The weighted sum of the standardized meteorological parameter data was performed (2). The data in which η i, s, y ≤1 is kept for Formula 2. (2) DS = ∑ i K i · η i, s, y where K i is the weight of each meteorological parameter; see Table 1. DS is a summary of the above eight parameter statistical values, and the smaller the DS value, the
In the past, many scholars have used machine learning models with different meteorological parameters as input to predict daily solar radiation in China [34]. For example, Chen et al. [35
The solar radiation data can be measured using pyranometer measurements on the ground, which are mainly distributed in large cities [9]. The general meteorological parameters such as temperature, relative humidity, wind speed and sunshine duration are also observed, which are called as surface meteorological stations and distributed in cities, counties and towns.
In China, the long-term SSR values could be directly observed in 122 China Meteorological Administration (CMA) radiation stations (Zou et al., 2016). the temporal variability in SSR depends on atmospheric parameters, such as cloud cover, aerosol loading and water vapor (Antón et al., 2012; Haywood et al., 2011; Hu et al., 2016; Qian et al
DOI: 10.1016/J.ENCONMAN.2010.05.021 Corpus ID: 95519026; Estimation of daily solar radiation from routinely observed meteorological data in Chongqing, China @article{Li2010EstimationOD, title={Estimation of daily solar radiation from routinely observed meteorological data in Chongqing, China}, author={Maolin Li and Hongbin Liu and Pengtao
Influences of Different Meteorological Parameters on Outdoor Thermal Comfort in Cold Climate Regions in China Kuixing Liu, Tingting Gan, Wenyu Liu, Dayi Lai and Gang Liu China, showing that outdoor solar radiation and air temperature were decisive factors affecting outdoor thermal comfort in winter [1]. This result is consistent with the
The solar insolation, an important parameter in designing and planning solar photovoltaic systems, at four meteorological stations of EG (viz. Debre Markos, Debrewerq, Mota and Yetnora) is
To accurately evaluate the nature of solar energy resources throughout China, we first need to understand the spatial and temporal distribution characteristics of solar
Empirical parameter for solar PV. Köppen-Geiger climate classification of China based on weather data adopted in this work. f, distributions of lens concentration ratios obtained via optimization (b) and machine learning prediction (d) partitioned by major climate types in China. The left and right half-violins are normalized separately
For example, in China, 2,440 meteorological stations are observing routine meteorological parameters, of which only 122 stations measure solar radiation (Chen and Li, 2013). Therefore, it is necessary to develop models for estimating solar radiation based on the general meteorological parameters since there is a shortage of solar radiation data.
assemble CLIGEN input parameter values for 2405 sites stations in mainland China based on meteorological observations; (2) 115 evaluate spatial interpolation techniques for regionalizing CLIGEN parameters; (3) produce grid-based CLIGEN temperature, solar radiation and precipitation parameter values at 10 km resolution for mainland China.
The routine meteorological parameters such as S, maximum air temperature (T max), minimum air temperature (T min), relative humidity (RH), and wind speed are measured at surface meteorological stations, which are more widespread than solar radiation stations. For example, there are about 2400 surface meteorological stations in China [1].
In particular, solar power depends on parameters such as solar irradiance and temperature, (ASTGNN-LSTM) model in forecasting wind speed and solar radiation using 20 years of meteorological data from Northwest China. The ASTGNN-LSTM model significantly outperforms traditional methods such as the historical average (HA), autoregressive
Using data from the Xi''an station as an example, the fourth part uses dry bulb temperature, relative humidity, dew point temperature, water content, total solar radiation, and cloud cover as control variables, with the difference in heat transfer models as the observed variable, to conduct a sensitivity analysis on key meteorological parameters.
