Modeling As A Tool For The Indian Railways - Presentation Transcript
Modeling as a tool for the Indian Railways -TERI April 8-9, 2005
About TERI
The development-energy-sustainability nexus
Energy-economy linkage
Drivers of energy demand
Population (total, rural/urban distribution)
Overall/ sectoral GDP
Per capita energy consumption
India: ~400 kgoe/capita; US: >8000 kgoe/capita
Energ y intensity: final energy consumption per unit of GDP
Energy intensity curve kgoe
TRANSPORT SECTOR -OVERVIEW
Trends in energy use
Industry & transport sector energy requirements – main concern areas
Impact on petroleum imports & power requirements
Passenger and freight movement projections (BAU)
Modal Split in the Transport Sector
Concerns in the sector
Crude import dependence would increase to 94% by 2030 - IEA projections
Transport sector 2 nd largest consumer of commercial energy
Largest consuming sector of oil products
Limited scope to move to alternative fuels
Inefficient energy trajectory for the transport sector
Increasing GHG & local pollutants
Towards a sustainable transport sector
Share of Railways should be increased as far as possible
Share of public transport to be increased
Efficiency of all transportation options should increase
Emission loading must reduce
Transport sector issues
National Transport Policy Committee Recommendation
72% freight & 60% passenger traffic movement recommended by rail
Consumers preference for door-to-door movement
Railways – larger social welfare dimension
Cross-subsidization
Need for investments on loss making routes
Scope for freight modifications/ routings need to be judiciously analysed & modified
Way forward for IR
Increase rail based movement as far as possible
Increase turnaround of wagons / improve utilization of dedicated wagons
Examine scope for freight rationalization
Enhance interconnectivity & multi-modalism
Improving rail technology and capacity augmentation
TERI’S activities in the modeling & transport areas
TERI’s experience in modeling
Models
Demand forecasting (EViews)
Accounting Frameworks (LEAP)
Optimisation softwares (MARKAL, GAMS LP models)
Analytical tools/data analysis
Some recent projects
Modeling projects
CIL Study of Coal in Indian Energy Scene
Asia Least Cost Greenhouse Gas Abatement Study (ALGAS)
National Energy Map – Vision 2020 (using MARKAL)
Transport sector studies
S tudy on the Potential for Sustainable Tourism Development in the Darjeeling Hill Area
Transportation Economics and Environmental Issues that influence product strategy (TELCO)
Urban transport, Energy and Environment – A case of Delhi
An Indo-British Partnership: Sustainable Transport in Large Indian Cities
COLPLAN – A Coal Transportation model
Objectives of COLPLAN
Examine the use of available coal (indigenous and imported) at the existing power plants under the BAU case
Assess the competitiveness of coal from various sources (imported vs domestic coal) at each of the locations
Analyze the existing linkages to see if these are most optimal (least cost for the energy system) and examine possibilities of alternative linkages by developing alternative scenarios
Structure of COL PLAN model
Features of t he Coal Transportation model
GAMS (Generalized Algebraic Modeling Systems) based static LP model
Optimizes system cost for coal utilization by the Indian power sector
Module added to study ash utilization by Indian cement sector
Scenarios
BAU
Free linkage
Free run
Restricted Linkages & grade slippage
Non-optimality of linkages
The model indicated significant reduction in the freight component through alternative linkages
CIL to re-examine the viability of the current linkages
Capacity release for IR -> gains through moving other commodities
Results (cont.)
CIL to direct more investment to the Western sector coalfields, Singrauli and Sohagpur coalfields
Overall benefits to the economy with improvement in quality of supplies
Gains to CIL with move to superior grades of coal
Consumers would benefit by savings in coal movement
Quality improvements essential for CIL to guard against the loss of its markets to imported coal
Some results from the ash module
Objective
Hypothesis : Fly ash can be used effectively to:
reduce environmental damage
provide economic benefits to its users especially cement producers
Examine whether flyash should be charged, subsidized or continue being provided free of cost
At what delivered cost of ash would it still be economical to produce PPC (based only on cost of coal displaced)
Data & Assumptions
All data & assumptions for 2001/02
Demand centres: Individual power plants & 9 cement plant clusters
Linkages as per SLC (Short term)
Actual production PPC : OPC :: 65% : 35%
Average delivered cost of ash: Rs 600/ton
Coal imports max 20 MT
Economic benefits with higher PPC production: model results
Shifts towards PPC production lead to reduction in overall system costs
With no constraints on OPC/PPC production, model shifts all production to PPC
With new cement capacity to be created (30 MT), PPC remains the only choice for all the new capacity
Additionally environmental benefits due to decrease in CO 2 emissions
Monetary benefits in system costs
Scope for negotiation of ash prices With judicious pricing both power & cement plants can be gainers
Preference towards superior grades of coal
Reduction in coal requirement results in adjustments of coal off-take
B-D grades increase
E-G grades decrease
A grade always utilized
domestic coal industry needs to review its coal production & pricing policies directed towards enhancing supplies of better quality coal as this would lead to overall system benefits
PPC production – a “win-win-win” option
If priced right, all parties could benefit
Power plants – cost saving on ash handling & disposal
Cement plants – save on account of cost of coal displaced and limestone saved
Environment – reducing air pollution due to particulates and one tonne of clinker saved is one tonne of CO 2 saved
Thought…… Is it worthwhile for the Railways to consider using the dedicated coal wagons for moving back ash from the power plants to cement plants on the way?
Thought……. Can freight rates be modified to make Railways more competitive for some core commodities along major O-Ds?
Scope for Collaborative Projects
Possible areas for co-operation
Demand forecasting – to plan for infrastructure requirements in the future
Freight rationalization studies - to capture markets which Railways may be losing
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