smart home energy management system with renewable...

Smart Home Energy Management System with Renewable and

Storage Energy

Speaker : Hong-Tzer YangSpeaker : Hong-Tzer Yang

Professor & Deputy DirectorProfessor & Deputy DirectorCenter for Energy Technology and Strategy ResearchCenter for Energy Technology and Strategy ResearchDepartment of Electrical EngineeringDepartment of Electrical EngineeringNational Cheng-Kung University, TaiwanNational Cheng-Kung University, Taiwan

2

OutlineOutline

Master Plan of Smart Grid in TaiwanMaster Plan of Smart Grid in TaiwanSmart Grid Implementation Plan in Smart Grid Implementation Plan in TaiwanTaiwan

Smart Home/Building Energy Smart Home/Building Energy Management SystemManagement System

Future Prospects Future Prospects

3

Master Plan of Smart Grid in Taiwan

4

Worldwide Smart Grid StatusWorldwide Smart Grid Status

Reliability enhancement by information network and technology to shorten outage duration time. That is supported by DOE from EISA 2007.

20/20/20: CO2 reduction by 20% by 2020 compared with that of 1990.(AMI/AMR & EV)

Smart Community alliance had made up by governor and manufacture, to demonstration the smart grid in Yokohama, Toyota, Kyoto, and Kitakyushu City.

China announced the 12th 5-year plan, and will invest $250 billion (USD) in 7 areas (include generation, transmission, substation, distribution, dispatch, customer, and communication) for a strong and smart power grid.

There are three phases to 5 implementation areas from power grid to service, which are integrated at Jeju Island as a smart grid test-bed.

EU

China

Japan

Korea

USA

5

Smart Grid Master Plan in TaiwanSmart Grid Master Plan in Taiwan Smart Grid Master Plan is formally announced on 3 Sept. 2012.

We will invest about USD $4 billion in six implementation areas to construct smart grid infrastructure during 2011-2030.

6

To establish a high quality, high efficiency and environmental friendly smart grid to get forward the realization of the low carbon society and sustainable development.

EV

AMI (National AMI Deployment Plan)

EMSRenewable Energy

Energy Storage SystemsT&DAS

Renewable Energy: Onshore/Offshore Wind Farms/Solar Power/Energy Storage Systems

VisionVision

http://www.tradekorea.com/product-detail/P00014065/Feeder_Protection___Control_Relay.html

7

(1)To Ensure Reliable Power Supply:The SAIDI (System Average Interruption Duration Index)

should be maintained on the top five of the world in 2030. (2030:15.5min./year)

Reducing the power transmission loss from 4.8% to 4.4% in 2030.

(2) To Encourage Energy Conservation and Emission Reduction:

Reducing 100 million ton CO2 emission per year in 2030.

(3) To Enhance the Use of Green Energy: Improving the renewable power interconnection

capability to 30% in 2030. (4) To Develop Low-carbon Industry:

Driving smart grid industry to create NTD 700 billion value in 2030.

ObjectivesObjectives

8

Smart Grid Implementation Plan in Taiwan

9

Overview of Taiwan Power SystemOverview of Taiwan Power System

161/69 kV

P/S

TRANSMISSION

D/S

GENERATION

Fossil

Hydro

Nuclear

*

345/161 kV

E/S

161/22.8 kV 22.8/11.4 kV Customer

TPC 6.9/13.8

167KVA

S/S

DISTRIBUTIONCustomer 161 kV Customer69 kV

Customer220/110 V

69/11.4 kV

10

Overview of Taiwan Power CompanyOverview of Taiwan Power Company Taiwan Power Company (Taipower) is a state-owned electric power utility

providing electric power to Taiwan and off-shore islands

Reference Taipower www.taipower.com.tw

http://www.taipower.com.tw/

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Overview of Taiwan Power SystemOverview of Taiwan Power SystemPeak Load: 33.79 GW (2011.08.18)

Total energy production: 142,838 GWh (2012.08)Taiwan Power Company

Installed Capacity : 41,501MW (2012.08)1st Nuclear 1272MW

2nd Nuclear 1970M

Tung-Hsiao 1815MW

Lungmen Nuclear 2700MW(Under Const.)

