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On prerequisites to large scale rollout of CSP in Southern Africa : models, plants and resources

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Fakulteit Ingenieurswese

Faculty of Engineering

© Stellenbosch University

of CSP in Southern Africa:

Models, Plants and Resources

Paul Gauché

Dept. Mechanical & Mechatronic Research Lecture 22 November 2010

(2)

© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(3)

© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(4)

© Stellenbosch University

Where STERG Fits

Engineering Faculty

Mechanical and Mechatronic

Mechanical and Mechatronic

Engineering

Centre for Renewable and

Sustainable Energy Studies

Solar Thermal Energy

Research Group

DST

Other

/

Other Depts/

Universities

National Hub Spokes etc. Solar Spoke

(5)

© Stellenbosch University

Solar Thermal History at SU

Research and Academic Committee Representative

1980 - 1989 1990 - 1999 2000 – 2009 2010

-SOLAR THERMAL ENERGY RESEARCH GROUP

Solar Resource Station at SU Solar Chimney Research Commences

Dry Cooling Research Commences

Solar Roof Lab Commissioned National RE Centre Founded First Parabolic Trough Research

(6)

© Stellenbosch University

STERG Research Structure

STERG Holistic/Multidisciplinary Research STERG Holistic/Multidisciplinary Research Social & Political

Sciences

Social & Political

Sciences Engineering Economic Sciences

System R&D (Modelling, Techno-economic, System R&D (Modelling, Techno-economic,

Resources, etc)

Component R&D: Eg. Dry

Component R&D: Eg. Dry

Cooling Component Component R&D: Eg. Thermal Storage Component Component R&D: Eg. Heliostats Solar Resource Measure & R&D SUNSTEL SUNSTEL

Stellenbosch University Solar Thermal Electricity Project SWH, Process Heat, Desalination SWH, Process Heat, Desalination etc.

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© Stellenbosch University

Primary sponsors:

OSP/Hope Project, Sasol, DST

Full time solar thermal energy researcher,

engineer, technician (½)

15+ Staff and post-graduate students

Extended solar roof lab (954m

2

)

Solar & weather resource measurement station

Multiple heat transfer and wind-tunnel labs.

Existing Solar Lab Solar Lab Extension in 2011

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© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(9)

© Stellenbosch University

Research Objective

Title: Techno-Economic Prerequisites to Large Scale

Rollout of Concentrating Solar Power in Southern Africa

Promoters: Prof. T.W von Backström & Prof A.C. Brent (School of Public Leadership)

Advisory: Prof. D.G. Kröger, Prof. J.L. van Niekerk, [Dr.] H.C.R. Reuter

Objective: Holistic project for SA to be “technology

ready”. Covers:

Ability to model plants (from decision making to dispatch)

• Understand technology asymptotes and 2050

Address the “we don’t know what we don’t know” through encouraging/building any and all research/pilot/demo plants

• Build scenarios of the large scale rollout considering

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© Stellenbosch University

Research Objective

Reason: Early-stage for CSP in Southern Africa  Need

macro level technology expertise for urgently needed planning at IRP (Integrated Resource Planning) level

Strategic & Appropriate: CSP could be to 21st century

South Africa what the Fischer–Tropsch process was to 20th

century South Africa

Other:

• Fits well with STERG coordination

• Past multidisciplinary experience

(11)

© Stellenbosch University

Agenda

Background

Research objective

Modelling • Plants • Resources • Risks

Conclusions

(12)

© Stellenbosch University

System Modelling for CSP Plants

Tool Pros Cons

System Advisor Model (SAM) by National Renewable Energy Lab (NREL)

•Quite easy

•Good solver (TRNSYS) •Is validated

•Highly restrictive to built in configs

TRNSYS by University Wisconsin •Good solver

•Flexible use

•Very difficult to use for the untrained user

DLR consortium •Hope for a standard •Proprietary and hard

to get in?

Flownex •SA tool and support •Doesn’t do any solar

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© Stellenbosch University

Proposal: Own Code for SUNSTEL

SUNSTEL (Stellenbosch University Solar Thermal Electricity Project)

SUNSTEL Power Power block tool for CSP SUNSTEL TES Thermal energy storage tool for CSP SUNSTEL Cool Condenser tool for CSP SUNSTEL Any other componen ts SUNSTEL Optical Optical tool for CSP SUNSTEL lite

High level system level tool for quick analysis of CSP plants

SUNSTEL design

Low level (detailed) system level tool for design analysis of CSP plants

SUNSTEL Dispatch

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© Stellenbosch University

SUNSTEL Lite

• Approach per objective

• Only the appropriate level of modelling for needs (Eg. Decision makers)

