improvement of energy efficiency with iot renkei control · control and energy management technical...

Control and Energy Management Technical Committee WG1

Japan Electronics and Information Technology Industries Association Industrial System Business Committee 1

Improvement of energy efficiency with IoT ～RENKEI Control～

12th October, 2017

Tatsuro Uno,

chairman

Control and Energy Management Technical Committee, JEITA

Yokogawa Solution Service Corporation


Japan Electronics and Information Technology Industries Association Industrial System Business Committee

About JEITA

2

■Leading ICT and electronics association in Japan ■Around 400 members from Japan and abroad ■Chairman: Mr. Shusaku Nagae Director, Chairman of the Board, Panasonic Corporation ■Global production by Japanese electronics and IT companies(2016): USD 330 billion(36 trillion yen)(World Share:13%) ■Basic Policy: Realization of “Society 5.0”—a world-leading super-smart

society based on advanced use of information. Cooperation with industries outside the scope of IT and electronics. Shift to the growing field, “advanced transport systems”, “healthcare”, and “ smart home”. Creation of new markets across industries through co-creation with ventures and overseas.

Advanced transport systems

Healthcare Smart Home

Fields of Focus



Industry System Business Committee

Control and Energy Management Technical Committee

Measurement Traceability Technical Committee

Energy Management Standardization Committee

Consists from three working groups (WG) , RENKEI Control, System Security and Plant Services Business. Committee check activities of each WG quarterly.

WG 1 (Research, Examine, Promote Energy Management (RENKEI Control) Technology

WG 2 (Research, Examine, on Control System Security)

WG 3(Research, Examine, on Plant Services Business)

Participation for ISO / TC301, Promote ISO50001 Developing new work item proposal

Promote Measurement Traceability JCSS Registration etc.

Control and Energy Management Technical Committee



Agenda

１．Introduction

２．RENKEI Control Overview

３．RENKEI Control Cost-Effectiveness

４．What Next?



1. Introduction



IoT（Internet of Things） IIoT（ Industrial IoT)

＝Industrial Internet

Industrie 4.0

「Smart Factory」

Big Data

M2M

１．Introduction

Industrial IoT



１．Introduction

What change? (Energy Management)

Loss

Raw Materials

Products

Other Inputs （Weather, person）

Production side

Process

Process

Process

Power

TG

Fuel Heat Source

B B Utility side

Sold electricity

Purchased electricity

Generation Fuel

Production－Utility

RENKEI

Inter-process

RENKEI

Facility Facility



Decrease the amount of GHG emission by 26% (vs. 2013) by 2030 (COP21 Paris)

Target: 50.3M Kl（crude oil equivalent） *Need to improve energy efficiency as that of after the oil shock.

Energy management with control technology which achieve overall optimization, utilize existing facility, and is very cost-effective

Easier deployment with the progress of IT (IoT)

Named the concept of the overall optimization, “RENKEI Control” and started publication

“RENKEI Control” was introduced in IEC’s Technical Report on Energy efficiency (IEC/TR 62837)

Published “RENKEI Control Guidebook” (JP/EN ) in 2012

Published revised edition including IoT in March, 2017

１．Introduction

Background of “RENKEI Control”



2. RENKEI control Overview



Difficult to store and transport energy => mismatch between supply and demand

Energy supply was designed to match max. energy demand load => low demand leads energy efficiency deterioration (combined use of the independent controlled units)

Supply side (Power and heat source facilities etc ) must be operated optimally in respond to the constant & irrationally changing demand, which is the RENKEI control approach.

“RENKEI Control” is an optimization control technology that maximizes the total energy efficiency by controlling independent equipment to work in concert with each other for harmonizing the demand and supply of energy.

An advanced control technology that provides energy management utilizing existing facilities and equipment in both supply and demand sides.


