Imagine your rooftop solar panels working like a synchronized swim team - that's what the SG136TX brings to China's renewable energy game. As the backbone of commercial solar installations, this three-phase string inverter from SunGrow has become the secret sauce for projects requiring 100-150kW capacit
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Imagine your rooftop solar panels working like a synchronized swim team - that's what the SG136TX brings to China's renewable energy game. As the backbone of commercial solar installations, this three-phase string inverter from SunGrow has become the secret sauce for projects requiring 100-150kW capacity.
Recent procurement data shows why developers love it - ShuiFa Energy's 54kV project in May 2024 snapped up units at ¥23,000 each. That's cheaper than a Shanghai parking spot, but delivers 25-year returns.
Jingzhongxin Tech's 2021 installation used 518 panels paired with SG136TX inverters. The result? Energy output that outshines local coal plants' efficiency by 40% during peak hours. It's like replacing steam engines with bullet trains in the energy race.
Huaneng Group's 2024 procurement documents reveal SG136TX control boards in 94MW wind-solar hybrids. These babies handle voltage fluctuations better than a Beijing taxi driver navigates rush hour traffic.
With China's carbon neutrality targets, the SG136TX's 98.6% efficiency rating makes it the MVP of green energy transitions. Current Alibaba listings show:
Local suppliers like Jieyang New Energy report 300% YOY growth in SG136TX orders. It's not just hardware - the integrated monitoring system gives operators more control than a WeChat super-app.
While the specs dazzle, real-world installation requires understanding China's GB/T 19964-2012 grid standards. The SG136TX's reactive power compensation feature acts like a bouncer at a club, keeping harmonic distortion below 3% to meet strict grid requirements.
Maintenance teams report these inverters need less attention than a panda cub - with IP65 protection and -25°C to 60°C operating range, they handle Inner Mongolian sandstorms and Hainan humidity with equal ease.
The El Niño-Southern Oscillation (ENSO) influence on the East Asian winter monsoon (EAWM) exhibits remarkable non-stationarity on subseasonal timescales, severely limiting climate predictability. Her. . As the most prominent interannual climate variability on the planet, the El Niño-Southern. . Midwinter breakdown of the ENSO influence on the EAWMIn Fig. 1a, we first display the ENSO-regressed spatial pattern of the boreal winter seasonal (. . The ENSO footprints in the East Asian winter climate have been widely investigated. While the bulk of previous studies has focused on the influence at seasonal-to-inter. . Reanalysis and observational productsThe daily mean observational datasets used in this study are derived from the 699 weather stations in China (China Meteorological A. . All observational and reanalysis data used in this study are publicly available and can be downloaded from the corresponding websites. The stational data from the 699 weather stations. [pdf]
Heat waves in China have can be affected by ENSO where low pressure centers in the Pacific and Indian Ocean are induced by El Niño as well as intensification and westward extension of the subtropical high-pressure center which leads to favorable conditions for heat waves in southern China 46.
The relationship between the ENSO and the climate of China was revealed. The main results indicated the following: 1) there are two ENSO modes acting on the subsurface tropical Pacific. The first mode is related to the mature phase of ENSO, which mainly appears during winter.
The results indicate that, compared with the ENSO decaying summers, developing ENSO has much weaker effects on HWs in China, and the spatial patterns of the differences in HW statistics between El Niño and La Niña developing summers are also more heterogeneous.
This paper investigates the impacts of the El Niño Southern Oscillation (ENSO) on various aspects of heat waves (HWs), including frequency, duration, and magnitude, over China during 1961–2014. Results show that El Niño (La Niña) significantly amplifies (weakens) the HW activities in most areas of China.
During the La Niña winters, a generally opposite picture is detected. Our findings provide key insights into the non-stationarity of the ENSO effects on the EAWM, and carry important implications for the subseasonal predictability of the ENSO influence on the East Asian winter climate.
The weakened and northeastward WPSH leads to the Summer Drought over southeastern China. Therefore, ENSO plays an important role in modulating the spatiotemporal rainfall pattern in eastern China, probably through the rainfall amount effect and moisture source effect.
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