Demand-side management measures can be used to support electricity grids by relieving network constraints and/or providing services for electricity network system operators.
This webinar will summarise the results from detailed case studies of 64 DSM grid support projects from 13 different countries around the world implemented between the early 1990s and 2008.
The webinar will cover the following topics:
* identifying the value of a DSM grid support project to different categories of stakeholders;
* evaluating and acquiring demand-side resources for grid support;
* incorporating demand-side measures into grid planning;
* the role of load control and smart metering in supporting electricity grids.
Using Demand-Side Management to Support Electricity GridsLeonardo ENERGY
Demand-side management measures can be used to support electricity grids by relieving network constraints and/or providing services for electricity network system operators.
This webinar will summarise the results from detailed case studies of 64 DSM grid support projects from 13 different countries around the world implemented between the early 1990s and 2008.
The webinar will cover the following topics:
* identifying the value of a DSM grid support project to different categories of stakeholders;
* evaluating and acquiring demand-side resources for grid support;
* incorporating demand-side measures into grid planning;
* the role of load control and smart metering in supporting electricity grids.
Demand Management is understood as one of the core functions of a smart grid. ISGAN is publishing a case book focusing on Demand Management projects, where member countries have volunteered cases for the purposes of increasing knowledge and collaboration between stakeholders on smart grid project planning, implementation and management. The cases included in the report represent a broad range of economic, political, geographical, structural, cultural and market contexts, intended to promote more sophisticated conversation about lessons learned and best practices across stakeholders.
The webinar will focus on one of the case studies discussed in the report, and in particular on the initiatives on customer engagement in Italy.
Demand Side Management” means the actions of a Distribution Licensee, beyond the customer's meter, with the objective of altering the end-use of electricity
Using Demand-Side Management to Support Electricity GridsLeonardo ENERGY
Demand-side management measures can be used to support electricity grids by relieving network constraints and/or providing services for electricity network system operators.
This webinar will summarise the results from detailed case studies of 64 DSM grid support projects from 13 different countries around the world implemented between the early 1990s and 2008.
The webinar will cover the following topics:
* identifying the value of a DSM grid support project to different categories of stakeholders;
* evaluating and acquiring demand-side resources for grid support;
* incorporating demand-side measures into grid planning;
* the role of load control and smart metering in supporting electricity grids.
Demand Management is understood as one of the core functions of a smart grid. ISGAN is publishing a case book focusing on Demand Management projects, where member countries have volunteered cases for the purposes of increasing knowledge and collaboration between stakeholders on smart grid project planning, implementation and management. The cases included in the report represent a broad range of economic, political, geographical, structural, cultural and market contexts, intended to promote more sophisticated conversation about lessons learned and best practices across stakeholders.
The webinar will focus on one of the case studies discussed in the report, and in particular on the initiatives on customer engagement in Italy.
Demand Side Management” means the actions of a Distribution Licensee, beyond the customer's meter, with the objective of altering the end-use of electricity
Demand Side Management:
Offers cost effective and immediate solution to bridge Demand Supply Gap
Augmenting Tool in Energy Security And Combat Climate Change
Successful implementation of DR program is possible if the users participates into it willingly without compromising with their comfortable life style
DR program does not ensure same amount of benefit for all the participating players i.e, some may be incentivized whwre as some can receive penality.
The employment of DR relies on the reliable,robust and secure communication system.
Choice of efficient energy price structure is the main key factor to attract the users towards DR programs.
Electricity Demand Side Management and End-use efficiencyeecfncci
This presentation give an overview about demand side management and end-use efficiency for electricity supply systems. It was prepared for energy auditor training in Nepal in the context of GIZ/NEEP programme. For further information go to EEC webpage: http://eec-fncci.org/
With Smart Grids in the foreseeable future, Demand-Side Management (DSM) is on the cusp of a revolution that will forever alter the way that homes and businesses use electricity. To add to the positive DSM buzz, budgets to facilitate Smart Grid planning and implementation are on the rise, according to a recent March survey by Microsoft. In the survey, 73 percent of utility professionals and executives surveyed said budgets for these efforts are on the rise. Governments and utilities have long sought to improve DSM through conservation and load management programs. To gain insight into this transformation, Zpryme examined the level of investment by utilities in DSM over the past 5 years while acknowledging their sales (MWh) and revenue.