TaTan 4384MW

Tai-Chung 5780MW

Takuan PS

Ming-Tan Pumped Storage 1666 MW

Mai-Liao 1800MWIPP

Chingshan Hydro (Under Rehabilitation)Techi Hydro

Legend

Extra High Voltage Substation

345KV Transmission Line

Primary Substation

161KV Transmission Line

Thermal Power PlantsHydro Power plants

Nuclear Power plants

IPPs

3rd Nuclear 1902MW

Ta-Lin 2400MW

Hsing-Ta 4326MW

(Talin Rebuild1600MW Under Implement.)

PengHu

Heavy Load 1.metropolis 2.industy park (science park, steel rolling mill)

steel rolling mill

science park

science park

12

Jinshan Jinshan 11st st Nuclear Nuclear Power PlantPower Plant

Kuosheng Kuosheng 22nd nd Nuclear Nuclear Power PlantPower Plant

MaanshanMaanshan33rdrd Nuclear Nuclear Power PlantPower Plant

LungmenLungmen44thth Nuclear Nuclear Power PlantPower Plant

Nuclear Power Plants in TaiwanNuclear Power Plants in Taiwan

Station Set Capacity (MW) Status

1st Jinshan Nuclear Power Plant1 636 Retire in 20182 636 Retire in 2019

2nd Kuosheng Nuclear Power Plant1 985 Retire in 20212 985 Retire in 2023

3rd Maanshan Nuclear Power Plant1 951 Retire in 20242 951 Retire in 2024

4th Lungmen Nuclear Power Plant1 1350 Operate in 2014 2 1350 Operate in 2016



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Overview of Taiwan Power SystemOverview of Taiwan Power System Energy Policy of Taiwan

a. Steadily ReducingNuclearDependencya)No extension to life spans of existing plants, and the

decommissioning plan should be launched as planned.b)The security of the 4th Nuclear Power Plant must be ensured

prior its commercial operation.b. Replacing Nuclear with LNG for Base Load

LNG total installation capacity is expected to reach 26,532 MW (accounting for 40% of total capacity of power installations) by 2030.

c. Promoting Renewable Energy ExtensivelyUnder the campaign of one thousand wind mills and one million

sunshine roofs, the installed capacity of renewable energy is expected to reach 12,502 MW (accounting for 16% of total power installations) by 2030.

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Smart Grid Implementation Plan in TaiwanSmart Grid Implementation Plan in Taiwan

(1) Strategiesa. Smart Generation & Dispatching

a)Upgrade traditional thermal power generation efficiencyb)Integrate large scale renewable energies

b. Smart Transmission a)Increase transmission grid efficiency and reliability using new

technologiesb)Enhance capability of asset management

c. Smart Distributiona)Improve the reliability of distribution networkb)Increase the penetration of distributed renewable energy

d. Smart Customera)Improve energy usage efficiency through customer

participationb)Reduce peak load by way of demand response

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Southern California Edison

Meter (AMI) is the interface between customer loads andenergy management systems and the grid

Strategic Initiatives of

Smart Grid in Taiwan

(cont.)

