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

et al.

Thermal Science and Engineering Progress, Journal Year: 2024, Volume and Issue: 55, P. 102932 - 102932

Published: Sept. 25, 2024

Language: Английский

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

Yulong Zhou,

Cheng Gong

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125605 - 125605

Published: Jan. 1, 2025

Language: Английский

Citations

4

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

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118373 - 118373

Published: March 30, 2024

Language: Английский

Citations

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

et al.

Natural Resources Research, Journal Year: 2024, Volume and Issue: 33(5), P. 2037 - 2062

Published: June 19, 2024

Language: Английский

Citations

11

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

Roshan Manghwar,

Jeyraj Selvaraj, Nasrudin Abd Rahim

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 257, P. 124231 - 124231

Published: Aug. 24, 2024

Language: Английский

Citations

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

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: May 27, 2024

Language: Английский

Citations

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, Journal Year: 2024, Volume and Issue: 248, P. 123143 - 123143

Published: April 8, 2024

Language: Английский

Citations

3

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

K.F. Wang,

Ershuai Yin,

Yingping Long

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 1525 - 1536

Published: Jan. 18, 2025

Language: Английский

Citations

0

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

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122532 - 122532

Published: Feb. 1, 2025

Language: Английский

Citations

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, Journal Year: 2025, Volume and Issue: 15(5), P. 2702 - 2702

Published: March 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.

Language: Английский

Citations

0

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

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135531 - 135531

Published: March 1, 2025

Language: Английский

Citations

0