Article
Energy & Fuels
Jie Lu, Chaobo Zhang, Junyang Li, Yang Zhao, Weikang Qiu, Tingting Li, Kai Zhou, Jianing He
Summary: Data-driven methods have been successful in estimating energy loads of general buildings during preliminary design stage, but face challenges with complex buildings. This study proposes a graph convolutional networks-based method to address this challenge, which includes graph representation, graphical model learning, and graphical model interpretation.
Article
Energy & Fuels
Jie Lu, Chaobo Zhang, Junyang Li, Yang Zhao, Weikang Qiu, Tingting Li, Kai Zhou, Jianing He
Summary: A graph convolutional networks-based method is proposed to estimate the energy loads of complex buildings, showing the highest accuracy among various data-driven models. The method divides buildings into basic blocks, learns energy load patterns using graphs, and interprets the relationships between building features and model output using class activation mapping.
Article
Thermodynamics
Yongming Han, Xiaoyi Lou, Mingfei Feng, Zhiqiang Geng, Liangchao Chen, Weiying Ping, Gang Lu
Summary: The analysis and saving methods of building energy consumption are crucial, utilizing both static and dynamic models to enhance energy efficiency in buildings which is significant for global sustainable development.
Article
Chemistry, Multidisciplinary
Zhao Wang, Qian Tang, Chuncai Shan, Yan Du, Wencong He, Shaoke Fu, Gui Li, Anping Liu, Wenlin Liu, Chenguo Hu
Summary: This study presents a universal design procedure for matched inductors for TENGs, improving energy utilization efficiency and proposing an optimum constant current resistance range for evaluating constant load performance. With the integration of a spark switch, an efficient energy management system was established, achieving high energy conversion efficiency and a wide output voltage range.
ENERGY & ENVIRONMENTAL SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Manish Kumar Dixit, Pranav Pradeep Kumar, Omid Haghighi
Summary: This study analyzed the embodied water intensity of construction materials and higher education buildings using an input-output hybrid model, highlighting the significance of energy-related embodied water use.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Emmanuel Aramendia, Matthew K. Heun, Paul E. Brockway, Peter G. Taylor
Summary: Physical Supply Use Tables provide a new framework that overcomes the limitations of Energy Extended Input Output Analysis, allowing for better description of energy conversion chains and tracking of energy flows. It has important applications in energy security analysis and disaggregation of greenhouse gas emissions.
Article
Engineering, Multidisciplinary
P. Saritha, V. Devi, Ajay Babu, R. P. Praveen
Summary: This paper presents the design and analysis of a MISO DC-DC converter for a hybrid renewable energy system with energy storage. The converter utilizes a non-isolated double boost converter and an inverted decoupler control strategy to regulate the output voltage from multiple-source renewable energy systems. Simulation results show that the proposed converter has reduced current ripple and improved dynamic performance compared to traditional controllers. Experimental validation on a 50 W hardware prototype confirms the effectiveness of the proposed MISO converter. The inverted decoupler is found to be immune to disturbances from the source end.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Mercedes Rodriguez, Jose A. Camacho, Lucas da Silva Almeida, Jesus Molina
Summary: This study examines the domestic and foreign energy use across industries in Brazil from 1995 to 2015. It reveals that only three industries accounted for 37% of total energy use in Brazil, with higher domestic energy self-sufficiency. Other industries, however, are increasingly reliant on foreign energy sources.
Article
Environmental Sciences
Xinyue Lin, Haoran Pan, Lingli Qi, Yi-Shuai Ren, Basil Sharp, Chaoqun Ma
Summary: This paper uses China's input-output table and structural decomposition analysis to identify the main driving factors affecting renewable energy utilization, including changes in consumption structure, technological progress, and per capita final demand. The supply of electric power, heat power, and water, as well as the manufacture of coke and refined petroleum products, are identified as the crucial sectors for achieving energy transition at the production level. However, the proportion of renewable energy has been declining at the household level, indicating the need for government intervention to promote green transitions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Adnan Abbas, Chengyi Zhao, Muhammad Waseem, Khurshied Ahmed Khan, Riaz Ahmad
Summary: This study evaluated the energy input-output of cotton production and its environmental interventions. The results showed that chemical fertilizer, diesel fuel, and irrigation water were the major energy consumers, with a high usage of nonrenewable energy resources. Additionally, it found that low energy use efficiency could be attributed to low technical efficiency.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Engineering, Environmental
Zhan-Ming Chen, Peilin Chen, Manfred Lenzen, Baigao Xiao, Arunima Malik
Summary: This study constructs a dynamic energy input-output model to analyze the embodied energy flows and stocks from 2000 to 2014. The results show that the global fixed capital stock stored a significant amount of embodied energy, which was three times the world's direct energy use. The gaps between the dynamic energy footprints and the traditional ones were larger in fast-developing countries. Net embodied energy usually flowed from high-intensity economies to lower-intensity economies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Xiaolong Li, Shuaiqiang Yuan, Yang Yu, Tangyang Jiang
Summary: This study uses the energy consumption method, input-output analysis method, and structural decomposition model to examine the energy-related carbon emissions and influencing factors of China's heavy industry. The findings show that the growth tendency of energy-related carbon emissions from China's heavy industry has been effectively controlled. Optimization of the energy consumption structure, upgrading of energy utilization technologies, and the generalized technological progress rate have an inhibitory effect on energy-related carbon emissions, while the final demand effect has an increasing effect. This study not only enriches the existing research literature on energy-related carbon emissions from the heavy industry in theory but also provides guidance for efficient control in practice.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Tangyang Jiang, Shuangqi Li, Yang Yu, Yufang Peng
Summary: This paper studies the carbon emissions and emissions reduction of China's construction industry from 2007 to 2017 using input-output analysis method, energy consumption method, and structural decomposition model. The results show that optimizing energy consumption structure, energy intensity effect, and input structure effect have a significant impact on reducing carbon emissions from the construction industry. However, the final demand effect has a positive effect on carbon emission growth.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
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.
Article
Thermodynamics
Than Htwe, Sutinee Sinutok, Ponlachart Chotikarn, Nowshad Amin, Md Akhtaruzzaman, Kuaanan Techato, Tareq Hossain
Summary: The study found that alternative rice cultivation methods are more energy-efficient and cost-effective compared to conventional methods. The modified SRI method shows promise as a rice cultivation strategy in Central Myanmar.
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.