Opportunities and challenges for renewable energy policy in India
Impact of current policies on future air quality and health outcomes in delhi, india
1. Impact of current policies on
future air quality and health
outcomes in Delhi, India
Hem Dholakiaa, Pallav Purohitb,
Shilpa Raob and Amit Garga
aIndian Institute of Management (IIM), Ahmedabad, India
bInternational Institute of Applied Systems Analysis (IIASA), Austria
European Geosciences Union
General Assembly 2013
Vienna | Austria | 08 April 2013
2. Introduction
• Curbing high PM2.5 concentrations and associated
health impacts – key challenge in Indian cities
– 27 of top 100 most polluted cities are in India (WHO,
2011)
– About 627,000 annual deaths due to outdoor air
pollution in India (Lim et al. 2012)
• National capital region of Delhi – among most
polluted megacities
– We evaluate the current policy portfolio and compare
against alternative policy scenarios
3. PM-2.5 concentrations in select Indian cities
200
180
160
140
µg/m3
191.0
120
100
80 115.3
83.8
60
NAAQS
40 48.3 40.6
30.7
20 WHO
0
Mumbai Delhi Bangalore Chennai Pune Kanpur
Source: CPCB (2010)
4. Research Questions
• Are current city level polices in Delhi adequate to
achieve the National Ambient Air Quality Standards
(NAAQS) in the future?
• What are the future health impacts of these policies
in Delhi?
• Can implementing advanced control technologies
or 450 scenario help achieve NAAQS? What are
the health benefits accrued thereof?
5. Methods
• We adopted the IEA/WEO (2011) energy scenario for India
– GDP growth at 6.4% from 2008 to 2035
– Population (1.1 to 1.5 billion in 2035)
– Coal contributes 53% of primary energy in India
• Emissions and future concentrations of fine particulate matter were estimated
using the GAINS model
• All-cause mortality using the population attributable fraction (PAF) approach
– Risk rate of 1.06 used with sensitivity analyses for alternate rates (low = 1.02
& high =1.11) from Pope et al. (2002)
– Relation between dosage and health response assumed to be linear at high
concentrations
– Theoretical minimum exposure of PM-2.5 -10 µg/m3
6. Greenhouse gases and Air pollution Interactions and Synergies (GAINS):
A model to harvest synergies by integrating multiple pollutants and their multiple effects
Emissions and control measures
Emissions and control measures
for air pollutants and greenhouse gases
for air pollutants
PM HFCs
PM
BC SO2 NO VOC NH CO2 CH4 N2O PFCs
BC SO2 NOx x VOC NH3 3
OC SF6
OC
Health impacts:
Health impacts:
from fromparticulate matter
fine fine particulate matter ( )
from from ground-level ozone
ground-level ozone ( )
Vegetation damage:
Vegetation damage:
Ozone (agricultural crops) ( )
Impacts
Ozone (agricultural crops)
Impacts
Acidification (forests, water)
Acidification (forests, water)
Eutrophication (biodiversity)
Eutrophication (biodiversity)
Radiative forcing:
- from direct greenhouse gases
- via aerosols and ozone ( ) ( ) ( ) ( ) ( ) ( )
7. GAINS India:
23 regions
Delhi
16 m
2.4 m
0.6 m
1.5 m
1.4 m
8. Policy scenarios
Sector City specific policies Advanced Control 450 Scenario* Reference
technologies*
Transport Stage II control measures in buses Stage III controls in Higher reliance on clean MoPNG
and trucks buses and trucks fuels bringing down PM2.5 (2003)
Stage II control measures in two and Stage III controls in two emissions by 20% in 2030
three wheelers and three wheelers
Introduction of Euro IV standards in Introduction of Euro V
Indian megacities from 2010 and Euro VI standards
from 2015
Shifting of public transport buses Same as city specific Bell et al.
