Indoor environmental satisfaction has been receiving considerable attention by many researchers recently. Research has indicated that allowing building occupants to adjust their local environment to their liking increases satisfaction and human performance. However, concern about the possible increase of energy consumption associated with the wide adoption of distributed localized environmental control has limited the use of such systems. In this study, we show how gradient-based optimization can be used to minimize energy consumption of distributed environmental control systems without increasing occupant thermal dissatisfaction. Fuzzy rules have been generated by data from gradient optimization, showing that a fuzzy logic control scheme based on nearest neighbors approximates closely the gradient-based optimized results.

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Research about indoor environmental satisfaction (OSFA) HVAC systems are usually designed by this thermal has indicated that allowing building occupants to adjust their comfort standard to provide optimal thermal comfort for a local environment to their preferences increases thermal group of people. The thermal conditions are considered satisfaction and human performance at the workplace. However, acceptable when -80% of a building's occupants are thermally such systems have been considered as a reason of possible satisfied in this standard.increase in energy consumption of environmental controlIf the occupants of a building are in the same systems. In our previous study Ill, we minimized the energy onment, In consumption of distributed environmental control systems envir dividual mphsiologica and psycholog without increasing occupant thermal dissatisfaction using differences make it Impossible for these OSFA systems to gradient-based optimization. We then approximated the optimal satisfy all occupants. In order to increase thermal comfort and models using fuzzy systems based on the nearest neighbors. satisfaction, individual occupants should have the ability toThose fuzzy models were specific to different outside customize their immediate thermal environments to match temperatures. This required a considerable storage space to keep their particular needs. This is practically the same as adopting all the fuzzy rules of each outside temperature. In this study, we a "Have-It-Your-Way" (HIYW) philosophy in building generated a fuzzy system and a neural network system, which are thermal environmental design. There are increasing number of generated for any outside temperature. Our results show these researchers who found that allowing building occupants two models approximate the results of gradient-based control their own personal environment makes them more optimization in a practically feasible fashion. comfortable and productive in the workplace [7][8][9][10].

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