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PAT 2.9.1 Algorithmic mode is not creating alternatives

I am relatively new to PAt and this is my first time trying the algorithmic mode. For the current project, I need to test combinations of a range of values for the following variables - 4 different wall insulations, 4 different roof insulations, 6 values for window u-value, 5 values for window SHGC - which total to 19 different variables. I am trying to run a combination of all these options using the Design of Experiments - full_factorial sampling method. The setup runs successfully on the cloud but with zero data points and a results csv file with only titles of my measures and output variables but no values, essentially, a blank results file. Did I miss something in my parametric setup?

Questions -

  1. Algorithmic method - Is DOE the correct method for my analysis?
  2. Algorithm settings - Are the number of samples the total number of distinct variables I have viz. 19?
  3. OpenStudio Measures - is this setting wrong? I am using "replace exterior window construction" and "swap construction in construction set". Variable setting is discrete, static/default is the existing construction, measure inputs are the options to replace with. What are the weighing factors in measures for? I have left it blank.
  4. Reporting Measures - OpenStudio results with the variable setting of argument (i also tried discrete). I also need the peak cooling and heating values, where do I get it from?
  5. I have selected the variables I want from OS Results under the output tab with variable type "integer", is that correct?

Answer to even to one of my questions is very appreciated! Thanks in advance!

PAT 2.9.1 Algorithmic mode is not creating alternatives

I am relatively new to PAt and this is my first time trying the algorithmic mode. For the current project, I need to test combinations of a range of values for the following variables - 4 different wall insulations, 4 different roof insulations, 6 values for window u-value, 5 values for window SHGC - which total to 19 different variables. I am trying to run a combination of all these options using the Design of Experiments - full_factorial sampling method. The setup runs successfully on the cloud but with zero data points and a results csv file with only titles of my measures and output variables but no values, essentially, a blank results file. Did I miss something in my parametric setup?

Questions -

  1. Algorithmic method - Is DOE the correct method for my analysis?
  2. Algorithm settings - Are the number of samples the total number of distinct variables I have viz. 19?
  3. OpenStudio Measures - is this setting wrong? I am using "replace exterior window construction" and "swap construction in construction set". Variable setting is discrete, static/default is the existing construction, measure inputs are the options to replace with. What are the weighing factors in measures for? I have left it blank.
  4. Reporting Measures - OpenStudio results with the variable setting of argument (i also tried discrete). I also need the peak cooling and heating values, where do I get it from?
  5. I have selected the variables I want from OS Results under the output tab with variable type "integer", is that correct?

Answer to even to one of my questions is very appreciated! Thanks in advance!