Next Advisor for GreenM3 NPO, Peter Horan, pushing the edge of the network to be close to customers

Our first industry advisor was Mike Manos, our next is Peter Horan. Peter is unknown to most of the data center audience as he is an executive who has worked on the edge of innovation, not in the hub of data center activity.  Peter does have data center experience as the Sr. VP executive for InterActive Media at the time of ask.com's data center construction at Moses Lake, WA.  Chuck Geiger was CTO of ask.com at the time, and stated.

“Moses Lake is an ideal location due to its cooperative business environment, access to low cost, renewable power and superior network connectivity,” said Chuck Geiger, Chief Technology Officer of Ask.com. “With these inherent benefits, Eastern Washington is the right choice for Ask.com as we expand our computing infrastructure to support our growth and expanded search services.”

Peter has had the executive's view of building a large data center, yet he has some very innovative, forward thinking ideas and a powerful network.  Which brings up a presentation that Peter made discussing the "Edge of the Network."

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I've known Peter for many years, including his time as Sr. VP/Publisher of ComputerWorld, CEO of DEVX.com, about.com, allbusiness.com, and was an obvious candidate for the GreenM3 NPO.

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Here is a video where Peter presents the ideas to get closer to customers.  In the same way Peter encourages the audience to get close to customers, the goal of GreenM3 is to build a closer connection to customers, using open source techniques.

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A person who we want to talk to in Peter's network is Chuck Geiger.

Chuck Geiger
Partner - Technology

Chuck has significant experience running some of the largest online transaction product organizations and most visited sites in the world, including as CTO of Ask.com, CTO of PayPal, VP Architecture of eBay, and executive positions at InterActive Corp., Gateway and Travelocity.


At InterActive Corp, Chuck was responsible for managing a consolidated data center strategy for IAC portfolio companies including Ask.com, Evite.com, CitySearch.com, Ticketmaster, and Match.com. Chuck also was responsible for the technology organization at Ask.com including Engineering, Architecture, Program Management, QA, IT, and Operations.


At PayPal, Chuck was responsible for the product development organization which includes Product Management, Design, Engineering, Architecture, Operations, IT, QA, Project Management, Content, and Localization, running a team of approximately 550 professionals.
At eBay, Chuck was responsible for the migration to the new generation system architecture and platform.

BTW, Peter's day job is Chairman of Goodmail.

About Goodmail Systems

Goodmail Systems is the creator of CertifiedEmail™, the industry’s standard class of email. CertifiedEmail provides a safe and reliable means for consumers to easily identify authentic email messages from legitimate commercial and nonprofit email senders. Each CertifiedEmail is sent with a cryptographically secure token that assures authenticity and is marked in the inbox with a unique blue ribbon envelope icon, enabling consumers to visually distinguish email messages which are real and sent from email senders with whom they have a pre-existing relationship.

We welcome Peter's passion for technical innovation and the environment.

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Relationship of Electricity generation and Water, changes the game, 2 GW Entergy Nuclear Power Plant renewal permit denied based on warm water discharge

WSJ and others report on the New York environmental regulators, not the US EPA, denying Entergy's request for a 2 gigawatt Nuclear Power Plant renewal, supplying 30% of NYC's electricity.

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New York Regulators Deny Water Permit for Nuclear Plant

By MARK LONG

NEW YORK -- New York environmental regulators have denied a key water-quality certificationEntergy Corp. needs to extend by 20 years its license to operate the 2,000-megawatt Indian Point nuclear-power plant.

The New York Department of Environmental Conservation said in a letter to Entergy dated April 2 that the two units of the plant "do not and will not comply with existing New York State water quality standards," even with the addition of a new screening technology favored by Entergy to protect aquatic life. The plant's existing "once-through" system withdraws and returns as much as 2.5 billion gallons of Hudson River water a day for cooling, a system blamed by environmentalists for damaging the river's ecosystem and killing millions of fish a year, including the endangered shortnose sturgeon.

Certification under the Clean Water Act is required before the U.S. Nuclear Regulatory Commission can approve an extension of the operating license for Indian Point, which generates enough electricity to power approximately 2 million homes and is major power source for New York City. The licenses for Indian Point units 2 and 3, which came online in the 1970s, are due to expire in September 2013 and December 2015, respectively.

What is humorous is the environmental group Riverkeeper thinking that 2 gigawatt of baseload can be brought on line by 2015.

"That power is replaceable," said Alex Matthiessen, president of environmental group Riverkeeper. "The evidence for why the plant doesn't meet state water-quality standards is overwhelming," he said, adding Indian Point accounts for the deaths of about a billion fish a year and that the group estimates cooling towers could be constructed for $200 million to $300 million.

The following is a study published on air or hybrid cooling for power plants vs. water.

Emerging Issues and Needs

in Power Plant Cooling Systems

Water availability is affecting power plant placement.  You need to be thinking the same for data center placement.

