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Rajiv Venkatraman | Consultant
How does government and
technology affect our retail
electricity markets?
Government can influence the retail
electricity sector in a number of ways
These can be categorised into
3 broad categories
1. Price regulation
Government controls how much
customers are charged
2. Government ownership
Government influences the market
by controlling electricity assets
3. Public/stakeholder consultation
The way government works with
customers to help them understand
how they are charged in the retail
electricity sector
Influence of government: examples3
LEVER
EXAMPLE
Price Regulation
Government
Ownership &
Market Share
Public and
Stakeholder
Consultation
RESULT
France
Active price
regulation (mainly
households).
Part state-owned
utilities - own most
power infrastructure.
Public outreach
efforts present but
few options available.
Satisfaction levels are
high compared to the
EU average.
Heavily regulated market
with slow innovation albeit
now starting to liberalise
after pressure from the EU.
Australia
Retailers can set
prices within
moderate
regulations.
Minimal state
ownership but
regulator has strong
influence on retailers.
Online tools allow
public to compare
prices but are difficult
to use.
Moderately regulated
market but unattractive
to new entrants and
dominated by vertically
integrated incumbents.
Texas
(USA)
No default supplier
forcing customers to
go to market.
State only provides
oversight.
Price to beat tariff
used to encourage
competition.
Proactive public
information
campaigns raise
awareness.
Singular data hub
allows efficient
switching.
An innovative market with
high customer awareness
and attractive to new
entrants.
Using the examples of three countries – you can see how they lead to different market scenarios
Though…
Technology will in turn effect how
customers are charged for electricity
This can be framed by examining
the scale of disruption from an
individual household level to a
large city or country
Future sources of disruption
Households
Local
Communities
Large Urban Areas
(e.g. cities)
Peer-to-peer energy trading1
• Consumers trade excess energy
generation with one another
• Artificial intelligence helps match
load to generation
Microgrids and machine-to-machine
communication1
• Community batteries/energy generation
systems allow areas to go off grid
• Parts of a network communicate with one
another to ensure efficient energy usage
Shift from ‘consumer’ to ‘prosumer’1
• Use renewable technology (e.g. solar panels to
generate own renewable energy)
• Utilise batteries to store unused energy for later
• Using energy management systems allow efficient
energy consumption
NOTE: Heavy industries differ due to complex loads/requirements (e.g. heat, steam).
Co-generation and renewable energy generation/storage are options to go off grid1.
How does this effect decision-making
for the energy retail market?
A high-level visualisation
Actively plan for
long-term adoption.
Disregard adoption
unless requirement
is overwhelming.
Immediately
capitalise on the
opportunity and
adopt the
technology.
Consider adoption
in the long-term
while ensuring
flexibility to
legislative changes.
Uncertainty/complexity of legislation
Difficultyoftechnologyadoption
Decision-making from both a legislation and
technological perspective can be visualised
as a decision matrix.
Other considerations
• Safety
• Support to maintain and control systems
• Quality of power provided
• Robustness
• Simplicity
• Load profile and system inertia
Now let’s apply this matrix to some
real-life case studies…
Case study: Mallacoota
The isolated, south-east Australian town of
Mallacoota needed alternative power sources
as their sole source of electricity was affected
by bushfire, floods and wildlife/trees4.
Options:
Solar PV, biogas and battery storage to go
off grid5.
Barriers4:
• Access issues to provide support services
• Quality of power provided
• Difficulty to achieve economies of scale
due to population ≈ 1000
Case study: Remote West Australian communities
Remote West Australian communities trialled solar
and battery storage to avoid power outages and
were supported by the local utility provider
(Western Power) which sought alternatives to
replacing poles and wires6.
Options:
Solar and battery storage and early trials indicated
big promises
Barriers:
• Legislation prevented the utility from
generating energy which applied to the
trial and prevented its expansion
• Lack of government direction caused
the trial to be extended by three years
in hope of future legislation changes
Case study: Peer-to-peer energy trading platform
Origin Energy partnered with Perth start-up Power
Ledger to trial peer-to-peer energy trading
platform with historical consumer data7.
Options:
Technology lets consumers trade with one another
self-generated energy, removing the ‘middle men’
(retailers).
Technology is applied mostly in commercial trials.
Barriers:
Wide-spread usage was hindered by the
Australian Energy Markets Commission
who ruled against making network tariffs
flexible8.
How does this impact our
retail electricity markets?
• A gradual overhaul of pricing models
and an uncertain regulatory landscape
impacts how retailers envision their
future energy transition
• New tech start-ups are starting to
challenge incumbents but have limited
commercial success for the moment
• Incumbents are trying to define their
place in the market amid disruptive
technologies and examine new business
models
Threats
• Disruption has created a demand
to solve new problems requiring a
holistic understanding of technology,
economics and politics
• Traditional businesses (i.e. existing
utilities) are being challenged by
new tech start-ups
Opportunities
• Opportunities to work with a new
generation of retailers looking to scale
and enter the broader market
• A chance for industry to support
governments in crafting legislation that
supports an innovative and sustainable
electricity network
DISCLAIMER
This presentation has been prepared by a representative of Advisian.
