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These are the user uploaded subtitles that are being translated: 1 00:00:00,900 --> 00:00:08,310 Hi and welcome to Holmer Tutorial, and this session, as we promised, we want to start over small 2 00:00:08,310 --> 00:00:09,720 projects together. 3 00:00:11,340 --> 00:00:20,480 So, OK, so opening the Holmer and as I mentioned to you, you can make this section empty. 4 00:00:20,610 --> 00:00:21,900 It's not very important. 5 00:00:21,900 --> 00:00:26,580 When you want to share results with someone, it's better to mention your name. 6 00:00:27,240 --> 00:00:35,190 And then the first part, it's you want to go through it very quickly and it's very easy in this session 7 00:00:35,190 --> 00:00:35,790 is. 8 00:00:37,390 --> 00:00:44,800 The deep look at specifying the location and also downloading some resources for dads, let's go through 9 00:00:44,800 --> 00:00:44,940 it. 10 00:00:44,950 --> 00:00:50,730 So imagine that my location is so my data is for a building in Montreal. 11 00:00:50,740 --> 00:00:53,760 So let's search Montreal here. 12 00:00:54,670 --> 00:01:02,920 And the the cursor is going immediately to the marginal section, so as you can see here, the Holmer 13 00:01:02,950 --> 00:01:08,400 specified maps will kind of look back for us then it's it's done. 14 00:01:08,530 --> 00:01:16,090 So we need to download the resources that we talked about in the previous sections, if you remember, 15 00:01:17,230 --> 00:01:18,040 from this spot. 16 00:01:18,060 --> 00:01:21,670 And so just click on the resource and it gives you. 17 00:01:23,200 --> 00:01:29,560 Three option Solah temperature, and then you can download each one of them that you need, but let's 18 00:01:29,560 --> 00:01:32,250 download all of them and then we can talk about them. 19 00:01:32,770 --> 00:01:41,710 So these data are coming from the NSA database, NASA's surface controllers in solar energy database. 20 00:01:42,100 --> 00:01:45,940 So Clinton downloads and receiving this 21 00:01:48,670 --> 00:01:55,000 this tab that gives you the research that led downloaded successfully pressing. 22 00:01:55,030 --> 00:01:58,740 OK, it means that the resources for that location is downloaded. 23 00:01:59,410 --> 00:02:00,730 So let's check them. 24 00:02:00,850 --> 00:02:02,890 Go to the components bottom here. 25 00:02:04,690 --> 00:02:15,430 Sorry, resort bottom and then go to solar, a global horizontal irradiance or Gashi, so as you can 26 00:02:15,430 --> 00:02:27,850 see, by downloading the Redish solar radiation here, Holmer immediately shows you the results of the 27 00:02:27,850 --> 00:02:32,410 clearance index and the radiation for you in this table. 28 00:02:33,250 --> 00:02:39,670 And you can see the monthly average solar radiation for different is. 29 00:02:40,900 --> 00:02:52,240 In in in Montreal, in Canada, and as you can see and you can see that also in this beautiful bar charts, 30 00:02:52,240 --> 00:02:54,530 this Holmer draw for us. 31 00:02:54,550 --> 00:03:04,390 So as you can see, the solar radiation Ohgi in Montreal and summer is higher than in the winter. 32 00:03:04,390 --> 00:03:05,650 And it's logical. 33 00:03:05,650 --> 00:03:07,290 It's, it's fair enough. 34 00:03:07,300 --> 00:03:11,410 And the syndicate is not fluctuating so much. 35 00:03:11,410 --> 00:03:17,740 But the, the solar radiation is very high in the summer and very low indeed in the winter. 36 00:03:18,950 --> 00:03:26,140 And yeah, that's the information I here you can see the annual average of the solar radiation also 37 00:03:26,330 --> 00:03:35,240 and some information about the period of of the of these these measurements that, for example, here 38 00:03:35,240 --> 00:03:39,050 these data are coming from nineteen eighty three to 2005. 39 00:03:39,590 --> 00:03:44,270 So it's it's measured in a period of twenty two years. 40 00:03:44,270 --> 00:03:48,020 So it's somehow good database. 41 00:03:49,600 --> 00:03:58,170 And the other one is the vind, if we click on the winds, we have more options here. 42 00:03:58,190 --> 00:04:05,050 So for the speed, as you can see, again, the average wind speeds and meter per second. 43 00:04:05,080 --> 00:04:11,020 Just be careful that all the units in Holmer or Assai units. 44 00:04:11,020 --> 00:04:20,680 So from January until December, you can see the average wind speeds and also. 45 00:04:22,090 --> 00:04:27,650 Again, a graph is drawn by the home itself. 46 00:04:28,060 --> 00:04:35,170 There is no very special fluctuation, but in the winter for sure, the amount of wind speed is a little 47 00:04:35,170 --> 00:04:36,850 bit higher than in summer. 