What is “RENKEI control”



Supply side RENKEI: RENKEI among Supply facilities

Demand & Supply RENKEI :Demand and Supply, bidirectional

Demand side RENKEI: RENKEI among Demand facilities

２．RENKEI Control Overview RENKEI Control Structure

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Energy supply facilities Energy consuming

facilities

Gas Fuel

Receiving and Distributing system

Co-generation System

Compressor

Distribution equipment

Heat source

Electricity

Compressed air

Steam

Hot water Chilled water

Lighting

Air conditioner

Office

Air conditioner

Lighting

Factory

Production Systems

Demand and supply RENKEI

Supply side RENKEI

Demand side RENKEI

Electricity




RENKEI Control Category and Sample Cases

Categories Sample Cases

1 RENKEI among Energy Supply Facilities

• In between heat source facilities load distribution optimization

• In between utility facilities load distribution optimization

• Auxiliary equipment RENKEI control(such as compressors in concert with cooling water pumps, etc.)

2 Demand and Supply RENKEI

• Predict heating and cooling. Compressed air system, Cooling system, etc.

3 Demand and Supply Bidirectional RENKEI

• Night operation of the large power consuming plant • Make use of the off gas generated by blast furnaces in

iron works • Utility facilities as the supply side • Demand Response

4 RENKEI among Demand side Facilities

• Production line adjustment • Demand side management



Dem

an

d s

ide F

acilitie

s

Production system #1

Office


Receiving & Distribution

Co-generation

Heat source

En

erg

y

Su

pp

ly s

ide F

acilit

ies

Method to control the optimized operation of neighboring facilities on their energy characteristics.

Minimize the CO2 emission and costs by optimizing the load balance of equipment.

1. Optimum load balance between supply equipment in a factory

2. Optimum load balance between neighborhood factories


-1 RENKEI among Energy Supply Facilities (Supply side RENKEI)



Method to control the operation of equipment in the supply side according to the demand.

1. Optimum load balance between energy supply equipment based on the actual demand.

2. Optimum load balance between energy supply equipment based on the forecasted demand.

Dem

an

d s

ide F

acilitie

s


Office



Co-generation

Heat source

En

erg

y

Su

pp

ly s

ide F

acilit

ies

Energy Demand


-2 Demand and Supply RENKEI



Air conditioning load main consuming utility facility such as district heating & cooling application, optimize heat source equipment on supply side, by forecasting demand side energy (Office, Shop, painting process, etc.)

２．RENKEI Control Overview -2 Demand and Supply RENKEI Air conditioning main utility Operation Optimization



Method to control the operation of energy supply equipment according to the demand and to adjust the demand.

1. Change the production operation

2. Change the production schedule

Dem

an

d s

ide F

acilitie

s


Office



Co-generation

Heat source

En

erg

y

Su

pp

ly s

ide F

acilit

ies

Energy Demand

Demand Adjusted


-3 Demand and Supply Bidirectional RENKEI



0

500

1000

1500

2000

11 15 19 23 27 31 4 8

需要電力 PV発電量蓄電池放電量

需要実績（日）

気象

天気外気温度湿度日射量

XXXXXXXXXX SZ9.9 ℃ Z9.99 % 9.99 kW/㎡Z,ZZ9 kW

需要電力

発生日時内容

YYYY/MM/DD HH:MM XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX








アラームサマリ

００００ kW計画値

００００ kWデマンド値

００００ kWデマンド予測値

設定画面

００００

００００

００００

３段警報

２段警報

１段警報

Necessity of energy reduction is detected

計画値超過 0

500

1000

1500

2000

11 15 19 23 27 31 4 8

需要電力 PV発電量蓄電池放電量

需要実績（日）

0

0.5

1

1.5

2

2.5

3

3.5

4

0

100

200

300

400

500

600

700

800

0:00 4:00 8:00 12:00 16:00 20:00

電力 PV発電量蓄電池放電量蒸気

需要実績

気象

天気外気温度湿度日射量

XXXXXXXXXX SZ9.9 ℃ Z9.99 % 9.99 kW/㎡Z,ZZ9 kW

需要電力

発生日時内容









アラームサマリ

request to cooperate

Cooperation incentive

・・・・ A Factory B Factory XX Factory

prediction

Aggregate

optimization

Adjustment on demand and supply

Request

ＣＥＭＳ

FEMS FEMS FEMS

Energy Center

prediction prediction

Based on demand plan created from forecast data, calculate optimum supply for supply planning, in order to detect the effect of interchanging energy of the entire community. From This method, it enables to adjust demand and supply of each factory by sending out emails or alerts for cutting energy usage. Dynamic pricing or Demand response will be enabled in the near future.

