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Subject: RE: Introduction: The Demand Side


In the spirit of helping bring people up to speed, let me drill down a little more and add the following comments concerning the type of activities that people perform on the demand side so we can get a better understanding of what may be affected by more intelligent/sophisticated interactions with the grid.
 
The most obvious activity is that people buy power from the grid and consume it.  With the advent of distributed generation there is also the possiblity for people to generate (or possibly store) their own electicity and sell it back on to the grid.  These general activities seem pretty obvious so let me drill down further and try to catagorize the load management activities.  Much if this is based upon current models and may change with the advent of more sophisticated interactions, but in general I like to broadly categorize the range of load management acitivites that people engage in on the demand side in the following way:
 
(1) Energy efficiency performed every day which is targeted towards reducing the overall baseline of consumption.
 
(2) Daily load shaping which is specifically targeted towards fluctuating energy prices.  Many businesses are already enrolled in dynamic pricing tariffs in which the price of their electricity goes up every afternoon.  Usually the price rises are part of a fixed tarrif, but over time the prices are expected to be more closely tied to the wholesale market, so called Real Time Pricing (RTP).
 
(3) Day before Demand Response (Slow DR).  Demand Repsonse is specifically an event based mechanism that currently occurs infrequently (about 12 times per year for a typical DR program) and is used by the Utility/ISO to reduce the supply side requirements during times when either the grid is under stress or when prices on the wholesale market rises too high.  The events typically last for about 4 hours.  Day before DR refers to the fact that participants are typically notified a day before the event to give them time to repsond.  Typcially the responses are load reductions that are achieved through turning things off or shifting loads.  With on site generation the response may include producing power at the participant site.
 
(4) Day of DR (Fast DR, i.e. ancillary services).  This is also DR but typcially called by the Utility/ISO for a different reason, i.e. relaibility of the grid.  The grid is undergoing some stress that requires an immediate response in terms of load reduction (or adding load capacity in the case of distributed generation).  Since these DR events require a more immediate response there are constaints on how the participant can respond (e.g. load shifting may not be possible) and increased requirements on the reliability of the response.
 
(5) On site generation of electricity, both for use on site and to be sold back onto the grid.
 
 
Although 3 and 4 are both event based DR mechanisms that are initiated on the grid side, I think it is important to make the distinction between them because I believe that when dynamic pricing becomes more prevalent item (3) may become more like item (2), but (4) will not since it is more closely tied to grid reliability.
 
It is also important to note that today most of the DR programs are not automated, but those that are typcially use a mechanism that is called "Direct Load Control" (DLC).  In these programs the Utility/ISO directly controls the state of loads within a facility.  Although it is recognized that a more preferrable method is to send business level information (i.e. prices and/or shed levels)  to a participant and let them decide how to respond, there will most likely always be a place for DLC becasue it gives a more predictable and reliable response.  In the coming weeks you will no doubt hear more about OpenADR which is an attempt to sepcify an interaction model and message exchange mechanism for DR.
 
Things start to get even more complicated when you start adding in the various intermediaries (i.e. aggregators, ESCO's, etc.) that are involved in managing people's consumption of electricty.  I won't go into that here, but I will point you to a paper I presented at Grid Inter-op that discusses interrmediaries within the the domain of DR.
 
 
-ed koch
 
 
 


From: Considine, Toby (Campus Services IT) [mailto:Toby.Considine@unc.edu]
Sent: Thursday, December 11, 2008 9:57 AM
To: smartgrid-discuss@lists.oasis-open.org
Subject: [smartgrid-discuss] Introduction: The Demand Side

I am continuing to frame the subject some for those new to power here with a few stage-setters, here and on my blog.

 

http://www.newdaedalus.com/articles/2008/12/11/smartgrid-basics-the-demand-side-problem.html

 

Again, apologies to some who will feel I missed some nuances, as I know I have. My goal is to help some get up to speed quickly… Consider this an educational cartoon…

 

Smartgrid Basics: The Demand Side Problem

 

Building systems have traditionally been invisible and uncontrollable. They have been managed to reduce costs with no real focus on the service they are providing. They have grown up in sandboxes, using their own peculiar protocols. These protocols are deep and technology specific, and often without effective interface. These systems are operated, when they are operated by process specialists.

 

Building occupants rarely have a precise understanding of how these systems affect their business. They may know exactly what a too-hot or too-cold call costs. They know that tenant dissatisfaction may lead to un-renewed leases. They may suspect that under ventilation may lead to sleepy occupants, but can rarely put any exact price tag on that. This makes them conservative about making changes in building operations.

 

Demand Response (DR) is emerging a critical tool for dealing with peak load management. Peak loads are by far the most expensive and dirtiest electricity we have; their costs, on both bottom lines, swamping others. Demand response is moving from direct control to economic incentives, but underneath, today’s integrations are process centric rather than service oriented. Energy providers order or pay energy customers to turn off things on just a few days a year, to manage the peak. We encourage only the crudest, least effective energy savings, while denying the market the energy signals that would cause better.

 

At the commodity system level, DR is already moving to services and agents. Agents defend their own mission while responding to the outside world. Washing machines know not to respond to grid signals until they determine that the current laundry is not soaking in bleach. Refrigerators know not to respond if they have just finished a defrost cycle. These systems know and understand what services they provide and so are ready to be responsive. Building systems are not.

 

We will get larger DR when we talk to the building occupant. We will get better participation when the occupant remains in control. The occupant will not allow DR when the in-laws are coming for the weekend. The occupant knows the family overspent at Christmas and is willing to respond to any and all incentives. The access control system may know that only three people on the fourth floor came to work today. Human resources knows that the sales force is on a retreat. Together, they can choreograph far greater response from the building systems then ever will be permitted as an automatic response from control communications.

 

Demand Response must be about economic signals to a business entity. When thought of in this way, there is no need for different signals to Industry and to Business (and to home and to vehicle). The business may choose to automate this. The business may benefit from templates for response, whether developed by EPRI or by ASHRAE, which reduce the risk of considering participation. These choices and these templates are not part of the interface.

 

The interface should not does not concern itself with the underlying technology and control protocols. It should not be based upon BACnet, or OPC, or LON any number of other low level control system protocols. The interface must be one that enables business decisions. Control systems should offer up service interfaces for choreographed response. Whatever offer and counter offer DR requires, whether amount of load shed or maximum load used or time to respond must be in the interface, but no deep process.

 

The smartgrid to building/industry/home interface is about how the Service Oriented Building can respond to the Service Oriented Grid. Just as in other services, the underlying processes should be hidden.

 

tc


"It is the theory that decides what can be observed."   - Albert Einstein


Toby Considine

Chair, OASIS oBIX Technical Committee
Co-Chair, OASIS Technical Advisory Board
Facilities Technology Office
University of North Carolina
Chapel Hill, NC

  

Email: Toby.Considine@ unc.edu
Phone: (919)962-9073

http://www.oasis-open.org

blog: www.NewDaedalus.com

 

 

Grid-Interop-08 koch v2.pdf



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