They have the data., if you have better data do quote that. Not unicorn statements from a consultancy group. Which is similar to below:
Nuclear is expensiver then PV.
How?
You then post an image that compares nuclear to coal and then gas and that too in different countries and
for a single year with different agencies (house of lords from UK and MIT from US for example!) and for different years., the picture does not convey any information other than - nuclear is costly than coal and gas in the year 2004 (or whichever year when the study was made).
And then you proceed to make this profound and grand statement:
Rishirishi wrote:When PV is reaching coal level in India, it must be a better option then Nuclear.
The above statements are in the same bucket as following:
1. When pigs are reaching for wings, it must be a better option for them to fly
2. When Bakis are reaching for brains, it must be a better option for them to be a peaceful nation.
3. If my aunt had a mustache, it must be a better option then to call her uncle.
Please do not make such unicorn, airy-fairy statement. And then go and make a selective quote.
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So coming back to your own link., from wikipedia (since NEI's data is now biased in your view - yeah they are a nuclear lobby, but they do have data stretching back for decades,
so let us junk all that data of past and use a forecast for the future 30 years as basis ...)., let us take the EIA's forecasts itself (on which the wiki is based) and its report for 2015 for a forecast into 2020:
Projected LCOE in the U.S. by 2020 (as of 2015)
Power generating technology Minimum Average Maximum
Advanced Nuclear 91.8 95.2 101
Solar PV 97.8 125.3 193.3
Solar Thermal 174.4 239.7 382.5
Take the average., for utility scale - Solar PV is coming out 30% costly.
Okay that is your own estimates from your own wiki and AEI forecasts (AEI projects into future what is called 'Levelized Cost of Energy' or LCOE).
from the same wiki., let us take this future estimates from California Energy commission :
Type Year 2013 (Nominal $$) ($/MWh) Year 2024( Nominal $$) ($/MWh)
Name Merchant IOU POU Merchant IOU POU
Solar Photovoltaic (Thin Film) 100MW 111.07 170.00 121.30
Solar Photovoltaic (Single-Axis) 100MW 109.00 165.22 116.57 98.49 146.20 105.56
Solar Photovoltaic (Thin Film) 20MW 121.31 186.51 132.42 93.11 138.54 101.99
Solar Photovoltaic (Single-Axis) 20MW 117.74 179.16 125.86 108.81 162.68 116.56
Now if you notice one thing., the Solar PV (Solar thermal is a different beast., that is a technology which I have been following since 1980s
)., the solar PV does not exceed 100 MW. It does *NOT* mention nuclear., since it is comparing grapes to water melons.
There is a reason for that., when it comes to small size - like 20 MW here and 30 MW there - anything other than nuclear will be efficient.
However beyond a certain scale., coal, gas and nuclear become viable. And on humongous scale with concomitant reduction in GHGs (or rather efficiencies) the advanced nuclear is the ONLY viable option.
This is because of scaling. You cannot pile a stack of PVs and expect a rise in output., you have to have newer and more advanced chips that are efficient in converting light to electricity. There is a upper limit for that at a given cost and production volume (note solyndra went down not because their idea was wrong, but they could not curve their chips at a large capacity at a reasonable cost)
A nuclear pile does not suffer from that. A nuclear pile can be scaled, the capital expenditure to add another nuclear pile into the mix is negligible. Take a look at KNPP-3/4 in the works.
Yes., Solar PVs will help for small rooftops, individual use - for distributed utility to the scale of 100/200 MWs - but can never scale to the base load requirements. It can only be met by Nuclear (or Gas/Coal if you are not worried about GHGs).
And yes., nuclear is cleaner than PV. (:eek: when did that happen).
What should India do? India should be and must be pragmatic. Build rooftop solar, use coal efficiently (check the latest from Nitin Gadkari) and build nuclear power stations as if there is no tomorrow.
PS: Edited to clarify the issue with 'data' and 'forecasts'. LCOE etc are good forecasts., but they make assumptions on several factors and variables - and without a complete understanding of those factors and variables that go into making a forecast, comparing those estimates IMHO is a good basis but pales in comparison to the actual data compiled over years.