Demand-side Characterization of the Smart City for Energy Modelling☆

This paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy perform ance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to fa cilitate the design of sustainable, energy efficient smart cities.

[1]  C Christian Struck,et al.  Uncertainty propagation and sensitivity analysis techniques in building performance simulation to support conceptual building and system design , 2012 .

[2]  Andreas K. Athienitis,et al.  A computer method for systematic sensitivity analysis of building thermal networks , 1989 .

[3]  H. Buchberg.  Sensitivity of room thermal response to inside radiation exchange and surface conductance , 1971 .

[4]  Luigi Marletta,et al.  Sensitivity analysis for room thermal response , 1993 .

[5]  Kevin J. Lomas,et al.  Sensitivity analysis techniques for building thermal simulation programs , 1992 .

[6]  N. Carlisle,et al.  Low-Energy Building Design Guidelines: Energy-Efficient Design for New Federal Facilities , 2001 .

[7]  P. Waddell.  UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[8]  Joseph C. Lam,et al.  Sensitivity analysis of energy performance of office buildings , 1996 .

[9]  A. Uihlein,et al.  Environmental Improvement Potentials of Residential Buildings (IMPRO-Building) , 2008 .

[10]  Christian Struck,et al.  On the Application of Uncertainty and Sensitivity Analysis with Abstract Building Performance Simulation Tools , 2009 .

[11]  Keith C. Clarke,et al.  The role of spatial metrics in the analysis and modeling of urban land use change , 2005, Comput. Environ. Urban Syst..

[12]  M. Thring.  World Energy Outlook , 1977 .

[13]  H. Buchberg.  Sensitivity of the thermal response of buildings to perturbations in the climate , 1969 .

[14]  A. Rasheed,et al.  CITYSIM: Comprehensive Micro-Simulation of Resource Flows for Sustainable Urban Planning , 2009 .