Totara Bank project 2008 Energy Postgraduate Conference Léa Sigot - Sylvain Lamige Supervisor:...

Totara Bank project

2008 Energy Postgraduate Conference

Léa Sigot - Sylvain Lamige

Supervisor: Attilio Pigneri

Presentation overview Context Totara Bank project outlines Previous work On-site visit Thermal analysis of building design and siting options

Objectives Waitakere NOW Home® Software review:

ALF3 Data collection:

Climate data Techno-economic analysis of distributed generation options from

renewable energy sources and grid-interaction scenarios Objectives Methodology Software review:

HOMER ViPOR

Data collection Resource data Technological data Electrical demand data

Context of our research project within our studies

Our school: National Institute of Applied Sciences

(INSA) of Lyon

Our department: Energy & Environment Engineering

Our research project: A five-month research project during our fourth year

Totara Bank project outlines

A sustainable land development, with:

Energy efficient houses, based on solar principle design

On-site electricity generation from renewable sources

Life in community

http://duncans.org.uk/totarabank/siteplan.htm

On-site visit

Site location

Plot contours

Common facilities

Wairarapa district

Location

8 km south of

Masterton

Totara Bank site

7 hectares

8 lots

Common facilities

Pole connection

Common house

Road access

Coppicing trees

Previous work

Land layout

Whole solar access planning

Optimized eaves shade angles

Site thermal self-sufficiency

Land layout

7 hectares:8 individual lots (1200-2100 m²)6 hectare common land

Soil-adapted tree plantation

An optimized land layout

Previous work

Previous work: Land layout

Land layout




Previous work

Whole solar access planning

85 % solar energy capture

Solar obstruction contours

Previous work

Previous work: Solar obstruction contours

Optimized eaves shade angles

Avoid summer over-heating and

winter under-heating

Site-suited angles

Previous work

OptimizedTraditional

Site thermal self-sufficiency

Dwelling minimal thermal efficiency, based on:Building Performance Index (BPI)Floor area

On-site fuel resource:0.6 ha of coppicing trees

Previous work

Thermal analysis of building design and siting options

Objectives

Waitakere NOW Home®

Software review: ALF3

Data collection

Objectives

Model energy performance of a baseline house

How much heating energy is required? Is the site resource sufficient?What can be done to improve the site thermal

self-sufficiency?

Thermal analysis of buildings

Designed, built and monitored by Beacon Pathway Ltd

Efficient building best practices

Suit an average family Affordable

Thermal analysis of buildings: Data collection – Dwelling characteristics

Waitakere NOW Home®

Software review: ALF3

Thermal analysis of buildings

Description

Modelling capabilities

Input requirements

Description

Annual Loss Factor Method

Developed by the Building Research Association of New Zealand (BRANZ)

Determine the heating energy required

Thermal analysis of buildings: Software review – ALF3


Heating energy required [kWh/year]

Building Performance Index (BPI) [kWh/(DegreeDay.m²)]

Design option comparison



ALF flow chart


Heating energy required [kWh/year]

Building Performance Index (BPI) [kWh/(DegreeDay.m²)]

Design option comparison



ALF sample design comparison

Input requirements

Dwelling characteristics

Occupancy behaviour

Climate region



ALF flow chart

Input requirements


Occupancy behaviour

Climate region



ALF flow chart

Input requirements


Occupancy behaviour

Climate region



ALF flow chart

Climate data

Meteorological station location

Long-term average monthly temperatureALF-value calculation

Long-term average monthly sunshine hoursAGF-value calculation

Thermal analysis of buildings: Data collection – Climate

Climate data





Long-term monthly temperatures for Totara Bank (1995-2007)

0

5

10

15

20

25

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Month of year

Mo

nth

ly a

ve

rag

e t

em

pe

ratu

re [

°C]

Minima

Maxima

Average



Monthly average temperature for Waitakere NOW Home® & Totara Bank

0

5

10

15

20

25


Month of year

Mo

nth

ly a

ve

rag

e

tem

pe

ratu

re [

°C]

Central Auckland Waingawa & Masterton

Average Waitakere Average Totara Bank

Average difference: 3.2 °C

Climate data





Long-term average monthly sunshine hours for Totara Bank (1995-2007)

0

50

100

150

200

250

300


Month of year

Mo

nth

ly a

vera

ge

sun

shin

e [h

]

Average Minima Maxima


Long-term average monthly sunshine hours (1995-2007)

0

50

100

150

200

250


Month of year

Mo

nth

ly a

vera

ge

sun

shin

e [h

]

Waitakere Totarabank


Climate data






ALF-values comparison between "ALF3" and "Calculated" for Totara Bank

05

1015202530354045

16 °C 18 °C 20 °C 16 °C 18 °C 20 °C 16 °C 18 °C 20 °C 16 °C 18 °C 20 °C Heating level

AL

F-v

alu

e [1

000.

