Premium
University students' cognitive performance under temperature cycles induced by direct load control events
Author(s) -
Zhang F.,
Dear R.
Publication year - 2017
Publication title -
indoor air
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.387
H-Index - 99
eISSN - 1600-0668
pISSN - 0905-6947
DOI - 10.1111/ina.12296
Subject(s) - set point , set (abstract data type) , air conditioning , cognition , control (management) , cognitive load , intensity (physics) , range (aeronautics) , simulation , psychology , engineering , computer science , mechanical engineering , artificial intelligence , control engineering , aerospace engineering , physics , quantum mechanics , neuroscience , programming language
Abstract As one of the most common strategies for managing peak electricity demand, direct load control ( DLC ) of air‐conditioners involves cycling the compressors on and off at predetermined intervals. In university lecture theaters, the implementation of DLC induces temperature cycles which might compromise university students' learning performance. In these experiments, university students' learning performance, represented by four cognitive skills of memory, concentration, reasoning, and planning, was closely monitored under DLC ‐induced temperature cycles and control conditions simulated in a climate chamber. In Experiment 1 with a cooling set point temperature of 22°C, subjects’ cognitive performance was relatively stable or even slightly promoted by the mild heat intensity and short heat exposure resulting from temperature cycles; in Experiment 2 with a cooling set point of 24°C, subjects’ reasoning and planning performance observed a trend of decline at the higher heat intensity and longer heat exposure. Results confirm that simpler cognitive tasks are less susceptible to temperature effects than more complex tasks; the effect of thermal variations on cognitive performance follows an extended‐U relationship with performance being relatively stable across a range of temperatures. DLC appears to be feasible in university lecture theaters if DLC algorithms are implemented judiciously.