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These are the user uploaded subtitles that are being translated: 1 00:00:01,190 --> 00:00:09,760 Hi and welcome to this session of former editorial, as we discussed the previous session, we specified 2 00:00:09,770 --> 00:00:21,620 the location of our building or our microgrid, and we also define the resources like solar radiation 3 00:00:22,340 --> 00:00:26,360 and the winds and pressure for our system. 4 00:00:26,930 --> 00:00:30,230 So we are ready to go to the next step. 5 00:00:30,410 --> 00:00:32,000 That is a very important step. 6 00:00:32,000 --> 00:00:40,220 And it's electrical load so uniquely defined for home or that your building or your microgrid or your 7 00:00:41,780 --> 00:00:45,050 how much is your consumption actually in that location? 8 00:00:45,500 --> 00:00:45,950 So. 9 00:00:46,960 --> 00:00:54,040 For doing this, you need to have the data, actually, the only thing that human needs from you to 10 00:00:54,040 --> 00:01:01,510 continue and design your system is this little section and you need to define how much consumption you 11 00:01:01,510 --> 00:01:04,880 have for your building, for example. 12 00:01:04,930 --> 00:01:15,920 So in this for this project, I use the simulation data, imaginary data, and I have it in my excel. 13 00:01:15,940 --> 00:01:17,920 So just open your associates. 14 00:01:19,020 --> 00:01:27,870 Because he cannot understand the axle, so you need to copy, just like me, just the numbers. 15 00:01:28,320 --> 00:01:32,190 You don't need the headers of your numbers, so. 16 00:01:35,860 --> 00:01:37,780 Yeah, we need to copy this. 17 00:01:40,090 --> 00:01:40,870 And. 18 00:01:46,490 --> 00:01:52,430 Make it tax documents, you can just name its example. 19 00:01:53,540 --> 00:01:54,770 Electrical load. 20 00:01:58,380 --> 00:02:02,220 And then you can just paste it. 21 00:02:03,650 --> 00:02:10,910 Here, so these are my number, even if this is this is our little resolution, so it means that it 22 00:02:10,910 --> 00:02:14,920 gives me a time series data for electrical consumption for each hour. 23 00:02:15,590 --> 00:02:22,510 But if your data is for five minutes, 15 minutes, any type of other resolution, just no worries. 24 00:02:22,520 --> 00:02:26,450 Just copy and paste your data here without header. 25 00:02:26,450 --> 00:02:28,330 Just numbers just like that. 26 00:02:29,730 --> 00:02:32,190 And then save these documents. 27 00:02:33,050 --> 00:02:33,900 Yeah, that's it. 28 00:02:34,280 --> 00:02:39,820 So this is this text document, this is what Homer needs from you. 29 00:02:40,280 --> 00:02:41,870 So let's go back to the homer. 30 00:02:42,940 --> 00:02:50,150 OK, it's in the section of load, just click on the electric bottom and then you can import your data. 31 00:02:50,170 --> 00:02:54,140 So this is these are the bottom buttons that you can use. 32 00:02:54,490 --> 00:02:58,000 So use the import button can go to electric. 33 00:02:58,030 --> 00:03:00,520 This is the data that we created together. 34 00:03:01,240 --> 00:03:03,670 And just click open. 35 00:03:04,540 --> 00:03:06,550 Yeah, that sits immediately. 36 00:03:06,550 --> 00:03:07,680 Less than a seconds. 37 00:03:08,110 --> 00:03:13,150 Homer brings out your data here and analyzes it's. 38 00:03:14,690 --> 00:03:23,540 With these with these graphs and tables, so here let's go let's go through it very quickly. 39 00:03:24,880 --> 00:03:33,640 Here, it shows you daily from zero to twenty three, twenty four hours of the day of January, so this 40 00:03:33,640 --> 00:03:34,390 is for January. 41 00:03:34,390 --> 00:03:37,900 If you want to see the Almanza, just show all monsters here. 42 00:03:37,900 --> 00:03:39,760 You can see all the monsters here. 43 00:03:40,450 --> 00:03:44,640 And this is for January to December. 44 00:03:45,550 --> 00:03:51,460 This is the day that we entered and Holmer categorized it for us to the victims. 45 00:03:51,460 --> 00:04:00,250 And we can you can see there is a victims, there is evictees, and this is the hourly average for each 46 00:04:00,250 --> 00:04:01,300 month, for example. 47 00:04:01,300 --> 00:04:11,050 And in in our example, at 10 a.m. in January, the amount of our loads. 48 00:04:12,040 --> 00:04:18,210 Is ninety four point eighty eight, so this is gives you this gives you a good overview of your low 49 00:04:18,220 --> 00:04:22,360 data and it gives you here the timestep. 50 00:04:22,360 --> 00:04:24,370 As I mentioned, my data is hourly. 51 00:04:24,380 --> 00:04:26,380 So your time instead of 60 Minutes. 52 00:04:27,170 --> 00:04:31,460 And the peak month is January. 53 00:04:32,450 --> 00:04:40,940 So in January, you have to have most consumption and these are some graphs, nice graphs, for example, 54 00:04:40,940 --> 00:04:43,190 here sampled daily profile. 55 00:04:43,700 --> 00:04:52,480 As you can see, the peak here is, for example, at 10 a.m. and also there is another peak and some 56 00:04:53,450 --> 00:04:55,370 in seven p.m., something like that. 57 00:04:55,400 --> 00:04:57,860 So this is a daily graph. 58 00:04:58,340 --> 00:05:00,080 And here it's very important. 