°C.h

]

ALF3

Calculated

Schedule 1 Schedule 2 Schedule 3 Schedule 4Evening Morning/evening All day 24 hHeating

schedule

Thermal analysis of building design and siting options

To be continued…

Model template for Waitakere NOW Home® in Totara Bank site

Heating energy required for the whole Totara Bank site

Part provided by the coppicing area

Techno-economic analysis of distributed generation options from renewable energy

sources and grid-interaction scenarios

Objectives Methodology Software review:

HOMERViPOR

Data collection:Resource dataTechnological dataElectrical demand data

Objectives

Techno-economic analysis of distributed generation options from renewable energy sources

and grid-interaction scenarios

What type of generation mix? Trade-of between electrical requirements and on-

site generation costs What electrical self-sufficiency level can be

achieved?

Electrical generation system analysis

Methodology

Using HOMER:Determine the optimal generation system

Using ViPOR:Draw the local network map


Software review: HOMER

Description


Input requirements

Already done projects


Description

Developed by the American National Renewable Energy Laboratory (NREL)

Hybrid Optimization Model for Energy Renewables

Electrical generation system analysis: Software review – HOMER


Generation system simulationEnergy balance

OptimisationRanked by cost

Sensitivity analysis


Input requirements

Resources

Technologies

Electrical demand


Already done projects

Sicud project:

Small village in Philippines

Wind, solar and fuel resource

Methodology

Impact of wind speed and fuel price

Usefulness of sensitivity analysis


Software review: ViPOR

Electrical generation system analysis: Software review – ViPOR

Description


Input requirements

Description

Developed by the American National Renewable Energy Laboratory

The Village Power Optimization Model for Renewable

In association with HOMER



Intern grid designWire lengthLoad kind

Grid-interaction scenariosElectricity price


Spatial inputs

Non-spatial inputs


Input requirements

Available data Hourly wind speed and direction Hourly global solar radiationProfile development Wind resource:

Long-term average hourly profile Wind speed frequency distribution curve Wind rose

Solar resource Long-term average hourly profile Daily profile per month

Electrical generation system analysis: Data collection

Resource data

Electrical generation system analysis: Data collection – Resource





Resource data

Average wind speed: 3,2 m/s






Resource data

Long-term average wind speed frequency distribution curve (1995-2007)

0

500

1000

1500

2000

2500

0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5 8,5 9,5 10,5 11,5 12,5 13,5 > 14

Wind speed (m/s)

No

. of

ho

urs

pe

r y

ea

r o

f e

ac

h w

ind

sp

ee

d

ba

nd

55 % of wind speed < 3 m/s






Resource data

East Taratahi Aws wind rose over a thirteen-year period (1995-2007)

0%

1%

2%

3%

4%

5%

6%360

10 2030

4050

60

70

80

90

100

110

120

130140

150160170

180190200

210220

230

240

250

260

270

280

290

300

310320

330340 350

> 12,5

10,5 - 12,5

8,5 - 10,5

6,5 - 8,5

4,5 - 6,5

2,5 - 4,5

0,5 - 2,5

□ Variable direction (≈ 0,5 m/s): 7,5 %

□ Calm (<0,5 m/s): 2,65 %

Average wind speed: 3,2 m/s

North

East

South

West

Wind speed (m/s)

Drawn using hourly wind speed records from East Taratahi Aws between 1995 and 2007

Direction: wind blowing from






Resource data

Long-term daily hourly average global solar radiation (1995-2007) for each month

0,00

0,10

0,20

0,30

0,40

0,50

0,60

0,70

0,80

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Time of day (h)

So

lar

rad

iati

on

(k

W/m

²)

January

February

March

April

May

June

July

August

September

October

November

December


Next steps

Technological dataDatabaseCost estimation

Electrical demand dataHourly electrical demand record


Totara Bank project

2008 Energy Postgraduate Conference

Léa Sigot - Sylvain Lamige

Supervisor: Attilio Pigneri

Totara Bank project 2008 Energy Postgraduate Conference Léa Sigot - Sylvain Lamige Supervisor:...

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Transcript of Totara Bank project 2008 Energy Postgraduate Conference Léa Sigot - Sylvain Lamige Supervisor:...