Joint Retrieval of PM2.5 Concentration and Aerosol Optical Depth over China Using Multi-Task Learning on FY-4A AGRI DOI
Bo Li, Disong Fu, Ling Yang

et al.

Advances in Atmospheric Sciences, Journal Year: 2024, Volume and Issue: 42(1), P. 94 - 110

Published: Dec. 9, 2024

Language: Английский

Fengyun Radiation Services for Solar Energy Meteorology: Status and Perspective DOI
Xiangao Xia, Dazhi Yang, Yanbo Shen

et al.

Advances in Atmospheric Sciences, Journal Year: 2024, Volume and Issue: 42(2), P. 252 - 260

Published: Dec. 28, 2024

Language: Английский

Citations

3

Experimental and simulated evaluation of inverse model for shallow underground thermal storage DOI Creative Commons
Fabian Eze,

Wang-Je Lee,

Youngsub An

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 59, P. 104535 - 104535

Published: May 11, 2024

This study employs an inverse grey-box (IGB) modeling approach, which combines measured data and the physics of systems to predict performance shallow underground thermal energy storage (UTES) with top side insulation. A simplified IGB model UTES was developed using network analysis. Experimental studies were conducted for vertical horizontal configurations. Detailed models representing field experiments TRNSYS simulation tool calibrated from experimental setup. The 4 Resistance 2 Capacitance (4R2C) trained tested in MATLAB model. In comparing UTES, prediction outlet water temperature showed good agreement, root mean square error (RMSE) coefficient variation RMSE (CVRMSE) values 0.94 °C 3.16% vertical, 0.99 2.97% also aligned well data, showing CVRMSE 7.91% 3.17% systems, respectively. Sensitivity analysis revealed that improves longer training durations closer testing times periods.

Language: Английский

Citations

2

A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology DOI Creative Commons
Dazhi Yang, Bai Liu, Hao Zhang

et al.

Advances in Atmospheric Sciences, Journal Year: 2024, Volume and Issue: 42(2), P. 269 - 296

Published: Dec. 28, 2024

Abstract The fundamental scientific and engineering knowledge concerning the solar power curve, which maps irradiance other auxiliary meteorological variables to photovoltaic output power, has been gathered put forward in preceding tutorial review. Despite many pages of that review, it was incomplete sense did not elaborate on applications this very important tool energy meteorology. Indeed, curves are ubiquitously needed a broad spectrum forecasting resource assessment tasks. Hence, review should continue from where left off present examples usage curves. In nutshell, together with one, elucidate how surface shortwave radiation data, be they ground-based, satellite-retrieved, or model-output, bridged various system operations via

Language: Английский

Citations

2

Quantitation of the Surface Shortwave and Longwave Radiative Effect of Dust with an Integrated System: A Case Study at Xianghe DOI Creative Commons
Mengqi Liu, Hongrong Shi, Jingjing Song

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(2), P. 397 - 397

Published: Jan. 9, 2024

Aerosols play a crucial role in the surface radiative budget by absorbing and scattering both shortwave longwave radiation. While most aerosol types exhibit relatively minor forcing when compared to their counterparts, dust aerosols stand out for substantial forcing. In this study, radiometers, sun photometer, microwave radiometer parameterization scheme clear-sky radiation estimation were integrated investigate properties of aerosols. During an event Xianghe, North China Plain, from 25 April 27 2018, composition (anthropogenic dust) optical depth (AOD, ranging 0.3 1.5) changed considerably. A notable effect (SARE) was revealed system (reaching its peak at -131.27 W·m

Language: Английский

Citations

1

Relative Humidity Dominances in Negative Air Ion Concentration: Insights from One–Year Measurements of Urban Forests and Natural Forests DOI Open Access
Yingjie Zhang, Yishen Hu, Yuqi Liu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 295 - 295

