@inproceedings{discovery10111638,
           title = {Generating optimal comfort improving design solution with occupancy survey and Multi-Objective Optimization (MOO) technique: a case study for fa{\cc}ade retrofit in a post-war office in London},
            year = {2019},
           month = {September},
       booktitle = {Proceedings of the MC2019 Masters Conference People and Buildings},
         address = {London, UK},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
       publisher = {MC2019 Masters Conference People and Buildings},
        abstract = {In a UK post-war highly glazed open-plan office, occupants experienced intolerable discomfort from poorly designed and performing fa{\cc}ade. However, the comfort-oriented solution was limited to internal of the window only by rental restriction. No direct performance data, e.g. monitoring data, was available for analysing potential discomfort issues. Such case presented a challenge for a balanced optimal solution for undefined but potentially compilated causes for problems.

This essay developed a practical and systematic framework to identify key comfort issues with occupancy survey and generate an optimized design option with multi-objective optimization with genetic algorithm for the case office. Benchmarking, correlation and ANOVA study were cross-referred and integrated with non-linear satisfaction theory to determine the key comfort factors. In this case, the key comfort factors were identified as direct sunlight glare, temperature and stability in winter and summer, and noise from colleagues.

These key comfort factors were parameterized with building simulation programs and set as objectives in optimization program thus integrating the qualitative survey into quantitate optimization algorithm for design options optimization. Glazing ratio, shading device length, and secondary glazing were set as changeable parameters (genes) controlling the fa{\cc}ade characteristics.

The optimization program generated and compared 480 distinctive design options through 8 generations and discovered 101 Pareto front options. Filtered with a criteria-based filtering method from all pareto front, an optimal solution was recognized as fully opaque insulation for South and West fa{\cc}ade, high glazing ratio on North and East fa{\cc}ade, no extra shading device, and with secondary glazing. This optimal option effectively reduced glare under acceptable threshold while keeping large view out but only slightly improve summer thermal condition. Further improvements in ventilation system and building envelope performance was demonstrated essential for significant thermal comfort improvement.},
             url = {http://nceub.org.uk/ocs/index.php/MC2019/MC2019},
          author = {Yu, C and Altamirano, H},
        keywords = {Multi-objectives optimization, Occupancy comfort, Post-occupancy survey, Fa{\cc}ade retrofit, Building
performance simulation}
}