GIS database management for planning of Hydel Power Generation

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GIS database management for planning of Hydel
Power Generation

• Ashok Kumar Sinha
• Professor of Instrumentation and Control Engg.
• And
• Surekha Dudhani
• Assistant Professor of Electrical Engg.
• Bharati Vidyapeeths College of Engineering
• A-4, Paschim Vihar, New Delhi-63

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Hydel Power

• Renewable, non-radioactive non-polluting source
  of Energy
• Reliable high available Energy Source
• Low cost of generation, operation maintenance
• Inherent ability for quick starting, stopping
  instantaneous load acceptance/ rejection
• Best choice for meeting peak load

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Rise Decline of Hydro share in India
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Constraint for slow down of the Hydro development

• Technical Difficult inadequate investigation
• Financial Large scale time over run
• Heavy escalation
  Inadequacy of fund allotment
• Geological surprises
• Tariff related issues
• Delay in land acquisition
• Resettlement of project affected families

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Development of GIS in Knowledge-Base environment

• Remote Sensing Image Processing
• GIS database
• Knowledge based expert system

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Remote Sensing Image Processing

• Remote sensing refers to practice of
  interpretation manipulation of data about the
  earths surface (or near to surface) collected
  from satellite platforms above the Earths
  atmosphere
• Satellite data so collected has wide range of
  applications. Land use Land cover mapping is
  one of them.
• Remote sensing analysis of the land cover of
  commonwealth can give correct information about
  the quantity, quality spatial distribution of
  the natural resources.

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Remote sensing Image Processing

• Collected satellite data are used in many forms
  format to extract useful information using
  digital or manual techniques.
• Infrared False Color Composite (FCC) images are
  one of the most widely used data format for
  information extraction.
• Most of the conventional digital Image Processing
  techniques are based on features like pattern,
  color, shape, size, shadow, texture and tonal
  variation of each pixel in the image

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GIS data-base
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Knowledge based Expert system
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Proposed Methodology GIS data base management
for Hydro Power generation

• Source identification
• Site selection
• Environmental planning
• Digital Terrain Model (DTM) data
• Transmission line network
• Ranking of the site

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Source Identification

• Remote sensing technology is an effective tool
  for Identification of Hydel source especially in
  the inaccessible area like Himalayas
• Land water features can be discernable
• Most of the meteorological data, aerial
  climatographical data are obtained interpreted
  with the help of GIS in knowledge base
  environment.

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Site Selection

• Study of Geological lithologies, water drainage
  pattern, surface subsurface structure
• The geological Structural configuration to
  understand strength weakness of the area
• Satellite imaginary for identification of
  Catchment boundary, drainage network, peripheral
  stresses, land use ,forestation vegetation
  cover
• xxxxxxx

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Environmental Planning

• Catchment area treatment
• Aforestation
• Rehabilitation resettlement
• Fisheries potential
• Recreation tourism potential

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Digital Terrain Model (DTM)

• Computation of slope
• Channel length
• Catchment area
• Head available for power generation
• Location of sites for civil structure

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Transmission Line Network

• Alternative shortest route from the generating
  station to load centre
• Topological geographical nature of the terrains
• Physical constrains ( railway crossing, road
  crossing, expansion of villages towns, etc.)
• Environmental factors ( reserved forests high
  tree areas, national parks wild life
  sanctuaries etc.)
• Soil condition
• costing

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Ranking of Sites

• CEA has undertaken Ranking study to have a shelf
  of prioritized schemes for further investigation
  implementation of hydro sites considering
  technical non-technical criteria
• Detailed Ranking study is carried out considering
  submergence, land use aspects, broad geological
  economic considerations
• Image analysis of satellite data creating
  spatial geo-reference information of terrain ,
  using GIS tools provide basis to address
  review the indices in the Ranking study faster
  than the traditional method

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Tools

• Hydra-HP
• DHI
• ERDAS Imagine
• E-Tap
• MIKE BASIN
• ROLTAS
• ARC view 3.x., ARC view 3d Analysis
• ORACLE

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