----- Original Message ----- 
From: "Michael Tobis" <[EMAIL PROTECTED]>
Newsgroups: gmane.science.general.global-change
To: <[email protected]>
Sent: Tuesday, May 29, 2007 9:27 AM
Subject: [Global Change: 1649] Re: Interesting DOE initiative


>
> I'm attending a meeting about this iniative this week and intend to
> distribute some ideas as grey literature in the hopes of influencing a
> scientific culture toward approaching global change from an
> engineering perspctive.
>
> My initial reaction to the DOE initiative was deep skepticism. If it's
> Sim Earth, it's certainly writ large. The target platform is computers
> 1000 times more powerful than any currently in existence.
>
> I have come around. I think that the systems engineering perspective
> can, with care, make effective use of such large resources. I am
> working on a broad brush explanation of how this might happen. I will
> nevertheless admit that it is much easier to use such vast resources
> ineffectively, and that the odds of that happening are substantial at
> the very least.
>
> Your idea seems entirely reasonable. I think the process by which
> procedures like a new EGEAS (note that this is the first I've heard of
> EGEAS) is developed in fact could benefit from very large
> computations, and with your permission I will quote you in trying to
> make  such a case.
>
> One perverse aspect of all this is that if we can't make a case for
> this as a very largeh scale supercomputing application, (and I admit
> that my argument that it can will be outside scope of conventional
> wisdom) it will be difficult to arouse interest within this program,
> and if it isn't "Big Science" in one form or another, it's hard to see
> it emerging from today's DOE at all.
>
> mt

Quote at will.  The EGEAS is a product of EPRI , and operating it is 
apparently a service of EPRI: 
http://www.epriweb.com/public/ES-TRANS-IRP-SO.pdf  .  Developed in the 
1980's, I'm guessing it could run on a serial processor micro or mini 
computer - so much for the "wow" factor.  Supercomputing power might help to 
model transmission network upgrades and how they interact with or constrain 
generation portfolios.  Caveat emptor: my electrical engineering credentials 
are strictly amateur.

-dl 



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