HOME

OZ-ENERGY-ANALYSIS.ORG   -   open science for the new millennium

THE STORIES   |   DATA   |   ANALYSIS   |   MODELS   |   LITERATURE   |   DISCUSSIONS

Status: [24th Oct 2010] Round One

DEMAND MANAGEMENT

Introduction and Scope

Demand Management can refer to different things, but mostly means reducing the peak demand. Sometimes called peak shaving or load shifting, electricity is used now instead of later, and/or later instead of now. Off-peak hot water (for those without solar hot water) is a simple example of this. By flattening (and fattening) demand peaks the required upper capacity of system components is held down.

While the wholesale electricity market reflects demand and supply dynamics by pricing electricity in half hour chunks (allowing the price to rise as high as $12,500 a MWh from an average of around $25 a MWh), there is no Time of Use (ToU) price signal flowing through to residential consumers.

Here we are especially concerned with "Direct Load Control", whereby loads and appliances are actively controlled over minutes and hours in order to better manage the electricity system. While issues of efficiency (and the longer term issue of building design) are part of 'managing' demand, they are not part of the scope here. Similarly the term 'Smart Grid' can encompass various aspects, but here we confine attention to metering and Direct Load Control.

This is introductory material, an evolving primer to help in making sense of more specific and technical documents produced by government, utilities, and others. The focus here is on the residential sector, which constitutes around one quarter of demand on average but a much larger portion of peak demand, due in large part to air conditioners. For now we take it that the implementation of demand management in the commercial sector will be much the same as for residential. The industrial sector is a separate issue and not considered here.

Teasing out possibility from policy, reckonings from rollout, is an ongoing process. We are especially interested in what IS happening, or being considered at a policy level, and the development of this page over time will reflect that focus.

The important question for OzEA is this: how much peak shaving and load shifting will the demand management systems of the future provide?

Renewables

Demand Management can help in running an electricity system whether or not renewables are involved, however, in the current context it can only help around the edges with the large scale (multi-day) variability in renewable power sources, especially Wind.

That said, it is none-the-less the case that a system incorporating more renewables needs to counterbalance with increased demand side flexibility. What we discuss here is the first generation of demand management, and how this might play out into the future remains unclear. Certainly, Direct Load Control can act to balance short term fluctuations in supply and thus enhance system stability.

Metering and the 'Smart' Revolution

'Smart Meters' are a key component of a 'Smart Grid', but what does a Smart Meter do?

Interval Meters are the first step. While a traditional meter simply measures overall electricity use, and is read every three months, an interval meter records the electricity used each half hour (or other time interval). They also include communication capabilities that make usage data available to the electricity provider, and also the consumer. This may be simply informative to start, but Time of Use billing is the usual goal. Residential consumers will then pay less at times when supply is plentiful, and electricity will be more expensive at peak times. Victoria is in the process (2009-13) of an Interval Meter rollout.

There seems to be ongoing debate as to precisely what functionalities should ideally be included in a smart meter rollout, and we avoid delving into these details just yet.

While time-of-use electricity pricing better apportions cost towards those who contribute most to peak loads, and can provide incentive to change usage behaviour, these consequences in themselves do not constitute 'Direct Load Management'. What is required is for specific appliances to be managed in an automated way in response to the relative abundance or scarcity of supply. There are different ways this can happen, but first we have a look at the target appliances.

Appliances

Only some appliances have flexible usage patterns; things like kettles and computers do not. One particular group of appliances is of particular interest, being the triumvirate of air conditioners, water heaters and pool pumps. Each of these is a fixed-in-place item that can have a significant role in demand management.

The 'off peak' hot water tariff was an early and basic form of Demand Management, and water heating (so far as it consumes electricity) continues to allow load shifting. Water heating appliances can mostly be switched off at times of peak demand and otherwise run intelligently to minimise the cost of the electricity consumed.

Pool pumps simply should not be on at times of peak load, and with consideration for noise issues can be intelligently scheduled to run on the cheapest electricity.