The presentation contains the professional and personal opinions of the presenter, which are given in good faith. As such, opinions presented herein may not always necessarily reflect the position of
Advisian as a whole, its officers or executive.
Any forward-looking statements included in this presentation will involve subjective judgment and analysis and are subject to uncertainties, risks and contingencies—many of which are outside the
control of, and may be unknown to, Advisian.
Advisian and all associated entities and representatives make no representation or warranty as to the accuracy, reliability or completeness of information in this document and do not take responsibility
for updating any information or correcting any error or omission that may become apparent after this document has been issued.
To the extent permitted by law, Advisian and its officers, employees, related bodies and agents disclaim all liability—direct, indirect or consequential (and whether or not arising out of the negligence,
default or lack of care of Advisian and/or any of its agents)—for any loss or damage suffered by a recipient or other persons arising out of, or in connection with, any use or reliance on this presentation or
information.
FOR MORE INFORMATION CONTACT:
Rajiv Venkatraman | Consultant
P: +61 410 167 552
E: Rajiv.Venkatraman@advisian.com
References
1. Advisian subject matter experts
2. https://engage.vic.gov.au/application/files/7415/0267/4425/Retail_Energy_Revie
w_-_Final_Report.pdf
3. https://www.energy.vic.gov.au/__data/assets/pdf_file/0024/79161/KPMG-
Energy-Retail-Markets-analysis-final-7-April.pdf
4. http://mallacootacommunitydirectory.info/images/mseg/1403_enhar_mallacoot
a_sustainable_energy_synopsisv4.pdf
5. http://mallacootacommunitydirectory.info/mallacoota-sustainable-energy
6. http://www.abc.net.au/news/2017-09-18/living-off-solar-and-lithium-batteries-
big-success-wa-farmers/8954740
7. http://reneweconomy.com.au/origin-energy-trials-solar-trading-blockchain-
start-power-ledger-91263/
8. http://reneweconomy.com.au/nsw-coalition-supports-peer-to-peer-trading-for-
solar-households-42663/
Advisian / 19

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How does government and technology affect our retail electricity markets?

  • 1. www.advisian.com Rajiv Venkatraman | Consultant How does government and technology affect our retail electricity markets?
  • 2. Government can influence the retail electricity sector in a number of ways
  • 3. These can be categorised into 3 broad categories
  • 4. 1. Price regulation Government controls how much customers are charged 2. Government ownership Government influences the market by controlling electricity assets 3. Public/stakeholder consultation The way government works with customers to help them understand how they are charged in the retail electricity sector
  • 5. Influence of government: examples3 LEVER EXAMPLE Price Regulation Government Ownership & Market Share Public and Stakeholder Consultation RESULT France Active price regulation (mainly households). Part state-owned utilities - own most power infrastructure. Public outreach efforts present but few options available. Satisfaction levels are high compared to the EU average. Heavily regulated market with slow innovation albeit now starting to liberalise after pressure from the EU. Australia Retailers can set prices within moderate regulations. Minimal state ownership but regulator has strong influence on retailers. Online tools allow public to compare prices but are difficult to use. Moderately regulated market but unattractive to new entrants and dominated by vertically integrated incumbents. Texas (USA) No default supplier forcing customers to go to market. State only provides oversight. Price to beat tariff used to encourage competition. Proactive public information campaigns raise awareness. Singular data hub allows efficient switching. An innovative market with high customer awareness and attractive to new entrants. Using the examples of three countries – you can see how they lead to different market scenarios
  • 6. Though… Technology will in turn effect how customers are charged for electricity
  • 7. This can be framed by examining the scale of disruption from an individual household level to a large city or country
  • 8. Future sources of disruption Households Local Communities Large Urban Areas (e.g. cities) Peer-to-peer energy trading1 • Consumers trade excess energy generation with one another • Artificial intelligence helps match load to generation Microgrids and machine-to-machine communication1 • Community batteries/energy generation systems allow areas to go off grid • Parts of a network communicate with one another to ensure efficient energy usage Shift from ‘consumer’ to ‘prosumer’1 • Use renewable technology (e.g. solar panels to generate own renewable energy) • Utilise batteries to store unused energy for later • Using energy management systems allow efficient energy consumption NOTE: Heavy industries differ due to complex loads/requirements (e.g. heat, steam). Co-generation and renewable energy generation/storage are options to go off grid1.
  • 9. How does this effect decision-making for the energy retail market?
