Simulation of Cogen in Smart Energy Networks-Presentation-Dong Sig Daniel Chai

Simulation of

Cogeneration System in Smart Energy Networks

using TRNSYS

스마트에너지 환경에서 TRNSYS를 활용한 열병합발전계통 모의분석

30th January 2015

Prepared

by

Dong Sig (Daniel) Chai

PEng. Canada

[email protected]

[email protected]

Training or Introduction Purpose Only. Do not distribute this paper and the relative articles without written permit by author or original sources. 1

Simulation of Cogeneration System in Smart Energy Networks using TRNSYS

Daniel (Dong Sig) Chai PEng. (Ontario, Canada)

2014~ PhD. Candidate ,Energy System Engineering in Seoul National University

2012. MASc. Mechanical Engineering in University of Waterloo, ON, Canada

1984. B.Eng. Mechanical Engineering in Ulsan University, Korea

2012-Pres. Director/ Senior Project Advisor at Korea Kumho Petrochemical Co., Ltd. Korea

2002-2009 Project Developer/ Gan Rim Corporation, Canada

1991-2000 Manager of Mech. Engineering Dep’t at Korea District Heating Engineering Co., Korea

1984-1991 Engineer at Korea Electric Power Co., E&C (former, KOPEC)

2

Table of Contents


1. Introduction

Goals

Changing Energy Policy

Emerging Renewable Energy

2. Basic Concept of Energy System

Cogeneration

Smart Energy Networks

3. Simulation of Cogeneration Model using TRNSYS

Proposed Area & Applied Model

Energy Peak Loads & Load Duration Curve

System Configuration

System Modeling using TRNSYS Software

Outputs

4. Conclusion and Recommendations

References 3

Goals

1. Introduction

* SEN: Smart Energy Networks

Reducing

Greenhouse

Gases

Emerging

Renewable

Energy

Concerning

Nuclear Power

Safety

Finding

Sustainable Energy

Solutions

Changing

Energy Polices

Development of

Energy Technologies

Improvement of

Energy Efficiency, Security, Reliability,

& Environmental performance

SEN*

Cogeneration

Economic &

Environmental

Benefits

Others

▶ Finding Sustainable Energy Solutions in Variable Environmental Conditions

4

Changing

Energy

Polices

1. Introduction

* Energy policy in Korea is shown instead of that in Canada for this presentation only * RPS: Renewable Portfolio Standard, 신.재생에너지 공급 의무와 한 제도. ** REC : '신.재생 공급인증서 *** ETS (Emission Trading Scheme) : 배출권 거래제

Changing Energy Policy *

Reducing

Greenhouse Gas (Electricity Ind. Sector)

• Reduce Amount by 7.6% (1):

11.5 10^6 CO2te BAU @2020

10.6 10^6 CO2te Target

Changing

Energy Mix (Renewables)

• Increase Ratio by 11.6% (2) : 8.6%(9,277MW) in 2015

20.2%(32,014MW) in 2027

Increasing

RPS*

• Increase Duty by 6.5% (3) :

3.5% in 2015

10.0% in 2020 and after

Trading

REC**

• KPX Trading in 2014 (4) :

Trade total 344,000 REC

Price avg. 114,000 Won/REC

Trading

Cap & Trade

• Open Market (ETS***,KRX) :

9,800 KRW/CO2te in 12th Jan. 2015(5)

5

1. Introduction

1) Sources: Lecture Note of Energy & the Environment, by Prof. Dr. John Wen, University of Waterloo

Emerging Renewable Energy

Renewable

Energy

Conventional

Energy

Energy Useful

Foams

End Users

Legend

6

▶Cogeneration (or CHP) ? CHP is the sequential or simultaneous generation of multiple forms of useful energy (usually mechanical and thermal) in a single, integrated system.

▶Cogeneration (or CHP) Efficiency ? Efficiency advantage of CHP compared with conventional central station power generation and onsite boilers


Cogeneration or CHP *

* CHP (Combined Heat & Power)

7


Smart Energy Networks (6)

Sources: Dong Sig Chai , John Z. Wen , Jatin Nathwani, “Simulation of Cogeneration System within Smart Energy Network”, 2013, Energy Conversion Management 75 (2013),

Concept

8

Seminar-2015-Presenataion-DS Chai.pptx#23. PowerPoint 프레젠테이션

Seminar-2015-Presenataion-DS Chai.pptx#24. PowerPoint 프레젠테이션

2. Basic Concept of Energy System S

mart

En

erg

y N

etw

ork

s (6

)

