District-scale simulation for multi-purpose evaluation of urban energy systems

This article presents a simulation model for application to several commercial sector buildings in a particular area to analyse the impact of changes in buildings and building energy systems on the issue domains of mitigation of global warming and heat island phenomena as well as the planning of urban infrastructures for electricity and water. The impact on these issue domains is evaluated using five indicators: primary energy consumption, carbon dioxide emission, sensible anthropogenic heat release, peak electricity demand and water consumption by cooling towers. This article explains the modelling methodology, the simulation model including databases and a case study carried out to demonstrate the simulation capacity of the model. The case study shows that the form and function of buildings influence energy consumption and the five indicators significantly. The trade-off relationship is also shown between the five indicators with respect to changes in the heat-source system of buildings.

[1]  Mark Jaccard From equipment to infrastructure: community energy management and greenhouse gas emission reduction , 1997 .

[2]  Keisuke Hanaki,et al.  Improvement of urban thermal environment by managing heat discharge sources and surface modification in Tokyo , 2002 .

[3]  Viktor Dorer,et al.  Performance assessment of fuel cell micro-cogeneration systems for residential buildings , 2005 .

[4]  Minoru Mizuno,et al.  District level energy management using a bottom-up modeling approach , 2005 .

[5]  Hisaya Ishino,et al.  Examination on Expanded AMeDAS Design Weather Data for HVAC Systems , 2005 .

[6]  Minoru Mizuno,et al.  Transition to a sustainable urban energy system from a long-term perspective: Case study in a Japanese business district , 2007 .

[7]  M. S. De Wit,et al.  Identification of the important parameters in thermal building simulation models , 1997 .

[8]  K. Khan,et al.  Energy conservation in buildings: cogeneration and cogeneration coupled with thermal energy storage , 2004 .

[9]  Keisuke Hanaki,et al.  Estimation of heat rejection based on the air conditioner use time and its mitigation from buildings in Taipei City , 2007 .

[10]  Andrew Stone,et al.  SUNtool - A new modelling paradigm for simulating and optimising urban sustainability , 2007 .

[11]  Supachart Chungpaibulpatana,et al.  Application of cool storage air-conditioning in the commercial sector: an integrated resource planning approach for power capacity expansion planning and emission reduction , 2001 .

[12]  Minoru Mizuno,et al.  Study on energy consumption characteristics of a small scale building with unit air conditioner , 2002 .

[13]  H. Kondo,et al.  Development of a numerical simulation system toward comprehensive assessments of urban warming countermeasures including their impacts upon the urban buildings' energy-demands , 2003 .

[14]  Atushi Akisawa,et al.  Potential evaluation of energy supply system in grid power system, commercial, and residential sectors by minimizing energy cost , 2007 .

[15]  住吉 大輔,et al.  EFFECTS ON ENERGY CONSERVATION BY INVERTER CONTROLS OF HEAT SOURCE EQUIPMENT IN BUILDING AIR-CONDITIONING SYSTEM OPERATIONS , 2003 .

[16]  Maria Kolokotroni,et al.  The balance of the annual heating and cooling demand within the London urban heat island , 2002 .