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ENERGIA DIGITALE Infrastrutture, modelli di business e ruolo del consumatore
ROMA, 20 SETTEMBRE 2017
Franco D’Amore Stefano da Empoli Gloria Marcotullio Silvia Compagnucci
Agenda
(R)Evolution in the energy sector
Smart infrastructures
ICT & energy: possible synergies
Open issues
2
Agenda
(R)Evolution in the energy sector
Smart infrastructures
ICT & energy: possible synergies
Open issues
3
(R)evolution in the Energy sector – SDG7
1.06 billion people, predominantly rural dwellers,
still function without electricity. Half of those
people live in sub-Saharan Africa
More than 3 billion people, the majority of them in Asia and sub-Saharan Africa, are still cooking without clean
fuels and more efficient technologies.
SDG7 Ensure access to affordable, reliable,
sustainable and modern energy for all
0 1 000 000 2 000 000 3 000 000 4 000 000 5 000 000 6 000 000 7 000 000 8 000 000 9 000 000
10 000 000
2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
world population (thousands)
Rural
Urban
Source: I-Com on UN data
+ 2.2 billion in next 35 years; mostly gained by cities; mostly in Asia &
Africa
4
(R)evolution in the Energy sector – Paris Agreement
Paris Agreement
To keep global temperature rise well below 2 degrees
Celsius above pre-industrial levels and to pursue efforts
to limit the temperature increase even further to 1.5
degrees Celsius To strengthen the ability of countries to deal with the impacts of climate change
To make available financial flows to develop a low greenhouse gases path
5
18.000
20.000
22.000
24.000
26.000
28.000
30.000
32.000
34.000
36.000
38.000
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040
Mt
Global CO2 emissions reduction in the New policies scenario and 450 scenario
Efficiency Renewables Fuel switching Nuclear CCS Other 450 Scenario New policies scenario
(R)evolution in the Energy sector – World CO2 emissions
Source: I-Com on IEA data
6,440 Mt
6,200 Mt
6
(R)evolution in the Energy sector - European state of art in the energy sector
The EU has set targets for reducing its greenhouse gas emissions progressively up to 2050. According to the transformation towards a low-carbon economy, key climate and energy targets are set in the 2020 climate and energy package and 2030 climate and energy framework.
2020 2030 2050
Binding legislation. Key targets:
• 20% cut in greenhouse gas emissions (from 1990 levels);
• 20% of EU energy from renewables;
• 20% improvement in energy efficiency.
The EU has taken action in several areas to meet the targets.
The framework was adopted by EU leaders in October 2014.
Key targets: • At least 40% cuts
in greenhouse gas emissions (from 1990 levels);
• At least 27% share for renewable energy;
• At least 27% improvement in energy efficiency.
The low-carbon economy roadmap suggests :
• To cut greenhouse gas emissions to 80% below 1990 levels;
• All sectors need to contribute
• The low-carbon transition is feasible & affordable.
7
(R)evolution in the Energy sector - European GHG Emissions
Source: I-Com on Primes (2016) data
0
10
20
30
40
50
60
70
80
90
100
2005
=100
EU ETS emissions
ETS sectors GHGemissions
Primes forecasts ETS GHGemissions
Target ets 2020
Targert ets 2030
0
10
20
30
40
50
60
70
80
90
100
2005
2010
2015
2020
2025
2030
2035
2040
2045
2050
2005
=100
EU non-ETS emissions
ESD sectors GHGemissions
Primes forecasts non-ETSGHG emissions
target non-ets 2020
target non-ets 2030
8
Agenda
(R)Evolution in the energy sector
Smart infrastructures
ICT & energy: possible synergies
Open issues
9
Infrastructure in modern society
Efficient infrastructure systems are key elements of modern societies and ensure the delivery of everyday life flow of goods and services that are at the basis of human progress and welfare.
