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This paper presents a case study of a new methodology to accurately characterize and predict the annual variation of wind conditions applied on Ichanda site, Tamil Nadu, India showing dual behaviour. The estimate of the distribution of wind conditions is necessary to quantify the available energy (power density) at a site, and to design an optimum wind farm. Wind speed frequency distribution for some sites with two distinct peaks is not represented accurately by the typical two parameter Weibull distribution. The wind characteristics of Ichanda has been analysed by using wind data recorded by meteorological mast installed at that location. By examining the analysis, it shows that wind speed distribution is not demonstrated precisely by two parameter Weibull distribution. A mixed Weibull probability distribution function (PDF) is applied to analyse wind speed frequency distribution in that region. This model can be applied to regions where the wind speed distribution presents a bimodal distribution to predict wind speed probability distribution and annual energy production accurately.

The three marine microalgae (Chlorella vulgaris, Spirulina platensis and Nannochloropsis bacillaris) were collected from Vellar estuary, South east coast of India. These three microalgae were cultivated in respective media and estimated their biochemical composition and antibacterial activity. Simultaneously, these cultures were cultivated in flask containing 500 ml of respective media at lab condition for a period of one month and their growth, pH, biomass and CO 2 fixation and carbon content were determined. Based on the growth rate, the pH of three microalgae in media was observed at lab condition. During maximum growth and biomass, the pH was found to be ranged between 9 & 11 for Spirulina platensis, 7 & 9 for Chlorella vulgaris; 8 & 9 for Nannochloropsis bacillaris. Spirulina platensis and Chlorella vulgaris reached maximum growth rate whereas Chlorella vulgaris and Spirulina platensis showed maximum biomass produced. Chlorella vulgaris and Spirulina platensis attained maximum biomass in media at lab condition, also fixed highest level of carbon dioxide in media but they did not produce maximum biomass, though the growth of Nannochloropsis bacillaris were found high in media at lab condition. Among the three microalgae, Chlorella vulgaris and Spirulina platensis produced highest biochemical compounds. Hence Chlorella vulgaris and Spirulina platensis were selected as efficient microalgae for antibacterial activity against human pathogen. This study revealed that certain green algae and blue green microalgae having high growth, pH, CO 2 fixation, carbon content and biochemical composition paves the way for pharmaceutical activity. Antibacterial activity was evaluated for Chlorella and Spirulina with their potential health benefits.

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