Kenya’s main electricity producer walks us through their efforts in energy efficiency including their 2010 CFL program and other energy management projects.
These slides present at an introduction level about the demand side management and demand response in smart micro-grid system. Later mathematical modelling and detail on optimization techniques will be covered.
Demand Response Electricity Markets Dallon Kay Diamond Energy Group 20111101dallon_kay
Presentation on Demand Response in Electricity Markets, Singapore Electricity Roundtable 2011, 1st November 2011, Singapore International Energy Week 2011 "Securing Our Energy Future"
In this webinar, the editors of the Green Book on the “Electricity Supply Systems of the Future” will describe their long journey to summarize the collective knowledge acquired in CIGRE Study Committees. This journey can never be over, as visions become realities or become obsolete and new challenges and developments unavoidably appear. Nevertheless, the Green Book provides CIGRE’s unique and unbiased technical views for the current and future state of electricity supply systems. It also shows the value of global collaborative work of numerous experts from industry and academia mobilized within the CIGRE community. CIGRE is the foremost authority for end-to-end power system expertise.
EEI Strategic Issues Forum - Integration of DER: California and New YorkScottMadden, Inc.
Cristin Lyons, partner and grid transformation practice leader at ScottMadden, recently presented, "Integration of DER: California and New York," at the EEI Strategic Issues Form.
California and New York are leading the country in integrating Distributed Energy Resources (DER); however, their approaches are different. It’s worth understanding some of the nuances of their respective proceedings and to clarify what they are (and are not) trying to accomplish. Each will provide unique lessons to both utilities and regulators that are attempting to integrate ever-increasing amounts of DER.
For more information, please visit www.scottmadden.com.
Demand Side Management:
Offers cost effective and immediate solution to bridge Demand Supply Gap
Augmenting Tool in Energy Security And Combat Climate Change
Successful implementation of DR program is possible if the users participates into it willingly without compromising with their comfortable life style
DR program does not ensure same amount of benefit for all the participating players i.e, some may be incentivized whwre as some can receive penality.
The employment of DR relies on the reliable,robust and secure communication system.
Choice of efficient energy price structure is the main key factor to attract the users towards DR programs.
Electricity Demand Side Management and End-use efficiencyeecfncci
This presentation give an overview about demand side management and end-use efficiency for electricity supply systems. It was prepared for energy auditor training in Nepal in the context of GIZ/NEEP programme. For further information go to EEC webpage: http://eec-fncci.org/
With Smart Grids in the foreseeable future, Demand-Side Management (DSM) is on the cusp of a revolution that will forever alter the way that homes and businesses use electricity. To add to the positive DSM buzz, budgets to facilitate Smart Grid planning and implementation are on the rise, according to a recent March survey by Microsoft. In the survey, 73 percent of utility professionals and executives surveyed said budgets for these efforts are on the rise. Governments and utilities have long sought to improve DSM through conservation and load management programs. To gain insight into this transformation, Zpryme examined the level of investment by utilities in DSM over the past 5 years while acknowledging their sales (MWh) and revenue.
Kenya’s main electricity producer walks us through their efforts in energy efficiency including their 2010 CFL program and other energy management projects.
These slides present at an introduction level about the demand side management and demand response in smart micro-grid system. Later mathematical modelling and detail on optimization techniques will be covered.
Demand Response Electricity Markets Dallon Kay Diamond Energy Group 20111101dallon_kay
Presentation on Demand Response in Electricity Markets, Singapore Electricity Roundtable 2011, 1st November 2011, Singapore International Energy Week 2011 "Securing Our Energy Future"
In this webinar, the editors of the Green Book on the “Electricity Supply Systems of the Future” will describe their long journey to summarize the collective knowledge acquired in CIGRE Study Committees. This journey can never be over, as visions become realities or become obsolete and new challenges and developments unavoidably appear. Nevertheless, the Green Book provides CIGRE’s unique and unbiased technical views for the current and future state of electricity supply systems. It also shows the value of global collaborative work of numerous experts from industry and academia mobilized within the CIGRE community. CIGRE is the foremost authority for end-to-end power system expertise.