Accurate estimation of the spatiotemporal variations of solar radiation is crucial for assessing and utilizing solar energy, one of the fastest‐growing and most important clean
Janjai et al. compared the influence of three TMY selection methods by using the 10-year meteorological data of four meteorological stations in Thailand [30].Then, some scholars have doubt to the weight of meteorological parameters constituting TMY, which mainly considering the solar building and the renewable energy, gives higher weighting factor to solar
Prediction of temperature zoning for steel-concrete composite beams based on meteorological parameters in China. Author links open overlay panel Yuping Zhang a b, Yonghao Chu a, Jun He [12] investigated the influence of meteorological factors such as solar radiation, air temperature, and wind speed on the vertical temperature distribution
Solar energy, the most accessible source of renewable energy, could provide solutions to the pressing problems of excessive consumption of fossil fuel, the greenhouse effect, increasing clean energy demand (Yang and Gueymard, 2019) recent decades, many countries and regions have devoted significant attention and effort to developing solar energy
Recently, several empirical models to estimate monthly mean daily H d using meteorological parameters have been developed around the world. The meteorological parameters include ambient temperature, relative humidity, sunshine hours, cloudiness, precipitation and vapour pressure [18].Reindl et al. [19] used solar altitude, ambient
The eight decomposition models and four models based on the main hourly meteorological parameters are developed and evaluated for climates and sky conditions using
The meteorological parameters were beneficial to the diffusion of pollutants, reduction of pollution, and suppression of occurrence and development of fog. Li, J.,
In this paper, an island at low latitude (16° 50ʹ N, 112° 20ʹ E) in China was selected as a case study. The meteorological data in recent 10 years (2005–2014) was provided by National Meteorological Information Center (https://data.cma.cn) includes four timing data of dry-bulb temperature, air pressure, relative humidity, wind speed and direction, sunshine
The DGSR measurements used in this study are from the National Meteorological Information Center, China Meteorological Administration. The data set contains daily
Filter data on solar radiation and meteorological measurements according to rule: if solar radiation and meteorological measurements are nan value, then excludes the data of this day. Fig. 1 shows the spatial distributions of 2474 CMA meteorological stations by blue circular symbols, of which 61 CMA radiation stations were represented by green circular symbols.
Parameters for daily solar radiation and storm pattern were based on 142 weather stations with daily solar radiation and sub- Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) and had been quality controlled by NMIC. Data lengths were different for these four datasets (Table 2).
In this study, changes in meteorological parameters of Harbin, Tianjin, Kunming, Shanghai, and Guangzhou, representing the five major climate zones of China, were analyzed to determine the effects
In this study, several equations were considered to estimate monthly average daily solar radiation from meteorological parameters: Sunshine hours and measured Temperature in Tepi, Ethiopia. These equations include the original Angstrom-Prescott linear regression and modified models (quadratic, polynomial, logarithmic and exponential functions) and
The measured data of monthly average daily global solar radiation (H, MJ/m 2), monthly average maximum temperature (Tmax, °C), and minimum temperature (Tmin, °C) at
The surface meteorological data for each city, including temperature, wind speed, wind directions, and dew point were acquired from China Meteorological Administration in the Meteorological Information Comprehensive Analysis and Processing System (MICAPS) (Luo et al., 2006). Relative humidity was calculated using the temperature and dew point information.
For China, Wang et al. [43] demonstrated that the kdf models with four parameters (kt, S/S0, Tmean, RH, δ, solar altitude at solar noon, solar zenith angle, or φ) performed better than other
The research is an attempt to overcome a paucity of solar radiation data and forecasting models in Batna, Algeria, using three approaches: regression, fuzzy logic, and artificial neural networks. The following input parameters were used in this work: the measured values of the duration of insolation(S), the time between sunset and sunrise (S0), the daily mean of
To generate all kinds of basic parameters needed for building energy efficiency design, based on quality controlled original measurements, surface meteorological data (air temperature,
each meteorological parameter and the global solar radiation measured on a hori- zontal surface for the seven de velopment years (1996–2002). For the test phase of the proposed models of solar
Then, country-level meteorological parameters were developed for energy-efficient building assessment in China, based on actual meteorological data in the present
In view of this, this study takes summer SSR in China as an example, combines estimated grid datasets of SSR with reanalysis meteorological data, and employs the
The solar radiation data can be measured using pyranometer measurements on the ground, which are mainly distributed in large cities [9].The general meteorological parameters such as temperature, relative humidity, wind speed and sunshine duration are also observed, which are called as surface meteorological stations and distributed in cities, counties and towns.
Then, country-level meteorological parameters were developed for energy-efficient building assessment in China, based on actual meteorological data in the present study. This set of meteorological parameters may facilitate engineering applications as well as allowing the updating and expansion of relevant building energy efficiency standards.
Thus, understanding the long-term variations of solar radiation is important for planning the utilizations of solar energy resources over mainland China in the future. Measurement by pyranometer with accurately calibrated are the best way to obtain the long-term SSR data (Wang et al., 2012).
The observed daily SSR (at 97 sites) and daily meteorological variables (at about 2400 stations) over China during 1980–2020 were available from the China Meteorological Administration. The raw records have been homogenized using combined method of static mode correction and mean value correction .
The daily data set of basic meteorological elements of China's national surface meteorological stations (V3.0) contains daily observations of basic meteorological elements measured at 2,474 major stations since January 1951.
Surface meteorological data (air temperature, relative humidity, etc.) and solar radiation data were generated for 1019 cities and towns in China from 1988 to 2017. All of these meteorological parameters can be accessed by the building sector via the sharing platform.
For example, 98 stations with solar radiation are available and about 2400 national meteorological stations in China , . Besides, there are about 70 thousand regional automatic meteorological stations, which observe one or more of the rainfall, temperature, relative humidity, and wind speed .
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