59 00:05:00,090 --> 00:05:07,380 This this one this box plot is very good to understand how your loads and loads is acting. 60 00:05:07,790 --> 00:05:11,840 So this is this box of shows in each mounds. 61 00:05:11,840 --> 00:05:12,950 How much electricity? 62 00:05:13,280 --> 00:05:15,980 What is the range of your electricity consumption? 63 00:05:15,980 --> 00:05:22,400 For example, in January, you as we mentioned here, your peak mount is January. 64 00:05:22,400 --> 00:05:25,940 As you can see in January, the maximum and minimum. 65 00:05:25,940 --> 00:05:27,800 It gives you all the information. 66 00:05:27,800 --> 00:05:32,720 The maximum is one hundred and sixty one kilowatts. 67 00:05:33,200 --> 00:05:34,820 The average is ninety four. 68 00:05:35,750 --> 00:05:35,990 The. 69 00:05:37,680 --> 00:05:45,900 A minimum is 15 kilowatts, so it gives you a minimum maximum on average, as all the boxes do, and 70 00:05:45,900 --> 00:05:52,590 you can see here that in the winter in January, if we were in December, the range of consumption is 71 00:05:52,830 --> 00:05:55,690 way more than what we have in India. 72 00:05:55,710 --> 00:06:05,040 For example, summer in July, June, July and August and may be waiting on each box blotz. 73 00:06:05,040 --> 00:06:10,150 You can see the minimum, average and maximum of that amount. 74 00:06:10,200 --> 00:06:18,180 So it's very good, good seasonal profile box blotz that Holmer draw for you immediately in less than 75 00:06:18,180 --> 00:06:22,620 a second for your data and here and not a yearly profile. 76 00:06:22,620 --> 00:06:24,000 A nice yearly profile. 77 00:06:24,000 --> 00:06:24,690 You can use it. 78 00:06:25,830 --> 00:06:35,310 As one of your reports, output reports up to Holmer that shows you much consumption in winter and the 79 00:06:35,310 --> 00:06:37,020 summer, then middle of the year. 80 00:06:38,190 --> 00:06:45,120 And here in this small table, you can see the average, the average of whole your whole day, then 81 00:06:45,120 --> 00:06:53,780 that's Seasonale in kilowatt hours per day, in kilowatts and the peak of your data and the load factor. 82 00:06:54,270 --> 00:06:55,530 And here. 83 00:06:57,510 --> 00:07:05,430 You can also define the type of your little data is AC or DC, for example, usually typically you should 84 00:07:05,430 --> 00:07:14,460 put it in this in AC because if your building is commercial or residential, you need AC loped, but 85 00:07:14,460 --> 00:07:20,760 it's if it's industry, so you should change it to see if it's possible. 86 00:07:21,180 --> 00:07:24,090 So this is your decision. 87 00:07:24,090 --> 00:07:30,270 But typically we go for AC, for the residential and commercial building in urban or remote areas. 88 00:07:31,270 --> 00:07:38,320 And this is the Eskild annual average death also reported for you by Holmer So. 89 00:07:39,210 --> 00:07:40,110 What is this, this? 90 00:07:40,490 --> 00:07:47,460 Actually, it's very important because if you as you can see here, it's mentioned that it's sensitivity 91 00:07:47,460 --> 00:07:55,980 variable, Ed, that every time Homer shows you this, it means that you can change this, can give 92 00:07:55,980 --> 00:07:57,480 several numbers here. 93 00:07:57,780 --> 00:08:04,440 And Homer will do the sensitivity analyses using all these numbers that you mentioned any times. 94 00:08:04,440 --> 00:08:10,500 For example, here in Load's, you have this opportunity for this skilled animal average and you can 95 00:08:10,500 --> 00:08:12,810 change it to any other numbers. 96 00:08:13,410 --> 00:08:19,740 And Homer will do the optimization based on all these numbers that you define. 97 00:08:19,740 --> 00:08:22,680 And we'll give you the results based on these numbers. 98 00:08:22,680 --> 00:08:27,510 And you were actually doing sensitivity analyses on this variable. 99 00:08:30,120 --> 00:08:37,260 But when you when you don't see this bottom, it means that this is fixed or you cannot change it or 100 00:08:37,260 --> 00:08:39,460 you cannot do sensitivity analyses on it. 101 00:08:40,020 --> 00:08:48,390 So as you can see here, when we added the electrical load in its attic section, automatically the 102 00:08:48,390 --> 00:08:49,380 load is added. 103 00:08:49,410 --> 00:08:54,450 So this is our first components, our schematic if we come back. 104 00:08:54,990 --> 00:08:56,680 This is defined compact. 105 00:08:57,720 --> 00:09:00,060 You can see that we specified our location. 106 00:09:00,060 --> 00:09:01,500 We have our resources. 107 00:09:01,500 --> 00:09:02,850 We specified the load. 108 00:09:02,850 --> 00:09:11,010 And as you can see here, this is our first components in our energy system and its electrical load. 109 00:09:11,870 --> 00:09:17,270 OK, so that's it, we we set another important. 110 00:09:19,470 --> 00:09:27,720 Section of the Holmer and we are ready to go to to define our technologies and going to the next step. 111 00:09:28,950 --> 00:09:30,560 That's it for this session. 112 00:09:30,600 --> 00:09:34,890 And until the next session, take care and enjoy using Comber. 10728

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