On the sensitivity to different aspects of occupant behaviour for selecting the appropriate modelling complexity in building performance predictions

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6 Citaties (Scopus)

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The reliability of building performance simulation (BPS) predictions is impaired by a number of uncertainties, among which occupant behaviour (OB) plays a major role. Methods to relevantly model OB are essential to achieve energy efficient and comfortable buildings. This study contributes to the ongoing discussion concerning how to model OB in BPS. Specifically, a sensitivity analysis to various aspects of OB is used to assess the impact of using different levels of modelling complexity in the conceptual design phase. A method based on the statistical Mann–Whitney test is proposed to identify those aspects of OB that are influential for a performance indicator, and which might require a higher modelling complexity. Sixteen variants of an individual office constitute the case study. The results show how generalizations concerning robustness of a building typology to OB are not possible. Increasing modelling complexity does not necessarily lead to more accurate, or even to different results.
TaalEngels
Pagina's601-611
Aantal pagina's11
TijdschriftJournal of Building Performance Simulation
Volume10
Nummer van het tijdschrift5-6
Vroegere onlinedatum9 dec 2016
DOI's
StatusGepubliceerd - 2017

Vingerafdruk

Performance Prediction
Conceptual design
Modeling
Sensitivity analysis
Mann-Whitney test
Performance Indicators
Conceptual Design
Statistical test
Energy Efficient
Sensitivity Analysis
Simulation
Robustness
Uncertainty
Prediction
Model

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    title = "On the sensitivity to different aspects of occupant behaviour for selecting the appropriate modelling complexity in building performance predictions",
    abstract = "The reliability of building performance simulation (BPS) predictions is impaired by a number of uncertainties, among which occupant behaviour (OB) plays a major role. Methods to relevantly model OB are essential to achieve energy efficient and comfortable buildings. This study contributes to the ongoing discussion concerning how to model OB in BPS. Specifically, a sensitivity analysis to various aspects of OB is used to assess the impact of using different levels of modelling complexity in the conceptual design phase. A method based on the statistical Mann–Whitney test is proposed to identify those aspects of OB that are influential for a performance indicator, and which might require a higher modelling complexity. Sixteen variants of an individual office constitute the case study. The results show how generalizations concerning robustness of a building typology to OB are not possible. Increasing modelling complexity does not necessarily lead to more accurate, or even to different results.",
    keywords = "Occupant behaviour modelling, Fit-for-purpose, Model complexity",
    author = "I. Gaetani and P. Hoes and J.L.M. Hensen",
    year = "2017",
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    language = "English",
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    AU - Gaetani,I.

    AU - Hoes,P.

    AU - Hensen,J.L.M.

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    N2 - The reliability of building performance simulation (BPS) predictions is impaired by a number of uncertainties, among which occupant behaviour (OB) plays a major role. Methods to relevantly model OB are essential to achieve energy efficient and comfortable buildings. This study contributes to the ongoing discussion concerning how to model OB in BPS. Specifically, a sensitivity analysis to various aspects of OB is used to assess the impact of using different levels of modelling complexity in the conceptual design phase. A method based on the statistical Mann–Whitney test is proposed to identify those aspects of OB that are influential for a performance indicator, and which might require a higher modelling complexity. Sixteen variants of an individual office constitute the case study. The results show how generalizations concerning robustness of a building typology to OB are not possible. Increasing modelling complexity does not necessarily lead to more accurate, or even to different results.

    AB - The reliability of building performance simulation (BPS) predictions is impaired by a number of uncertainties, among which occupant behaviour (OB) plays a major role. Methods to relevantly model OB are essential to achieve energy efficient and comfortable buildings. This study contributes to the ongoing discussion concerning how to model OB in BPS. Specifically, a sensitivity analysis to various aspects of OB is used to assess the impact of using different levels of modelling complexity in the conceptual design phase. A method based on the statistical Mann–Whitney test is proposed to identify those aspects of OB that are influential for a performance indicator, and which might require a higher modelling complexity. Sixteen variants of an individual office constitute the case study. The results show how generalizations concerning robustness of a building typology to OB are not possible. Increasing modelling complexity does not necessarily lead to more accurate, or even to different results.

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    KW - Fit-for-purpose

    KW - Model complexity

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    DO - 10.1080/19401493.2016.1260159

    M3 - Special issue

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    SP - 601

    EP - 611

    JO - Journal of Building Performance Simulation

    T2 - Journal of Building Performance Simulation

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