energy efficiency in urban areas
DESCRIPTION
Energy Efficiency in Urban Areas. Monali Ranade Carbon Finance Unit May 27, 2008. GHG Emission Reduction Scenarios Energy Efficiency is the Lowest Cost Mitigation Option…. IPCC 2030 Scenario. IEA 2050 Scenario. Source: IPCC 4th Assessment Report- WG.III, 2007. - PowerPoint PPT PresentationTRANSCRIPT
Energy Efficiency in Urban Areas
Monali RanadeCarbon Finance Unit
May 27, 2008
GHG Emission Reduction ScenariosEnergy Efficiency is the Lowest Cost
Mitigation Option…
Improved end use (demand side) energy efficiency most important contributor to reduced emissions
Other renewables
Biomass
Fossil fuel generation efficiency
Nuclear
Coal to gas
Hydropower
CCSPower
generation
End-useefficiency
Biofuels in transport
CCS in fuel transformation
CCS in industry
Fuel mix in buildings and industry
Source: IEA Energy Technology Perspectives 2006
IEA 2050 Scenario
IPCC 2030 Scenario
Source: IPCC 4th Assessment Report- WG.III, 2007
Some of the highest GHG reduction potential is in EE sectors are in the form of dispersed smaller measures (transport, buildings, industry)
Challenges for end use EE in CDMR
ED
/UN
IT
# OF UNITS
Long tail: large number of small end-use units owned by many ownersFe
w la
rge
units
Barriers to end-use EE:• Lack of enabling
policies • Lack of information
Financing Issues • Split incentives• More complex
design.
Source: World Bank (2007)
Interventions in Energy Sector CDM methodology
Street-lighting AMS II.CWater pumping AMS II.C, AM0020Buildings envelope, heating and cooling AMS II.E, AMS III.A. E.Electrical equipment (lighting, refrigeration, etc) AMS II.C
AM0048New District heating networks AM0044Efficiency improvement in district heating AM0058
Solar water heating AMS I.C
Solar lighting (streets or households) AMS I.A
Heat pumps for heating and cooling AM0072AMS I.C
Cook-stoves(solar, energy efficiency, renewable biomass)
AMS I.C., AMS II.C., AMS II.G
Project Example: Street-lightingKey data requirements• Identification of streets covered under the project• Detailed information on baseline light fittings: Number, type, wattage,
lumen• Mode and hours of operation of the street-lights• Manufacturer data on new light fittings: Number, type, wattage, lumen• Sample metering of light switching points to monitor hours of operation• Sample random survey of lights
Project Example: Water pumpingKey data requirements• Identification of pumping stations• Detailed information on baseline and new pumping systems:
Number, type, wattage, head, output• Mode and hours of operation• Metering of hours of operation, electricity consumption and water
outputProject Boundary
kWh Meter
Suggested Pump replacement
P 1
P 3
1200 mm dia rising main to IPS-2
P 2
m3
Project Example: Cook-stovesOptions:Thermal efficiency improvement only: AMS II.CRenewable biomass + thermal efficiency improvement: AMS II.GSolar energy + thermal efficiency improvement: AMS I.C
Key data requirements (common for all options)• Identification of geographical area and the baseline technology• Detailed information on baseline energy source (e.g., source of biomass)• Thermal efficiency of the baseline and project technology • Hours of use or quantity cooked• Sample tests and measurement of new technology
Thank You!
http://carbonfinance.org([email protected])