Data Center

In Data Center:Billing/Customer serviceDistribution automationEnergy managementOutage management

Smart HomeAMI

ADAS

80kW Diesel Generator

Microgrid System

PCC

16

Objectives of Taiwans Smart-Grid Action Plan Objectives of Taiwans Smart-Grid Action Plan

PhasesObjectives 2011

Phase I2012-2015

Phase II2016-2020

Phase III2021-2030

Ensured Reliable Power Supply

SAIDI(min/customer year)

21 17.5 16 15.5

Reduced transmission loss (%) 4.72 4.64 4.54 4.42

Improve power supply bottleneck 64 items solve 20% solve 40% solve 80%

Smart Substation - 25 stations 303stations 583 stations

DAS 70% 80% 88% 100%

AMI (meters) HV 1,200HV 23,000

LV 1MLV 6M

National Wide

Deployment

17

Objectives of Taiwans Smart-Grid Action Plan Objectives of Taiwans Smart-Grid Action Plan

PhasesObjectives

Currently2011

Phase I2012-2015

Phase II2016-2020

Phase III2021-2030

Energy Conservation and Emission-Reduction

Emission-Reduction

(million Ton./year)- 11.78 35.99 114.71

Enhance the Use of Green Energy

Improving renewable power interconnection

capacity (penetration)

10% under 15% 20% 30%

Develop Low-carbon Industry

Smart Grid Revenues

(NTD)25 billion 100 billion 300 billion 700 billion

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Reserve Margin (%) in Taiwan Reserve Margin (%) in Taiwan

1950 1960 1970 1980 1990 2000 2010-40

-20

0

20

40

60

80

year

Res

erve

Mar

gin

(%)

Reserve margin (%) =Reserve Capacity

Peak Load 100%

Reserve capacity (MW) = Net Peaking Capability - Peak Load



19

Status ofStatus of DR Program in TaiwanDR Program in Taiwan Qualifications

Usual Capacity Contract >500kW Demand Reduction Hours

When demand reduction is required, users will be notified 15 min, 30 min or 1 hour ahead.

The demand reduction period can last for 2 or 4 hours based on users choice Frequency of DR Operation

Maximum reduction time is once a day At least once per month during Summer At least twice during non-Summer

DR Capacity Contract Contract is agreed by both sides, but not less than the minimum DR contracted

capacity Minimum DR contracted capacity is calculated as follows:

If usual contracted capacity is less than 5000kW, DR reduction rate should be no less than 20%

If usual contracted capacity is more than 5001kW, DR reduction rate should be no less than 10%

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Electricity Bill Reduction Customers electricity bill will be deducted by how long ahead they

choose to be notified for DR operation

Notification TimeBase Charge

Reduction(NT$/kW/month)

Energy charge Reduction(NT$/kWh)

15 min ahead 20 8

30 min ahead 20 6

1 hour ahead 20 4

Status of DR Program in Taiwan (cont.)Status of DR Program in Taiwan (cont.)

US$:NT$ = 1:30

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ContentsContents2011:System Planning and 2011:System Planning and Interface developmentInterface development

2012:Smart Building EMS Demonstration

2013:All System Integration and Cost Effectiveness Analysis

TV Display

DS2 PLC

RS485

WiFi AP

AC Power Line from Taipower Grid

Setup Box

AMI

DS2 PLC

DS2 PLC

NILM1

NILM2

DS2 PLC

Bi-directionalCharger

Zigbee Coordinator

WiFi/RS232 Bridge

RS232

WiFi AP

Zigbee Device

Home Gateway

ARM11 Processor

Embedded System Design

Ethernet WiFi PLC Zigbee

Hardware Communication Interface

SD Memory

DS2 PLC

DS2 PLC

Micro Inverter

DS2 PLC

PV

PV

DS2 PLC

Battery

()()

()()

()

()

()

Personal Computer

Data Collection ManagementLoad Pattern AnalysisWeather, Load, and Real-time Prediction SystemMulti-objective Decision Making SystemTemperature and Humidity, illumination sensing control EMS Software InterfaceRemote data and program burningEMS Software Development

WiFi AP

()()()

()()()()

()()

()

WT

EV

()

Chip Design and Fabrication

()()

()()()()

()()

Technical Specifications and

StandardsElectricity Tariff

Structure

()

Ethernet

NILM: Non-Intrusive Load Monitoring

Home Energy Management System

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Low Voltage AMI TimelineLow Voltage AMI TimelineYear Meter NO. to

be installedWorking Items

1st Stage(Tech.test)

2009 50 Communication Technology Testing

2010 300~500 Define Function and standardTest platform Plan

2nd Stage(PreliminaryInstallation)

2011 10,000 MIDMS Meter Function TestMeter Function Std. ID.Construct Test PlatformConstruct New TOU FEEs

2012

Technology Confirm & C/B Ass.

