The Calculation Method of Heating and Cooling Energy Saving Potential in Urban District  Shin Do Kim,  Im Hack Lee Departm...
Green House Effect 1997 2003
Reduction Plan of  Korean GHG emission 70
Information of Seoul
Energy Flow Chart in Seoul  (2006) Electricity 47.25 Usable Energy 41.42 Wasted Energy 58.58 Trans- portation 22.66 Indust...
Energy use pattern of Sector A Gas : 48 % Electricity : 52 % A
HDD & CDD of Buildings Heating and cooling loads of buildings  are related to ambient air temperatures  HDD : Heating Degr...
Relation between heating/cooling energy and ambient temperature  Month Energy Consumption ( Gcal ) 1  3  6  9  12 Temperat...
Monthly Energy Use  Gas Consumption Electricity Consumption
Energy-Temperature Relation (Other R.) U.S.A. Case Japan Case
Energy-Temperature Relation (This R.) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep ...
Result of Grouping Patterns  ( Sub-sectors )
Energy saving Potential DB  Low Carbon & Low Environmental Pollutants  Urban Policies Creating
Spatial DB Construction with GIS  Energy
Spatial Pollutant DB with GIS  Electricity CO 2 Gas  CO 2 Road (Transportation) CO 2 Total CO 2 Directly Contributed CO 2 ...
Application - Air Dispersion Model  Wind Field (Meteorology) Elivation and Land Use Pollutant Emissions Air Dispersion Mod...
Conclusion After dividing electricity and gas energy consumptions  by three areas of energy usages called heating, cooling...
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The Calculation Method of Heating and Cooling Energy Saving Potential in Urban District - District - Shin Do Kim, Im Hack Lee

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The Calculation Method of Heating and Cooling Energy Saving Potential in Urban District - Shin Do Kim, Im Hack Lee
Department of Environmental Engineering, University of Seoul,
13 Siripdaegil, Dongdaemun-Gu, Seoul 130-743, The Republic of Korea

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The Calculation Method of Heating and Cooling Energy Saving Potential in Urban District - District - Shin Do Kim, Im Hack Lee

  1. 1. The Calculation Method of Heating and Cooling Energy Saving Potential in Urban District Shin Do Kim, Im Hack Lee Department of Environmental Engineering, University of Seoul, 13 Siripdaegil, Dongdaemun-Gu, Seoul 130-743, The Republic of Korea 2010. 3. 23
  2. 2. Green House Effect 1997 2003
  3. 3. Reduction Plan of Korean GHG emission 70
  4. 4. Information of Seoul
  5. 5. Energy Flow Chart in Seoul (2006) Electricity 47.25 Usable Energy 41.42 Wasted Energy 58.58 Trans- portation 22.66 Industrial 5.86 Public 2.27 Residential & Commercial 69.20 Petroleum 25.81 Coal 0.78 Natural gas 24.05 E.T.C. 2.03 Renewable 0.07 Building - Concerning
  6. 6. Energy use pattern of Sector A Gas : 48 % Electricity : 52 % A
  7. 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 T 0 : Ambient Temperature T i : Indoor Temperature
  8. 8. Relation between heating/cooling energy and ambient temperature Month Energy Consumption ( Gcal ) 1 3 6 9 12 Temperature -10 0 10 20 30 Gas : cooking, hot water Electricity : machine operation, lighting Heating Cooling Energy Consumption ( Gcal )
  9. 9. Monthly Energy Use Gas Consumption Electricity Consumption
  10. 10. Energy-Temperature Relation (Other R.) U.S.A. Case Japan Case
  11. 11. Energy-Temperature Relation (This R.) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  12. 12. Result of Grouping Patterns ( Sub-sectors )
  13. 13. Energy saving Potential DB Low Carbon & Low Environmental Pollutants Urban Policies Creating
  14. 14. Spatial DB Construction with GIS Energy
  15. 15. Spatial Pollutant DB with GIS Electricity CO 2 Gas CO 2 Road (Transportation) CO 2 Total CO 2 Directly Contributed CO 2 [tCO 2 /km 2 ∙year]
  16. 16. Application - Air Dispersion Model Wind Field (Meteorology) Elivation and Land Use Pollutant Emissions Air Dispersion Model Simulations of Sustainable Policies
  17. 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

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