EEI Strategic Issues Forum - Integration of DER: California and New YorkScottMadden, Inc.
Cristin Lyons, partner and grid transformation practice leader at ScottMadden, recently presented, "Integration of DER: California and New York," at the EEI Strategic Issues Form.
California and New York are leading the country in integrating Distributed Energy Resources (DER); however, their approaches are different. It’s worth understanding some of the nuances of their respective proceedings and to clarify what they are (and are not) trying to accomplish. Each will provide unique lessons to both utilities and regulators that are attempting to integrate ever-increasing amounts of DER.
For more information, please visit www.scottmadden.com.
Distributed energy resources (DERs) can provide net benefits to the electric system (e.g., congestion relief) and broader society (e.g., emission reductions). However, despite these advantages, the deployment of high penetrations of DER has proved challenging. Against this backdrop, the electric utility is often singled out as a fundamental barrier to deployment of DER assets. To overcome the perceived electric utility shortcomings, many stakeholders conclude that a completely new model is needed for the electric industry.
ScottMadden disagrees with this assessment and instead believes electric utilities maintain natural advantages that can be leveraged to deploy renewables and DER assets as well or better than some models being offered. In our 51st Phase II Roadmap, ScottMadden proposes leveraging the natural advantages of the electric utility in order to accelerate the deployment and penetration of DER assets.
Distributed energy resources (DERs) can provide net benefits to the electric system (e.g., congestion relief) and broader society (e.g., emission reductions). However, despite these advantages, the deployment of high penetrations of DER has proved challenging. Against this backdrop, the electric utility is often singled out as a fundamental barrier to deployment of DER assets. To overcome the perceived electric utility shortcomings, many stakeholders conclude that a completely new model is needed for the electric industry.
ScottMadden disagrees with this assessment and instead believes electric utilities maintain natural advantages that can be leveraged to deploy renewables and DER assets as well or better than some models being offered. In our 51st Phase II Roadmap, ScottMadden proposes leveraging the natural advantages of the electric utility in order to accelerate the deployment and penetration of DER assets.
For more information, please visit www.scottmadden.com.
Using PySpark to Scale Markov Decision Problems for Policy ExplorationDatabricks
Finding policies that lead to optimal outcomes for an organization are some of the most difficult challenges facing decision makers within an organization. The reason for it is the fact that policies are not made in a world with perfect information and markets in equilibrium. These are complex systems where the behavior of entities within the system are dynamic and generally uncertain. Reinforcement Learning (RL) has gained popularity for modeling complex behavior to identify optimal strategy. RL maps states or situations to actions in order to maximize some result or reward. The Markov Decision Process (MDP) is a core component of the RL methodology. The Markov chain is a probabilistic model that uses the current state to predict the next state.
This presentation discusses using PySpark to scale an MDP example problem. When simulating complex systems, it can be very challenging to scale to large numbers of agents, due to the amount of processing that needs to be performed in memory as each agent goes through a permutation. PySpark allows us to leverage Spark for the distributed data processing and Python to define the states and actions of the agents.
Clean Restructuring: design elements for low carbon wholesale marketsLeonardo ENERGY
This session is part of the Clean Energy Regulators Initiative Webinar Programme.
Theme 1 - The Evolving Role of Network Regulators.
Module 2: Design Elements for Low Carbon Wholesale Markets
Clean Restructuring: Design Elements for Low Carbon Wholesale Markets and Beyond, a 21st Century Power Partnership report, describes the movement from a vertically integrated power sector toward a more participatory and clean energy-friendly electricity system. The report focuses on the design of competitive wholesale markets that rely increasingly on variable renewable electricity (vRE) sources, demand response, and other flexible, clean energy options.
The webinar will review three main areas of consideration for decision makers embarking on a clean restructuring process: planning and procurement, market operation rules, and network expansion and grid code. The report features case studies of clean restructuring for Mexico, Denmark and Germany, and the webinar will focus on current clean restructuring efforts in Mexico by the co-authors of the case study, Hector Beltran and Jose Maria Valenzuela.
Clean Restructuring: design elements for low carbon wholesale marketsLeonardo ENERGY
This session is part of the Clean Energy Regulators Initiative Webinar Programme.
Theme 1 - The Evolving Role of Network Regulators.