Mobility Water Communication Electricity
Infrastructures are made by physical objects (wires, streets, bridges, pipes, ….) and a control system (sensors, data acquisition, elaboration and transmission). The physical part enables the flow of goods and services to final users, the control systems enable the proper management (e.g. efficient and safe)
10
Global investments in infrastructures
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
520
0720
0820
0920
1020
1120
1220
1320
1420
1520
1620
1720
1820
1920
2020
2120
2220
2320
2420
2520
2620
2720
2820
2920
3020
3120
3220
3320
3420
3520
3620
3720
3820
3920
40
Infrastructure investments [T$]
Current trends Investment need
investment need scenario is based on the investment that would occur if countries were to match the performance of their best performing peers
Source: Global Infrastructure Outlook (2017)
0,00%0,20%0,40%0,60%0,80%1,00%1,20%1,40%
investment trends 2016-2040 as % of GDP
current trands
investment need
36%
13%
3% 2%
10%
29%
7%
investment share by sector (2015; total=2,3 T$)
Electricity
TelecommunicationTransport:AirportTransport:PortsTransport: Rail
Transport:RoadWater
Average yearly investments in the electricity sector: ̴̴1T$ 11
EU investments in infrastructures
Source: Global Infrastructure Outlook (2017)
0
10
20
30
40
50
60
70
80
90
road rail airports ports telecoms electricity water
average 2016-2040 yearly investments [G$; investment need scanario]
France Germany Italy Poland Romania Spain UK
Average EU yearly investments in the electricity sector: ̴̴80 G$ ( ̴̴30% of total)
12
Dumb vs. intelligent infrastructures
Physical layer
Digital (cyber) layer
Dumb infrastructure: unable to communicate, adapt to external conditions and connect to other networks
Physical layer Digital (cyber) layer
SMART
Intelligent infrastructure: collect info on the state of the infrastructure, elaborate data and interact with costumers/providers
Source: Cambridge Centre for Smart Infrastructure and Construction 13
Intelligent vs. smart infrastructures An Intelligent infrastructure collects and processes data into real-time actionable information, which is then used by itself or a human operator (service provider/customer) in making optimal decisions
A smart infrastructure collects and processes data, takes autonomous and appropriate actions, that are dynamic and adaptive to changing conditions. The interaction with costumers is real-time and ubiquitous.
Source: Smart Infrastructure and Construction Volume 170 Issue SC1 (2017)
Infrastructure (physical + digital) user supervisor
Service/good info
info
action
user supervisor
Service/good info
Infrastructure (physical + digital)
info
action action
14
From traditional energy infrastructure…..
GENERATION TRANSMISSION DISTRIBUTION
Power infrastructure
CONSUMER
POWER EXCHANGE PLATFORM SUPPLIERS
Power flow Grid status data flow Financial data flow Consumption & billing data flow
15
…..to smart energy infrastructure
GENERATION TRANSMISSION DISTRIBUTION PROSUMER
POWER EXCHANGE PLATFORM
SUPPLIERS
Power flow Grid status data flow Financial data flow Consumption & billing data flow Energy services
STORAGE STORAGE
D-GENERATION < ΔT
STORAGE
16
Agenda
(R)Evolution in the energy sector
Smart infrastructures
ICT & energy: possible synergies
Open issues
17
OECD (2011)
• Increase the share of renewable energy in the
electricity mix • Integrate distributed, small-scale electricity
generation • Transmission and distribution grid
management • Increase electricity storage capacities • Dynamic and real-time pricing for electricity
consumption and distributed generation • Electricity conservation and energy-efficiency • Demand management • Integration of electric vehicles (and renewable
energy sources)
EU 2030 targets and beyond
• ICT is a key enabling factor for achieving EU target for a sustainable, secure and competitive energy system.
