Determining Infiltration Rates and Predicting Building Occupancy Using CO₂ Concentration Curves

Table 1

Vacancy periods identified via CO₂ analysis.

Fit 𝑅^2	TC (h)	Start (m-d hh:mm)	End (m-d hh:mm)	Low CO2 (ppm)	Wind (kmh)
0.9811	6.0	Jan-21 07:24	Jan-21 16:43	466	15.2
0.9178	15.3	Jan-23 05:10	Jan-23 14:41	495	9.7
0.9460	7.6	Jan-24 05:46	Jan-24 13:16	479	9.0
0.9817	12.2	Jan-26 22:55	Jan-27 06:33	676	4.1
0.9614	7.8	Jan-28 04:34	Jan-28 13:52	493	9.7
0.9330	7.9	Jan-29 04:27	Jan-29 13:40	497	8.7
0.9593	9.9	Jan-30 05:00	Jan-30 14:23	531	3.0
0.9291	6.3	Jan-31 02:40	Jan-31 12:26	489	18.7
0.9586	7.0	Feb-01 06:04	Feb-01 15:29	502	15.6
0.9800	7.4	Feb-03 21:13	Feb-04 06:26	483	16.1
0.9804	7.1	Feb-05 04:58	Feb-05 13:59	470	15.9
0.9560	17.9	Feb-06 06:47	Feb-06 16:25	517	4.7
0.9473	13.6	Feb-07 05:23	Feb-07 14:27	527	3.1
0.9451	9.0	Feb-07 19:38	Feb-08 04:48	475	19.1
0.9617	3.4	Feb-11 04:21	Feb-11 13:54	432	8.5
0.9625	9.8	Feb-12 06:06	Feb-12 15:14	488	5.7
0.9341	8.6	Feb-14 05:06	Feb-14 13:43	470	12.4
0.9373	11.6	Feb-15 04:34	Feb-15 14:44	474	9.2
0.9460	06.7	Feb-18 05:48	Feb-18 15:10	452	11.6
0.9482	15.8	Feb-21 02:50	Feb-21 12:15	522	10.4
0.9631	13.2	Feb-22 04:39	Feb-22 14:29	498	4.5
0.9714	12.5	Feb-25 06:42	Feb-25 15:53	498	3.5
0.9532	09.6	Feb-26 04:42	Feb-26 13:49	471	5.5
0.9486	16.6	Mar-05 02:46	Mar-05 12:35	475	18.6
0.9795	12.7	Mar-06 07:21	Mar-06 16:24	456	5.9
0.9791	11.4	Mar-07 05:51	Mar-07 15:02	468	4.0
0.9336	31.5	Mar-09 22:52	Mar-10 09:25	568	10.1