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Australia - Smart Energy and M2M

Published: Mar 2015 | No Of Pages: 204 | Published By: BuddeComm
Developments in M2M set to speed up smart grid deployments
 
By making the electricity grid ‘intelligent’ and adding telecoms to it, the power will eventually move away from the electricity companies and be directed towards the customers, who will be able to control their energy consumption through sensors, M2M devices, and the internet of things (IoT). Europe and North America are rated as the most advanced adopters of smart grid and smart metering technology, but the market is expected to shift increasingly towards Asia and the developing world.
 
‘Smart’ means communication, and since many countries are currently addressing their broadband networks it would be a clever move to roll out fast broadband infrastructure in combination with smart grids and, wherever applicable, other smart infrastructure. In that way, energy efficiency measures can be implemented throughout society and throughout the economy (buildings, transport, cities) with a minimum of extra infrastructure, as a trans-sector approach is based on sharing the infrastructure.
 
Unfortunately, one of the major obstacles to smart grid uptake continues to be the lack of good government policies. With all the knowledge we now have, it would almost amount to a criminal offence if this generation were to allow vested interests to prevent us from developing trans-sector policies and holistic initiatives to address energy and environmental concerns. We need to break down those silos and force cooperation between the sectors wherever possible.
 
Significant progress has been made within the industry in Australia in relation to the deployment of smart technologies that, over time, will create a smart national grid.
 
The past five years have seen confusion, resistance and the lack of a strategic approach towards a holistic policy aimed at creating a smarter energy structure that could reduce energy usage by 30%-40% without having a major impact on people’s lifestyle, just by being smarter. But all of the electricity companies in Australia are now involved in the implementation of smart grids – a process that will take a decade, or perhaps several decades, to complete.
 
In the future some $200 billion will be invested overall in the national energy structure (not just smart grids). The first results from projects such as Smart Grid, Smart City indicate that the results greatly exceed expectations; the same applies to companies involved in the smart meter rollout in Victoria. However a holistic government policy continues to be the key to success, rather than the current hodgepodge of policies. Energy is heavily influenced by government regulations and unless these are sorted out it will be difficult for the industry to develop cohesive strategies that will see a more comprehensive approach towards a smarter energy system for the country.
 
With a better understanding of the complexity involved in the transformation of the electricity industry the words ‘smart’ or ‘future’ energy are becoming more prominent. BuddeComm believes that the term ‘smart grids’ is too narrow and that eventually ‘smart energy’ will become the accepted terminology – especially once the communications developments in national mobile and fixed broadband networks start to converge with smart grid developments. As well as this, smart grids have unfortunately become synonymous with smart meters, again leading to too narrow a view of this market.
 
Smart energy signifies a system that is more integrated and scalable, and which extends throughout the distribution system – from businesses and homes and back to the sources of energy. Developments at the edge of the network will increasingly determine its future direction. A smarter energy system has sensors and controls embedded into its fabric. Because it is interconnected there is a two-way flow of information and energy across the network, including information on pricing. In addition to this it is intelligent, making use of proactive analytics and automation to transform data into knowledge and interpretation, and to efficiently manage resources.
 
This links with the telecoms development known as M2M or IoT. For this to happen various functional areas within the energy ecosystem must be engaged: consumers; business customers; energy providers; regulators; the utility’s own operations; smart meters; grid operations; work and asset management; communications; and the integration of distributed resources.
 
With energy consumption expected to grow worldwide by more than 40% over the next 25 years demand in some parts of the world could exceed 100% in that time. This will produce an increase in competition for resources, resulting in higher costs. In an environment like this energy efficiency will become even more important.
 
Quite apart from any increased demand for energy in specific markets, the move to more sustainable technologies – for example, electric vehicles and distributed and renewable generation – will add even more complexity to operations within the energy sector. And, as was mentioned at the COP20 in Lima, technological innovations will have to play a larger role in climate change adaptation.
 
Concerns about issues such as energy security, environmental sustainability, and economic competitiveness are triggering a shift in energy policy, technology and consumer focus. This, in turn, is making it necessary to move on from the traditional energy business model. Renewable energy, linked to distributed energy systems and battery storage, is going to be the game-changer here.
 
