Embed Size (px)
Citation preview
Funded by:
European Union
Smart/Intelligent Grid Development and Deployment
in Thailand (Smart Thai)
“Smart Grid: Policy, Services and Applications”
Automated Demand Response for
Integration of Renewable Resources
Mr. Sunpatipan Taechoprasert
Director - Strategy, Pricing & Commercial Excellence,
Schneider Electric
5th October 2012
IMPACT Exhibition and Convention Center, Thailand
Automated Demand Response for
Integration of Renewable Resources
Sunpatipan Taechoprasert
Oct 5, 2012
Smart Grid : Policy, Service and Application
IMPACT, Muang Thong Thani
3
4
Introduction The 5 pillars of smart grid and the role of demand response
Industry
Buildings
Data Centres
Infrastructure
Residential
Electric Vehicles
& Energy Storage
Efficient Home
(with electric vehicles)
Efficient Enterprise
(+ infrastructure to charge electric vehicles)
Smarter
Demand
Smart production
(centralised, distributed and renewables)
Flexible distribution
(HV/MV, MV/MV, MV/LV)
Smarter
Supply Smart Grid
Demand
Response
Demand
Response
5
Integration of renewable generation
●Generation Control System (GCS)
● The Generation Control System is the bridge between generation power
plants and System Operator
● The status of the renewable generation variables are sends to System
Operator by means of Generation Control System
6
Integration of renewable generation
●Generation Control System (GCS)
● Integration of renewable generation provides demand response and energy
transport efficiency
Variables
System Operator
GCS
Renewable
Generation
Filtered
variables
7
Integration of renewable generation
SCADA Web Server
Co-generation
Wind farm
GCS Remote Web Access (Optional)
Remote Web
Customers
Existing
Local
Control
System Existing
Local
Telecontrol
Protocol ICCP TASE.2
Protocol
OPC-DA IEC 101
Existing
UTR
IEC 104
Generator
measures
OPC-DA TCP/IP – serial
conversion
Redundant dedicated
communication lines
System Operator
Co-generation
Co-generation
8
Why need Demand Response
● Unpredictable and steep ramps
● Errors in forecasting
● Variability during Hours
● Over generation in the night
9
Main Challenges in Demand Side
●Customer education and regulation products
●Limiting customer’s regulation participation
●Switching off equipment vs modulating equipment
●Accuracy of forecast
●DR resources are not the same as generation resources
10
Challenges in Communication & Control
●Resource parameters effect to DR
●Slow DR communication infrastructure
●Control architecture impact on communication
●Load sequence in Building Facility Management
●Who could take energy in night : Building
11
Industry
Buildings
Data Centres
Infrastructure
Residential
Electric Vehicles
& Energy Storage
Efficient homes
(incl. EV charging infrastructure)
Efficient Enterprise
(buildings, industries & datacenters
+ EV charging infrastructure)
Smarter
Demand
Smart Generation
(bulk, distributed & renewable)
Flexible
Distribution
(DMS, substations, feeders)
Smarter
Supply
the
Smart Grid
Demand
Response
Demand
Response
5 areas of expertise, all connected
12
Transmission Distribution
Commercial
& Industrial
Residential Efficient Home
Efficient Enterprise
Centralised Generation
Renewable Energy Plants Distributed Generation
Industry
Buildings
Data Centres
Residential
Infrastructure
Utility network Consumers
Demand-response to help balance supply & demand at peak time
Aggregation of large
industrial load
1GW under control
Major supplier of
EDF RTE
Advanced Load Control
System with end-users
Reduction of peak load
Management of
unplanned
situations
Technical VPP Commercial VPP
Grid services Market services
Solutions for Technical and Commercial needs
Weather information services
13
Energy Pool presentation
European leader in demand-response
Focus on large electricity consumers of the industrial and commercial sectors
End 2011: a virtual power plant of 1000 MW of flexible load,
managed 24/7 from our Network Operation Center in Chambery (France).
Equivalent to one nuclear reactor
Represents the largest demand-response operator in Europe and a leading
position worldwide
Energy Pool International: a subsidiary dedicated to international deployment of
our operations . Operations starting in UK, Belgium. Ongoing projects worldwide
A fast growing company
2008: created by entrepreneurs from industry;
2010 : Schneider demand response operator
End 2011: 40 people
14
Access - Commercial & engineering phase :
Assess the DR potential of one or many consumer sites
Reprocess/operate and calculate the costs of execution
Go/NoGo for DR program(s) participation
Operate - Consumer participation to the Pool
DR capacities operational management
are combined and activated depending on
operational needs
Consumer effort limited to activation during events
Monetize - Optimize the value extracted from the
different DR programs for a given set of capacities
Aggregations are organized so that the most valuable
characteristics are proposed to the markets (e.g. 24/7
availability)
Access Operate Monetize
Consumer
Process
Smelter
Cold Storage
Etc.
