Solar Geysers – a CDM perspective TATA BP Solar case study.

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Solar Geysers – a CDM perspective TATA BP Solar case study

Transcript of Solar Geysers – a CDM perspective TATA BP Solar case study.

Page 1: Solar Geysers – a CDM perspective TATA BP Solar case study.

Solar Geysers – a CDM perspective

TATA BP Solar case study

Page 2: Solar Geysers – a CDM perspective TATA BP Solar case study.

The Facts It is estimated that nearly 5 Lakh homes

in Bangalore city alone consume 3 million units of power every day

between 6 AM & 9AM for water heating alone.

32.8 Million MW of solar energy strikes Indian landscape every second

Page 3: Solar Geysers – a CDM perspective TATA BP Solar case study.

Solar Water Heaters

Page 4: Solar Geysers – a CDM perspective TATA BP Solar case study.

Solar Water Heaters

Page 5: Solar Geysers – a CDM perspective TATA BP Solar case study.

Solar Water Heaters

Page 6: Solar Geysers – a CDM perspective TATA BP Solar case study.

Schematic – Two tank system

Page 7: Solar Geysers – a CDM perspective TATA BP Solar case study.

The panel

Page 8: Solar Geysers – a CDM perspective TATA BP Solar case study.

Performance of SWH Weather and Seasonal Changes in

the Sun Path Collector Orientation for optimal

performance – year round Maintenance (Scaling,

Transparency etc.)

Page 9: Solar Geysers – a CDM perspective TATA BP Solar case study.

Solar- Path

Page 10: Solar Geysers – a CDM perspective TATA BP Solar case study.

Sectors Industrial Hospitals Domestic Sector Hotels Hostels

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SWH Global Scenario China 4,000,000 India 2,000,000 Japan 1,000,000 Europe 890,000 South Korea 500,000 Turkey 430,000 Israel 400,000 USA 25,000

In square meters of collectors installed

Page 12: Solar Geysers – a CDM perspective TATA BP Solar case study.

Indian Scenario

Potential Solar Water heaters

140

0.550

20

40

60

80

100

120

140

160

Potential Installed Mil

lio

n s

qu

are

me

ters

of

co

lle

cto

r a

rea

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GHG emission reduction An effective DSM tool

1000 Domestic water heaters shaves about 1 MW of peak load

Most of peak power is fossil fuel based Replaces electrical counterpart (at least

partially)

Page 14: Solar Geysers – a CDM perspective TATA BP Solar case study.

TATA BP Solar India Limited

A case study

Page 15: Solar Geysers – a CDM perspective TATA BP Solar case study.

The Company Leading solar equipment

manufacturer in India Sales turnover 1900 Million during

2001

Page 16: Solar Geysers – a CDM perspective TATA BP Solar case study.

Sales Record

0

1000

2000

3000

4000

Year

Nu

mb

er

of

un

its

100 LPD 200 LPD 300 LPD

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Solar Geysers In different sizes 100 – 10,000 LPD Applications

Bathing Medicinal bathing Boiler feed Process heating Pool heating , washing , cooking

Page 18: Solar Geysers – a CDM perspective TATA BP Solar case study.

CDM- Assumptions Solar geysers will replace electrical

counterparts Current market growth will sustain for 3

years and later at 10% annum Major policy changes NOT expected

(espl. In –ve direction) Reduced selling price on geyser will

enhance the market adoption rate KP Ratification & Enforcement

Page 19: Solar Geysers – a CDM perspective TATA BP Solar case study.

Additionality Investment Barrier YES Technology Barrier not

obvious Prevailing practice YES Market adoption rate YES

Page 20: Solar Geysers – a CDM perspective TATA BP Solar case study.

Baseline methodology I.C 12b SSC-PDD Different Baseline & M&V for domestic

and Commercial & Industrial systems Domestic Systems

To be bundled to reduce m&V costs Weighed average emission of the peak

load generation mix (meth to be recommended)

Page 21: Solar Geysers – a CDM perspective TATA BP Solar case study.

Baseline methodology contd.. Industrial Systems

Displaces Diesel generated electricity than grid electricity – generation mix at the grid level is unfair

Commercial Systems Bundling is necessary Current generation mix of the grid

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Monitoring & Verification Recording annually No. of systems

Operating Estimating the annual hrs. of

operation

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Unresolved Uncertainties of base line

Change in usage pattern of hot water Climatic condition (monsoon, depression etc) Solar intensity on ground (reduced 10% in

last few decade) Asian brown haze ?

Maintenance = Performance Can be substantiated by buffer

calculations (meth recommendation ?) Annual targets are difficult to meet