Journal of Energy Bioscience 2012, Vol.3, No.1, 1-12
        
      
      
      
        3
      
      
        and NASA-SSE along with terrain specific surface
      
      
        features (Khan et al., 2004). Wind energy potential of
      
      
        the Saharan desert in Algeria was assessed based on
      
      
        NASA-SSE data and prospected to power a wind
      
      
        based desalination plant to support agriculture in the
      
      
        arid region (Mahmoudi et al., 2009). The application
      
      
        of NASA-SSE data for wind power prospecting in two
      
      
        islands of Fiji was also demonstrated (Kumar and
      
      
        Prasad, 2010). These studies substantiate the
      
      
        advantage and increasing interest in synthesized data
      
      
        for regional wind resource assessment.
      
      
        The present study explores wind resource potential in
      
      
        Himachal Pradesh, a federal Indian state in Western
      
      
        Himalayas based on synthesised wind data, validated
      
      
        with surface measurements. Seasonal wind profiles
      
      
        showing spatial variation of wind speeds are developed
      
      
        using geospatial techniques. The discussion includes the
      
      
        scope for deploying small-scale wind applications
      
      
        suitable for meeting the local energy requirements.
      
      
        
          2
        
      
      
        
          Study areas
        
      
      
        
          2.1
        
      
      
        
          Landscape and climate
        
      
      
        Himachal Pradesh is located between 30.38°~33.21°
      
      
        North latitudes and 75.77°~79.07° East longitudes,
      
      
        covering a geographical area of 55 673 km
      
      
        2
      
      
        with 12
      
      
        districts (Government of Himachal Pradesh, 
      
      
      
        planning.nic.in/statistics&data.htm). It has a complex
      
      
        terrain with elevation ranging from ~300 to 6 700 m
      
      
        as shown by the Digital Elevation Model (DEM) in
      
      
        Figure 1. Topography, climate, soil and vegetation
      
      
        clearly define the agro-climatic zones in the state.
      
      
        Parts of Una, Bilaspur, Hamirpur, Kangra, Solan and
      
      
        Sirmaur districts lower than 1 000 m above mean sea
      
      
        level represent the tropical zone. Certain segments of
      
      
        Solan, Sirmaur, Mandi, Chamba and Shimla districts
      
      
        located between 1 000~3 500 m have climate conditions
      
      
        varying from sub-tropical to wet-temperate. Lahaul
      
      
        Spiti, Kullu, Kinnaur and some parts of Shimla
      
      
        districts ranging between 3 500~6 700 m are part of
      
      
        the high elevation dry temperate, sub-alpine and
      
      
        alpine zones with sparse vegetation and rainfall.
      
      
        
          2.2
        
      
      
        
          Energy and environment
        
      
      
        The hill state of Himachal Pradesh represents one of
      
      
        the rich biodiversity zones adversely impacted by
      
      
        unplanned development. Field investigations reveal
      
      
        substantially high energy requirement due to the colder
      
      
        climatic conditions, particularly in high elevation zone
      
      
        (
      
      
        >3 500 m). People are largely dependent on forests
      
      
        (
      
      
        fuelwood) for meeting their heating (room and water) and
      
      
        cooking demands, although vegetation cover is sparse in
      
      
        high elevation zone (Ramachandra et al., 2012). This has
      
      
        resulted in decline of vegetation cover, fragmentation of
      
      
        forests and associated ecological imbalance in an
      
      
        ecologically fragile region such as the Himalayas. In
      
      
        recent times, there has been increase in fossil-fuel based
      
      
        energy consumption, with resultant pollution and glacial
      
      
        melting (Aggarwal and Chandel, 2010). This necessitates
      
      
        exploration of clean renewable energy as decentralised
      
      
        sources. Even so, marginality and negligence of these
      
      
        mountain regions in the past have led to scarcity of reliable
      
      
        data which hinders efficient resource assessment and
      
      
        planning (Bhagat et al., 2006).
      
      
        Figure 1 Digital elevation model (DEM) of Himachal Pradesh
      
      
        
          3
        
      
      
        
          Data, models and methods
        
      
      
        
          3.1
        
      
      
        
          Surface wind measurements
        
      
      
        Long term wind characteristics in Himachal Pradesh
      
      
        were recorded at 13 meteorological stations (Figure 2)
      
      
        of the India Meteorological Department (IMD).
      
      
        Table 1 lists the IMD stations and periods of wind
      
      
        measurement exercises. Wind speed measurement
      
      
        heights varied from 1.7 m (Dalhousie), 5 m (Manali),
      
      
        7
      
      
        m (Dharmshala), 9.7 m (Bilaspur) to 26 m (Kyelong)
      
      
        and 26.5 m (Shimla).
      
      
        Out of 13, IMD provided surface wind data for 10
      
      
        stations (Bilaspur, Sundernagar, Nahan, Chamba,
      
      
        Bhuntar, Dharmshala, Dalhousie, Manali, Simla CPRI