3rd Stage(Fundamental Installation)

2013 1,000,000 Meters InstallationNew TOU Fee ExecutionLoad Management and Demand Response Study2014

2015

Cost/Benefit Assessment

4th Stage(Extended Installation

2016->

5,000,000 Construct Distribution AutomationApply Load Management and Demand Response



23

Energy Meters Communication Decision making/ Services

Home Home Automation Automation

NetworkNetwork

Local area Local area network, i.e. network, i.e. PLC, WiFi, PLC, WiFi, ZigBeeZigBee

AggregatorWide Area Network, i.e. Wide Area Network, i.e. GPRS/3G, WiMax, Optical GPRS/3G, WiMax, Optical fiberfiber

Data Management System

Energy Control Platform

PMU (Phasor Measurement Unit)

Smart Meters

FTU (Feeder Terminal Unit)

Communication Equipment

Transmission and Distribution Control and

Management Devices

Electrical System Supplying Optimization

Advanced Metering InfrastructureAdvanced Metering Infrastructure

GenerationGeneration

TransmissionTransmission

DistributionDistribution

LoadLoad Smart Appliances

Power Plant

Management System

Load Shedding/ Energy Saving

Transparent Energy Info. Real-time Demand Analysis Optimized Electricity Dispatch

http://www.tradekorea.com/product-detail/P00014065/Feeder_Protection___Control_Relay.html

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STS

vo1=V11

vg=Vggvo2=V22

110Vac, 60HzPg

io1

io2

=~~

==

=~~

==

=~~

==

Vo3=V33

io2

or

()

PCC

Residential Renewable Energy SystemsResidential Renewable Energy Systems

Wired/Wireless Wired/Wireless CommunicationCommunicationZigbee, PLC (Protocols, Zigbee, PLC (Protocols, Standards )Standards )

IC DesignIC Design(Lower the Cost)(Lower the Cost)

Module InverterModule Inverter(Increase the efficiency and lower (Increase the efficiency and lower the partial shading effects)the partial shading effects)

Islanding DetectionIslanding DetectionInsures system stability by fast Insures system stability by fast detection with minimized NDZdetection with minimized NDZ

Power Factor CorrectionPower Factor Correction(Increase the efficiency)(Increase the efficiency)

Energy Storage System or EVEnergy Storage System or EVIncrease the electricity supply Increase the electricity supply reliability and coordinate with energy reliability and coordinate with energy management optimizationmanagement optimization

Utility Utility GridGrid

Residential Residential LoadLoad

Home GatewayHome Gateway(Energy management (Energy management optimization)optimization)

Wind Power SystemWind Power System

PV generation SystemPV generation System

25

PLC master

PLC slave

RS232RS232

IPTV

e-meter

PLC slave

e-meter

AC power line

Zigbee receiver

Zigbee meter module

Ethernet

ZigbeeEthernet

Ethernet

WiFi

Zigbee

Home Area Network Home Area Network User and machine User and machine monitoring and control monitoring and control systemsystem

Home GatewayHome Gateway

NILM techniqueNILM technique

InternetInternet

datacenter

Internet

Smart home/building

electrical circuits /power loops

Power meter with NILM functions

Home gateway

PC/mobile/tablet

Datacenter

AC electricity from

utility company

26

Renewable Energies in a Smart HomeRenewable Energies in a Smart Home

DC

AC

Utility Grid110V, 60Hz

AC

AC

Smart meter

home electricity consumption

Storage system

Inverter

Inverter

Smart phone

Solar generator

Wind power generator

Personal computer

Wifi

Internet

Digital Signal Processor (DSP) programing design:Digital Signal Processor (DSP) programing design: MPPT control, Power factor correction (PFC) control (Wind-turbine), charging/discharging control, grid-connected control, power flow control, islanding detection