As a consequence, electricity utilities could end up in a ‘spiral of death’ situation similar to that of the companies that invested in the building of the internet infrastructure. They may own the means of delivering electricity and associated services, but may not be able to take advantage of the new business opportunities that will arise. This will limit their opportunities for future growth. To avoid this companies should develop a ‘vortex of opportunities’.
 
Another problem will surface when, due to users reducing consumption and producing energy themselves through energy efficiency strategies, the traditional pricing models become inadequate in terms of maintaining the energy infrastructure.
 
The potential for transformation of the energy industry to smart energy is still at a very early stage. Valuable advances have already been made in some areas but consensus needs to be reached regarding a collective approach to interoperability and technical standards.
 
Smart Grid, Smart City – Key findings, recommendations and comments
 
The Smart Grid, Smart City (SGSC) project, which ran from 2010 to 2013 in Newcastle and Sydney CBD areas, was funded by a $100 million injection from the federal government and around $390 million ‘in kind’ or otherwise from the project’s other contributors, which included entities such as Ausgrid, Energy Australia, IBM Australia, the CSIRO and several local councils.
 
Part of the recommendations were that the broader industry should be involved and that the outcomes would be shared.
 
The project was launched in 2010 and is perhaps the most comprehensive smart grid demonstration project undertaken anywhere in the world. The report, published in mid-2014, presents three very detailed smart grid scenarios towards the year 2034. It trialled a range of in-grid and consumer-based smart technologies with electricity suppliers for 17,000 households in order to determine whether there was an economic benefit attached to deploying the technologies across Australia.
 
The overarching outcome of the project is that under a medium scenario smart grids can deliver a national net benefit of $27 billion by 2034 through the development and deployment of smart grid technologies, changing consumer behaviour, energy market reform, and ‘cost reflective’ electricity pricing such as dynamic tariffs.
1. Smart Infrastructure
1.1 Introduction
1.1.1 Customer-driven smart cities
1.1.2 Economy-driven smart cities
1.1.3 Society-driven smart cities
1.1.4 Greenfields Opportunities
1.1.5 Brownfields Challenges
1.1.6 Trends, Developments, Analyses
1.1.7 Smart cities and smart countries - Analysis
1.1.8 Intelligent infrastructure Projects
1.1.9 NBN and Smart Infrastructure
1.1.10 Rolling out infrastructure the smart way
1.2 Smart Grid, Smart City – Key findings, recommendations and comments
1.2.1 Cost benefit stacks up
1.2.2 Grid technologies
1.2.3 The retail market
1.2.4 NBN and ICT
1.2.5 Renewable energy technologies
1.2.6 Key Conclusions and Recommendations
1.2.7 How to move from here?
 
2. M2M – Internet of Things
2.1 Key Global Trends
2.1.1 Key issues that will make or break the M2M market
2.1.2 Internet of ‘Things’ (IoT)
2.1.3 Who will dominate the IoT market?
2.1.4 Telcos and the science of Big Data
2.1.5 From SCaDa to IoT
2.1.6 Sensors
2.1.7 Radio-frequency identification (RFID)
2.1.8 Application examples
2.2 Australian Market
2.2.1 Statistical information
2.2.2 Market and Industry Analyses
2.2.3 Change in services driven by Sensing and monitoring information
2.2.4 Smart Projects
 