  • 10. A high-level visualisation Actively plan for long-term adoption. Disregard adoption unless requirement is overwhelming. Immediately capitalise on the opportunity and adopt the technology. Consider adoption in the long-term while ensuring flexibility to legislative changes. Uncertainty/complexity of legislation Difficultyoftechnologyadoption Decision-making from both a legislation and technological perspective can be visualised as a decision matrix. Other considerations • Safety • Support to maintain and control systems • Quality of power provided • Robustness • Simplicity • Load profile and system inertia
  • 11. Now let’s apply this matrix to some real-life case studies…
  • 12. Case study: Mallacoota The isolated, south-east Australian town of Mallacoota needed alternative power sources as their sole source of electricity was affected by bushfire, floods and wildlife/trees4. Options: Solar PV, biogas and battery storage to go off grid5. Barriers4: • Access issues to provide support services • Quality of power provided • Difficulty to achieve economies of scale due to population ≈ 1000
  • 13. Case study: Remote West Australian communities Remote West Australian communities trialled solar and battery storage to avoid power outages and were supported by the local utility provider (Western Power) which sought alternatives to replacing poles and wires6. Options: Solar and battery storage and early trials indicated big promises Barriers: • Legislation prevented the utility from generating energy which applied to the trial and prevented its expansion • Lack of government direction caused the trial to be extended by three years in hope of future legislation changes
  • 14. Case study: Peer-to-peer energy trading platform Origin Energy partnered with Perth start-up Power Ledger to trial peer-to-peer energy trading platform with historical consumer data7. Options: Technology lets consumers trade with one another self-generated energy, removing the ‘middle men’ (retailers). Technology is applied mostly in commercial trials. Barriers: Wide-spread usage was hindered by the Australian Energy Markets Commission who ruled against making network tariffs flexible8.
  • 15. How does this impact our retail electricity markets?
  • 16. • A gradual overhaul of pricing models and an uncertain regulatory landscape impacts how retailers envision their future energy transition • New tech start-ups are starting to challenge incumbents but have limited commercial success for the moment • Incumbents are trying to define their place in the market amid disruptive technologies and examine new business models
  • 17. Threats • Disruption has created a demand to solve new problems requiring a holistic understanding of technology, economics and politics • Traditional businesses (i.e. existing utilities) are being challenged by new tech start-ups Opportunities • Opportunities to work with a new generation of retailers looking to scale and enter the broader market • A chance for industry to support governments in crafting legislation that supports an innovative and sustainable electricity network
  • 18. DISCLAIMER This presentation has been prepared by a representative of Advisian. The presentation contains the professional and personal opinions of the presenter, which are given in good faith. As such, opinions presented herein may not always necessarily reflect the position of Advisian as a whole, its officers or executive. Any forward-looking statements included in this presentation will involve subjective judgment and analysis and are subject to uncertainties, risks and contingencies—many of which are outside the control of, and may be unknown to, Advisian. Advisian and all associated entities and representatives make no representation or warranty as to the accuracy, reliability or completeness of information in this document and do not take responsibility for updating any information or correcting any error or omission that may become apparent after this document has been issued. To the extent permitted by law, Advisian and its officers, employees, related bodies and agents disclaim all liability—direct, indirect or consequential (and whether or not arising out of the negligence, default or lack of care of Advisian and/or any of its agents)—for any loss or damage suffered by a recipient or other persons arising out of, or in connection with, any use or reliance on this presentation or information. FOR MORE INFORMATION CONTACT: Rajiv Venkatraman | Consultant P: +61 410 167 552 E: Rajiv.Venkatraman@advisian.com
  • 19. References 1. Advisian subject matter experts 2. https://engage.vic.gov.au/application/files/7415/0267/4425/Retail_Energy_Revie w_-_Final_Report.pdf 3. https://www.energy.vic.gov.au/__data/assets/pdf_file/0024/79161/KPMG- Energy-Retail-Markets-analysis-final-7-April.pdf 4. http://mallacootacommunitydirectory.info/images/mseg/1403_enhar_mallacoot a_sustainable_energy_synopsisv4.pdf 5. http://mallacootacommunitydirectory.info/mallacoota-sustainable-energy 6. http://www.abc.net.au/news/2017-09-18/living-off-solar-and-lithium-batteries- big-success-wa-farmers/8954740 7. http://reneweconomy.com.au/origin-energy-trials-solar-trading-blockchain- start-power-ledger-91263/ 8. http://reneweconomy.com.au/nsw-coalition-supports-peer-to-peer-trading-for- solar-households-42663/ Advisian / 19

Notes de l'éditeur

  1. THEN SHOW DETAILED TABLE: We can see how these levers operate using the examples of 3 different countries (France, Australia and Texas) to see how they lead to different market scenarios and understand how Australia fits in the global context i.e. see that Australia sits somewhere in the middle between extreme regulation and relaxed regulation
  2. Now I’ve showcased a theoretical matrix with different scenarios that can result, next lets apply it to some case studies to see it in action
  3. While the difficulties involved put it in the top right: Origin-Power Ledger partnership is attempting to push to the left by using the trial to give the regulator confidence in the technology who would be more inclined to relax regulations in this area Peer to peer energy trading platform: FRAMING: Origin Energy and Perth start up Power Ledger announced partnership to trial their software, success would mean consumers can trade energy with one another TECHNOLOGY: The required technology had not been used on a large scale and mostly limited to small scale trials GOVERNMENT: The governing regulator (Australian Energy Markets Commission) put an obstacle to any roll out of the technology by preventing networks tariffs to be more flexible RESULT Therefore: should be top right of matrix (But the partnership’s purpose was to give government confidence and make them conducive to relaxing regulations and reducing uncertainty). That’s why I have the arrows to show pushing to the left (BUT: I think remove the arrows as it might be unecessary since I can’t speak to them anyway)