presentation file in Meetup Taiwan

1. What is next step in Open Data ? /
meetupTaiwan
Taro Mori, Graduate School of Engineering, Hokkaido Univ.,
Laboratory of Building Environment
建築環境学研究室

2. What is Building Environment (建築環境学研究室)?
Research Fields
Indoor environment (室内環境)
temperature, humidity, IAQ
Energy efficiency (省エネルギーな建物)
Insulation (断熱)
HVAC system (空気調和システム)
Wood construction (木造建築)
Etc.
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3. Open data in Building Environment
Climate Data (to evaluate thermal load, etc.)
Row climate data by JMA, CC by 4.0
(http://www.jma.go.jp/jma/kishou/info/coment.html)
1327 (about 900 points work now) points in Japan.
Almost municipality have their points. The farthest
point is Suttu for Shimamaki village (about 16km)
in Hokkaido
Standard weather data
Winter / Summer design day data is free
Annual hourly data is not free (expensive).
Because the data needs statistical treatment.
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© OpenStreetMap contributors

4. S-net 3
Sapporo city has S-net system. The system has 57
points around Sapporo city.
But the data is really expensive.
Then NO ONE USE IT.
Sapporo city use TAX to make those point.
I’M NOT SURE WHY THEY PURCHASE MONEY?

5. Open data in Building Environment
GIS Data
都市計画基礎調査
The data
(not OD but free data) has
Number of stories
Building area
Building site area
Construction type
Etc.
Of each buildings
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札幌駅
解析対象のエリア(赤枠
)
PV panel generation

6. Orthographic projection
Coupled with solar position and
climate data
climate data on the site
How to calculate PV generation

7. 0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
1930
1934
1938
1942
1946
1950
1954
1958
1962
1966
1970
1974
1978
1982
1986
1990
1994
1998
2002
2006
2010
Numberofhouse
Year
Data set from GIS data (都市計画基礎調査)
Number of house vs established year
Vacant house problem is serious in Japan.
We study how to renovate and how to demolish
those house
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8. Statistics Japan
Of-course, Statistics Japan provides important OD
Housing and Land survey provides the information
kinds of residence in a area (structure, building
area etc.)
people who live in each buildings (income,
number of family, etc.)
We calculate Fuel Poverty by using those data.
Fuel Poverty means low income households who cannot afford to keep
adequately warm at a reasonable cost, given their income. (wikipedia)
Quality of residence for low income household is low. It needs more heating
energy than normal residence, but they don’t have enough money. Then IAQ
is serious, the situation cause health problem to children and elderly people. It
needs money to go to hospital. Then they lose money. Bad spiral.
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9. FP rate
In UK, the definition of FP is household with
Energy cost / Income > 10%
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10. Ministry of Health, Labor and Welfare
MHLW provides vital statistics (OD and semi – OD
with some agreement)
Winter death situation
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0
500
1000
1500
2000
2500
Jan-72
Jan-73
Jan-74
Jan-75
Jan-76
Jan-77
Jan-78
Jan-79
Jan-80
Jan-81
Jan-82
Jan-83
Jan-84
Jan-85
Jan-86
Jan-87
Jan-88
Jan-89
Jan-90
Jan-91
Jan-92
Jan-93
Jan-94
Jan-95
Jan-96
Jan-97
Jan-98
Jan-99
Jan-00
1-Jan
2-Jan
3-Jan
4-Jan
5-Jan
6-Jan
7-Jan
8-Jan
9-Jan
10-Jan
11-Jan
12-Jan
13-Jan
14-Jan
15-Jan
Hokkaido Tokyo
Number of death, over 60 in house (not hospital)

11. Toward the OD society
We have made many database for buildings such as
building energy consumption, housing history, etc.
But the owner has the full right with their database
(under confidential agreement, etc.).
Then, we can not analyze those data.
The FIRST STEP is really important. WE have to
include the concept of OD when we make the
dataset. Especially the gov. arrange those
database.
If not, just a collection (No one use it or JUST Some
special person use it. )
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