Article
Thermodynamics
Congyu Wang, Jiwei Song, Lingkai Zhu, Wei Zheng, Zhaozhao Liu, Chengkun Lin
Summary: This paper examines the relationship between the operational flexibility of CHP plants and consumption of renewable energy generation, proposing that plant-level operation domain models can improve overall flexibility. Additionally, reducing heating extraction pressure can further increase the operational flexibility of CHP plants and reduce CO2 emissions.
APPLIED THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Xiu-mei Jiang, Qi-fen Li, Yong-wen Yang, Li-ting Zhang, Xiao-jing Liu, Ning Ning
Summary: This paper studies the flexibility of the integrated energy system by analyzing the characteristics and structure of flexible resources, modeling and analyzing typical flexible resources, and exploring the flexible adjustment of the system through optimization. The rationality of the scheduling scheme is verified, and the relationship between the access effect of flexible resources and the location of access nodes is explored.
Article
Thermodynamics
Wenqiang Li, Guangcai Gong, Zhongjun Ren, Qianwu Ouyang, Pei Peng, Liang Chun, Xi Fang
Summary: A new method for optimizing the energy consumption of heating ventilation and air conditioning (HVAC) system is proposed, which is based on load prediction and energy flexibility. The method includes energy consumption prediction, optimal chiller loading equation, and economic analysis, achieving a comprehensive energy-saving ratio of about 10% and a discounted payback value of 5.8 years.
Article
Thermodynamics
Zongyi Xing, Junlin Zhu, Zhenyu Zhang, Yong Qin, Limin Jia
Summary: This article proposes an energy consumption optimization model for tramway operation based on an improved PSO algorithm. By establishing an energy consumption model and applying the improved algorithm, the operational cost of tramway is reduced. The effectiveness of the developed method is validated using the Guangzhou Haizhu tramway as an example.
Article
Multidisciplinary Sciences
Mohammad Reza Sharifi, Saeid Akbarifard, Kourosh Qaderi, Mohamad Reza Madadi
Summary: The study employed five robust evolutionary algorithms for optimal operation of a multi-reservoir system and found that the MSA algorithm performed the best in terms of objective function value, CPU run-time, and convergence rate. This suggests that the application of robust EAs, particularly the MSA algorithm, is recommended to improve the operation policies of multi-reservoir systems.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Xiaolu Yu
Summary: This study proposes an application method of the improved particle swarm optimization algorithm in logistics energy-saving pickup information network to solve the logistics optimization problem. By establishing a mathematical model and encoding particles, the logistics cycle picking information scheduling optimization is achieved. The results show that the improved algorithm can effectively avoid premature convergence and search for the optimal solution in the global scope.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Multidisciplinary Sciences
Pham Vu Hong Son, Nghiep Trinh Nguyen Dang
Summary: The study introduces a hybrid multi-verse optimizer model (hDMVO) that combines the multi-verse optimizer (MVO) and the sine cosine algorithm (SCA) to solve the discrete time-cost trade-off problem (DTCTP). The optimality of the algorithm is evaluated using 23 benchmark test functions, demonstrating its competitiveness with other algorithms. The performance of hDMVO is further evaluated using four benchmark test problems, showing its superiority in time-cost optimization for large-scale and complex projects compared to previous algorithms.
SCIENTIFIC REPORTS
(2023)
Review
Computer Science, Information Systems
Hamed Jafari Kaleybar, Mohsen Davoodi, Morris Brenna, Dario Zaninelli
Summary: This paper reviews the applications of genetic algorithms (GAs) and their variants in the railway domain and conducts bibliometric analysis. The paper lists over 250 relevant publications and classifies and analyzes the applications of GAs in railway optimization problems, providing a comprehensive analysis and roadmap for experts and researchers in the field to identify research gaps and opportunities.
Article
Computer Science, Information Systems
Kaili Shao, Hui Fu, Bo Wang
Summary: Task scheduling in cloud services is a critical issue that needs improvement for better performance. We propose a hybrid heuristic algorithm called PGSAO, which is a combination of genetic algorithm (GA) and particle swarm optimization (PSO), to solve the task-scheduling problem in heterogeneous cloud computing. Extensive simulated experiments demonstrate that on average, PGSAO outperforms other meta-heuristic and hybrid heuristic algorithms by achieving 23.0-33.2% more accepted tasks and 27.9-43.7% higher resource utilization.
Article
Energy & Fuels
M. F. Roslan, M. A. Hannan, Pin Jern Ker, R. A. Begum, T. M. Indra Mahlia, Z. Y. Dong
Summary: This study presents the development of an optimal power scheduling controller using lightning search algorithm for energy management of distributed energy resources in a microgrid system. The optimized controller aims to minimize total operating costs, reduce environmental emissions, and solve complex constraint optimization problems. Comparative analysis shows that the lightning search algorithm offers a more cost-effective solution with significant cost savings and carbon dioxide emission reductions compared to other optimization algorithms.
Article
Energy & Fuels
Yuana Adianto, Craig Baguley, Udaya Madawala, Nanang Hariyanto, Suwarno Suwarno, Teguh Kurniawan
Summary: A novel charge scheduling strategy is proposed in this paper to address the needs of vertically structured power systems without relying on time-of-use pricing. By providing a decision-making framework that considers the considerations of transmission and distribution network operators and allowing for dynamically changing charging loads through timely forecast updates, the strategy demonstrates its effectiveness in a case study.
Article
Engineering, Civil
Kobra Rahmati, Parisa-Sadat Ashofteh, Hugo A. Loaiciga
Summary: Hydropower is optimized using the Grasshopper Optimization Algorithm (GOA) in this study, indicating that GOA is more efficient in optimizing hydropower systems, especially in future scenarios. However, the Particle Swarm Optimization (PSO) algorithm performs better in determining energy deficits in future periods. In three-reservoir systems, PSO shows the best performance in future scenarios.
WATER RESOURCES MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Xiaoyong Tang, Cheng Shi, Tan Deng, Zhiqiang Wu, Li Yang
Summary: The study introduces a random matrix particle swarm optimization scheduling algorithm for cloud service scheduling, as well as two parallel algorithms to reduce its time complexity. Experimental results demonstrate that the GPU-accelerated algorithm performs better compared to the others.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Hong Wang, Yikun Ou, Yixin Wang, Tongtong Xing, Lijing Tan
Summary: A semi-supervised bacterial heuristic feature selection algorithm is proposed to address high-dimensional and label-missing problems. The algorithm utilizes a k-nearest neighbor semi-supervised learning strategy to reconstruct missing labels and improves the bacterial heuristic algorithm using population initialization, dynamic learning, and elite population evolution strategies. Experimental results demonstrate its advantages in terms of classification accuracy and selected feature numbers.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Information Systems
Xinming Zhang, Qiuying Lin
Summary: This paper proposes an improved SL-PSO algorithm, called TLS-PSO, which enhances the optimization performance of PSO through the use of three learning strategies and a hybrid learning mechanism. Experimental results demonstrate that TLS-PSO outperforms state-of-the-art PSO variants and other algorithms on complex functions and engineering problems, indicating its superior performance and potential for practical problem-solving.
INFORMATION SCIENCES
(2022)
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.