Module 2: Design Elements for Low Carbon Wholesale Markets
Clean Restructuring: Design Elements for Low Carbon Wholesale Markets and Beyond, a 21st Century Power Partnership report, describes the movement from a vertically integrated power sector toward a more participatory and clean energy-friendly electricity system. The report focuses on the design of competitive wholesale markets that rely increasingly on variable renewable electricity (vRE) sources, demand response, and other flexible, clean energy options.
The webinar will review three main areas of consideration for decision makers embarking on a clean restructuring process: planning and procurement, market operation rules, and network expansion and grid code. The report features case studies of clean restructuring for Mexico, Denmark and Germany, and the webinar will focus on current clean restructuring efforts in Mexico by the co-authors of the case study, Hector Beltran and Jose Maria Valenzuela.
Best Practices in Designing and Implementing Energy Efficiency Obligation Sch...Leonardo ENERGY
An energy efficiency obligation (EEO) is a regulatory mechanism that requires obligated parties to meet quantitative energy saving targets by delivering or procuring eligible energy savings produced by implementing approved end-use energy efficiency measures.
Governments have endeavoured to improve end-use energy efficiency, and in some cases to also achieve other objectives, by designing and implementing schemes that place EEOs on particular parties.
This webinar will summarise the results from detailed case studies and a unique comparative analysis of 19 different EEO schemes implemented in a range of jurisdictions around the world.
The webinar will also identify a set of best practices that can be employed in designing and implementing an EEO scheme.
Best Practices in Designing and Implementing Energy Efficiency Obligation Sch...Leonardo ENERGY
An energy efficiency obligation (EEO) is a regulatory mechanism that requires obligated parties to meet quantitative energy saving targets by delivering or procuring eligible energy savings produced by implementing approved end-use energy efficiency measures.
Governments have endeavoured to improve end-use energy efficiency, and in some cases to also achieve other objectives, by designing and implementing schemes that place EEOs on particular parties.
This webinar will summarise the results from detailed case studies and a unique comparative analysis of 19 different EEO schemes implemented in a range of jurisdictions around the world.
The webinar will also identify a set of best practices that can be employed in designing and implementing an EEO scheme.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: DOE-OE Microgrid Cost Study, presented by Annabelle Pratt, National Renewable Energy Laboratory, Baltimore, MD, August 29-31, 2016.
Clean Energy: Structure and Role of RegulatorsLeonardo ENERGY
This session is part of the Clean Energy Regulators Initiative Webinar Programme.
Theme 1 - The Evolving Role of Network Regulators.
Module 1: Defining Structure and Roles of Regulators and Institutions
Power systems around the world are quickly evolving, and the role of power sector regulators is growing substantially more complex.
This webinar will provide an overview of global forces shaping power sector transformation, discuss the evolving role of the regulator to harness such forces, and then zoom-in on a particular transformative force – variable renewable energy – to discuss specific regulatory aspects and approaches.
This webinar is based on the reports "The Evolving Role of the Power Sector Regulator" and "An Overview of Variable Renewable Energy Regulatory Issues".
Clean Energy: Structure and Role of RegulatorsLeonardo ENERGY
This session is part of the Clean Energy Regulators Initiative Webinar Programme.
Theme 1 - The Evolving Role of Network Regulators.
Module 1: Defining Structure and Roles of Regulators and Institutions
Power systems around the world are quickly evolving, and the role of power sector regulators is growing substantially more complex.
This webinar will provide an overview of global forces shaping power sector transformation, discuss the evolving role of the regulator to harness such forces, and then zoom-in on a particular transformative force – variable renewable energy – to discuss specific regulatory aspects and approaches.
This webinar is based on the reports "The Evolving Role of the Power Sector Regulator" and "An Overview of Variable Renewable Energy Regulatory Issues".
Similar to Using Demand Side Management to Support Electricity Grids (20)
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Link to the recordings: https://youtu.be/ZCFhmldvRA0
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A recording of this presentation can be viewed at:
https://youtu.be/aC0h4cXI9Ug
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A link to the recording: https://youtu.be/4pw_9hpA_64
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Recording available at https://youtu.be/lPT1o735kOk
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This is the 17th webinar in the Odyssee-Mure on Energy Efficiency Academy.
