A reconfigurable architecture for maximizing energy harvesting of thermoelectric generators in non-stationary conditions DOI
Javier de las Morenas, Rafael Zárate-Miñano, Pablo Fernández-Yáñez

и другие.

Thermal Science and Engineering Progress, Год журнала: 2024, Номер 55, С. 102932 - 102932

Опубликована: Сен. 25, 2024

Язык: Английский

Evaluation and optimization of fuel economy for an SUV installed with automobile exhaust thermoelectric generators DOI
Rui Quan,

Yulong Zhou,

Cheng Gong

и другие.

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 125605 - 125605

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

4

Multi-optimized reconfiguration of hybrid photovoltaic-thermoelectric generation (PV-TEG) system for performance enhancement DOI
Jingbo Wang, Yulin Li, Bo Yang

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 307, С. 118373 - 118373

Опубликована: Март 30, 2024

Язык: Английский

Процитировано

12

Toward Precise Long-Term Rockburst Forecasting: A Fusion of SVM and Cutting-Edge Meta-heuristic Algorithms DOI
Danial Jahed Armaghani, Peixi Yang, Xuzhen He

и другие.

Natural Resources Research, Год журнала: 2024, Номер 33(5), С. 2037 - 2062

Опубликована: Июнь 19, 2024

Язык: Английский

Процитировано

11

Global advancements of solar thermoelectric generators application, limitations, and prospects: A comprehensive review DOI

Roshan Manghwar,

Jeyraj Selvaraj, Nasrudin Abd Rahim

и другие.

Applied Thermal Engineering, Год журнала: 2024, Номер 257, С. 124231 - 124231

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

7

A Survey of Artificial Hummingbird Algorithm and Its Variants: Statistical Analysis, Performance Evaluation, and Structural Reviewing DOI

Mehdi Hosseinzadeh,

Amir Masoud Rahmani,

Fatimatelbatoul Mahmoud Husari

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown

Опубликована: Май 27, 2024

Язык: Английский

Процитировано

6

Layer-deepened current harmonized improvement method: An optimal electrical array configuration method for performance optimization of a thermoelectric generator DOI
Taeho Choi, Tae Young Kim

Applied Thermal Engineering, Год журнала: 2024, Номер 248, С. 123143 - 123143

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

3

Optimization of solar thermoelectric systems operating under non-uniform irradiation DOI

K.F. Wang,

Ershuai Yin,

Yingping Long

и другие.

Energy Reports, Год журнала: 2025, Номер 13, С. 1525 - 1536

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

0

Reconfiguration strategy for solar array system on stratospheric airship based on cost-benefit analysis DOI
Yi Jiang, Jun Li

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122532 - 122532

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments DOI Creative Commons
Zichong Wang, Yingying Zheng

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2702 - 2702

Опубликована: Март 3, 2025

The microgrid is a small-scale, independent power system that plays crucial role in the transition to carbon-neutral energy systems. Combined heat and (CHP) systems with storage reduce waste within microgrids, enhancing utilization efficiency. key challenge for integrated combined determining optimal configuration operation duration under different scenarios meet users’ electricity demands while minimizing both economic environmental costs. Thus, this paper presents bi-objective mathematical model solve scheduling problem of microgrid. Long Short-Term Memory–Parallel Multi-Objective Energy Valley Optimizer (LSTM-PMOEVO) framework incorporates load prediction using LSTM planning solved via PMOEVO. These strategies address challenges posed by unpredictable fluctuations complexity solving such Finally, public dataset was utilized experiments verify performance proposed algorithm. Comparisons discussions show optimization significantly improve PMOEVO, demonstrating marked advantages over six classical algorithms. In conclusion, PMOEVO developed performs excellently Scheduling Problem Biomass-Hybrid microgrids considering uncertainty. work presented provides new solution microgrid-scheduling future research, will be further advanced application real-world scenarios.

Язык: Английский

Процитировано

0

How to improve eco-efficiency of projects with low-carbon transition in energy utilization DOI
Yiming Ke, Wei Liu, Jingxuan Wang

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135531 - 135531

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0