Loughborough University
Browse
adaptive-comfort-model-incorporating-temperature-gradient-for-a-uk-residential-building.pdf (3.12 MB)

Adaptive comfort model incorporating temperature gradient for a UK residential building

Download (3.12 MB)
journal contribution
posted on 2019-06-18, 08:19 authored by S. Samsuddin, Faisal Durrani, Mahroo EftekhariMahroo Eftekhari
Thermal comfort field experiments were conducted to acquire thermal comfort data of 119 participants in a test house representative of a typical UK house. This paper compares the performance of popular PMV-based thermal comfort index vs neutral temperature based on Actual Mean Vote. The aim of this research was to incorporate vertical thermal gradient, which is usually a neglected yet highly influential parameter in a residential setting and propose a new adaptive thermal comfort model. The new adaptive model (LPMV) has been developed using a polynomial curve fit method. This method was chosen as it has the capability to correlate indoor environmental parameters with AMV and incorporated them in the generated mathematical model. The model requires temperature gradient and SET* only to determine neutral temperatures which makes it the first of its kind. The LMPV model was rigorously tested against thermal comfort data compiled in this study and against independent/unbiased data (the ASHRAE RP-884 database). LPMV showed up to 0.7°C improvement in predicting neutral temperature of occupants compared to the famous Fanger’s PMV model. This can result in better prediction of a suitable heating setpoint temperature which has great implications on annual energy demand.

History

School

  • Architecture, Building and Civil Engineering

Published in

Journal of Architecture Engineering Technology

Volume

8

Issue

1

Citation

SAMSUDDIN, S., DURRANI, F. and EFTEKHARI, M., 2019. Adaptive comfort model incorporating temperature gradient for a UK residential building. Journal of Architectural Engineering Technology, 8 (1), 227.

Publisher

OMICS International © The Authors

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Acceptance date

2019-01-08

Publication date

2019

Notes

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

2168-9717

Language

  • en

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC