Article
Engineering, Chemical
Zheyu Jiang, Mohit Tawarmalani, Rakesh Agrawal
Summary: This article presents an accurate shortcut-based algorithmic method to determine the minimum reflux condition for multi-feed, multi-product distillation columns. Unlike existing techniques, this method does not involve rigorous tray-by-tray calculations or guessing of key components. The article includes a mathematical model, constraints, and an illustrative example to demonstrate the effectiveness of the approach.
Article
Engineering, Chemical
Zeyuan Yu, Wu Zhao, Xin Guo, Huicong Hu, Chuan Fu, Ying Liu
Summary: Design decisions occur in all phases of product design. Integration of decision methods and indicators can improve design continuity and efficiency. This study proposes a TOPSIS-MOGA-based multi-indicators decision model, integrating decision indicators for conceptual and detailed design, and selecting design solutions through a multiobjective genetic algorithm.
Article
Green & Sustainable Science & Technology
Weronika Kruszelnicka, Jakub Hlosta, Jan Divis, Lukasz Gierz
Summary: The research aims to investigate the relationships between multi-disc mill performance parameters and comminution characteristics. Experimental results show that disc angular speed affects power consumption, specific energy consumption, and size reduction ratio, while batch dosing speed affects throughput. Fitting curves of comminution indicators in dependence of selected performance parameters are also presented in the study.
Article
Management
He Xu, Pin Zhou
Summary: This paper investigates the manufacturer's optimal product line design under different production strategies and explores the impact of customer preference structures on pricing, quality, and profit. Results show that commonality can reduce cannibalization.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2021)
Article
Thermodynamics
Rei-Yu Chein, Cheng-Yang Lu, Wei-Hsin Chen
Summary: Syngas production based on chemical looping reforming was experimentally studied using a fixed-bed reactor. The results showed that efficient methane reforming and hydrogen production can be achieved under different reaction conditions.
Article
Construction & Building Technology
Xin (Maxwell) Lin, Shengxuan Ye, Qianyun Wen, Weihua Zhou, Jiangtao Huangfu, Yangbing Xu
Summary: This paper proposes a two-stage decision framework for the day-ahead operations of the smart information center (SIC) in microgrids (MGs). The framework includes a multi-energy intra-scheduling and inter-sharing model (MIIM) to minimize total costs and a smart cost-saving redistribution model (SCRM) to incentivize long-term energy sharing. The results show that the framework can effectively reduce carbon emissions, utilize renewable energy, and promote energy sharing in MGs.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Computer Science, Information Systems
Tamir Bendory, Dan Edidin, William Leeb, Nir Sharon
Summary: We study the problem of dihedral multi-reference alignment and show that the optimal estimation rate in high noise regime is proportional to the square of the variance of the noise. We also propose several computational frameworks for signal estimation.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Chemistry, Analytical
Xinyu Zhang, Mengjiao Ren, Jiemin Duan, Yingmin Yi, Biyu Lei, Shuyue Wu
Summary: This paper proposes an intelligent cost-reference particle filter algorithm based on multi-population cooperation to solve the problems of lack of particle diversity and sensitivity to the particles' initial value. By designing a multi-population cooperative resampling strategy and a cooperative strategy based on Gaussian mutation, the proposed method improves the estimation accuracy of the cost-reference particle filter.
Article
Chemistry, Physical
Adam Margocsy, Agnes Szabados
Summary: The new scheme based on MRGWT introduces a hierarchical structure in the equations, facilitating approximation design and revealing a substitution method for one- and two-particle interaction vertices.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2021)
Article
Engineering, Electrical & Electronic
Noam Janco, Tamir Bendory
Summary: The proposed computational framework, Synch-EM, combines angular synchronization and expectation-maximization (EM) to learn rotation distribution and accelerate the solution to the multi-reference alignment (MRA) problem significantly in high noise levels while maintaining reconstruction quality.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Agriculture, Dairy & Animal Science
Sosthene Musigwa, Natalie Morgan, Robert A. Swick, Pierre Cozannet, Sarbast K. Kheravii, Shu-Biao Wu
Summary: The study showed that multi-carbohydrase (MC) improved energy utilization in broilers but also led to increased fat deposition. Gene expression related to energy production influenced bird performance.
Article
Engineering, Electrical & Electronic
Asaf Abas, Tamir Bendory, Nir Sharon
Summary: This paper studies the application of the generalized method of moments (GMM) to multi-reference alignment (MRA). The paper proves the asymptotic optimality of the GMM estimator for statistical models with group symmetry, including MRA, and demonstrates the significant improvement of GMM compared to the classical method of moments in MRA through comprehensive numerical experiments. The paper also presents the formulation of GMM for estimating a three-dimensional molecular structure using cryo-electron microscopy and provides numerical results on simulated data.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Immunology
Naglaa Fathy Radwan, Ghada Ahmed Abu-Sheasha, Ramez Naguib Bedwani, Omaima Gaber Yassine
Summary: The implementation of MDVP in Alexandria significantly reduced the wastage rate of vaccines, leading to significant cost savings.
Article
Food Science & Technology
Kate R. Griffiths, Jacob L. H. Mclaughlin, Felicity Hall, Lina Partis, Samuel C. Hansen, Rachel Tulloch, Daniel G. Burke
Summary: In this Methods paper, new assays for the quantification of various meat species have been developed using PCR amplification of DNA. By measuring the copy numbers of specific genes in meat samples, it is possible to detect and quantify different species of meat accurately. Additionally, the use of synthetic DNA reference material provides a standardized positive control, improving the reliability and comparability of laboratory testing.
Article
Engineering, Electrical & Electronic
Xiaoxuan Wang, Yingmin Yi, Li Wu, Chun-Yi Su, Yankai Li, Bojun Liu
Summary: This paper introduces a cost reference particle filter with multi-probability distribution (CRPF_MPD) to address the lack of particle diversity problem in particle filtering. By utilizing multi-probability distribution, information interaction and particle selection, the method achieves improved state estimation accuracy and robustness for dynamic systems with unknown noise statistics.
DIGITAL SIGNAL PROCESSING
(2023)
Article
Thermodynamics
X. G. Liu, C. He, C. C. He, J. J. Chen, B. J. Zhang, Q. L. Chen
Article
Engineering, Chemical
XiaoCui Xie, Yi Zhang, Chang He, Tao Xu, BingJian Zhang, QingLin Chen
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2017)
Article
Green & Sustainable Science & Technology
Bing J. Zhang, Tao Xu, Chang He, Qing L. Chen, Xiang L. Luo
JOURNAL OF CLEANER PRODUCTION
(2017)
Review
Green & Sustainable Science & Technology
Jingzheng Ren, Hanwei Liang, Liang Dong, Zhiqiu Gao, Chang He, Ming Pan, Lu Sun
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2017)
Article
Engineering, Environmental
Da An, Beidou Xi, Jingzheng Ren, Yue Wang, Xiaoping Jia, Chang He, Zhiwei Li
RESOURCES CONSERVATION AND RECYCLING
(2017)
Article
Engineering, Chemical
Chang He, Fengqi You, Xiao Feng
Article
Engineering, Chemical
Chang He, Fengqi You
Article
Engineering, Chemical
He Chang, Feng Xiao, Khim Hoong Chu, Li Anxue, Liu Yongjian
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2014)
Article
Engineering, Chemical
Chang He, Fengqi You
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2014)
Article
Thermodynamics
Xiaocui Xie, Hua Liu, Chang He, Bingjian Zhang, Qinglin Chen, Ming Pan
APPLIED THERMAL ENGINEERING
(2019)
Article
Thermodynamics
Xiaocui Xie, Chang He, Tao Xu, Bingjian Zhang, Ming Pan, Qinglin Chen
APPLIED THERMAL ENGINEERING
(2017)
Proceedings Paper
Engineering, Chemical
Chang He, Fengqi You
26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT A
(2016)
Proceedings Paper
Engineering, Chemical
X. G. Liu, C. C. He, J. J. Chen, C. He, B. J. Zhang, Q. L. Chen
26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT A
(2016)
Proceedings Paper
Engineering, Chemical
Chang He, Fengqi You
12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING (PSE) AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B
(2015)
Proceedings Paper
Engineering, Chemical
Chang He, Fengqi You
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN
(2014)
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.