48 00:04:36,850 --> 00:04:43,240 As you can see here, for example, December, the values, the average is four point fifty one, but 49 00:04:43,240 --> 00:04:47,320 in July, for example, is three point seventy nine. 50 00:04:48,450 --> 00:04:52,110 And it's about one meter per second difference, so. 51 00:04:54,790 --> 00:05:01,540 Also here, you can see it's very important, it's what is the height of the measurement up to the speed 52 00:05:01,540 --> 00:05:08,290 and at home, it gives you this information that the database of NACI is based on the wind speed measured 53 00:05:08,290 --> 00:05:10,300 at 50 meter above the surface. 54 00:05:11,180 --> 00:05:21,470 And this is, again, the period did in this year or 10 years, and also you can change this, for example, 55 00:05:21,470 --> 00:05:24,830 you can you can say that, OK, I don't want 50 meters for my height. 56 00:05:25,730 --> 00:05:28,610 My height is about, for example, my wind turbine is. 57 00:05:29,500 --> 00:05:37,570 The Hobbit is 20 minutes or so, you can change this tiny meter and what's Homer do is based on this 58 00:05:37,570 --> 00:05:45,340 DTAP variation with height, it will change your data so it will show you how it changes it with the 59 00:05:45,340 --> 00:05:45,710 height. 60 00:05:45,740 --> 00:05:56,620 So, for example, if you bring down the heights from 50 meter, that is, for example, here to 10 61 00:05:56,620 --> 00:06:06,270 meter that is here, you are just bringing down the wind speed from here, for example, to here. 62 00:06:06,280 --> 00:06:08,500 That is three point five, something like that. 63 00:06:09,710 --> 00:06:19,070 So it changed the way you can see the exponentially graph of the logarithmic graph of the curve in the 64 00:06:19,070 --> 00:06:22,130 speed that is changing with height. 65 00:06:22,160 --> 00:06:28,310 So we changing the parameters of height from 50 to 20. 66 00:06:28,400 --> 00:06:35,090 It will change your data from 50 to 20 just based on this logarithmic graph. 67 00:06:35,810 --> 00:06:40,100 And here also you can change the surface roughness lengths. 68 00:06:40,100 --> 00:06:46,860 Several Stromness lengths means the height of the speed is above the ground is zero. 69 00:06:46,880 --> 00:06:49,730 So, for example, here the default is. 70 00:06:51,450 --> 00:06:59,490 Zero point zero point zero one, so you can change it to any number that you think it's true. 71 00:07:00,440 --> 00:07:07,260 And also there were some advance promoters, something like, for example, wait, we will shape factor. 72 00:07:07,440 --> 00:07:14,730 It's just if you don't know about these advanced parameters, just leave them as the default so you 73 00:07:14,730 --> 00:07:16,260 don't need to change them all. 74 00:07:17,370 --> 00:07:21,080 But it gives you this opportunity to change these factors as well. 75 00:07:21,090 --> 00:07:21,510 So. 76 00:07:22,880 --> 00:07:24,770 This is all about the wind speed as well. 77 00:07:24,800 --> 00:07:29,870 It gives you a very good information about the wind speed it downloaded from the NSF cosmetology. 78 00:07:30,530 --> 00:07:40,700 And the last one is the temperature in it, just like the previous tabs for the solar radiation and 79 00:07:40,700 --> 00:07:47,300 also the wind here you can see the average temperature for each month. 80 00:07:47,300 --> 00:07:50,370 And also at the end, it gives you the annual average. 81 00:07:50,370 --> 00:07:54,460 As you can see, the Montreal is considered a cold area. 82 00:07:54,470 --> 00:07:58,550 So the average is about five point sixty nine. 83 00:07:58,880 --> 00:08:00,430 That's calculated by Homer. 84 00:08:00,440 --> 00:08:03,900 And you can see the average of the temperature in each mount's. 85 00:08:04,810 --> 00:08:10,160 So if you're dealing, for example, with solar panels, you need to download this temperature from 86 00:08:10,160 --> 00:08:12,230 the NAZAN database as well. 87 00:08:12,560 --> 00:08:16,550 And you can CD or short as well. 88 00:08:17,780 --> 00:08:21,740 So in the summer, we have high temperature. 89 00:08:21,740 --> 00:08:25,310 In the winter we have minus negative temperature. 90 00:08:25,330 --> 00:08:33,920 So and also you can see the again, the information of the data that is measured for twenty two years. 91 00:08:33,950 --> 00:08:38,150 So it gives you a very good information about the data that is the low. 92 00:08:38,180 --> 00:08:40,030 That's from the national database. 93 00:08:40,550 --> 00:08:40,970 So. 94 00:08:42,460 --> 00:08:51,280 This is all about the three main resources that we need for this project, so that's done. 95 00:08:51,490 --> 00:08:59,590 We specified our location, we specified our resources, and we were ready to go to the next steps and. 96 00:09:01,510 --> 00:09:07,720 I'm very excited to do that, and until then, take care and enjoy using Colmar. 9909

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