Multiple criteria decision support web‐based system for building refurbishment

Abstract In order to design and realise an efficient building refurbishment, it is necessary to carry out an exhaustive investigation of all solutions that form it, ie planimetric and volumetric changes, the elimination of building deterioration and obsolescence, the improvement of architectural and aesthetic appearance and indoor environmental quality, etc). The efficiency level of the considered building's refurbishment depends on many factors, including cost of refurbishment, annual fuel economy after refurbishment, tentative pay‐back time, harm to health of the materials used, aesthetics, maintenance properties, functionality, comfort, sound insulation and longevity, etc. Solutions of an alternative character allow for a more rational and realistic assessment of economic, ecological, legislative, climatic, social and political conditions, traditions and for better satisfaction of architectural, comfort, functional, maintenance and other customer's requirements. They also enable one to cut down on refu...

[1]  J.-L. Genre,et al.  Diagnosis of the degradation state of building and cost evaluation of induced refurbishment works , 2000 .

[2]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[3]  John Palmer,et al.  The effect of external atmospheric pollution on indoor air quality: A pilot study , 1998 .

[4]  Toshiaki Omori,et al.  Thermal comfort and energy consumption of the radiant ceiling panel system.: Comparison with the conventional all-air system , 1999 .

[5]  Philomena M. Bluyssen.  EPIQR and IEQ: indoor environment quality in European apartment buildings , 2000 .

[6]  Zhang Lin,et al.  Global optimization of absorption chiller system by genetic algorithm and neural network , 2002 .

[7]  Christopher Goodacre,et al.  Integrating energy efficiency with the social agenda in sustainability , 2002 .

[8]  Ian F. C. Smith,et al.  Case Based Design in Architecture , 1994 .

[9]  John Palmer,et al.  Energy performance indoor environmental quality retrofit — a European diagnosis and decision making method for building refurbishment , 2000 .

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

[11]  Claude-Alain Roulet,et al.  Indoor environment quality in buildings and its impact on outdoor environment , 2001 .

[12]  Leon R. Glicksman,et al.  Simulation of wind driven ventilative cooling systems for an apartment building in Beijing and Shanghai , 2002 .

[13]  Bruno Peuportier,et al.  Life cycle assessment applied to the comparative evaluation of single family houses in the French context , 2001 .

[14]  Tassos G. Karayiannis,et al.  Multi-parameter building thermal analysis using the lattice method for global optimisation , 2001 .

[15]  M. Paciuk,et al.  Inter-related effects of cooling strategies and building features on energy performance of office buildings , 2002 .

[16]  D. Kolokotsa,et al.  Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfaction , 2001 .

[17]  Erik Brandt,et al.  Assessment of building conditions , 2002 .

[18]  S Mazouz,et al.  The integration of environmental variables in the process of architectural design: The contribution of expert systems , 2001 .

[19]  Vincenc Butala,et al.  Energy consumption and potential energy savings in old school buildings , 1999 .

[20]  Viktor Dorer,et al.  Air, contaminant and heat transport models: integration and application , 1999 .

[21]  Constantinos A. Balaras,et al.  TOBUS — A European method and software for office building refurbishment , 2002 .

[22]  Franc Sodec,et al.  Economic viability of cooling ceiling systems , 1999 .

[23]  F. Rey,et al.  Experimental study of indoor air quality, energy saving and analysis of ventilation norms in climatised areas , 2000 .

[24]  D Caccavelli,et al.  TOBUS — a European diagnosis and decision-making tool for office building upgrading , 2002 .

[25]  Tamami Kusuda,et al.  Building environment simulation before desk top computers in the USA through a personal memory , 2001 .

[26]  Paul Fazio,et al.  Development of an energy rating system for existing houses , 1999 .

[27]  Francis W.H. Yik,et al.  Energy performance of windows in high-rise residential buildings in Hong Kong , 2002 .

[28]  J.-L. Genre,et al.  Building refurbishment: habitat upgrading , 2000 .