• It will play a central role in reshaping the energy sector to meet, by 2030 40% cut in GHG emissions compared to 1990 27% share of renewable energy consumption 27% energy savings compared to BAU scenario
SDG 7
ICT can give a remarkable contribution to “ensure access to affordable, reliable, sustainable and modern energy for all”
Smart energy infrastructures: main drivers for improving ICT applications in the energy sector
Source: ICT Applications for the Smart Grid - Opportunities and policy implications (OECD – 2011) SDGs & ICT (The Earth Institute – Columbia University – and Ericsson - 2016) 18
Digital energy: from buzz to business
Source: IEA (2017)
0
100
200
300
400
500
600
700
800
2000
2005
2010
201420152016
global power sector investments [G$]
network
generation
Global energy investments: 700 Billion $ in 2016
(40% in networks)
0
50
100
150
200
250
300
2014 2015 2016
spending on electricity networks [G$]
other
digital grid infrastructure
11% of the total 2016 grid investments (280 billion $) are in digital infrastructures (+50% compared to 2015)
0
10
20
30
40
50
60
2014 2015 2016
world investments in digital infrastructure - electricity sector [G$]
electricity system software
industrial energymanagement softwarebuilding energy controls
EV chargers
smart grid infrstructure
smart meters
total investments in digital energy reached 48 billion $ in 2016
19
EU Energy infrastructure in figures
UE TRANSMISSION SYSTEM ~ 300.000 km 394 AC + 29 DC cross frontier interconnections 10.713 DSO-TSO interconnection points (primary substations)1
41 operators in 34 Countries (considering ENTSO-E borders) 1: refers to 27 EU Countries
UE DISTRIBUTION SYSTEM ~ 10.000.000 km 4.000.000 M&L voltage transformers (secondary substations) 1857 operators (198 with more than 100.000 costumers) ~ 260.000.000 power meters
Source: ENTSO-E, Statistical Factsheet (2016) Euroelectric, Power Distribution in Europe. Facts & Figures Eurostat (2017)
UE POTENTIAL PROSUMERS ~ 220.000.000 households (2016) ~ 26.000.000 active enterprises (2014 – missing data from Greece)
UE POWER GENERATION
?
20
Key ICT technologies for digital energy
DATA MANAGEMENT (process of data)
CONNECTIVITY (flow of data)
SENSORS & ACTUATORS
(source of data & automation)
• Storage • Analytics & intelligence • Protection & security
• Environment conditions • Device status control • Smart meter • Actuators
• HAN • LAN • WAN • WIRE / WIRELESS • Broadband
MtM / IoT +
Big data
SENSORS & ACTUATORS
21
Sensors & actuators: Main enabling factor: advancement in the semiconductor industry (miniaturization, cost reduction, performance such as elaboration, storage capacity, energy) SENSORS: involve a transducer (converting physical properties in electrical signals) + AD converter (e.g. electric signal to 16 bit number) + communication unit + (depending on the complexity) data storage + elaboration capacity ACTUATORS: communication unit + DA converter + transducer (converting electrical signal into physical changes) + (depending on the complexity) data storage + elaboration capacity TAGS: identify physical objects (can be a device, such as RFID or physical, e.g. QR-code)
Sensors and actuators represent 7% of the global semiconductor sales (10 G$) and is the fastest growing segment, increasing 23% compared to the previous year. Many analysts agree that this segment will experience a step increase in the next future due to IoT applications.
Source: Semiconductor Industry Association (2017) and World Semiconductor Trade Statistics (2017)
27%
23% 18%
3%
29%
Global semiconductor industry sales by category [2016 =338,9 G$]
Logic Memory Micor-Ics Sensors and actuators other
19%
10%
10% 61%
Global semiconductor industry sales by country [2016 =338,9 G$]
Americas Europe Japan Asia Apcific
22
Semiconductor industry patents: Number of Patents Granted 2015 by US Patent Office - Semiconductor Devices and Manufacture
Source: US Patent Office (2017)
32%
26%
14%
12%
1% 3%
4%
2% 1%
1% 4%
U.S.