Recordings are available on: https://youtu.be/KIewOQCgQWQ
(see updated version of this presentation:
https://www.slideshare.net/sustenergy/energy-efficiency-funds-in-europe-updated)
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AGENDA
14:00 Introduction to streamSAVE
(Nele Renders, Project Coordinator)
14:10 Views from the EU Commission and the link with Fit-for-55 (Anne-Katherina Weidenbach, DG ENER)
14:20 The streamSAVE guidance and its platform illustrated (Elisabeth Böck, AEA)
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14:55 Country experiences: the added value of standardized methods (Elena Allegrini, ENEA, Italy)
The recordings of the webinar can be found on https://youtu.be/eUht10cUK1o
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The recordings of the presentation (webinar) can be viewed at:
https://youtu.be/8RuK5MroTxk
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Watch the recordings of the webinar:
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https://youtu.be/TS6PxIvtaKY
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https://alandix.com/academic/papers/synergy2024-epistemic/
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In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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Essentials of Automations: The Art of Triggers and Actions in FME
Using Demand Side Management to Support Electricity Grids
1. The Regulatory Assistance Project
Global
China
India
European Union
United States
www.raponline.org
Using Demand-Side Management to
Support Electricity Grids
DSM University/Leonardo Energy Webinar
7 May 2014
Dr David Crossley, Senior Advisor
2. About RAP
The Regulatory Assistance Project (RAP) is a global, non-profit team of experts that
focuses on the long-term economic and environmental sustainability of the power
and natural gas sectors. RAP has deep expertise in regulatory and market policies
that:
Promote economic efficiency
Protect the environment
Ensure system reliability
Allocate system benefits fairly among all consumers
Learn more about RAP at www.raponline.org
Dr David Crossley Email: dcrossley@raponline.org
3. IEA DSM Programme
• The International Energy Agency DSM Programme is an
international collaboration of 14 countries plus several
international organisations working together to develop and
promote opportunities for demand-side management (DSM)
• DSM offers solutions to problems such as load management,
energy efficiency, strategic conservation and related activities
• The work of the IEA DSM Programme is organized through a
series of research projects (known as Tasks) and reported in a
number of publications
• The DSM University, supported by Leonardo Energy, provides
access in a structured way to the knowledge developed during
20 years of experience in the IEA DSM Programme
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4. IEA DSM Project on Network-Driven DSM (1)
• From 2004 to 2008, the IEA DSM Programme carried out
a research project on network-driven demand-side
management
• Seven countries participated in the project: Australia,
France, India, New Zealand, Spain, South Africa and the
United States
• Network-driven DSM is concerned with reducing demand
on electricity networks (grids) in specific ways which
maintain system reliability in the immediate term and over
the longer term defer the need for network augmentation
• This project was the first broad and systematic
investigation of the potential for DSM to cost-effectively
support electricity networks
4
5. IEA DSM Project on Network-Driven DSM (2)
• Network-driven DSM measures include:
– direct load control;
– distributed generation, including standby generation and
cogeneration;
– demand response;
– energy efficiency;
– fuel substitution;
– interruptible loads;
– integrated DSM projects;
– load shifting;
– smart metering;
– power factor correction; and
– pricing initiatives, including time of use and demand-based tariffs
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6. IEA DSM Project on Network-Driven DSM (3)
• The network-driven DSM project identified and
developed a wide range of DSM measures that can:
– relieve constraints on electricity distribution and/or
transmission networks at lower costs than building
‘poles and wires’ solutions; and
– provide operational support services for electricity
networks, achieving peak load reductions with
various response times
6
7. IEA DSM Project on Network-Driven DSM (4)
• The project comprised five linked investigations:
– Worldwide Survey of Network-Driven DSM Projects
– Assessment and Development of Network-Driven
DSM Measures
– Incorporation of DSM Measures into Network
Planning
– Evaluation and Acquisition of Network-Driven DSM
Resources
– Role of Load Control and Smart Metering in
Achieving Network-related Objectives
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8. Worldwide Survey of DSM Projects (1)
• In this investigation, 64 detailed case studies of network-
driven DSM projects from 13 different countries around the
world were researched and developed
• The survey focused on projects carried out between the
early 1990s and 2008 in the seven countries participating
in the project, but also included projects from other
countries
• Detailed case studies of the projects were prepared and
included in an online database
• These case studies provide detailed information about ways