Air conditioners are not so trivially time shifted, but as the system-crippling load at peak times they need to be included in the base level of Demand Management systems. It is apparent that two levels of control are needed. First, a consumer subject to time-of-use pricing and empowered with automated control tools can choose to reduce air conditioner use at peak times through either turning them off (one by one in households with multiple air-conditioners), and/or by moving the thermostat up and back down in response to the price highs. Second, as an agreed part of ones electricity plan (or as an emergency measure), the air-con compressor (but not the fan) can be switched off for short periods according to some schedule; thus providing a mechanism for centralised load curtailment at times of extreme system load.

Fridges are another major appliance that could act as a managed load. A standard example is for a fridge to slightly lower its thermostat (e.g. 3.5 deg C instead of 4.0 deg C) when electricity is plentiful / cheap (or in advance of peak load), and to become just a little less cold (e.g. thermostat at 4.5 deg C) when demand is high. Fridges also have significant potential to utilise thermal mass; this can allow both load shifting in response to the electricity price, and for fridges to do their work cycles more efficiently in the cooler times (e.g. night and early morning).

Load control -is not- achieved by bluntly cutting the power in and out; rather, these devices are to have embedded circuitry that controls the device in response to communication signals. In the case of Air Conditioners there is an Australian Standard (AS4755.3.1) for the control interface. As these standards are established, the inclusion of the necessary 'chip' in new appliances can be mandated.

Implementation: How will it work?

One way it could work, and a good starting point for this discussion, is via a Control System that is independent of the meter. Such a Home Area Network (HAN) would manage and communicate with the appliances; it would also need to communicate externally to obtain information about the electricity price. The HAN might exist as an internet device on your home network, and by default communicate with, and be managed by, your electricity company. Your choice of electricity plan might specify how you want the appliances managed. Alternatively, you might want to manage your HAN in some other way, with your electricity company simply billing you.

A separate HAN means that rollout of a basic Interval Meter can proceed, and consumers can upgrade their HANs over time as appliances change and other technologies become important. Alternatively, rolling the HAN into a Smart Meter means working out what needs to be in the Meter and getting it right once-and-for-all before any rollout. The aim here would be an essentially seamless transition to a smarter grid, and one that avoided the hassle of having and managing a separate HAN.

The astute reader may be bursting with practical questions, as we are here at OzEA, but this is a conceptual discussion for now. Clarity will develop in time, while further immediate progress appears to require wading into an abyss of detail.

Residential Time of Use Pricing

Residential Time of Use (ToU) pricing will be the motivator that drives households and businesses to adopt usage behaviour that will provides demand side elasticity. It will fundamentally connect the supply side to the demand side. It will drive the industries that will provide the technologies for load management.

It is important to realise that households with modest electricity use at peak times may very well end up with smaller electricity bills, effectively withdrawing subsidy to those who contribute most to the peak loads. Running multiple cheap air conditioners will become a less and less attractive way of making up for poor house design.

A long lead in may be required to implement ToU pricing, for two reasons. First, the social and political aspects require community acceptance; second, ToU pricing without commensurate (and automated) load control systems will likely struggle to maintain community acceptance.

In September 2010 the Energy Networks Association (ENA) (industry association made up of Australia's energy distribution and transmission businesses) released a strategy for the implementation of smart electricity networks (4 page summary [1.7 MB], 20 page full report [5.2 MB]). While this strategy is somewhat coy in referring only to "price structures", it is clear that Time of Use pricing is a central aspect.

Concluding Remarks

Utilities, governments and commercial providers are active in developing the technologies and policies to implement demand management as an integral part of the electricity system. In some jurisdictions (e.g. Victoria) smart meter rollout is happening now.

Load management (and efficiency) are important for managing peak demands, especially from air conditioners, and are needed to avoid or postpone expensive upgrades to distribution networks in particular. Also, incorporating renewable sources of power into the generation mix (especially wind) adds a new layer of 'peakiness' into the task of having supply meet demand at all times. Demand-side management has an important albeit secondary role in managing the variability of renewables.

