The application and optimization of scene reduction algorithm in integrated prediction of wind and photovoltaic energy DOI Open Access
Tao Zhang,

Ligang Yang,

Ruijin Zhu

et al.

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2903(1), P. 012042 - 012042

Published: Nov. 1, 2024

Abstract Wind power and photovoltaic energy, as the most representative clean energy sources, have experienced rapid development. However, they are highly dependent on meteorological conditions poor predictability, posing a significant challenge for integrated forecasting of wind energy. This paper investigates scenario reduction algorithm based Latin hypercube sampling probability distribution to optimize By generating large number scenarios utilizing Euclidean distance calculations, streamlined. The is implemented in MATLAB, effectiveness superiority demonstrated through detailed experiments plots.

Language: Английский

An improved swarm optimization algorithm using exploration and evolutionary game theory for efficient exploitation DOI
Nahum Aguirre, Erik Cuevas, Alberto Luque

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(4)

Published: March 4, 2025

Language: Английский

Citations

0
Inverse design method of deployable cylindrical composite shells for solar sail structure DOI
Qikun Zhang,

Diyong Huang,

Baisong Pan

et al.

Composite Structures, Journal Year: 2024, Volume and Issue: 352, P. 118698 - 118698

Published: Nov. 9, 2024

Language: Английский

Citations

3
Optimal condition design of cannabis drying for vacuum heat pump dryer using computational fluid dynamic method interaction with heat transfer DOI Creative Commons

Chatree Pentamwa,

Apichart Artnaseaw, Kriengkrai Nabudda

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104965 - 104965

Published: Aug. 10, 2024

Utilizing low temperatures and short drying cycles, the vacuum heat pump dryer (VHPD) is ideal for cannabis due to plant's sensitivity light. To achieve uniform maintain quality, it essential design with an efficient temperature distribution throughout chamber. CFD models are developed in this study simulate various scenarios within VHPD system. The optimization of pressure carried out using a systematic approach Latin Hypercube Sampling experimental design. This method generates twenty pairs values variables, confined ranges 20–40 kPa 30–45 °C, respectively. confirm simulation results, performed designed from insights gained through detailed analysis. conditions 20.2 at 31.6 °C considered optimal their more lower static enthalpy relative other conditions. upper chamber maintained slightly lower, range 30.5–31.5 °C. Furthermore, airflow demonstrates movement central region chamber, velocities ranging 2.5 3.5 m/s. simulated results demonstrated strong correlation difference 0–0.05 evidenced by RMSE 0.0191. successfully dries 18 kg fresh 180 min, reaching desired moisture content 10–14 % on dry basis.

Language: Английский

Citations

0
The application and optimization of scene reduction algorithm in integrated prediction of wind and photovoltaic energy DOI Open Access
Tao Zhang,

Ligang Yang,

Ruijin Zhu

et al.

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2903(1), P. 012042 - 012042

Published: Nov. 1, 2024

Abstract Wind power and photovoltaic energy, as the most representative clean energy sources, have experienced rapid development. However, they are highly dependent on meteorological conditions poor predictability, posing a significant challenge for integrated forecasting of wind energy. This paper investigates scenario reduction algorithm based Latin hypercube sampling probability distribution to optimize By generating large number scenarios utilizing Euclidean distance calculations, streamlined. The is implemented in MATLAB, effectiveness superiority demonstrated through detailed experiments plots.

Language: Английский

Citations

0