Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems
The HVAC control systems based on thermal comfort indices, in contrast with approaches that consider only temperature and humidity, provide advantages such as the improvement of the thermal quality of the built environment. Among several thermal comfort indices, the Fanger’s model (PMV) is of paramo...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | por |
| Published: |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2008
|
| Online Access: | https://seer.ufrgs.br/ambienteconstruido/article/view/3743 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
ojs-article-3743 |
|---|---|
| record_format |
ojs |
| institution |
Universidade Federal do Rio Grande do Sul |
| collection |
OJS |
| language |
por |
| format |
Online |
| author |
Trebien, Rodrigo Mendes, Nathan Oliveira, Gustavo H. C. |
| spellingShingle |
Trebien, Rodrigo Mendes, Nathan Oliveira, Gustavo H. C. Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems |
| author_facet |
Trebien, Rodrigo Mendes, Nathan Oliveira, Gustavo H. C. |
| author_sort |
Trebien, Rodrigo |
| title |
Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems |
| title_short |
Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems |
| title_full |
Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems |
| title_fullStr |
Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems |
| title_full_unstemmed |
Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems |
| title_sort |
sensitivity of the pmv index and comfort regions, aiming to improve hvac systems |
| description |
The HVAC control systems based on thermal comfort indices, in contrast with approaches that consider only temperature and humidity, provide advantages such as the improvement of the thermal quality of the built environment. Among several thermal comfort indices, the Fanger’s model (PMV) is of paramount importance. However, the attainment of this index in real equipment is considerably difficult, due to the difficulty of measuring the mean radiant temperature, and determining individual parameters such as the human metabolic rate and the thermal resistance of human clothing. Due to those difficulties, adjustments and adaptations must be carried out and, consequently, there are errors related to these three parameters. This article proposes a sensitivity analysis of PMV, based on those three variables, through simulation. For each analysis, the behaviour of the model is analysed for different values of temperature, air velocity and relative humidity, and also for different values of the analyzed parameter. It is also important to obtain the relative importance of each parameter of Fanger’s model, independently of units and analyzed values. Based on the Monte Carlo statistical method, a sensitivity analysis has been conducted, not only for the three cited variables, but also for all six Fanger’s model parameters. As a result, a sensitivity vector is presented, whose values are dimensionless and independent of the variables and parameters, considering all possible combinations. Moreover, new comfort regions are presented, considering also individual factors. |
| publisher |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído |
| publishDate |
2008 |
| url |
https://seer.ufrgs.br/ambienteconstruido/article/view/3743 |
| work_keys_str_mv |
AT trebienrodrigo sensitivityofthepmvindexandcomfortregionsaimingtoimprovehvacsystems AT mendesnathan sensitivityofthepmvindexandcomfortregionsaimingtoimprovehvacsystems AT oliveiragustavohc sensitivityofthepmvindexandcomfortregionsaimingtoimprovehvacsystems AT trebienrodrigo sensibilidadedoindicepmveregioesdeconfortovisandoaoaperfeicoamentodeclimatizadores AT mendesnathan sensibilidadedoindicepmveregioesdeconfortovisandoaoaperfeicoamentodeclimatizadores AT oliveiragustavohc sensibilidadedoindicepmveregioesdeconfortovisandoaoaperfeicoamentodeclimatizadores |
| _version_ |
1709370577684267008 |
| spelling |
ojs-article-37432008-04-28T17:10:49Z Sensitivity of the PMV index and comfort regions, aiming to improve HVAC systems Sensibilidade do índice PMV e regiões de conforto visando ao aperfeiçoamento de climatizadores Trebien, Rodrigo Mendes, Nathan Oliveira, Gustavo H. C. Conforto térmico; Regiões de conforto; Análise de sensibilidade; Índice PMV The HVAC control systems based on thermal comfort indices, in contrast with approaches that consider only temperature and humidity, provide advantages such as the improvement of the thermal quality of the built environment. Among several thermal comfort indices, the Fanger’s model (PMV) is of paramount importance. However, the attainment of this index in real equipment is considerably difficult, due to the difficulty of measuring the mean radiant temperature, and determining individual parameters such as the human metabolic rate and the thermal resistance of human clothing. Due to those difficulties, adjustments and adaptations must be carried out and, consequently, there are errors related to these three parameters. This article proposes a sensitivity analysis of PMV, based on those three variables, through simulation. For each analysis, the behaviour of the model is analysed for different values of temperature, air velocity and relative humidity, and also for different values of the analyzed parameter. It is also important to obtain the relative importance of each parameter of Fanger’s model, independently of units and analyzed values. Based on the Monte Carlo statistical method, a sensitivity analysis has been conducted, not only for the three cited variables, but also for all six Fanger’s model parameters. As a result, a sensitivity vector is presented, whose values are dimensionless and independent of the variables and parameters, considering all possible combinations. Moreover, new comfort regions are presented, considering also individual factors. Os sistemas de controle de equipamentos de climatização, com base em índices de conforto térmico, em contraste com abordagens que consideram apenas temperatura e umidade, proporcionam vantagens como melhoria da qualidade térmica dos ambientes. Entre os índices para conforto térmico, a abordagem de Fanger (PMV) tem grande destaque. Porém, a obtenção desse índice em equipamentos reais é bastante problemática, em função da dificuldade de sensoriamento da temperatura radiante média e de determinação de fatores individuais, tais como a taxa de metabolismo humano e a resistência térmica das vestimentas dos ocupantes. Diante dessas dificuldades, ajustes e adaptações devem ser realizados e, conseqüentemente, existem erros devido a esses três parâmetros. Este trabalho propõe uma análise de sensibilidade do PMV com relação às três variáveis citadas, através de simulações. Para cada análise, é investigado o comportamento do índice para diferentes valores de temperatura, velocidade e umidade relativa do ar, e também para diferentes valores do parâmetro em questão. Também é importante a obtenção de uma informação referente ao peso que cada um desses parâmetros possui no modelo, independentemente de unidades e valores analisados. Neste sentido, foi realizada uma análise de sensibilidade baseada no método estatístico de Monte Carlo, não somente dessas três variáveis, mas também dos seis parâmetros do modelo. Como resultado, obtém-se um vetor de sensibilidade cujos valores são adimensionais e independentes de faixas de operação da variável analisada e dos demais parâmetros, obtidos considerando-se todas as possíveis combinações. Analisa-se também a elaboração de regiões de conforto adaptadas, para que estas sejam determinadas considerando-se fatores individuais. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2008-04-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://seer.ufrgs.br/ambienteconstruido/article/view/3743 Ambiente Construído; v. 7, n. 3 (2007); 71-87 Ambiente Construído; v. 7, n. 3 (2007); 71-87 Ambiente Construído; v. 7, n. 3 (2007); 71-87 1678-8621 1415-8876 por https://seer.ufrgs.br/ambienteconstruido/article/view/3743/2096 Direitos autorais 2016 Ambiente Construído https://creativecommons.org/licenses/by/4.0 |