We maintain a watching brief on this area, and for now look to the comments below as the active arena. At this time we are more concerned with what Demand Management can do for us than vice versa. In ten years time, say, how much peak shaving and load shifting capability will these technologies provide compared to a 2009 baseline? At some point in 2011 we expect to need an estimate of this.


DISCUSSION: (on demand management and its place in a grid with a high penetration of renewables)

5

OzEA_TMGMT0005

Alex
Subject: Demand Management Pilot Projects and System frequency regulation
Date: 2010-07-14 (at 15:36:46)


Yesterday Francis and I were fortunate to meet with David Swift to discuss the operation of the NEM. During the meeting he mentioned some pilot Demand Management projects and India as a unique place of frequency regulation, as follows:

In terms of the Australian "Smart Grid, Smart Cities" Project, here are two links:
#1. An informative cover page at CSIRO: http://www.csiro.au/partnerships/Smart-grid-smart-cities.html
#2. A gov cover page with introductory blurb: http://www.climatechange.gov.au/government/programs-and-rebates/smartgrid.aspx

ETSA had a pilot project that has just finished (30th June) called:
Demand Management Program Interim Report No. 3, June 2010, which outlines the project outcomes.

Also there is a project in Korea using an island (Jeju) to pilot demand management strategies. See the wiki summary here: http://en.wikipedia.org/wiki/Jeju_Smart_Grid_Demonstration_Project_in_Korea

We are considering how system frequency is tied into demand management; here is an interesting paper that looks at how the Indian system regulates system frequency including some comparison with Australian and UK systems.

Pros and Cons of Existing Frequency Regulation Mechanism in Indian Power Industry
Parida et al, 2008,
IEEE

6

OzEA_TMGMT0006

Alex
Subject: ETSA Demand Management
Date: 2010-08-05 (at 17:43:06)


ETSA (who manage the SA distribution network) have a dedicated page on Demand Management:
http://www.etsautilities.com.au/centric/our_network/demand_management.jsp
Including 3 interim reports (~80 pages each) on their "Demand Management Program".

There is an Australian Standard (AS4755) for "Demand response capabilities and supporting
technologies for electrical products" and AS4755.3.1 "Interaction of demand response enabling
devices and electrical products - Operational instructions and connections for air conditioners"

"Furthermore, intelligent technologies that could provide a boost to many
areas of economic performance are already available and in production.
Instead, the main challenges involve ensuring that the regulatory and policy
environments are welcoming to the adoption of the intelligent technologies
and promote their cost effective rollout."

7

OzEA_TMGMT0007

Alex
Subject: Smart Smart Grid, Smart City
Date: 2010-08-06 (at 14:43:16)


Newcastle is hosting a pilot project, Australia's first commercial scale smart grid. The DCC has a page describing the project: (http://www.climatechange.gov.au/government/programs-and-rebates/smartgrid.aspx).
The project aims to implement advanced communication, sensing and metering infrastructure into the current network, gathering information to inform future development on system efficiency, safety and stability, with it's diversity in location seen to provide a adequate representation of the wider grid.

Some facts and figure have been presented here:
http://www.ecoseed.org/en/general-green-news/green-topics/smart-grid/smart-grid/7359-Australia-showcases-Newcastle-as-first-$-100-million-smart-city
The project is being led by Energy Australia on a budget of up to $100 million, who will roll-out 12,000 smart sensors across the network, place smart meters in 50,000 homes, and use 15,000 homes to test in-house monitors and websites to run data on water and electricity use.
Households will also test remote opperation of Air Conditioners, while others will become battery storage vessels for local power demand.
An initial fleet of 20 electric cars will be trialed, with a second fleet and public powering stations to be trialed as the project develops.

