1. ยฉ OECD/IEA 2015ยฉ OECD/IEA 2015
New data sources in energy systems
Green Growth and Sustainable Development Forum
Luis Munuera, PhD
Energy Technology and Policy Division
International Energy Agency
2. ยฉ OECD/IEA 2015
Reaching 2ยฐC requires a drop in the carbon intensity of
energy, which has been stable for 50 years
Data from Boden et al. (2013), Smil (2010) and IEA (2015)
3. ยฉ OECD/IEA 2015
The energy sector innovates slowlyโฆ
Data from Smil (2010) and IEA (2015), 2DS scenario
4. ยฉ OECD/IEA 2015
โฆand electricity systems are
particularly late adopters
% of distribution grids older than 40 years
5. ยฉ OECD/IEA 2015
Alternative and distributed energy is
accelerating
๏ฎ Decentralised energy taking off โ
and geography shifting
๏ฎ Non-OECD countries overtake
distributed PV in OECD in 4-5
years
๏ฎ Global EV deployment close to on
track for two-degree pathway
6. ยฉ OECD/IEA 2015
Batteries
Smart
meters
Smart metering becoming mainstream,
residential-scale batteries are next
Consumers increasingly looking for more control, insight on their energy use
7. ยฉ OECD/IEA 2015
Future energy systems are more
diverse, dynamic, localised
First generation smart metering,
uncontrollable DG
Second generation smart metering,
smart charging, smart DG
Distributed โintelligenceโ with local
control, local balancing/markets
Existing data in standard
operations
Behavioral, demographic, smart
home, internet of things
IT/OT mainstreaming
(data volume x2 every 2 years)
Today
~3 Zb
8. ยฉ OECD/IEA 2015
Future energy systems are more
diverse, dynamic, localised
First generation smart metering,
uncontrollable DG
Second generation smart metering,
smart charging, smart DG
Distributed โintelligenceโ with local
control, local balancing/markets
Existing data in standard
operations
Behavioral, demographic, smart
home, internet of things
IT/OT mainstreaming
(data volume x2 every 2 years)
Today
~3 Zb
Physical network layer: Improved
operations and grid planning
EWE, Germany
9. ยฉ OECD/IEA 2015
But systemic gaps along the innovation
chain need to be addressed
๏ง Institutional and technical: How to accelerate demonstration and
deployment for regulated, built-up systems?
๏ง Only in Europe, 107
kilometers of distribution networks...
โข Overseen by 2,400 DSOs, 200 of them with more than 100k customers.
๏ง Centralised infrastructure, centralised energy markets, not standardised
10. ยฉ OECD/IEA 2015
๏ง Behavioral: How will consumers adopt and react to
technologies that bring them closer to their energy use?
๏ง Relationship between energy utilities and telcos?
๏ง Data security
๏ง Data privacy, access and ownership
But systemic gaps along the innovation
chain need to be addressed
Editor's Notes
Prosumers and positive energy communities
Integrate EVs
A lot more information on what is happening in the energy system -> an increase in orders of magnitude
But we know energy is one of those sectors where you canโt rip everything out and start over. Difficult and costly to physically expand grids
How does this interact in practice?
Key triggers to data growth
๏ Improve the reliability and resiliency of electric grid ๏ Optimize the asset management and operations costs ๏ Share the data/intelligence for improved decision making ๏ Integrate legacy systems for improved data flow ๏ Improved data analytics and enterprise intelligence
Situational Awareness/Predictive Forecasting
Safety: with radio frequency communication layer, North America customers are becoming reluctant about installation of Smart Meters, which they consider being a risk for their health. Rightly or wrongly (depending on the technology used), this concern would have to be taken into account for Internet of Things generalization.
Security: Whether using encryption for data exchanges or avoid any system intrusions to access to remote controls (disconnect Smart Meter), security is a major issue for massive deployment of Smart Meters. Internet of Things will be confronted to this major concern for example when health or Smart Cities services rely on the devices.
Privacy: Data access and use of the data collected are subject to numerous debates regarding Smart Meters: you may deduct when you are eating, whether you are at home or not, etc ... The data is available, you simply need to interpret it. Internet of Things will have to provide answers to this question in order to avoid rejection in some cases.
Roles and responsibilities have to be clear
Standardisation is a key factor for success โ Automation -> less faults / human mistakes โ Neutrality โ Costs-efficiency โข Access to data has to be easy and neutral for all stakeholders โ Of course by ensuring data privacy and security