Mo

de

l u

sin

g T

RN

SY

S

9

3. Simulation of Model using TRNSYS

Proposed Site & Applied Model **

• Proposed site : David Johnston Research and Technology Park (R+T Park) &

neighborhood areas in Waterloo, Ontario, Canada

• Applied Model : Community Cogeneration Model

Waterloo, ON, Canada*

* Sources: Wikipedia & Google map

** Sources: Reference No. 6

10

Energy Peak Loads & Load Duration Curve

• Peak Loads (2012 year base)

Peak Load Residential Office Building Combined

Electricity (kW) 4,005 6,008 9,507

Heating (kW) 6,546 12,221 18,767

• Load Duration Curve (2012 year base)

Electricity-Residential Electricity-Office Heating-Office

* Sources: Reference No. 6


11

System Configuration



12

System Modeling using TRNSYS Software (1/2)

* TRNSYS : TRaNsient SYstem Simulation Program ** Sources: Reference No. 6

• Analysis Software : TRNSYS 16* • Major Types (modules) Applied:


13

System Modeling using TRNSYS Software (2/2)


• System Model


14

Outputs – by Facility


Name of Facility Generation Consumption Index

Elec. Heat Cool Aux. Power

Utility Load Factor

Eff.

Photovoltaic Array O O O

Electrolysis O O O

Hydrogen tank O O

Fuel cell system O O O O O

Gas turbine system O O O O O O

Steam turbine system O O O O O O

District heaters O O

Absorption chiller O O O O O

DH Pumping systems O O O

Auxiliary Boiler System O O O O O O

• Hourly-based Real-time Operating Data


15

Outputs – Electricity Production by Facility


• Hourly-based Real-time Operating Data - Electricity


16

Outputs – Thermal Product by Facility


• Hourly-based Real-time Operating Data - Heating


17

Outputs – System Operating Data (1/2)


• Heat – to – Power Ratio

• Excessive Power Product

& Unmet Power Load

• Excessive Heating Product

& Unmet Heating Load


18


• Renewable & Fossil Contribution

• Efficiency (Separate Heat & Power)

• Efficiency (Cogeneration)

• CEI (Cogeneration Efficiency Index)

• Emissions

Outputs – System Operating Data (2/2)


19

4. Conclusions & Recommendations


• Need to find sustainable energy solutions with emerging energy

systems in changing environmental situations.–Goal

• Energy-mix distributed cogeneration systems in SEN environment

could be one of best solutions to reach the goal because they have

their own unique characteristics to cope with the environment

given.

• Before implementing project, a simulation of cogeneration system

using TRNSYS is able to provide suppliers and consumers with

predictable hourly-based real-time operating data, which enables

them to communicate for mutual interests.

• Need to further study in optimization and economic analysis using

the output data and information to be provided by simulation.

20

References

1. 국가 온실가스 감축목표 달성을 위한 로드맵, 2014.1, 녹색성장위원회 심의 국무회의보고 (Korean)

2. 제 6차 전력수급 기본계획, 2013-2027, 산업통산자원부 (Korean)

3. 신.재생에너지 공급 의무화제도 (RPS), 2012, 에너지 관리공단 신.재생 에너지 쎈타 (Korean)

4. KPX, 2014, REC Transaction, https://rec.kpx.info/main.jsp?menuId=502&lfsdMenuId=511

5. KRX (Korean Exchange), 2014, Cap & Trade, ETS, 배출권거래

6. Dong Sig Chai , John Z. Wen , Jatin Nathwani, “Simulation of Cogeneration System within Smart

Energy Network”, 2013, Energy Conversion Management 75 (2013)

7. TRNSTS Software Training Manuals

21


Q & A

22

References

1. Energy-Mix Distributed Generation Models in SEN*

* SEN : Smart Energy Networks

23

References

2. Communication Model in SEN*

* SEN : Smart Energy Networks

Consumers

24

References

3. TRNSYS Software

• Developed based on component based architecture using FOTRAN & C language by the University of Wisconsin's Solar Energy Lab in 1970s. • Several research contributors such as DLR (German Aerospace Centre), Sun Lab/SANDIA (USA) and IV- TAN (Institute for High Temperatures of the Russian Academy of Science, Russia).

• Can use various external simulation packages such as Excel, Matlab, Fluent, and EES by liking them to components. • Simulation Studio for graphic interface, TRN- Build for creating a building input file, IIS-iBat for a graphical front-end, PREBID for entering building information, TRNSED for share simulations with non-user, & SimCad for building simulation. • Use a successive substitution as a solver.

25


The end of page

26

Simulation of Cogen in Smart Energy Networks-Presentation-Dong Sig Daniel Chai

Documents

Transcript of Simulation of Cogen in Smart Energy Networks-Presentation-Dong Sig Daniel Chai