２．RENKEI Control Overview -3 Demand and Supply Bidirectional RENKEI

Adjustment on Demand and Supply




Demand and Supply Optimization in Steel Plants

Optimization of Gas Holder

Optimization of Oxygen Plant

Optimization of Power Plant Coke oven Sinter

Turbine Blower

Boiler

Oxygen

Basic Oxygen Furnace

Blast furnace

Coal

BOF Gas

BF Gas

Co Gas

Forecast & Optimization

Power & Steam

Oxygen

Instruction

Continuous casting Product factory

Mill

Demand

Instruction

Instruction




Optimized Method＆Estimated Effect

Energy Network model

Simulator Optimization

(metaheuristics）

Outline of Optimized Method Simulate based on

Characteristic of facility

Determine the optimal solution from Simulation results

Estimated result

- As adoption rate of EMS is 100%: CO2 reduction: 858 thousand tons per year Energy saving: JPY 10 billion per year (INR 6.2 billion per year)

*This value is based on results obtained from a project commissioned

by New Energy and Industrial Technology Development Organization (NEDO)




Demand and Supply Optimization in Refineries

External Utilities Contracts

Emissions Regulations

Hydrogen Fuel Steam Water Electricity

Energy and Utilities System

Measurements Optimum Set Points

CLOSED-LOOP signals to

control systems

OPEN-LOOP advisory reports to

operators

Control System / Historian

Operators

Process (Utilities Consumers and Generators)

(Degrees of freedom in Generation and Distribution)

Optimum Energy System Operation Report

Optimum Energy System Operation Report

Energy Management System



Dem

an

d s

ide F

acilitie

s


Office



Co-generation

Heat source

En

erg

y

Su

pp

ly s

ide F

acilit

ies


-4 RENKEI among Demand side Facilities (Demand side RENKEI)

Method of executing control of the production system

1. Change the production operation

2. Change the production schedule

The current most common way is to put some production lines to stop, however in the future, control technology will be enhanced such as operational improvements to automatically putting production lines to stop with the suitable sequences based on the production plan, etc.

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3. RENKEI Control Cost-Effectiveness



Retailing Application

Manufacture Application(1)

CO

2 r

eduction u

nit c

ost

(1

000 ×

JPY／

t-CO

2)

CO2 reduction ( t-CO2／year)

Ventilation equipment

Inverter pump

Heat pump Water heater(1)

LED Lump

Heat pump Water heater(2)

RENKEI control

Individual provision Combination

Stand alone energy Efficient equipment

3. RENKEI Control Cost-Effectiveness

CO2 Reduction per Year vs Cost



Heat supply Application



４．Conclusion and What Next?

RENKEI Control • Overall optimization using control technology on existing

facilities • High cost effectives with step-by-step RENKEI on

installed supply equipment to demand and supply bidirectional

• Decrease the amount of GHG emission by 26% (vs. 2013) by 2030 (COP21 Paris)

• Target: 50.3M KL（crude oil equivalent）

Seek New Energy Management Plan



“RENKEI Control” is Advanced Concept

RENKEI Control is a concept to organically connect

multiple facilities to totally optimize operation of facilities

to aim for minimizing energy and cost

Intelligent facility boost RENKEI Control

Easier deployment of RENKEI Control with the progress

of IT (IoT) that facilities and devices send out their

energy usage characteristic by themselves

“RENKEI Control” contribute to Co2 reduction

under “Connected Industries” concept in Japan

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４．Conclusion and What Next?

improvement of energy efficiency with iot renkei control · control and energy management technical...

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