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Abstract: This paper presents the results of the application of model (developed in part I) and simulation algorithm (developed in part II) for determining the techno-economics of battery storage type hybrid energy system intended to supply the load of a rural remote area having a cluster of nine villages (grid isolated). The hour-by-hour simulation model is intended to simulate a typical one month period of system operation. For simulation purpose, hourly solar insolation data and load data have been generated and used as an input data. Demand side management (DSM) is used in this study to smooth out the daily peaks and fill valleys in the load curve to make the most efficient use of energy sources. The economic analysis has resulted in the calculation of optimized hourly, daily, and monthly system unit cost of proposed hybrid energy system. The obtained results represent also a helpful reference for energy planners in Uttarakhand state and justify the consideration of hybrid energy systems more seriously. [ABSTRACT FROM AUTHOR]

On 16 June 2013, intense and continuous rainfall together led to the collapse of moraine-dammed lake (Chorabari Lake) and devastated the entire land of Uttarakhand, Himalaya. This caused heavy floods in Uttarakhand (28°43′−31°27′ latitudes and 77°34′-81°02′ longitudes) along with unprecedented damage to life and property. Timely prediction and warning of such severe local weather systems over complex terrain are the first step towards disaster mitigation and bears huge societal impact. In this study, weather research and forecasting (WRF) model was configured at high spatial resolution (2 km) to simulate the Kedarnath heavy rainfall event over Uttarakhand region of India during 16-17 June 2013. Results showed that the WRF model was able to predict the Kedarnath heavy rainfall. Location and intensity of heavy rainfall were captured by the WRF model when verified with in situ measurements and satellite-retrieved rainfall products. Moreover, the explicit impact of topography in triggering this extreme weather event has been discussed using a diagnostic model which demonstrated that orographic component of rain rate is quite high over this region. [ABSTRACT FROM AUTHOR]