http://www.bizjournals.com/triad/stories/2008/11/03/daily21.htmlTuesday, November 4, 2008
Duke doubles cost estimate for nuclear plant
Duke Energy Carolinas has raised the expected construction costs of its proposed Lee Nuclear Station to $11 billion, excluding financing costs. That’s roughly twice the company’s original estimates.
Based on the financing costs for Duke’s new coal-powered unit at Cliffside Steam Station, financing expenses would increase the nuclear plant’s price to more than $14 billion.
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The cost estimates for Duke’s proposed nuclear plant in Gaffney, S.C., have proved controversial. Three years ago, Duke gave an estimate of $4 billion to $6 billion for the two 1,117-megawatt reactors it proposed to build. Duke had not updated those figures until now. Opponents of the project have noted that nearly identical plants proposed in Florida will cost as much as $17.8 billion.
The Lee plant is slated for completion in 2018. But Duke’s new estimates for the project are not adjusted for future inflation. Company spokeswoman Paige Sheehan says Duke did not attempt to calculate how much the final costs would be, with inflation factored in. She says there are too many uncertainties to calculate a firm number. The company chose to release its new estimate based on the current costs.
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http://www.bizjournals.com/triad/stories/2008/11/03/daily21.htmlDuke Energy Carolinas puts cost of two new nuke units at $11 bil
Boston (Platts)--4Nov2008
Duke Energy Carolinas, which has proposed building two, 1,100-MW nuclear
reactors in South Carolina, has told regulators it believes the unit will cost
$11 billion in 2008 dollars, excluding escalation or financing costs.
The estimate was contained in an integrated resource plan the utility
filed with North and South Carolina regulators late Monday.
The estimate, which is the first released by Duke, puts the so-called
"overnight" capital cost of the two units at $5,000/kW of installed capacity.
Duke spokeswoman Paige Sheehan said the utility decided against including
financing or escalation costs in its estimate because doing so would result in
a much wide range of estimated costs.
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