in which DSM measures can be used to relieve electricity
network constraints and/or to provide network operational
support services
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9. Worldwide Survey of DSM Projects (2)
• The survey showed that network-driven DSM options
can effectively:
– achieve load reductions on electricity networks that
can be targeted to relieve specific network
constraints; and
– provide a range of network operational services,
including: reactive supply and voltage control,
regulation and frequency response, energy
imbalances, spinning reserves, supplemental
reserves, and generator imbalances
9
10. Worldwide Survey of DSM Projects (3)
• Another important finding from the survey was that all
types of DSM measures can be used to relieve network
constraints and/or provide network operational services
• Whether a particular DSM measures is appropriate or
cost-effective depends on the specific nature of the
network problem being addressed and the availability
and relative costs of DSM resources in that situation
10
11. Assessment and Development of DSM Measures (1)
• In this investigation, the 64 case studies from the
worldwide survey were analysed to identify the
categories of DSM measures that can be used to achieve
network-related objectives
• The value propositions for these DSM measures were
identified, including the specific network problems
which each measure can successfully address
• In addition, the factors which result in a network-driven
DSM measure being successful in cost-effectively
achieving network-related objectives were determined
11
12. Assessment and Development of DSM Measures (2)
• The investigation concluded that the value to stakeholders of a
network-driven DSM project varies depending on the
perspectives of the stakeholders involved
• The value can even vary among similar stakeholders (e.g.,
customers located in network-constrained areas versus
customers located outside these areas)
• The distribution of the benefits from network-driven DSM
projects among many different stakeholders means that the
project promoter is unlikely to capture all the benefits
• Other parties who have not contributed to the cost of
implementing the project may well receive some of the benefits
• To provide value to the project promoter, the total benefits from
a network-driven DSM project must be quite large and the
promoter must capture a significant proportion of these benefits
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13. Assessment and Development of DSM Measures (3)
• This investigation also identified a number of external and
internal factors that may contribute to the success of
network-driven DSM projects
• External success factors include: government policies,
regulatory regime, market structure, commitment by
project proponent, technology availability, commercial
considerations, and public relations benefits
• Internal success factors include: project objectives,
target market, DSM measures used, market barriers
addressed, outreach and marketing, participation process,
and customer service and delivery mechanisms
13
14. Assessment and Development of DSM Measures (4)
• Different network-driven DSM projects containing the
same DSM measures (such as energy efficiency or load
shifting or direct load control or pricing initiatives) tend
to have a common set of factors that contribute to the
projects’ success
• The challenge in designing a successful network-driven
DSM project is to clearly identify the success factors for
each of the DSM measures included in the project and
then concentrate on optimizing each of these factors
14
15. Incorporation of DSM into Network Planning (1)
• In this investigation, analyses were carried out of the
interaction between network-driven DSM measures and
the electricity market structures and regulatory regimes
in each of the seven participating countries
• The network planning processes implemented in each
participating country were also identified and
characterised
• Options were then developed for modifying network
planning processes to incorporate DSM measures as
alternatives to network augmentation
15
16. Incorporation of DSM into Network Planning (2)
• Among the seven participating countries, planning processes
for electricity transmission and distribution systems vary
significantly
• Variation occurs particularly in relation to:
– the types and functions of the various organisations
involved
– the detailed planning processes and methodologies used
– the policy and regulatory regimes within which electricity
network businesses operate
• However, there is sufficient commonality to identify key areas
where changes could be made to enable increased use of DSM
resources as alternatives to network augmentation and to
support electricity networks
16
17. Incorporation of DSM into Network Planning (3)
• Three key areas were identified where changes could be
made
• Forecasting future electricity demand
– Forecasting methodologies frequently reduce global
load forecasts by an assumed (usually small) amount
to take account of the potential contribution by DSM
towards supporting electricity networks
– Forecasting methodologies for network planning
should be modified to more accurately account for the
potential contribution of DSM
17
18. Incorporation of DSM into Network Planning (4)
• Developing options for relieving network constraints
– Network businesses should provide information and formal