However, with the construction of new power plants in recent years, perhaps the most prevalent concern with wet cooling systems has been water availability. Growing competition from municipal and agricultural users has decreased the amounts and increased the prices of good quality water resources available to industrial users. This competition is most apparent in the southwestern U.S. where the need for new electric power generation is significant, but regional surface water sources are minimal and groundwater sources are highly prized and may have designated use restrictions. But even in areas usually considered “water rich”, such as the northeastern U.S., the combination of environmental, safety & health, and resource availability concerns has resulted in an increasing interest in dry and hybrid cooling systems as alternatives to wet cooling systems.

Size of Dry Cooling system vs. Wet Cooling - 2.2 times larger

Size. By definition, dry cooling involves the transfer of heat to the atmosphere
without the evaporative loss of water (i.e., by sensible heat transfer only). Because sensible heat transfer is less efficient than evaporative heat transfer, dry cooling systems must be larger than wet cooling systems. For example, to achieve a comparable heat rejection, one study estimates that a direct dry cooling system (ACC) will have a footprint about 2.2 times larger than a wet cooling tower and a height about 1.9 times greater.2

Maintenance of operations.

• Maintenance. Both direct and indirect dry cooling systems, as well as hybrid cooling systems, are larger and mechanically more complex than corresponding wet cooling systems. In addition to the larger heat transfer surface area, dry and hybrid cooling systems will have more fans, meaning more electrical motors, gearboxes and drive shafts. As such, labor requirements for a large ACC can be substantial. At one site with a 60-cell ACC (three 20-cell bays for three separate steam turbines), the maintenance staff was increased by two people for such activities as cleaning fan
blades and heat exchanger tube fins, monitoring lube-oil systems, and leak checking the vacuum system.3
• Energy penalties. Because sensible heat transfer is directly related to the ambient dry-bulb temperature, a dry cooling system must have the flexibility to respond to typical daily temperatures variations of 20-25 °F. A dry system that maintains an optimum turbine backpressure at ambient dry-bulb temperatures of 90-95 °F, may not - 6 - be able to do so as the temperature increases, meaning a lower generating efficiency.


From a design perspective, more surface area (i.e., a larger dry cooling system) can compensate for the decline in heat transfer at high ambient temperatures; but the greater size and associated operational control are also concerns, as previously discussed.

When all  things are equal, it comes down to cost of systems.

Costs. If performance, availability and reliability appear to be equal, then the single issue that will most likely govern the selection and use of a power plant cooling system is cost. Unfortunately, the economics of power plant cooling systems are complex, which means cost estimates are frequently mistaken, misunderstood or misrepresented.
This complexity results from the complicated relationships of three key costs: installed equipment capital cost, annual operating and maintenance or O&M cost, and energy penalty cost. For most manufacturing processes, the first two costs can be fairly well defined and, to a certain extent, contractually guaranteed by the vendor/supplier. But the energy penalty cost is somewhat unique to power plant cooling systems because it reflects a direct performance link between the cooling system and the low-pressure
turbine-generator. Consequently, the potential for and the magnitude of an energy penalty cost can dictate cooling system design and operating changes that directly affect the capital and O&M costs. So in a competitive market, generating power in the most cost-effective manner depends upon a company’s ability to balance all three key costs and optimize the overall life-cycle cost of the cooling system.

What is the water footprint of the power plant supplying your data center?

Are you planning for water as a scarce resource affecting the cooling systems for your data center?

Here is what Google presented on water use at it's data center event a year ago.

Multiple Speakers Discuss Water Issues at Google’s Efficiency Data Center Summit

I have been blogging about water issues in the data center for a while, and have a category for tagging posts for “water.”

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Alternative to Google's hiring Renewable Energy Systems Modeling Engineer

I am spending more time researching the Low Carbon Data Center ideas and I ran across Google's job posting on Renewable Energy System Modeling Engineer.

The role: Renewable Energy System Modeling Engineer - Mountain View

RE<'C will require development of new utility-scale energy production systems. But design iteration times for large-scale physical systems are notoriously slow and expensive. You will use your expertise in computer simulation and modeling to accelerate the design iteration time for renewable energy systems. You will build software tools and models of optical, mechanical, electrical, and financial systems to allow the team to rapidly answer questions and explore the design-space of utility-scale energy systems. You will draw from your broad systems knowledge and your deep expertise in software-based simulation. You will choose the right modeling environment for each problem-from simple spreadsheets to time-based simulators to custom software models you create in high-level languages. The models you create will be important software projects unto themselves. You will follow Google's world-class software development methodologies as you create, test, and maintain these models. You will build rigorous testing frameworks to verify that your models produce correct results. You will collaborate with other engineers to frame the modeling problem and interpret the results.

It's great Google see the need for this person, but I was curious if anyone else has done Renewable Energy System Modeling.  Guess what there is, since 1993 in fact.  NREL has this page on Homer.

New Distribution Process for NREL's HOMER Model

Note! HOMER is now distributed and supported by HOMER Energy (www.homerenergy.com)

To meet the renewable energy industry’s system analysis and optimization needs , NREL started developing HOMER in 1993. Since then it has been downloaded free of charge by more than 30,000 individuals, corporations, NGOs, government agencies, and universities worldwide.