• Looks at the big 5

• Central Receiver

• Parabolic Trough

• Linear Fresnel

• Dish Stirling

• Solar Chimney (Special case)

• Applies same rules to all (provide basis for comparison)

• Uses hourly data for solar and weather (Day, Month, Hour, DNI, Ta, Wet bulb, Wind speed)

• Quasi-transient analysis for

• Energy balance

• Chambadal-Novikov engine (Modified Carnot)

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© Stellenbosch University Heat Engine Heliostat Field for 1 Module Tower Zone (No Heliostats) Receiver Height

Heliostat Field Width/Length Min Heliostat Distance Tower Height Receiver Width/Diameter Maximum Heliostat Distance

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© Stellenbosch University

Heliostat Distance to Tower

Tower Height

Reflection

(17)

© Stellenbosch University

(~infinitesimal) Reflector Square Reflector *Subtending angle of the sun. Casts Ø 9.3m image per 1,000m focal

(18)

© Stellenbosch University Normal Image Outline

Perfectly Flat Square Reflector

Normal Image Outline

Real Flat Square

Reflector

Shape and

Size Impact

Angled Image Outline on

Receiver

Real Flat Square Reflector

to reflection

Angle

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© Stellenbosch University

Conceptual Modelling Approach

Heat Engine Solar Energy In Based on multiple efficiencies Solar Reflected Thermal

Radiation Loss Thermal Convection Loss

Thermal Energy Out Flow rate set for power block Tmax

Power = 1 – SQRT(Th-Ta) Th = Tmax

Ta = Dry bulb or wet bulb Trec

(20)

© Stellenbosch University

Example of DNI – 10 Days in Upington

0 200 400 600 800 1000 1200 0 50 100 150 200 D NI [ W/m 2]

Hours of the Year

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© Stellenbosch University

10 Days of Power – 2.5MWe plant

0 1000000 2000000 3000000 4000000 5000000 6000000 7000000 8000000 -10 40 90 140 190 240 E nergy o r P o we r [W]

Hours of the Year

Energy and Power

E_out total plant Power generation Energy dump

(22)

© Stellenbosch University

Annual Production – 2.5MWe Upington Plant

0 1 2 3 4 5 6 0 50 100 150 200 250 300 350 400 Cu m ul ati ve P o we r [G Wh ]

Days of the Year

(23)

© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(24)

© Stellenbosch University

Research – Pilot – Demo Plants

• We don’t know what we don’t know

• Need to take small steps and grow skills locally • Design • Build • Model • Run • Debug • Improve

• Build local industry

• …

• Any and all sizes & types

• Small (3kWe) troughs and LFRs

• Pilot sized central receivers at 5MWe

(25)

© Stellenbosch University

Plants

• SUNSPOT high efficiency combined cycle concept – Prof Kröger concept

• May have an excellent chance to do something like this with an industrial partner

(26)

© Stellenbosch University

Plants

• Solar Thermal Group (STG) Organic Rankine CSP system for Spier

(27)

© Stellenbosch University

Plants

• Other opportunities

• Technology vendors looking for places to put pilots

• Spier to go carbon neutral by 2017  1-2MWe CSP plant

(28)

© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(29)

© Stellenbosch University

(30)

© Stellenbosch University

Rollout Model taking Resource Into Account

Hail

Mockup on Models of Rollout

Locating Plants

(31)

© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(32)

© Stellenbosch University

Risks (SWOT)

Strengths Weakness

Multidisciplinary and holistic research

Covers system technology and reviews state of art at system level – applicable in SA where the technology and industry is new

Close match to job description and sponsor interests

Close match with candidate experience

Lacks in-depth fundamental research in one particular area

Inability to perform laboratory experiments May be wider in scope than any one

promoter can comfortably handle

Opportunities Risks

Highest level of knowledge transfer to the public (and University)

High level of learning about CSP for the candidate – good level of employability

May help to broaden solar thermal energy research group into multidisciplinary realm

University acceptance of multidisciplinary research topic

Harder to constrain the work – volume could spiral – risk of completion

Validation and experimentation is either abstract or requires significant financial

investment or is of timeframe not in PhD realm : Addressed in planning

(33)

© Stellenbosch University

Agenda

Background

Research objective

• Modelling • Plants • Resources • Risks

Conclusions

(34)

© Stellenbosch University

Conclusions

• Looking towards 2050 – For SA to take the opportunity

• Macro level research – has risks

• Work starting with models – showing good promise

• Ability to simulate is important for SA – many topics!

• We believe the small steps approach and getting plants built is critical

• Appropriate technology, skills, locations for the rollout

(35)

© Stellenbosch University

Thank You

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