8

OzEA_TMGMT0008

Francis
Subject: signals for demand management
Date: 2010-08-15 (at 00:12:49)


As in #5 above, we were wondering about system frequency as a signal for demand management. Physical inertia in the spinning reserve is what responds first (instantaneously) to changes in the balance between supply and demand; if load increases, the required energy comes first from the physical inertia, thus slowing the turbines down and reducing system frequency (by a small amount around 50 Hz). Conversely, if load is removed from the system the released energy manifests as increased kinetic energy in the spinning reserve (higher frequency). Prima facie it seemed that frequency itself could be used and manipulated as an indicator of network load (e.g. 49.9 Hz -> system under load; 50.1 Hz -> cheap electricity). However, with the generators synchronised from Cooktown to Ceduna, this is not a useful indicator; it is entirely possible to simultaneously have low demand in Queensland and high demand in SA. We have thus moved on to the idea of substation level carrier signals (high frequency modulations) as the next obvious way to broadcast network status to aware devices. Is this not the obvious way to underpin demand management?

9

OzEA_TMGMT0009

Alex
Subject: Smart Meters
Date: 2010-08-24 (at 15:03:31)


What are smart meters all about?
While reading through ETSA'a interim report 3 (see #6 above), smart meters get a big mention. key points follow:
-Aim to create price elasticity - it is perceived that if a customer has a greater awareness of the price of their electricity, in this case facilitated through a smart meter, they will change their usage.
-Allows customer billing to reflect usage patterns, instead of using average load profiles.

This is in conjunction with the following:
-There is no data breaking down residential electricity usage, smart meters would facilitate this
-Smart meters may become a direct means of load control - The Australian Standard AS4755, mentioned in #6 above, is an interface to control devices and have them controlled remotely. This will be rolled out in all smart meters post 2012 (see point 10 www.arema.com.au/DemandResponseChronology.pdf).

This is as far as I am at the moment

10

OzEA_TMGMT0010

Neil Howes
Subject: demand management
Date: 2010-08-31 (at 13:42:17)


The ETSA report mentioned #6,(demand management) shows that about 0ne third of peak demand( 1000MW of 3,300MW) occurs <2% of time and 500MW< 1% of time.
It would seem that shaving some of this peak is going to be a sensible and cost effective approach whatever energy sources are used.

fc - see here for some plots of this.

13

OzEA_TMGMT0013

Francis
Subject: clean slate
Date: 2010-10-24 (at 22:31:58)


clearing most current Demand Management Page comments from default view (see "Full Lists").

14

OzEA_TMGMT0014

John Newlands
Subject: DSM and vulnerable citizens
Date: 2010-10-29 (at 18:37:24)


I note that the US seems to make greater use of cross tiered pricing plans than Australia. That is you can use so many kwh in a set period of day at a base rate after which penalty rates apply. Perhaps the base rates could be benchmarked on efficient appliances eg 30cm LCD TVs not 80cm plasma TVs. Before imposing those benchmarks the public needs to be given fair warning and the chance to meet the standard. Perhaps a subsidised trade-in on the energy guzzling appliance. This approach may be able to knock several GW off average demand since millions of people are now watching little TVs, taking short showers, microwaving cups of tea and keeping the fridge door shut hours a a time.

By 2020 and beyond the world will have tens of millions of baby boomers requiring higher levels of physical care. Given that outer Melbourne reached 48C in 2009 I think a particular issue will be heat stress. Some kind of priority system for providing home thermal comfort may have to be implemented, no doubt subject to abuse. That could mean the 'registered frail' get continuous refrigerative air conditioning in one room while every body else has to sweat it out.

15

OzEA_TMGMT0015

francis
Subject: Re: #14, DSM and vulnerable citizens
Date: 2010-10-29 (at 19:00:12)


Tiered pricing is just the sort of thing that interval / smart meters will allow.

To start I was also concerned about "vulnerable citizens" (who wouldn't be as a starting point), but now I think this is a non-problem. In Australia the frail will always get sufficient cheap electricity for adequate cooling and heating. Period. What matters are perceptions, and implementation.

Maybe the implementation of Time of Use metering will be much as you outline; as a starting point you get a (generous) quota per household at a flat rate; and after that you pay variable rates. There are many possibilities.

[Show Full Lists]


Post Comment:

A name or alias, email and concise subject are required. Your email will not be abused.
Comments are required to be polite and on topic (commenting etiquette)

Name:*
Email:*
Website:
Subject:*
What is the longhand for 'Oz'? :*


fc - Oct 2010