1

The Calculation Method of Heating and Cooling Energy Saving Potential in

Urban District

Shin Do Kim, Im Hack LeeDepartment of Environmental Engineering, University of Seoul,

13 Siripdaegil, Dongdaemun-Gu, Seoul 130-743, The Republic of Korea

2010. 3. 23

2

Green House Effect

1997 2003

3

Reduction Plan of Korean GHG emission

70

4

Information of Seoul

5

Energy Flow Chart in Seoul (2006)

Electricity47.25

UsableEnergy41.42

WastedEnergy58.58

Trans-portation

22.66

Industrial5.86

Public2.27

Residential&

Commercial69.20

Petroleum25.81

Coal0.78

Natural gas24.05

E.T.C.2.03

Renewable0.07

Building - Concerning

6

Energy use pattern of Sector A

Gas : 48 %Electricity: 52 %

A

7

HDD & CDD of Buildings

Heating and cooling loads of buildings are related to ambient air temperatures

HDD : Heating Degree Days CDD : Cooling Degree Days T0 : Ambient Temperature Ti : Indoor Temperature

8

Relation between heating/cooling energy and ambient temperature

Month

Energ

y C

on

sum

pti

on (

Gca

l )

1 3 6 9 12

Temperature -10 0 10 20 30

Gas : cooking, hot waterElectricity : machine operation, lighting

HeatingCooling

Energ

y C

on

sum

pti

on (

Gca

l )

9

Monthly Energy Use Gas Consumption

Electricity Consumption

10

Energy-Temperature Relation (Other R.)

U.S.A. Case Japan Case

11

Energy-Temperature Relation (This R.)

Jan

FebMar

Apr

May

Jun

Jul

AugSepOct

Nov

Dec

Jan

FebMar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

12

Result of Grouping Patterns

( Sub-sectors )

13

Energy saving Potential DB

Low Carbon & Low Environmental Pollutants Urban Policies Creating

14

Spatial DB Construction with GIS

Energy

15

Spatial Pollutant DB with GIS

Electricity CO2 Gas CO2 Road (Transportation) CO2

Total CO2 Directly Contributed CO2

[tCO2/km2∙year]

16

Application - Air Dispersion Model

Wind Field (Meteorology)

Elivation and Land Use

Pollutant Emissions

Air Dispersion Model

Simulations of Sustainable Policies

17

Conclusion

After dividing electricity and gas energy consumptions by three areas of energy usages called heating, cooling and others, we could calculate the inner areas of the heating/cooling energy-temperature relation shapes, and we may produce energy saving potentials.

With this calculating method we can produce the spatial energy using data and energy saving potentials in spatially various governments, and we can produce environmental emission data for air dispersion models using for making environmental policies