Power conversion circuit design and implementation: Power conversion circuit design and implementation: DC-DC Converter, Inverter, soft-switching technology, high step-up technology, bi-direction charging circuit

User and machine monitoring User and machine monitoring and control systemand control system

27

PLC

WiFi APAMI

PLC

NILM

Zigbee Device

PV

PV

Battery

Zigbee

PLC

WANWANEthernet

PLC

PLC PLC

Appliences

EV

WT

Zigbee

Smart Home Energy Management System

Home Gateway:Home Gateway:(1) Scheduling Optimizationof Home appliances(2) Air-condition (Lighting) Optimization Control(3) EV Smart Charging Scheduling

User and Machine Monitoring User and Machine Monitoring and Control System:and Control System:

(1) Residential Load Forecasting

(2) Solar/Wind Power Generation Prediction

ADAADASS

Computing Intelligence Applications in Computing Intelligence Applications in Smart Home EMSSmart Home EMS

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low medium high

$0.13/kWh $0.18/kWh

$0.1/kWh $0.23/kWh

22o 32o

24.5o 29.5o

low medium high

Fuzzy Logic Control Algorithm for Air-Fuzzy Logic Control Algorithm for Air-conditioners conditioners

CalculateCalculate Humidity Index

Temperature and humidity

Electricity Tariff

Adjustable

26 27 28

0 0.25 0.5 0.75 1

low medium high

low 28 27 26

medium OFF 28 27

high OFF 28 28

Fuzzy Rule

Home Gateway

Zigbee module

ZigbeeZigbee

IR

behavior learning

low medium high

29

0 : 0 0 4 : 0 0 8 : 0 0 1 2 : 0 0 1 6 : 0 0 2 0 : 0 0 2 4 : 0 00

5 0 0

1 0 0 0

1 5 0 0

2 0 0 0

2 5 0 0

3 0 0 0

3 5 0 0

4 0 0 0

D a t e

Pow

er C

onsu

mpt

ion

(Wat

ts)

N o n - S c h e d u l a b l e L o a d F o r e c a s t o f a T y p i c a l L a r g e H o u s e o n J u l y 1 0 t h

A c t u a l D a t a

F o r e c a s t e d D a t a

Residential Load ForecastingResidential Load Forecasting

Similar day selection

x2

wj1

wj2

wjm

x1

xm

F yj

Activation Function

Output

Synaptic WeightsInput

Signal

Neural network 1 : Neural network 1 : primary forecasting primary forecasting

Neural network 2 :Neural network 2 :error forecasting error forecasting

x2

wj1

wj2

wjm

x1

xm

F yj

Activation Function

Output

Synaptic WeightsInput

Signal

History data

30

Scheduling Optimizationof Home AppliancesScheduling Optimizationof Home Appliances

Min (Cost)Min (Cost)Subject to : Comfort level Convenience

0 10 20 30 40 500

1000

2000

3000

4000

5000

Time (30min)

Pow

er C

onsu

mpt

ion

(Wat

ts)

Scheduled Loads of a Typical Medium House

0 10 20 30 40 500

1000

2000

3000

4000

5000

Time (30min)

Pow

er C

onsu

mpt

ion

(Wat

ts)

Scheduled Loads of a Typical Medium House

Base LoadStoveRefrigeratorFreezerAir-ConditionerClothes DryerClothes WasherDishwasherElectric Water HeaterElectric Vehicle

0 2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 20

0 . 5

1

1 . 5

2

2 . 5

3

3 . 5

4

Time (hour)