NOC
Optimization
of the economics
DR expertise &
complexity
processing
CVPP or Aggregator as keyrole Identifying & Improving Active Demand participation with financial incentives
15
DR management cancels load or shifts it from peakers (mainly fossil-fuel ) to hydro or
nuclear CO2-free base generation
‘Valleys’
DR management shaves peaks and
lowers needs for investment in new
capacities
DR management can stimulate
demand when there is an excess of
power, therefore improve the
generation profitability and security
of supply
GHG
Peaks
Flexibility through DR management is proven and currently deployed in EU countries
DR management matches 3 x 20 challenges Peak shaving, smart investments, reduction of CO2 emissions
16
Possible
interruption of
loads
From different
capacities…
…we identify
opportunities…
Continuous
process merely impossible to
stop
High fixed fee
Complex Process can be stopped with
cautious operations
High variable
prices
Side-processes with a big storage
capacity
Lower price, big
volumes
We collect forecasts and monitor
real-time availability and constraints
…we aggregate and make
offers to the markets…
Balancing Market
Security
Reserves
& Regulation
Capacity Market
Energy Market
Transactions
Realtime &
Intraday
Long term
contracts,
Emergency
operations
Mid or Long
term contracts
Intraday to
Long term
contracts
DR Identification, aggregation and operation Creating value by reducing risks and complexity for all parties
Local generation with or without
flexibility
Market value
Lo
ad
G
en
era
tio
n
Long term
contracts
17
Large scale
100’s of MW : a powerful tool
in the hands of Grid Operators
Reliability
Pooling effect : contracted
MWs exceed commited MWs
Customer A
Customer B
Customer C
Bids
Is called
UpdatesCustomer D
-
-
30 MW
20 MW
Operates
Dispatches
Controls
The Pool
10 MW
10 MW
30 MW
-
Gridoperator /
Utilities
Demand Response with Energy Pool The key advantages of the pool
18
Demand Response with Energy Pool
Grid operators / Utilities
Pay Energy Pool for provided
flexibility service
Customers members of the
pool
Receive a a payment from Energy
Pool for flexibility resources
operated by Energy Pool
Large electricity users
Provide flexibility
resources to be operated
by Energy Pool
Grid operators / utilities
Get flexibility services
from Energy Pool
AgregatesSecures
OperatesOptimizes
21
Case study - Global Pharmaceutical Tech
Company
Plan Strategy
● Situation:
● Global pharmaceutical tech company wanted to
cut energy costs in its facilities across 4 continents
● Needed an efficient way to involve a number of
global facility-level personnel in the process
● Solution:
● Consumption Workshop, proprietary exercise to
uncover strategies for reducing energy costs and usage
● Forum for plant personnel to collaborate with corporate leaders about key projects and
strategies
● Employees from 16 facilities, including sites in France, Italy, Belgium, United Kingdom,
Puerto Rico and the U.S., participated in the workshop.
● Results:
● Identified $2.6 million in energy savings during the Consumption Workshop, most of which
could be realized with little or no capital investment.
● Savings represented 9% of the company’s total annual energy spend
● Collaboration among the facility teams for the first time
22
Case Study - Global Manufacturing
Company How Do I Buy?
● Situation:
● Decentralized global manufacturer with 44 sites in 18 countries with each site handling
energy management efforts independently
● Solution:
● Identified countries in the portfolio that offered greatest opportunities
● Reviewed risk management and tariff and sourcing options
● Large site in Singapore was about to enter into a new contract that would lock in electricity
price that Summit team anticipated would go lower
● Recommended waiting to lock to take advantage of expected downward market movements
that would save the company money
● Results:
● The company centralized its approach
● Corporate energy leader could make more informed
hedging decisions across all 44 facilities.
● Singapore site lowered its long-term electricity costs,
eliminating potential volatility, saving 10%
23
Case Study - Automotive Company How Do I Control?
● Installed Enterprise Energy Management System (EEM)
● Smart energy monitoring resulted in:
●Cost savings
●Faster access to reporting
●Conservation initiatives
● Ongoing Measurement & Verification
● Measurement and Verification continues the
lifecycle focus and leads Ford through
revisiting their energy strategy
24
● Production process scheduling
● Install WAGES monitoring & control to forecast filter
loadings and initiate backwashes to avoid peak utility
demand periods
● Pumping system optimization
● Provide demand sub-metering and hydraulic modeling
intelligence to optimize system for any given flow and
pressure condition
● Install adjustable speed drives
● Control inefficient discharge valve control to maintain
system pressures and flows at desired levels
● Diesel driven pumping
● Install WAGES monitoring & control to monitor critical
parameters, remotely start/stop pumps during peak
electrical periods to reduce utility charges
● On-site generation
● Fully monitor and automatically operate on-site diesel
generators for peak efficiency
$764,630 annually
3.2 year payback
6,818 kW
12,458,300 kWh
-3,690 dT
Results
Case Study - Veolia, Indianapolis
LLC How Do I Optimize?
25
Case Study - Global Glass Manufacturer
How Am I Performing?
● Situation:
● One of the largest glass manufacturers in the world,
producing 30 billion glass containers a year
● Needed help tackling its sustainability challenge
● Solution:
● With access to the company’s corporate-wide energy information, analyzed data to
create GHG emissions baseline
● Developed GHG inventory by defining boundary conditions, outlining scope definitions
upon verifiable data and auditable processes
● Results:
● The glass manufacturer could track and report on greenhouse gas emissions at both
the site and enterprise levels.
● The company began to leverage emissions data from multiple streams and scopes,
benchmark performance against baseline data, and maintain a database of
sustainability project initiatives
● Gained an understanding of historical emissions data, used information for corporate
sustainability benchmarks and initiatives
26
Energy Monitoring Energy Modeling provides a means to normalize usage and factor out the influences of weather and production
