----- Original Message ----- 
From: "Don Libby" <[EMAIL PROTECTED]>
Newsgroups: gmane.science.general.global-change
To: <[email protected]>
Sent: Saturday, April 07, 2007 1:17 PM
Subject: [Global Change: 1390] Re: Interesting DOE initiative

>
> ----- Original Message ----- 
> From: "Michael Tobis" <[EMAIL PROTECTED]>
> Newsgroups: gmane.science.general.global-change
> To: <[email protected]>
> Sent: Saturday, April 07, 2007 11:58 AM
> Subject: [Global Change: 1389] Interesting DOE initiative
>
>
>>
>> I am curious as to what the group's opinions might be on this project:
>>
>> http://www.science.doe.gov/ascr/Misc/Energy-ecology-security-initiative.pdf
>>
>
> A few flip remarks based on first impressions.  How does this differ from
> the popular computer game SimCity?

On a more serious note, what you have there is a research proposal that was 
obviously written by a committee who believed that by pooling three small 
loosely related ideas they may stand a better chance of getting at least one 
of them funded.  Taking into consideration their combination of skills and 
interests in crafting software for integrated energy resource planning, I 
would like to suggest a very practical need that this DOE research team 
might fulfill.

 I read through the Environmental Impact Statement for the Elm Road 
Generating Station yesterday, prompted by the comment by David Roberts in 
the "Oildrum" thread that conservation, efficiency, and distributed 
renewables are cheaper & better substitutes for coal than nuclear, which is 
essentially the position of the Sierra Club in the public comment section of 
the EIS.

The decision to certify a big new plant as a public necessity rests largely 
on a software package called the Electric Generation Expansion Analysis 
System (EGEAS), which is "a modular production-costing, generation-expansion 
software tool that is used to find least-cost generation system plans by 
comparing all combinations of multiple generation options to meet forecasted 
system load. EGEAS inputs include forecasted energy and demand, the 
characteristics of existing and possible new generation units, fuel price 
forecasts, known or expected energy purchase or sales, desired reserve 
margin, and the forecasted cost of emission allowances"

Among several scenarios modeled, an option that includes demand-side 
management (DSM - technospeak for "conservation and efficiency") appears to 
be least-cost, and interestingly, if no limit is placed on the amount of 
wind power production, the model chooses to add wind power and gas turbines 
to the grid out to 2014, with no new coal or nuclear plants.  A new nuclear 
plant in 2013 is chosen by the model if carbon is monetized and new nuclear 
plant construction is permitted under the law (aside: a Wisconsin 
Legislative Assembly committee last week voted to bring a bill to lift the 
ban on new plant construction to the floor in the next session).

Now to the point.  In the section of the EIS that discusses conservation, it 
was noted that several shortcomings of the analysis - including old, 
outdated measurements and technological assumptions - led to an 
underestimate of conservation and efficiency potential.  It was estimated 
that DSM during the 1990s reduced demand by the equivalent of 500MW (about 
the size of one big gas or coal-fired generating unit, or an AP600 nuclear 
plant).  The further potential for savings was estimated to be anywhere 
between 10MW to 470MW - but again, underestimated due to lack of accurate 
modeling assumptions.

So, here's something practical the DOE could put those computer scientists 
to work on, consistent with the emphasis on conservation and efficiency in 
the Joint Statement of the Academies:  update the database for conservation 
measurement and modeling, and update the EGEAS software to include 
conservation, efficiency and small-scale distributed generation.  More fun 
and more useful than SimCity, I'm sure, and perhaps more immediately useful 
than "encoding all known relevant physical laws with engineering practices, 
production, utilization, distribution and environmental factors".  If the 
good scientists can re-program the decision support tools currently being 
used to assess the necessity of big new coal plants, they may very well 
solve the global problem one plant at a time.

-dl 



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