Pric

e ($

/kW

h)

P r o p o s e d T i m e - o f - U s e P r i c eTime-of-use

0 : 0 0 4 : 0 0 8 : 0 0 1 2 : 0 0 1 6 : 0 0 2 0 : 0 0 2 4 : 0 00

5 0 0

1 0 0 0

1 5 0 0

2 0 0 0

2 5 0 0

3 0 0 0

3 5 0 0

4 0 0 0

D a t e

Po

we

r C

on

su

mp

tio

n (

Wa

tts

)

N o n - S c h e d u l a b l e L o a d F o r e c a s t o f a T y p i c a l L a r g e H o u s e o n J u l y 1 0 t h

A c t u a l D a t a

F o r e c a s t e d D a t a

Residential load forecasting result

Optimization solving methods:Optimization solving methods:Particle Swarm Optimization

(PSO)Simulated Annealing (SA)Genetic Algorithms (GA)

Optimization objectiveOptimization objective

0 : 0 0 4 : 0 0 8 : 0 0 1 2 : 0 0 1 6 : 0 0 2 0 : 0 0 2 4 : 0 00

5

1 0

1 5

2 0

2 5

3 0

3 5

4 0

4 5

5 0

T i m e

PV

Ou

tpu

t P

ow

er

(W)

P V O u t p u t P o w e r o f a S P 7 5 M o d u l e

Renewable energy generation forecasting

31

SHEMS User Interface Design Web BasedSHEMS User Interface Design Web Based

32

Android based APP Design

SHEMS User Interface Design APP BasedSHEMS User Interface Design APP Based

33

Standard and Specification - OpenADRStandard and Specification - OpenADR

Operators InformationSystem

Utility or ISO STANDARD PARTICPANT INTERFACE

InternetDemand Response

Automation Server

(DRAS)STANDARD PARTICPANT INTERFACE

Internet

Aggregated Loads

DRAS Client

Gatewaycontrol network

W W WElectricLoads


W W WElectricLoads


W W WElectricLoads

Smart DRAS Client

control network

W W WElectricLoads

Simple EMCS

control network

W W WElectricLoads

CLIRRelay contacts

OpenADR 2.0

SEP 2.0/SAANet

Web-base Transport Infrastructure

Meter


W W WElectricLoads

OpenADR v2.0c

OpenADR v2.0c

OpenADR v2.0a

OpenADR Alliance for OpenADR v2.0 with a b c versions:OpenADR v2.0a

DRAS Simple DARS Client

OpenADR v2.0b DRAS All DRAS Client

OpenADR v.2.0c Utility & Renewable

Client

DR transmission mode--Pull mode--

--Push mode--

34

4-Chennel CT input

5V DC input 3-CH PT input

SRAM

NAND

STM32F

SD Card JTAG

Ethernet

3-PhaseVotlage

input

RS485

5V Power SupplyModule

ADE7878

Xbee ProModule

Nonintrusive Load Monitoring (NILM)Nonintrusive Load Monitoring (NILM) Smarter Meter developed for NILM

35

GPIO

I2C1

SPI1

FSMC

ADE7878

Ethernet ICDAVICOM / DM9000A

3-Phases I&V input

STM32F103ARM Cortex-M3

LEDs and buttons

1G bytes NAND FlashSamsung / K9F8G08

1M bytes SRAMISSI / IS61WV51216

SDIOmicroSD Card

RJ45 ConnectorHR91105A

USART1RS232

expansion

RTC 512KBFlash64KBSRAMBattery

USART2 Xbee pro module

Isolated RS485ADI / ADM2587EUSART3

NFM-05-055W Power supply

module

+5VAC

Structure of HardwareStructure of Hardware

36

House

Applications of the Smarter Meter for NILMApplications of the Smarter Meter for NILM

AC power supply system

37

Applications (Cont.)Applications (Cont.)