from diesel to CNG in Delhi policies (2004)
Power plants Shift of all power plants from coal to Same as city specific High reliance on gas based CPCB
natural gas policies power plants and (2010);
Use of High efficiency ESP Use of High efficiency de- renewables bringing down SoE-Delhi
technology in large coal based power dusters in coal based PM2.5 emissions by 60% in (2010)
plants (where applicable) power plants where 2030
applicable
Industry Closing down/ moving highly polluting Same as city specific No significant change in CPCB
industries outside city limits policies industrial PM2.5 emissions (2010)
Waste Ban on open residential burning of Same as city specific No significant change in MoEF
garbage and plastics policies waste sector PM2.5 (2010)
9. PM-2.5 emissions by aggregated sector for Delhi
20
18
16
14
kt PM 2.5 emissions
12
10
8
6
4
2
0
CSP 450 ACT CSP 450 ACT
2010 2020 2030
Power generation Domestic Industry Transport Agriculture Other
10. Estimated PM-2.5 concentrations for Delhi
under different scenarios
120
2010 Baseline
100 Δ 13%
Δ 18%
Δ 25%
Δ 27%
80
µg/m3
60
Δ 63% Δ 61%
40 NAAQS
20
WHO
0
2020 2030
CSP ACT 450 Scenario
11. Estimates of all – cause mortality in population >30 years
in 2030 attributable to outdoor air pollution in Delhi
35000
30000
25000
Number of deaths
20000
Low
Central
15000
High
10000
5000
0
CSP ACT 450 Scenario
12. Policy insights
• Current policy legislation in Indian cities of Delhi will not
bring particulate matter concentrations down to National
Ambient Air Quality Standards by 2030
• Application of advanced control technologies currently
available in the market could substantially reduce air
pollution impacts in Delhi
– Substantial economic resources may be required
• Contribution of trans-boundary air pollution in Delhi may
not be insignificant and needs stringent policy control
measures
13. Suggested policy portfolio
Sector Policies Measures Implementation strategies Key institutions*
Power sector Efficiency improvements Emission targets, emission Smart grid connections; reduced MoEF, CERC, EM
standards distribution losses; strict control on C
diesel generator sets
Fuel switch Taxation mechanisms Technology transfer; Infrastructure MoEF, MNRE
development for renewable energy
Transport Efficiency improvements Emission standards Leapfrog to Euro VI standards MoPNG,
Technology push Subsidy mechanisms Penetration of electric & hybrid vehicles MoEF
Process improvements Awareness, education Traffic light synchronization, road dust MoRTH
management systems, improved public
transport
Industry Process improvements & Standards, tax, awareness Strict monitoring and correction; Regulatory
recycling adoption of vertical shaft brick kilns bodies, industry
Raw material improvements & Industry standards Industry leadership, supply chain associations
switch management
Trans- Efficiency & Process Emission targets, emission Enhancing metro connectivity, ban on MoEF, Delhi,
boundary improvements standards, awareness open combustion and burning of crop Haryana & Uttar
effects residue Pradesh state
governments
15. Component wise break-up of PM2.5 concentrations
in Delhi (µg/m3) in 2010
Urban adjustment Constant k
3.2% 5.1%
Sea salt
Dust 1.1%
8.9%
Secondary PM2.5
32.1%
Primary PM2.5
49.5%
Hinweis der Redaktion
For PM-2.5 in Delhi, the annual average is approximately 3 times higher than the NAAQS (40 µg/m3) and more than 11 times higher than the guidelines stipulated by WHO (10 µg/m3).
It may be of interest to assess the impact of current policies on future air quality and health in Delhi. 450 scenario - A scenario presented in the World Energy Outlook, which sets out an energy pathway consistent with the goal of limiting the global increase in temperature to 2°C by limiting concentration of greenhouse gases in the atmosphere to around 450 parts per million of CO2.
Coal remains the main source of electricity generation, although its share declines from around 70% in 2009 to 53% in 2035.
Air quality is estimated in 1 degree by 1 degree spatial resolution based on source-receptor relationships derived from Transport Model, Version 5 (TM5) atmospheric chemistry and transport model.
City specific policies incorporate current legislation across different sectors – transport, industry, power sector and waste management – in Delhi
There is a decrease in concentrations under all the three scenarios in 2030 as compared to 2010 values. The maximum reductions of about 60% are observed when ACTs are adopted. However even this reduction is not enough to meet the NAAQS. Climate mitigation policies have a modest impact contributing to about 20% reduction in future PM2.5 concentrations. Under the city specific policies scenario, there is a 20% increase in concentrations from 2020 to 2030. This increase can be explained in part by the increased emissions from the road and non-road mobile transport sectors. A key implication of this is that the city level policies currently in place are unlikely to reduce PM2.5 concentrations in Delhi to the NAAQ standards in future.
It may be noted that the central estimate for number of excess deaths attributable to outdoor air pollution in Delhi in 2030 is over 22000 if current city specific policies continue. These deaths can be reduced by half if advanced control technologies are adopted. Health gains as a result of adopting climate mitigation policies are relatively small given the modest impact on air quality. This analysis makes it apparent that air pollution is likely to have a large impact on health outcomes in Indian cities if further stringent control actions are not taken.
The contribution of trans-boundary air pollution in Delhi is significant. For e.g., The contributions to PM2.5 emissions (both primary and secondary) at Delhi receptor grid from Uttar Pradesh and Haryana source regions is significant.
There may be multiple approaches towards achieving the NAAQS such as switching to renewables in transport and power sectors. For e.g., in the transport sector some interventions could include provision of subsidies for use of electric vehicles; leapfrogging from Euro IV to Euro VI standards or higher as well as levy of congestion charges in traffic hotspots.
The contributions to PM2.5 at Delhi receptor grid from each of the source regions considered in the GAINS model is shown here. Moreover, this contribution is split into the primary and secondary components. The constant term k can be thought of as representing the contributions from outside (the GAINS India area), dust and seasalt - these three being independent of the emissions scenario in GAINS - and finally the estimated urban adjustment. The contributions to PM2.5 emissions (both primary and secondary) at Delhi receptor grid from Uttar Pradesh and Haryana source regions is more than 50%.