opportunities for third parties with expertise in DSM to
participate in the development of options that use DSM
resources to relieve network constraints
• Establishing policy and regulatory regimes for network
planning
– Governments and regulators should change policy and
regulatory regimes to reduce the disincentives faced by
network businesses that use DSM resources to support
electricity networks
– This could be done: 1) by providing policy and regulatory
incentives to network businesses and 2) by imposing policy
and regulatory obligations on network businesses
18
19. Evaluation and Acquisition of DSM Resources
• In this investigation, a survey of practices in the seven
participating countries identified a range of processes for
evaluating, acquiring and implementing DSM resources to
provide support for electricity networks
• DSM resource acquisition processes typically include the
following stages:
– assess the need for DSM resources
– identify and evaluate available DSM resources
– contact potential providers of DSM resources
– negotiate the provision of DSM resources
– acquire and implement the DSM resources
• Best practices within each of these stages are tailored to the
nature of each DSM resource and to the specific purpose for
which the resource is required
19
20. Role of Load Control and Smart Metering (1)
• This investigation looked at the role of load control and smart
metering in achieving network-related objectives
• A survey of load control and smart metering
technologies was carried out, focussing on the functionalities and
capabilities of load control and smart metering devices that can
be used to achieve network-related objectives
• A database was established containing descriptions of 17 then
available load control and smart metering technology products
• The load control and smart metering projects included in the
case studies database were reviewed and new case studies
carried out to identify the factors that contribute to making such
projects effective
• Best practices in the use of load control and smart metering to
achieve network-related objectives were identified
20
21. Role of Load Control and Smart Metering (2)
• Three ways were identified in which advanced metering
and load control technology can be used to support
electricity networks
• First, advanced meters enable the implementation of
time-varying pricing which sends price signals to
customers that reflect the underlying costs of generating,
transporting and supplying electricity
• Price-based demand response programs can reduce or
shape customer demand and particularly can reduce
peak loads on the electricity network and therefore
reduce the amount of investment required in network
infrastructure
21
22. Role of Load Control and Smart Metering (3)
• Second, analysing data from advanced meters provides
end˗users with detailed information about the ways in which
they use electricity and can enable businesses to identify and
implement energy, cost and carbon savings
• Energy savings reduce the overall load on the electricity
network, therefore contributing to supporting the network
• Third, load control technologies can be used to directly
reduce peak loads on the electricity network by remotely
switching appliances and equipment at customers’ premises
• This is arguably the most effective mechanism for reducing
peak loads since remote switching requires only one “set and
forget” decision by end-use customers
22
23. Role of Load Control and Smart Metering (4)
Major Conclusions
• Interval metering is necessary to implement time-varying
pricing
• Interval metering is not necessary to carry out load control
functions – available technology can remotely switch loads
without requiring connection to a meter
• One-way communication (not necessarily through a meter)
is essential to carry out remote switching of loads
• Two-way communication is not essential to carry out remote
switching of loads but it can provide valuable information to the
program operator about the results of the switching
• Metering in some form is required for settlement of the
financial transactions associated with load control programs
23
24. Conclusion
• The IEA DSM Programme project on network-driven DSM
was the first broad and systematic investigation of the
potential for DSM to cost-effectively support electricity
networks
• There have been significant advances since 2008 in the use
of DSM to support electricity networks, particularly in the
technology that is now available
• However, the main findings and conclusions from the
network-driven DSM project are still valid and the project
reports and case studies of network-driven DSM projects
continue to be sources of useful knowledge
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25. Resources
• David Crossley email: dcrossley@raponline.org
• RAP website: www.raponline.org
• IEA DSM Programme website: www.ieadsm.org/
• Network-driven DSM project website :
www.ieadsm.org/ViewTask.aspx?ID=16&Task=15&Sort=0
• Publications from the network-driven DSM project:
www.ieadsm.org/ViewTask.aspx?ID=16&Task=15&Sort=0#ancPubl
ications3
• Database of case studies of network-driven DSM projects:
www.ieadsm.org/TaskXVNetworkDrivenDSMCaseStudiesDatabase.
aspx
• Database of load control and smart metering technology products:
www.ieadsm.org/TaskXVNetworkDrivenDSMLoadManagementDat
abase.aspx
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