HOMER is a computer model that simplifies the task of evaluating design options for both off-grid and grid-connected power systems for remote, stand-alone, and distributed generation (DG) applications. HOMER's optimization and sensitivity analysis algorithms allow the user to evaluate the economic and technical feasibility of a large number of technology options and to account for uncertainty in technology costs, energy resource availability, and other variables. HOMER models both conventional and renewable energy technologies:

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I signed up for the Homer Energy site which has 510 users, non apparently Google engineers.

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I hope to make contact with the Homer Energy team as we are trying to have a session at DataCenterDynamics Seattle on a Low Carbon Data Center.

Maybe Google doesn't have to hire the Renewable Engineering System Modeling engineer after all.  :-)

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Google Goes Nuclear to increase its defense capabilities, April Fools

Today is Mar 31, but April 1, April Fool's is right around the corner.

Techcrunch has a post on Google's new nuclear acquisition.

Exclusive: Google To Go Nuclear

by Michael Arrington on Mar 31, 2010

Google has acquired a company that has created a new process for highly efficient isotope separation, we’ve confirmed from multiple sources. The primary use of this technology, say experts we’ve spoken with, is uranium enrichment.

Enriched uranium is a necessary ingredient in the creation of nuclear energy, and one source we’ve spoken with at Google says that this is part of the Google Green Initiative. The company will use the new technology to enable it to design and possibly build small, mobile and highly efficient nuclear power generators. “Google has already begun building an enrichment plant,” says a high ranking IAEA source.

The story continues implying that Google is developing capability for nuclear weapons.

And more chillingly: “It would be trivial for anyone with this technology to build a nuclear weapon.”

Google, which has been shaken by its inability to counter Chinese censorship and hacking efforts, may be engaging in enrichment research as part of a new effort to simply protect itself from outside threats.

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Long Now, Long View, Long Lived Data Center, a 10,000 year clock - a 10,000 year data center?

I am currently thinking of rules for the ontology in data center designs.  Translated, I am trying to figure out the principles, components, and relationships for the Open Source Data Center Initiative. 

This is a complex topic to try and explain, but I found an interesting project the Long Now started by a bunch of really smart people, Jeff Bezos, Esther Dyson, Mitch Kapor, Peter Schwartz, and Steward Brand.  Here is a video discussing the idea of a 10,000 year clock.

 

But, what I found interesting was their long term approach and transparency that we will be using in the Open Source Data Center Initiative.  And, now thinking a Long View is part of what we have as principles.

Here are the principles of the Long Now Clock that make a lot of sense to use data center design.


These are the principles that Danny Hillis used in the initial stages of designing a 10,000 Year Clock. We have found these are generally good principles for designing anything to last a long time.

Longevity

With occasional maintenance, the clock should reasonably be expected to display the correct time for the next 10,000 years.

Maintainability

The clock should be maintainable with bronze-age technology.

Transparency
It should be possible to determine operational principles of the clock by close inspection.
Evolvability
It should be possible to improve the clock with time.
Scalability
It should be possible to build working models of the clock from table-top to monumental size using the same design.

Some rules that follow from the design principles:

Longevity:
Go slow
Avoid sliding friction (gears)
Avoid ticking
Stay clean
Stay dry
Expect bad weather
Expect earthquakes
Expect non-malicious human interaction
Dont tempt thieves
Maintainability and transparency:
Use familiar materials
Allow inspection
Rehearse motions
Make it easy to build spare parts
Expect restarts
Include the manual
Scalability and Evolvabilty:
Make all parts similar size
Separate functions
Provide simple interfaces

Why think about a 10,000 year clock, because thinking about slowness teaches us things we don't have time when think only of speed.

Hurry Up and Wait

The Slow Issue > Jennifer Leonard on January 5, 2010 at 6:30 am PST

018-futurists-1

We asked some of the world’s most prominent futurists to explain why slowness might be as important to the future as speed.

Julian Bleecker
Julian Bleecker, a designer, technologist, and co-founder of the Near Future Laboratory, devises “design-to-think experiments” that focus on interactions away from conventional computer settings. “When sitting at a screen and keyboard, everything is tuned to be as fast as possible,” he says. “It’s about diminishing time to nothing.”
So he asks, “Can we make design where time is inescapable and not be brought to zero? Would it be interesting if time were stretched, or had weight?” To test this idea, Bleeker built a Slow Messaging Device, which automatically delayed electronic (as in, e-mail) messages. Especially meaningful messages took an especially long time to arrive.

Read more: http://www.good.is/post/hurry-up-and-wait#ixzz0jmOEcLg4

The biggest unknown problems in data centers are those things that we didn't think were going to happen in the future.  And, this leaves the door open to over-engineering, increasing cost, brittleness of systems, and delays.  Taking a Long View what will the future possibly look like can help you see things you normally wouldn't.

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