JAPAN
KOREA, SOUTH
TAIWAN
SINGAPORE
CHINA
GERMANY
FRANCE
UNITED KINGDOM
ITALY
RoW
Share by Regions ASIA: 57% US: 32% Top 4 UE: 7% ROW: 4%
23
Sensors & actuators: some emerging applications in the energy sector
“Industrial” applications (transmission & distribution): - monitoring real-time grid status; monitoring
transient events and fault detection - Substation condition-based management
- Line / substation dynamic rating
“Retail” applications - Smart metering (AMI)
- IoT
Phasor Measurement Unit (PMU) GPS synchronized V/I/φ measurement at 30-60 Hz
Measurement of a set of multiple parameters to determine maintenance needs (minutes/days sampling rate)
Measurement of a set of multiple parameters to determine “real-time” transmission line capacity
From more time resolved power consumptions (e.g. each 15 min. instead of once/twice a month) to more advanced energy management services (e.g. dynamic pricing and load management/control)
Integrating energy consumption data with other environmental parameters; interact with home appliances
24
Connectivity Energy infrastructures has a wide variety of geographical scale topology, ranging from Regional to home, and implies point as well as linear physical objects. The “density” of these objects can be very different.
Communication patterns can be very different (one-to-one; one-to-many; many-to-one)
Also communication requirements in terms of bandwidth, latency, accuracy and security are very different
Figure: ANISA (2015) 25
Networks
Each communication channel has to take into account the physical limits on bit-rate and distance (+ costs of deployment) of the network. Communication networks are based on wired or wireless technologies.
HAN
IAN
BAN
M
M
M
M: meter
Zigbee
PLC
Z-Wave
Wi-Fi
C
C: concentrator
M
PLC
WI-MAX
4G
3G/LTE/4G
D
D: Data Center
X-DSL
WI-MAX
LAN WAN
technology Bit-rate range
Zigbee 250 kbps 10-100 m
Z-Waves 0,1 Mbps 10-100 m
WI-FI 1-150 Mbps Up to 100 m
NB-PLC Up to 500 kbps Several Km
BB-PLC Up to 200 Mbps Several Km
WI-MAX Up to 100 Mbps Up to 50 Km
3G Up to 20 Mbps Up to 50 Km
4G Up to 128 Mbps Up to 50 Km
X-DSL Up to 100 Mbps Few Km
26
KEY CONNECTIVITY ISSUES FOR DIGITAL ENERGY APPLICATIONS
Bandwidth doesn’t seem to be the key issue up to now (with the exception of some specific real time grid control application)
INTEROPERABILITY & STANDARDS
SECURITY
WHAT ROLE FOR 5G?
27
mobile data volumes
1,000 times greater than
today’s
battery life of remote cellular
devices stretched to 10 years or more
data rates up to 100 times faster
(more than 10 Gbps)
network latency lowered by a factor of five
increase of the number of devices connected to the
network (1 mln per 1 sq km)
possibility of use of several bands (from
400 MHz to 100 GHz)
5G opportunities
28
Fonte: 5G empowering vertical sectors, 5G PPP
5G: innovative digital use cases
29
Connected devices & data traffic outlook
CAGR 2016-2021 M2M 19% smartphones 11% TOTAL 10%
0
5
10
15
20
25
30
2016 2021
Connected devices [billions]
M2M
Smartphones
Non-Smartphones
TVs
PCs
Tablets
Other
0,0
50,0
100,0
150,0
200,0
250,0
300,0
2016 2021
Global internet traffic by device [Hexabyte/month]
M2M
Smartphones
Non-Smartphones
TVs
PCs
Tablets
Other
M2M connection grow but has a limited impact on internet traffic (dominated by video applications)
Source: CISCO The Zettabyte Era: Trends and Analysis (2017) 30
M2M Connected devices outlook
Source: CISCO The Zettabyte Era: Trends and Analysis (2017)
46%
30%
7%
6%
5% 2% 2%
1% 1%
Global M2M connected devices (2021, total ~14 billion)
Connected Home
Connected Work
Connected Health
Connected Cities
Connected Car
Retail
Mfg and Supply Chain
Energy
Other
0%
5%
10%
15%
20%
25%
30%
35%
CAGR (2016-2021)
Connected Home
Connected Work
Connected Health
Connected Cities
Connected Car
Retail
Mfg and Supply Chain
Energy
Other
31
Data Management Depending on the sampling rates, number of parameters detected and overall number of sensors/actuators, digital energy will produce a remarkable amount of digital data. This data have to be processed in order to extract useful information and transfer valuable knowledge to end-users or economic/institutional actors
