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@INPROCEEDINGS{Basurto_BSO-V2020_2020,
         author = {Basurto, Chantal and K{\"{a}}mpf, J{\'{e}}r{\^{o}}me},
       projects = {Idiap},
          month = sep,
          title = {An Integrated and strategic evaluation of automatic blind controls to achieve energy and occupant's comfort objectives},
      booktitle = {Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization (Virtual)},
           year = {2020},
       location = {Loughborough, UK},
            url = {http://www.ibpsa.org/proceedings/BSO2020/BSOV2020_Basurto.pdf},
       abstract = {The adequate operation of external shading systems would signify an improvement of the thermal and visual
interior environment. By controlling the direct sunlight admission, the solar gains can be maximized in winter and minimized in summer. Unfortunately, these advantages are conflicting with a discomfort glare reduction and usually actual control strategies either focus on thermal aspects or daylight maximization. To address this issue, a multi-objective optimization approach (MO) is implemented where key performance indicators (KPIs)
for both energy and comfort are evaluated as a function of slats’ tilting angle. The proposed solutions are then compared to standard strategies that prioritize selected aspects of the performance: energy or daylight and visual comfort. In order to showcase our approach, the use of automated exterior blinds is tested by the way of computer simulations in an office room located in Martigny, Switzerland. The RADIANCE based 5-phase matrix multiplication method is employed for the prediction of work plane illuminance as well as for the HDR image generation to assess the glare risks, while thermal loads are evaluated using EnergyPlus. Tested under sunny and cloudy climate conditions, the MO strategy achieved the lowest energy consumption with a maximum of 10\% reduction in energy terms and 9\% in daylight and visual comfort KPIs. While the MO strategy revealed to be the best option for achieving both comfort and energy goals on the six tested days, future work implies a simulation over the whole year together with real monitoring to confirm its performance.}
}