilong Fan
Summary: In this study, we characterize the noise components in LISA gravitational wave data by combining TDI channels from Michelson and Relay configurations. Based on the noise characterization, we reconstruct the noise power spectrum and estimate the parameters and spectrum of stochastic gravitational wave signals.
Article
Engineering, Aerospace
Liming Wu, Peng Xu, Shuhong Zhao, Li-E Qiang, Ziren Luo, Yueliang Wu
Summary: Taiji-1 is the first technology demonstration satellite of China's Taiji program for space-borne gravitational wave antenna. It collects data to serve as a gravity recovery mission for China, providing independent measurement of the global static and monthly time-variable gravity field.
MICROGRAVITY SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Xiaokang Li, Heshan Liu, Pengzhan Wu, Haosi Li, Peng Xu, Ziren Luo
Summary: The laser frequency fluctuation leads to significant phase noise in the interferometer, which is a major challenge in space-borne gravitational wave detection missions. To address this issue, a post data processing method called time delay interferometer was developed and experimentally validated. The experimental results showed that the time delay interferometer could suppress the laser frequency fluctuation noise by more than 6 orders in the frequency band from 1 mHz to 0.1 Hz.
MICROGRAVITY SCIENCE AND TECHNOLOGY
(2022)
Article
Astronomy & Astrophysics
Gang Wang, Wei-Tou Ni, Wen-Biao Han, Peng Xu, Ziren Luo
Summary: The study investigated three possible configurations of the LISA-TAIJI network, with the LISA-TAIJIm network showing the best performance in sky localization and polarization determination for massive binary systems, while LISA-TAIJIc could achieve optimal sensitivity to observe the stochastic GW background.
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.