Perception based method for indoor air quality control
| Autor: | Melina Frenken, Jannik Flessner |
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| Rok vydání: | 2017 |
| Předmět: |
Pollutant
Computer science business.industry 020209 energy 02 engineering and technology Fuzzy control system Atmospheric model Fuzzy logic Automotive engineering law.invention Indoor air quality law Control theory ComputerSystemsOrganization_MISCELLANEOUS Thermal Ventilation (architecture) 0202 electrical engineering electronic engineering information engineering Air movement business Air quality index Building automation |
| Zdroj: | SMC |
| DOI: | 10.1109/smc.2017.8122918 |
| Popis: | This work describes the design of a building automation controller for indoor air quality, which is different from common control strategies. Normative strategies are focused solely on the management of ventilation rates and the reduction of pollutant concentrations. The positive effect of air movement and the negative effect of high temperatures on the perceived air quality are not considered. In this paper, we present a novel approach to design a controller based on fuzzy logic, which adapts the air movement velocity depending on the temperature. Data about the perceived indoor air quality during varying thermal conditions are used to model the fuzzy controller. |
| Databáze: | OpenAIRE |
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