Published: Feb. 3, 2024

Forests are one of the most important sources negative oxygen ions (NAIs). NAIs have been recognized as beneficial for both physical and mental well–being, higher concentrations associated with improved health. However, environmental factors that predominantly influence NAI concentration their relationship remain uncertain. This study aims to investigate dominant impact on by observing various in two different environments (natural forest urban forest) Beijing region over a one–year period. Through our investigation, we aimed identify key factor well other influential variables affecting concentration. Our analysis encompassed examination dynamic changes multiple time scales, revealing uniform trends types. Notably, natural forests consistently demonstrated across these attributable greater vegetation density stability microenvironment. By utilizing regression, correlation analysis, structural equation determined relative humidity (RH) has significant effect RH displayed similar patterns scales. When considering hourly average daily variation, lowest values were observed at noon, followed an increase persisted throughout night. Seasonal variation showed peaked summer, autumn. In terms annual summer exhibited more days high RH, which can be attributed increased rainfall during season. Rainy weather was found contribute levels. Furthermore, findings revealed scale, occurred frequently under conditions air temperature low wind speed. quality index only minor forest, while net radiation no RH. The fitted equations aforementioned comparable. path further corroborates conclusions. this indicate is primary driving fluctuations including hourly, daily, seasonal variations. speed indirectly impacts modulating contrast, influences through directly. types similar, but degrees vary; forests, speed, index, slightly higher, higher. discovery enhances understanding underlying mechanisms within forests. Moreover, it confirms reliability effectiveness using indicator monitor time.

Language: Английский

Citations

1

Gridded Assessment of Mainland China’s Solar Energy Resources Using the Typical Meteorological Year Method and China Meteorological Forcing Dataset DOI Creative Commons
Zongpeng Song, Bo Wang, Hui Zheng

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(2), P. 225 - 225

Published: Feb. 14, 2024

The National Standard of China has recommended the typical meteorological year (TMY) method for assessing solar energy resources. Compared with widely adopted multi-year averaging (MYA) methods, TMY can consider year-to-year variations weather conditions and characterize radiation under climatological conditions. However, there are very few TMY-based assessments on scale China. On national scale, difference between MYA requirement data record length, impacts selection variables assessment still unclear. This study aims to fill these gaps by mainland China’s resources using Meteorological Forcing Dataset. results show that length could significantly influence annual total estimation when is shorter than 30 years. Whereas, becomes stable greater or equal years, suggesting a thirty-year preferred. methods exhibited primarily in places modest low abundance radiation. nearly independent examined lengths, hinting at role regional-specific characteristics. differ more pronounced seasonal stability grade. A 7.4% area experiences downgrade from relative while 3.15% an upgrade. notable impact assessment. Among three examined, wind speed most considerable both stability, dew point second significant impact, air temperature least. useful guiding future research be helpful development planning.

Language: Английский

Citations

1

Solar energy generation and power prediction through computer vision and machine intelligence DOI

Dipanjan Rout,

Naman Shyamsukha,

Harshit Mittal

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 103 - 123

Published: Oct. 1, 2024

Language: Английский

Citations

1

Accelerated Surface Brightening in China: The Decisive Role of Reduced Anthropogenic Aerosol Emissions DOI
Qi-Xiang Chen, Chunlin Huang,

Zhaohui Ruan

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: unknown, P. 120893 - 120893

Published: Oct. 1, 2024

Language: Английский

Citations

1

Impoverished villagers’ solar PV adoption in rural China: a perspective of agent intervention, economic benefit perception and sense of community DOI
Jiaxin Li, Chaofan Wang, Jiachao Peng

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134250 - 134250

Published: Dec. 1, 2024

Language: Английский

Citations

1

Experimental and Simulated Evaluation of Inverse Model for Shallow Underground Thermal Storage DOI
Fabian Eze,

Wang-Je Lee,

Youngsub An

et al.

Published: Jan. 1, 2023

This study conducted an experimental investigation of improved shallow vertical and horizontal configurations underground thermal energy storage (UTES). Detailed models representing the field experiment were developed in TRNSYS simulation tool calibrated using measured data. Additionally, a simplified inverse model UTES for predicting system performance, which incorporates top side insulations as with actual system, was network analysis. The 4 Resistance 2 Capacitance (4R2C) trained tested MATLAB both data from model.In comparing UTES, prediction outlet water temperature showed good agreement, root mean square error (RMSE) coefficient variation RMSE (CVRMSE) values 0.63°C 2.11% vertical, 0.97°C 2.94% configurations. also aligned well data, showing 0.91°C 0.45°C, CVRMSE 3.03% 1.34% systems, respectively. Sensitivity analysis revealed that performance improves longer training durations closer testing times to periods. Further, compared against previous studies on models.

Language: Английский

Citations

2