Civil Engineering Reference
In-Depth Information
as CFD or other simulation software. If accurate results are required, each
evaluation can be time consuming, and thus the complete computational process
becomes extremely unattractive.
• GAINN is one of the techniques to deal with this problem by approximating the
system under study by an ANN whose results are then used within the GA.
3 Conclusion
In face of a large set of choices for retrofitting a building, the main issue is to
identify those that prove to be the most effective in the long term. When choosing
among a variety of proposed measures, the DM (the building expert) has to rec-
oncile environmental, energy, financial, legal regulation, and social factors to
reach the best possible compromise solution to satisfy the final occupant needs.
Therefore, MCDA and MOP models are essential tools to assist the DM in
rationalizing the comparison between non-dominated solutions and assess the
trade-offs at stake between those distinct evaluations aspects.
Thus, there is a need for further development of decision-aid systems based on
MCDA and MOP to support building experts in the application of their expertise
and assist less-experienced decision makers (DM), while taking into account the
continuous development of technological advances in energy-efficient solutions.
Acknowledgments This work is framed under the Energy for Sustainability Initiative of the
University of Coimbra and was partially supported by the Foundation for Science and Tech-
nology (FCT) under Grant SFRH/BD/68937/2010, through the MIT-Portugal Program, and
Project Grants MIT/SET/0018/2009 and PEst-C/EEI/UI0308/2011, and R&D Project EM-
SURE—Energy and Mobility for Sustainable Regions (CENTRO 07 0224 FEDER 002004).
References
Alanne K (2004) Selection of renovation actions using multi-criteria ''knapsack'' model. Autom
Constr 13:377-391
Alanne K, Salo A, Saari A, Gustafsson S (2007) Multi-criteria evaluation of residential energy
supply systems. Energy Build 39:1218-1226
Asadi E, da Silva MG, Antunes CH, Dias L (2012a) Multi-objective optimization for building
retrofit strategies: a model and an application. Energy Build 44:81-87
Asadi E, da Silva MG, Antunes CH, Dias L (2012b) A multi-objective optimization model for
building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB. Build Environ
56:370-378
Becker R, Goldberger I, Paciuk M (2007) Improving energy performance of school buildings
while ensuring indoor air quality ventilation. Build Environ 42:3261-3276
Blondeau P, Sperandio M, Allard F (2002) Multicriteria analysis of ventilation in summer period.
Build Environ 37:165-176
Bluyssen PM, Cox C (2002) Indoor environment quality and upgrading of European office
buildings. Energy Build 34:155-162
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