National Gas Hydrate Program expedition 02: Identification of gas hydrate prospects in the Krishna-Godavari Basin, offshore India
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Here, in this study, the impact of increased solar penetration in the electricity generation mix on residential electricity consumer bills is explored. The study comprises of two sections: simulation of wholesale electricity rates and retail rate modeling. In the first stage, wholesale prices were modeled using a bottom-up long term unit commitment optimization model for different energy mix scenarios based on increased solar penetration, ranging from 5 to 40% on energy basis. The simulations indicated a fall in wholesale prices with increased solar penetration, a result of merit order effect. The simulated wholesale prices were then used to model retail rates for residential consumers. Four different types of retail rates were designed: flat rate, real time pricing, time of use and critical peak pricing. The impact of these retail rate mechanisms on electricity bills of residential consumers was analyzed and it was found that the bill savings achieved from time varying rates are greater than for time invariant rates. With increased solar penetration, customers with time-varying rates are likely to benefit the most from electricity bill savings. Although consumers with flat rate gain bill savings with increased solar penetration, the savings are likely to be lower than with time-varying rates.
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In June 2013, Uttarakhand experienced a hydro-meteorological disaster due to a 4 d extreme precipitation event of return period more than 100 years, claiming thousands of lives and causing enormous damage to infrastructure. Using the weather@home climate modelling system and its Half a degree Additional warming, Prognosis and Projected Impacts simulations, this study investigates the change in the return period of similar events in a 1.5 °C and 2 °C warmer world, compared to current and pre-industrial levels. We find that the likelihood of such extreme precipitation events will significantly increase under both future scenarios. We also estimate the change in extreme river flow at the Ganges; finding a considerable increase in the risk of flood events. Our results also suggest that until now, anthropogenic aerosols may have effectively counterbalanced the otherwise increased meteorological flood risk due to greenhouse gas (GHG) induced warming. Disentangling the response due to GHGs and aerosols is required to analyses the changes in future rainfall in the South Asia monsoon region. More research with other climate models is also necessary to make sure these results are robust.
Anoxybacillus suryakundensis strain JS1 T , a facultative anaerobic, moderately thermophilic, alkalitolerant bacterium, was isolated from a hot spring. The estimated genome is 2.6 Mb and encodes 2,668 proteins.
The moderately thermophilic bacterium Chelatococcus sambhunathii strain HT4 T was isolated from hot spring sediment. Based upon the draft genome sequence, the genome is 4.4 Mb and encodes 4,147 proteins.
Gulbenkiania indica strain HT27 T was isolated from a sulfur spring. Here, we report the first representative draft genome sequence of a type strain of the genus Gulbenkiania. The estimated genome is 2.8 Mb, with 2,713 protein-coding sequences.