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- W2619449025 endingPage "1379" @default.
- W2619449025 startingPage "1353" @default.
- W2619449025 abstract "Abstract This paper reviews the most used thermal comfort models and indicators with their variants, discussing their usage in control problems referring to energy management in indoor applications. The first part addresses the recent literature referring to the thermal comfort concepts, models of human thermal comfort, thermal comfort models and indicators, thermal comfort standards, control systems, optimisation methods, and practical assessments. Then, the ambient and personal parameters used to represent thermal comfort and thermal sensation are recalled. The following part reviews the definitions and usage of a number of thermal comfort indices, mainly related to the Predicted Mean Vote ( PMV ), the Actual Mean Vote ( AMV ), and the Predicted Percentage Dissatisfied ( PPD ), with their modifications and variants, indicating a number of applications to different situations in indoor environments. The last part reviews the thermal comfort models used to define control strategies in indoor applications, discussing the characteristics and parameters of models based on artificial neural networks, autoregressive variants, fuzzy control, and hybrid models combining different approaches. The characteristics of these models and their usage to predict the indoor air temperature and the PMV index are discussed with reference to the identification of the several inputs used in relevant literature contributions." @default.
- W2619449025 created "2017-06-05" @default.
- W2619449025 creator A5014994329 @default.
- W2619449025 date "2017-11-01" @default.
- W2619449025 modified "2023-10-14" @default.
- W2619449025 title "A review of thermal comfort models and indicators for indoor environments" @default.
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