3. Smart Grids
3.1 Global Trends and Statistics
3.1.1 Smart grids analysis – Smart Grid 2.0
3.1.2 Smart energy for the future
3.1.3 Smart grid vision
3.1.4 Global smart grid market
3.1.5 Disruptive developments in smart grids
3.1.6 Global smart meter market
3.1.7 Where are the government leaders?
3.1.8 Remember the consumer
3.1.9 A concept, not a single technology
3.2 Australian Market Overview
3.2.1 Smart energy to avoid the spiral of death
3.2.2 Industry Overview
3.2.3 Smart grid – consumer issues
3.2.4 Government initiatives
3.2.5 NUS electricity report and cost survey – 2014
3.2.6 Regulatory framework
3.3 Smart Energy – Trends and Analyses – 2014-2015
3.3.1 COP20 Conference Lima
3.3.2 The G20 energy policy and where this will leave Australia
3.3.3 Industry analysis mid 2014
3.3.4 Disruptive retail plan for renewable energy
3.3.5 Challenges for the future
3.3.6 Delighting and exciting electricity customers
3.3.7 Electricity ‘death spiral’
3.3.8 Energy industry in transition
3.3.9 Storage technologies making progress
3.3.10 Energy retail market developments
3.3.11 People power in the energy market
3.3.12 Key international Developments
3.3.13 Business analyses
3.3.14 Key Analyses Australia
3.3.15 Key developments Australia
3.3.16 Surveys and statistics
3.3.17 Industry reform
3.4 Major Players and Projects
3.4.1 AGL Energy Limited (AGL)
3.4.2 ActewAGL
3.4.3 CitiPower and Powercor
3.4.4 Energex
3.4.5 Ergon
3.4.6 Horizon Power
3.4.7 Hydro Tasmania
3.4.8 Jemena
3.4.9 Network NSW
3.4.10 Origin
3.4.11 Power and Water Corporation
3.4.12 Powerlink
3.4.13 SA Power networks
3.4.14 SP AusNet
3.4.15 TasNetworks
3.4.16 Telstra moving into smart grids
3.4.17 TransGrid
3.4.18 United Energy
3.4.19 Western Power
3.4.20 Global Intelligent Utility Network Coalition (GIUNC)
3.5 Smart Meters
3.5.1 Smart meter update early 2015
3.5.2 The future of smart meters – analysis
3.5.3 What are Smart Meters?
3.5.4 The road from automated meter reading (AMR) and demand side management (DSM) to smart grids
3.5.5 Smart Meters in Victoria - Case Study (separate report)
3.5.6 South Australia
3.5.7 Northern Territory
3.5.8 Western Australia
3.5.9 Queensland
3.5.10 ACT
3.5.11 World first – prepaid electricity through smart grids
3.5.12 Smart Water
Table 1 – National Net Benefit (medium scenario over 20 years)
Table 2 – Importance placed on different priorities relating to electricity supply
Table 3 – Global M2M connections – 2010 - 2015
Table 4 – Global spending on Big Data – 2013; 2018
Table 5 - Telstra M2M statistics
Table 6 - International electricity price table comparison – 2013 - 2014
Table 7 – Value of the global smart grid market – 2012 - 2020
Table 8 – Investment in the global smart grid market – 2012 - 2014
Table 9 – Smart meter installed base – leading countries - 2020
Table 10– Percentage of respondents that rank specific risks related to smart meters and energy data collection in their top three concerns
Table 11 - Percent of respondents who do not know the answer to the specified question or statement
Table 12 - International electricity price table – 2014
Table 13 - Machine-to-machine applications and technologies, by dispersion and mobility
Chart 1 – Global smart grid market at a glance – 2012 - 2020
Exhibit 1 – Shared finding
Exhibit 2 – The first major M2M alliances
Exhibit 3 – The OneM2M initiative
Exhibit 4 – RFID spectrum frequencies and application examples
Exhibit 5 – Smart shopping
Exhibit 6 – Lifetime customer relationships
Exhibit 7 – Many Eyes – e-science web site example
Exhibit 8 – GigaPort3
Exhibit 9 - ITU approves smart grid standards
Exhibit 10 – UN Climate Change Summit – Report from New York City 2014
Exhibit 11 – The G20 Summit and Energy Efficiency – Brisbane 2014
Exhibit 12 – Smart grid applications
Exhibit 13 – Global Smart Grid Federation (GSGF)
Exhibit 14 - International Smart Grid Action Network
Exhibit 15 – Challenges smart grids can address
Exhibit 16 – Field trials led by FINESCE
Exhibit 17 – Smart grid implementation areas
Exhibit 18 – Phased implementation plan of Jeju Smart Grid: 2010 - 2013
Exhibit 19 – Examples of leading smart meter manufacturers
Exhibit 20 – Replacing old electricity meters
Exhibit 21 - Smart grid as a cloud service
Exhibit 22 - Key developments in the industry moving forwards
Exhibit 23 - How to move forwards into 2015
Exhibit 24 - Example - Solar PV
Exhibit 25 - Essential Energy: Smart Grid in Action
Exhibit 26 - Origin Business snapshot - 2013
Exhibit 27 – Non-regulated business (telecoms) activities
Exhibit 28 – Smart grid applications
Exhibit 29 – Smart air-conditioning control
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