variety
value
volume
velocity
validity
5V for BIG DATA
MANAGEMENT + security
32
Data Market Value in EU (1/2)
22%
22%
12%
8%
6%
5%
4%
3%
3%
15%
United Kingdom Germany France Italy Netherlands
Spain Sweden Poland Belgium RoEU
22%
20%
14%
11%
10%
6%
4%
4% 3%
3% 3% 0%
Mining, Manufacturing Financial services Professional services Retail and wholesale
Information & communications Public administration Transport and storage Utilities
Home Healthcare Education Construction
Total value 2016: ~ 60 billion € (utility: 2,5 billion €)
Source: I-Com on IDC data (2017) 33
Data Market Value in EU (2/2)
0
20.000
40.000
60.000
80.000
100.000
120.000
2013 2014 2015 2016 2017 2018 2019 2020BaselineScenario
2020 HighGrowthScenario
Data Market Value [M€]
RoEU
Belgium
Poland
Sweden
Spain
Netherlands
Italy
France
Germany
United Kingdom
Total value 2020: 80 – 107 billion € (CAGR 2020/2016: 7,5% - 15,7%)
Source: I-Com on IDC data (2017) 34
Big Data analysis (1/2)
0
5
10
15
20
25
30
35
40
All enterprises, withoutfinancial sector
Electricity, gas, steam, airconditioning and water supply
ICT
Retail trade
0102030405060708090
100
All enterprises, withoutfinancial sector
Electricity, gas, steam, airconditioning and watersupplyICT
Retail trade
Analyze Big Data from any data source (% of all firms > 10 employees)
Analyze Big Data from social media (% of firms analyzing Big data)
0102030405060708090
100
All enterprises, withoutfinancial sector
Electricity, gas, steam, airconditioning and watersupplyICT
Retail trade
Analyze Big Data from smart device & sensors (% of firms analyzing Big data)
Source: I-Com on EUROSTAT data (2017) 35
Big Data analysis (2/2)
0
10
20
30
40
50
60
70
80
90
100
All enterprises, without financialsector
Electricity, gas, steam, airconditioning and water supply
ICT
Retail trade
0
10
20
30
40
50
60
70
80
90
100
All enterprises, without financialsector
Electricity, gas, steam, airconditioning and water supply
ICT
Retail trade
Outsourcing (% of all firms > 10 employees) In-house (% of all firms > 10 employees)
Source: I-Com on EUROSTAT data (2017) 36
Consumers’ participation in the energy market
Digitalization in the energy sector, what
does it means?
App for energy
DSM & Dynamic pricing
Gamification
Block chain
Energy Crowdfunding
37
Consumers’ participation in the energy market – state of art of demand response & dynamic pricing
Source: SEDC, ACER/CEER
Explicit Demand Response state of art in Europe - 2015
Implicit Demand Response state of art in Europe - 2015
38
Consumers’ participation in the energy market – apps for energy
Elemize Promotes energy efficiency through cloud analysis and communication in real time of a building’s energy consumption, resulting in an energy saving strategy
Energy cost calculator Equation-based system that calculates energy costs. The app uses several equations to calculate the cost of an electronic item. The app show users their energy usage per day, week, month and year as well as the carbon emission per year
Green outlet Allows consumers to figure out what appliances in the house use the most energy. After entering some personal data, the app will calculate the average monthly cost
Lotus greens carbon calculator
Seeks to ensure that the goals of urban development and environmental sustainability are met, helping people to understand how different aspects of their lifestyle and consumption habits affect their personal carbon emissions
Nest Adjusts the temperature according to actual needs and turns off heating in the case of long absences
Watty app Shows how much energy each appliance is using in real time. This helps people to make smart decisions about their energy consumption and gives them the ability to choose what to switch off
39
Consumers’ participation in the energy market – gamification
Gamification (The use of elements
borrowed from the games and game design
techniques in context outside the games).