110V/60Hz voltage110V/60Hz voltage

timetime

currentcurrent

of an appliance and its stateof an appliance and its state

38

Application (Cont.)Application (Cont.)

voltagecurrent

39


40


time

Pow

er c

onsu

mpt

ion

Detected appliances and their state transitionsDetected appliances and their state transitions

http://images.google.com.tw/imgres?imgurl=http://www.windowsfordevices.com/files/misc/icop_ebox4300.jpg&imgrefurl=http://www.techagility.info/2007/12/so-how-small-did-you-want-your-pc/&usg=__rM-WXAqO3ce4m1SUFN1LtUGsLDs=&h=244&w=469&sz=39&hl=zh-TW&start=15&um=1&tbnid=oi84jl_diDdMSM:&tbnh=67&tbnw=128&prev=/images?q=ebox&hl=zh-TW&rlz=1T4GGLL_zh-TWTW322TW322&um=1

41

Time (Hour)

Pow

er c

onsu

mpt

ion

Estimate and decompose the total power consumptionEstimate and decompose the total power consumption


http://images.google.com.tw/imgres?imgurl=http://www.windowsfordevices.com/files/misc/icop_ebox4300.jpg&imgrefurl=http://www.techagility.info/2007/12/so-how-small-did-you-want-your-pc/&usg=__rM-WXAqO3ce4m1SUFN1LtUGsLDs=&h=244&w=469&sz=39&hl=zh-TW&start=15&um=1&tbnid=oi84jl_diDdMSM:&tbnh=67&tbnw=128&prev=/images?q=ebox&hl=zh-TW&rlz=1T4GGLL_zh-TWTW322TW322&um=1

42


125kWh/month

120kWh/month

90kWh/month

43kWh/month

12kWh/month

$25.00

$24.00

$18.00

$ 8.60

$ 2.40

43

Gateway PLCPLC

Zigbee

PV SystemWind Power SystemAMI Data Center

Advanced Distribution Automation Systems

Utility Grid

Communication

Gateway

PC

PCPriter

AMI

Power line

AMI

69kV Substation

Refrigerator

Charge Station

Electric Vehicles

NILMUser And Machine Monitoring and Control SystemNILMZigbee

Office

Laboratory

Smart Building Energy Management System (SBEMS) Demonstration

(1)Propose Electricity Tariff Structure (2)Intergrate systems of all the sub-projects(3)Define the control structure and strategy of DR(4) Demonstrate the SBEMS(5) Analyze costs/benefits

National Cheng Kung UniversityNational Cheng Kung UniversityTainan City Tainan City

44

Future Prospects

45

Su

Submarine Power Cable

PenghuYunlinTaiwan

Low-Carbon Island Project in PenghuLow-Carbon Island Project in Penghu

Low Carbon Island Project in Penghu (59km from Taiwan, inhabitants 89,000, average load 45MW, peak load 83MW)

46

To verify and demonstrate the key technologies and related business models

EMS/DSM, ToU & DR Model over 200 Customer Side Service/Management

Micro-grid

AMI (Startup 500 Meters/total user 30,000)

Wind Farm

Diesel Generators

Smart Substation Auto.

Solar PV(2MW)

Small-scale Wind Farm(220kW)

Large-scale Wind Farm(96MW)

Solar thermal

Electrical Vehicle (include E. Motorcycle andCharging Stations)


47

A field demonstration of low-carbon green living, low-carbon services, and carbon-reduction technologies

Combining with tourism service to have negative demand growth in low-carbon homes In 2015, the target of having a decrease of 50% of carbon

emissions compared to 2005 to be reached

In 2015, 50% of renewable energy penetration level

Electricity consumption growth rate to be dropped by 7%, and per capita carbon emission to be reduced to 2.1 tons per year.

Establishing investment model of Taiwan's first large-scale wind turbine in prefectural stock (the benefit of the island to be 1.6 times more)


48

Thank You for YourAttention!

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