Use of a Weather Forecast Model to Identify Suitable Sites for New Wind Power Plants in Karnataka

Gangopadhyay, Anasuya; Kanase, Radhika; Mohan, Greeshma M.; Halder, Madhuparna; Deshpande, Medha; Mukhopadhyay, Parthasharathi; Srinivasan, J

doi:10.18520/cs/v117/i8/1347-1353

Cited by 5 publications

(3 citation statements)

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“…The list of the physics parametrizations used in the WRF simulations is given in Table . These physics parameters are chosen based on the sensitivity studies done over Maharashtra (Mukhopadhyay et al ., ; Gangopadhyay et al ., ). It is reported that the Morrison double‐moment cloud microphysical scheme could simulate thunderstorms over northeast regions reasonably well as reported by Halder and Mukhopadhyay ().…”

Section: Methodsmentioning

confidence: 97%

A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India

Choudhury

Konwar

Hazra

et al. 2020

Quart J Royal Meteoro Soc

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Numerical simulations of a thunderstorm event that occurred in the pre‐monsoon season over the North‐Eastern region of India (NEI) and Bangladesh are performed using Weather Research and Forecasting (WRF) Advanced Research Weather Research and Forecasting Model (ARW, version 3.8.1). Doppler weather radar indicates severe convective activity lasted for more than 10 hr. These extremely deep convective clouds with minimum cloud‐top temperature −70 °C at 19 km were triggered by the mixing of a moist air mass transported from the Bay of Bengal in the south and dry air transported from the northwest. A cyclonic circulation observed over the Tibetan plateau is likely to be associated with the strong southerly low‐level wind over NEI, as the plateau acts as a source of heat‐lows during the pre‐monsoon season. The coexistence of ice particles and supercooled water in the storms resulted in a large number of lightning flashes during the storm as observed from the Tropical Rainfall Measuring Mission Lightning Imaging Sensor (TRMM‐LIS). Co‐location of supercooled cloud water droplets helps in forming graupel through riming that plays a vital role in these convective systems. Lightning flashes calculated from WRF simulation using the Morrison microphysical and cloud top height based dynamical lightning parametrization scheme was found comparable with the observed flashes from TRMM‐LIS. Since the WRF model could simulate the thunderstorm, we recommend using this state‐of‐the‐art regional model in thunderstorm and lightning predictions for northeast India which would be useful in preparedness for such extreme events.

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Section: Methodsmentioning

confidence: 97%

A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India

Choudhury

Konwar

Hazra

et al. 2020

Quart J Royal Meteoro Soc

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“…Given the presence of a substantial diurnal cycle in the monsoon wind speed over India [5], we fit equation (1) to the seasonal (JJAS) average wind pattern estimated based on 10 yr of ERA5 data (2010-2019):…”

Section: Diurnal Cyclementioning

confidence: 99%

“…With increasing renewables, the management of variability in a renewable-rich electricity grid becomes crucial. The integration of wind energy is challenged by variability on different time scales (interannual, seasonal, diurnal, and minute to minute) [2][3][4][5][6][7]. Smoothing of wind generation or reduction of variance in the aggregate generation is required for reducing variability and fluctuations in the electric grid.…”

Section: Introductionmentioning

confidence: 99%

Beneficial role of diurnal smoothing for grid integration of wind power

Gangopadhyay

Seshadri

Toumi

2023

Environ. Res. Lett.

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Smoothing of generation variability, i.e., reduction of variance in the aggregate generation is crucial for grid integration of large-scale wind power plants. Prior studies of smoothing have focused on geographical smoothing, based on distance. In contrast, we propose a novel concept “diurnal smoothing” that depends on spatial variations in the timing of seasonal-mean diurnal cycle peak. Considering the case of India, which experiences a strong diurnal cycle of wind-speed, we show how spatial heterogeneity in the wind diurnal cycle can be exploited to smooth wind power variability over and above geographical smoothing. For any given separation distance between sites, the hourly wind speed correlation is highly variable. Difference in timing of the diurnal cycle peak is an important factor for explaining this variability and we define smoothing from differently timed seasonal-mean diurnal cycle as “Diurnal smoothing”. We show that apart from separation distance, the diurnal cycle is crucial for correlation among sites separated by 200 km or more with strong diurnal cycles (amplitude more than approximately 0.5 m/s). Thus, diurnal smoothing is a vital factor in the aggregation of large wind power plants, and grid integration is benefited by considering (in addition to distance) new wind plant sites with largely separated diurnal cycles, especially those differing by roughly 12 hours. Such diurnal smoothing is relevant for regions across the world with strong wind speed diurnal cycles. Ultimately grid integration depends on variations in total wind and solar generation and demand. Hence, their combined effects must be studied.

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Evaluating different lightning parameterization schemes to simulate lightning flash counts over Maharashtra, India

Mohan

Vani

Hazra

et al. 2021

Atmospheric Research

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Use of a Weather Forecast Model to Identify Suitable Sites for New Wind Power Plants in Karnataka

Cited by 5 publications

References 0 publications

A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India

A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India

Beneficial role of diurnal smoothing for grid integration of wind power

Evaluating different lightning parameterization schemes to simulate lightning flash counts over Maharashtra, India

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