CHAPTER 4

 

A Bird’s-Eye View of MAXTMP Leisure

Thermal Comfort

 

 

A

picture is worth a thousand words. Figures 4-1 through 4-12 (pages 45 through 56) display outdoors monthly PMVSHADE isoline contour maps at MAXTMP thermal comfort. In most areas of the United States, MAXTMP occurs at about 3:00 PM local standard time.

 

  By looking at each of these coarsely spaced, monthly contour maps, we can pinpoint ideal outdoors leisure thermal comfort regions in the continental United States for any month.

 

  Looking at Figure 4-3 (March, page 47), for example, the tip of Florida has a comfort index of about zero (ideal) – but everything to the north is progressively negative (colder) for this month.

  On the other hand, as Figure 4-7 (July, page 51) shows, northernmost states, like Washington, Minnesota and Maine, take their turn in July at presenting more desirable values of PMVSHADE when compared with states to the south during this typically hot and uncomfortable month.

 

  It is worthwhile to review the implied assumptions we make when considering outdoors leisure thermal comfort.

 

Valid Range of the Comfort Indices

Valid indices lie only within the range of “-3” through  “+3.”  Any values outside this range should be regarded only as trend indicators.

 

MRTSHADE is Assumed Equal to the

Ambient Air Temperature

We assume throughout this book that mean radiant temperature (MRTSHADE) is equal to the ambient air temperature – whether for MAXTMP, MINTMP or AVETMP.

 

We designate this condition by appending the word “shade” to the MRT abbreviation. This implies that our outdoors environment is equivalent to a fictional enclosure whose surfaces are at the same temperature as the air*.

 

  MRTSHADE is equivalent to a well-shaded environment. Example: the shaded interior of a large screened porch with an overhanging roof or the shaded interior of a park shelter surrounded by lawn and trees.

 

Related PMVSHADE Assumptions

Like mean radiant temperature, Predicted Mean Vote (PMV), is also subscripted by “shade” (PMVSHADE). PMV is really a “majority vote” scale, and as such, is not perceived the same by all individuals (see Chapter 8 for more discussion). The following assumptions are applied to PMV in this book:

  • Air velocity is zero.

  • Metabolic rate is sedentary (that is, seated, quiet).

  • Clothing is lightweight summer apparel.

  • A three-hour exposure to the fictional isothermal enclosure.

 

Predicted Percentage Dissatisfied (PPD)

The Fanger PPD function (see chart on right-side of this page) illustrates how the Predicted Percentage Dissatisfied increases as PMV departs from neutral comfort.

 

  Even when Predicted Mean Vote is zero, Predicted Percentage Dissatisfied is 5 percent. This means that five percent of people are dissatisfied; 2.5 percent are uncomfortably cold and 2.5 percent are uncomfortably warm. We see that it is not possible to satisfy everyone, even within a perfectly controlled climate environment.

 

  Consider a larger range in PMV. When PMV is -1.5, then about 50 percent of people feel too cold. When PMV is +1.5, then about 50 percent of people feel too warm. Or, from the opposite viewpoint, about 50 percent of people are still comfortable at PMV = ±1.5.

 

  When PMV is ±2.0, then about 75 percent of people are dissatisfied. From the opposite viewpoint, this means that about 25 percent of people are still comfortable. 

 

 

 

 

Predicted Percentage Dissatisfied vs. Predicted Mean Vote

 


Figure 4-1: January PMVSHADE at MAXTMP                                                                                          Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 


Figure 4-2: February PMVSHADE at MAXTMP                                                                                       Prepared by CoHort Software               

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 


Figure 4-3: March PMVSHADE at MAXTMP                                                                                             Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 


Figure 4-4: April PMVSHADE  at MAXTMP                                                                                                Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 


Figure 4-5: May PMVSHADE at MAXTMP                                                                                                   Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 

 

Figure 4-6: June PMVSHADE  at MAXTMP                                                                                                Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 


Figure 4-7: July PMVSHADE  at MAXTMP                                                                                                  Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 


Figure 4-8: August PMVSHADE at MAXTMP                                                                                            Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 


Figure 4-9: September PMVSHADE at MAXTMP                                                                                   Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 

 

Figure 4-10: October PMVSHADE at MAXTMP                                                                                       Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 

 

Figure 4-11: November PMVSHADE at MAXTMP                                                                                  Prepared by CoHort Software

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot

 

 


Figure 4-12: December PMVSHADE at MAXTMP                                                                                  Prepared by CoHort Software

 

 

-3 = cold           -2 = cool           -1 = slightly cool            0 = neutral         1 = slightly warm           2 = warm           3 = hot



* Here we exclude influence by direct and reflected radiation from the sun (designated as MRTSUN, described in Chapter 9).

PMVSUN implies the added influence of solar rays (see Chapter 9).

 


© Ask Analytic 2003