Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: Economic dispatch is a complex optimization problem in power system operation. This study focuses on the economic emission dispatch in combined heat and power systems and investigates the application of the grasshopper optimization algorithm with the binary approach. It considers various constraints such as valve point loading effect, ramp-rate limits, prohibited zones, and transmission losses. The results show that the applied method reduces fuel costs and emissions significantly. Additionally, wind farms are proven effective in reducing fuel costs and emissions.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
S. R. Spea
Summary: In this paper, the social network search algorithm (SNS) is applied to solve the combined heat and power economic dispatch (CHPED) problem. The performance of SNS is compared to other optimization algorithms, and it is proven to be effective in solving CHPED problems.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Thermodynamics
Zhongbo Hu, Canyun Dai, Qinghua Su
Summary: In this paper, an adaptive backtracking search optimization algorithm (DABSA) is proposed for solving the dynamic economic dispatch problem with valve-point effect (DED_vpe). DABSA utilizes a dual-learning strategy and an adaptive parameter control mechanism to improve solution accuracy and overcome premature convergence. Experimental results demonstrate that DABSA is competitive in terms of low fuel costs and high robustness.
Article
Thermodynamics
Ijaz Ahmed, Muhammad Rehan, Abdul Basit, Saddam Hussain Malik, Um-E-Habiba Alvi, Keum-Shik Hong
Summary: The purpose of this research is to investigate the multi-area economic emission dispatch problem (MEEDP) in the presence of renewable energy resources (RES) to improve the energy sustainability and climatic benefits. MEEDP is a multi-objective problem in smart grids, with the purpose of minimizing the operating costs and emissions of thermal units. RES have made a substantial contribution to greenhouse gases emission control and environmental sustainability. The integration of RES into conventional grids, which is becoming increasingly prevalent, spread the research scope of MEEDP and needs to be re-examined.
Article
Thermodynamics
Canyun Dai, Zhongbo Hu, Qinghua Su
Summary: This paper proposes an adaptive hybrid backtracking search optimization algorithm (AHBSA) for solving dynamic economic dispatch with valve-point effects (DED_vpe). By designing a suitable coupling structure and an improved mutation operator, AHBSA improves the solution accuracy while ensuring algorithm robustness, and achieves good performance in experiments.
Article
Engineering, Electrical & Electronic
Ravindra Manam, Ravindra Sangu, Lakshminarayana Pamidi, Manoz Kumar Reddy Karri
Summary: This paper introduces the RA-123 algorithm to solve the Economic Load Dispatch (ELD) problem by minimizing total generation cost and considering multiple constraints, demonstrating its ability and efficacy in solving the ELD problem.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Mathematical & Computational Biology
Shanshan Pan, Jinbao Jian, Linfeng Yang
Summary: This paper proposes a mixed integer linear programming approach to solve the dynamic economic dispatch problem and demonstrates its effectiveness and feasibility through experiments.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Thermodynamics
Shengping Xu, Guojiang Xiong, Ali Wagdy Mohamed, Houssem R. E. H. Bouchekara
Summary: This paper presents an improved comprehensive learning particle swarm optimization (CLPSO) named FV-ICLPSO to solve the optimization problem of economic dispatch in power systems. The proposed method demonstrates a significant advantage in convergence speed and is validated in multiple practical cases.
Article
Computer Science, Information Systems
Vedik Basetti, Shriram S. Rangarajan, Chandan Kumar Shiva, Harish Pulluri, Ritesh Kumar, Randolph E. Collins, Tomonobu Senjyu
Summary: In this paper, a novel meta-heuristic algorithm called QOPO is proposed to solve non-convex single and bi-objective economic and emission load dispatch problems. By simultaneously performing opposite estimate candidate solutions on each candidate solution, QOPO can find better solutions effectively. The results from applying QOPO on different systems and comparing with other techniques show that QOPO has good exploration and exploitation capabilities for determining optimal global solutions.
Article
Engineering, Electrical & Electronic
Kuntal Bhattacharjee, Kathan Shah, Jatin Soni
Summary: Economic Load Dispatch (ELD) is a fundamental requirement in power system operation, and this paper introduces a robust and effective technique called Artificial Eco System Optimization (AEO) Algorithm to solve ELD, which shows three distinct functions of living organisms and works to balance between the exploitation and exploration phases of the technique using producer, consumer, and decomposer operators.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2022)
Article
Computer Science, Information Systems
Wael T. El-Sayed, Ahmed S. A. Awad, Maher Abdelkhalek Azzouz, Mostafa F. Shaaban
Summary: This article proposes a hierarchical communication structure to solve the economic dispatch problem of coupled transmission networks and active distribution networks. By minimizing data transfer between the dispatching center and distribution network operators, and considering the network losses in both networks, the problem is formulated and solved. Sensitivity analysis shows that the R/X ratio of distribution lines has a significant impact on the economic dispatch solution and operational cost of the system.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Muhammad Farhan Tabassum, Muhammad Saeed, Nazir Ahmad Chaudhry, Javaid Ali, Muhammad Farman, Sana Akram
Summary: Economic load dispatch problems involve linear equality constraints and non-linear objective functions, posing a challenge for optimization techniques, especially deterministic methods.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Computer Science, Information Systems
Tianping Liu, Guojiang Xiong, Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan
Summary: The paper proposes an improved differential evolution (DE) algorithm OMLIDE based on opposition-mutual learning, hybrid mutation strategy, and parameters adaptive mechanism, effectively solving the economic load dispatch (ELD) problem in power systems.
INFORMATION SCIENCES
(2022)
Article
Multidisciplinary Sciences
Aiming Xia, Xuedong Wu, Yingjie Bai
Summary: In this study, a hybrid multi-objective algorithm combining Harris hawks optimization and differential evolution is proposed to solve the economic emission dispatch problem in power systems with valve-point effect. Experimental results demonstrate that the quality of solutions obtained by the suggested approach is superior to several existing algorithms.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)
