Net ZEB Design Processes and Tools - Modeling, Design, and Optimization of Net-Zero Energy Buildings - page 227

(4.1)
(4.2)
(4.3)
where A and B are the two parameters being examined for interactions, I A , B
is the magnitude of the interaction, E A , B ( + 1) is the effect of parameter A at
the high level of parameter B , and E A , B (−1) is the effect of parameter A at
the low level of parameter B , and the R AB terms are the response (sum of
heating and cooling energy for this application) depending on the values of
A and B . The responses ( R AB ) are shown in Figure 4.26 .
Fig. 4.26 Generic representation of responses and interactions, © 2011
ASHRAE ( www.ashrae.org ). Used with permission from ASHRAE
(ASHRAE Transactions, Vol. 117, Issue 1, 2011, O'Brien, Athienitis, Kesik,
Parametric Analysis to Support the Integrated Design and Performance
Modeling of Net Zero Energy Houses, pp. 945-960)
4.3.4.5 Multidimensional Parametric Analysis
If building parameters or systems are expected to strongly interact,
multidimensional parametric analyses should be performed. This involves
simultaneously varying two or more parameters (while keeping the others
constant). Figure 4.27 shows two 2-dimensional sensitivity analyses.