The huge amount of data available through smart meters can be used to
plan gamification strategy related to energy use,
management and storage.
For example Opower launched a program with Facebook, that involves clients on a voluntary
basis in a “competition” with other customers for
consuming less energy
40
Consumers’ participation in the energy market – the block-chain
Source: PWC (2016)
Blockchain Digital contract
permitting an individual party to conduct and bill a transaction (e.g. a sale
of electricity) directly (peer-to-peer) with
another party. The peer-to-peer concept means that all transactions are stored on a network of computers consisting of
the computers of the provider and customer
participating in a transaction, as well as of the computers of many
other network participants. For example, in Brooklyn, LO3 Energy and Siemens has created a pilot microgrid using
blockchain technology. Residents with solar panels can sell excess energy back to their neighbors, in a peer-to-peer transaction which takes advantage of blockchain.
41
Consumers’ participation in the energy market – (energy) crowdfunding
Crowdfunding
Financial platforms
Lending platforms (money are raised online and investors are repaid
and remunerated over time as a function of the
revenues generated)
Equity crowdfunding (investors became partners
of the new organization)
Hybrid platforms (investors choose among
different investing options as Bonds, company equity, share of local cooperatives,
debts instruments)
Non financial/donation
platforms (strongly socially oriented,
e.g. rural electrification)
Up to October 2015 the energy crowdfunding sector
has overall raised about € 165 million (0,75% of the
crowdfunding volume cumulated worldwide roughly over the same
period of time; 0,02% of 2015 total energy investments)
42
Agenda
(R)Evolution in the energy sector
Smart infrastructures
ICT & energy: possible synergies
Open issues
43
Questioni chiave (1/3)
• Oltre ai citati benefici della digitalizzazione dell’energia per tutti gli attori della filiera energetica (produttori, gestori delle reti di trasmissione e distribuzione, retailer, utenti finali), esistono altre sinergie possibili?
• Quali ulteriori considerazioni possono essere fatte rispetto ai profili di criticità? • La digital energy può essere uno dei tasselli fondamentali per il conseguimento degli
obiettivi di sostenibilità dei settori non-ETS? Se sì, quali le condizioni per sfruttare questo potenziale?
• La regolazione del settore energetico e del settore ICT, è in grado di favorire i processi di contaminazione dei due settori, o esistono degli ostacoli che andrebbero rimossi?
• Come gestire in maniera ottimale gli ingenti flussi di dati che la digitalizzazione dell’energia comporta (in-house vs. outsourcing; piattaforme aggregatrici vs. open access)?
• Come rendere più attrattivo il settore energetico europeo per gli investimenti in digital energy?
• Specularmente, come favorire la competitività delle imprese che operano nel settore della digital energy rispetto a mercati non-europei?
44
Questioni chiave (2/3)
• Si ritiene che la differenziazione dei canali di contatto e la diffusione delle app sostengano effettivamente il processo di “capacitazione” del cliente finale dell’energia?
• Quali spazi per sinergie tra operatori energetici e operatori del mondo digitale (in particolare start-up innovative)?
• Quali sono le reali prospettive di meccanismi innovativi quali il crowdfunding per il reperimento dei fondi e della blockchain nella gestione “disintermediata” delle transazioni all’interno del settore energetico?
45
Questioni chiave (3/3)
• Quali sono ad oggi gli ostacoli normativo-regolamentari da abbattere a livello europeo per favorire lo sviluppo del 5G?
• La gestione dello spettro rappresenta uno dei temi senza dubbio più caldi. La presenza di politiche di gestione delle risorse frequenziali diverse a livello di singoli stati membri rappresenta senza dubbio un vulnus per l’Unione in un’ottica di competizione col resto del mondo. Quali possono essere le azioni da compiere per far sì che l’Europa conquisti un ruolo da protagonista nello sviluppo del 5G?
• Quali sono gli ostacoli tecnici da risolvere? • Quali si ritiene saranno i primi ambiti di applicazione del 5G e quali i reali benefici per il
settore energetico?
46
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