totara bank project 2008 energy postgraduate conference léa sigot - sylvain lamige supervisor:...
Post on 27-Dec-2015
228 Views
Preview:
TRANSCRIPT
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
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
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
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
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
Modelling capabilities
Heating energy required [kWh/year]
Building Performance Index (BPI) [kWh/(DegreeDay.m²)]
Design option comparison
Thermal analysis of buildings: Software review – ALF3
Thermal analysis of buildings: Software review – ALF3
ALF flow chart
Modelling capabilities
Heating energy required [kWh/year]
Building Performance Index (BPI) [kWh/(DegreeDay.m²)]
Design option comparison
Thermal analysis of buildings: Software review – ALF3
Thermal analysis of buildings: Software review – ALF3
ALF sample design comparison
Input requirements
Dwelling characteristics
Occupancy behaviour
Climate region
Thermal analysis of buildings: Software review – ALF3
Thermal analysis of buildings: Software review – ALF3
ALF flow chart
Input requirements
Dwelling characteristics
Occupancy behaviour
Climate region
Thermal analysis of buildings: Software review – ALF3
Thermal analysis of buildings: Software review – ALF3
ALF flow chart
Input requirements
Dwelling characteristics
Occupancy behaviour
Climate region
Thermal analysis of buildings: Software review – ALF3
Thermal analysis of buildings: Software review – ALF3
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
Thermal analysis of buildings: Data collection – Climate
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
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
Thermal analysis of buildings: Data collection – Climate
Thermal analysis of buildings: Data collection – Climate
Monthly average temperature for Waitakere NOW Home® & Totara Bank
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
tem
pe
ratu
re [
°C]
Central Auckland Waingawa & Masterton
Average Waitakere Average Totara Bank
Average difference: 3.2 °C
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
Long-term average monthly sunshine hours for Totara Bank (1995-2007)
0
50
100
150
200
250
300
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Month of year
Mo
nth
ly a
vera
ge
sun
shin
e [h
]
Average Minima Maxima
Thermal analysis of buildings: Data collection – Climate
Long-term average monthly sunshine hours (1995-2007)
0
50
100
150
200
250
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Month of year
Mo
nth
ly a
vera
ge
sun
shin
e [h
]
Waitakere Totarabank
Thermal analysis of buildings: Data collection – Climate
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
Thermal analysis of buildings: Data collection – Climate
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
Electrical generation system analysis
Software review: HOMER
Description
Modelling capabilities
Input requirements
Already done projects
Electrical generation system analysis
Description
Developed by the American National Renewable Energy Laboratory (NREL)
Hybrid Optimization Model for Energy Renewables
Electrical generation system analysis: Software review – HOMER
Modelling capabilities
Generation system simulationEnergy balance
OptimisationRanked by cost
Sensitivity analysis
Electrical generation system analysis: Software review – HOMER
Input requirements
Resources
Technologies
Electrical demand
Electrical generation system analysis: Software review – HOMER
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
Electrical generation system analysis: Software review – HOMER
Software review: ViPOR
Electrical generation system analysis: Software review – ViPOR
Description
Modelling capabilities
Input requirements
Description
Developed by the American National Renewable Energy Laboratory
The Village Power Optimization Model for Renewable
In association with HOMER
Electrical generation system analysis: Software review – ViPOR
Modelling capabilities
Intern grid designWire lengthLoad kind
Grid-interaction scenariosElectricity price
Electrical generation system analysis: Software review – ViPOR
Spatial inputs
Non-spatial inputs
Electrical generation system analysis: Software review – ViPOR
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
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
Average wind speed: 3,2 m/s
Electrical generation system analysis: Data collection – Resource
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
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
Electrical generation system analysis: Data collection – Resource
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
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
Electrical generation system analysis: Data collection – Resource
Electrical generation system analysis: Data collection – Resource
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
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
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
Electrical generation system analysis: Data collection – Resource
Next steps
Technological dataDatabaseCost estimation
Electrical demand dataHourly electrical demand record
Electrical generation system analysis: Data collection
Totara Bank project
2008 Energy Postgraduate Conference
Léa Sigot - Sylvain Lamige
Supervisor: Attilio Pigneri
top related