Afrikaans
Akan
Albanian
Amharic
Arabic
Armenian
Azerbaijani
Basque
Belarusian
Bemba
Bengali
Bihari
Bosnian
Breton
Bulgarian
Cambodian
Catalan
Cebuano
Cherokee
Chichewa
Chinese (Simplified)
Chinese (Traditional)
Corsican
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Ewe
Faroese
Filipino
Finnish
Frisian
Ga
Galician
Georgian
German
Greek
Guarani
Gujarati
Haitian Creole
Hausa
Hawaiian
Hebrew
Hindi
Hmong
Hungarian
Icelandic
Igbo
Indonesian
Interlingua
Irish
Italian
Japanese
Javanese
Kannada
Kazakh
Kinyarwanda
Kirundi
Kongo
Korean
Krio (Sierra Leone)
Kurdish
Kurdish (Soranรฎ)
Kyrgyz
Laothian
Latin
Latvian
Lingala
Lithuanian
Lozi
Luganda
Luo
Luxembourgish
Macedonian
Malagasy
Malay
Malayalam
Maltese
Maori
Marathi
Mauritian Creole
Moldavian
Mongolian
Myanmar (Burmese)
Montenegrin
Nepali
Nigerian Pidgin
Northern Sotho
Norwegian
Norwegian (Nynorsk)
Occitan
Oriya
Oromo
Pashto
Persian
Polish
Portuguese (Brazil)
Portuguese (Portugal)
Punjabi
Quechua
Romanian
Romansh
Runyakitara
Russian
Samoan
Scots Gaelic
Serbian
Serbo-Croatian
Sesotho
Setswana
Seychellois Creole
Shona
Sindhi
Sinhalese
Slovak
Slovenian
Somali
Spanish
Spanish (Latin American)
Sundanese
Swahili
Swedish
Tajik
Tamil
Tatar
Telugu
Thai
Tigrinya
Tonga
Tshiluba
Tumbuka
Turkish
Turkmen
Twi
Uighur
Ukrainian
Urdu
Uzbek
Vietnamese
Welsh
Wolof
Xhosa
Yiddish
Yoruba
Zulu
Hi and welcome to Holmer Tutorial, and this session, as we promised, we want to start over small
projects together.
So, OK, so opening the Holmer and as I mentioned to you, you can make this section empty.
It's not very important.
When you want to share results with someone, it's better to mention your name.
And then the first part, it's you want to go through it very quickly and it's very easy in this session
is.
The deep look at specifying the location and also downloading some resources for dads, let's go through
it.
So imagine that my location is so my data is for a building in Montreal.
So let's search Montreal here.
And the the cursor is going immediately to the marginal section, so as you can see here, the Holmer
specified maps will kind of look back for us then it's it's done.
So we need to download the resources that we talked about in the previous sections, if you remember,
from this spot.
And so just click on the resource and it gives you.
Three option Solah temperature, and then you can download each one of them that you need, but let's
download all of them and then we can talk about them.
So these data are coming from the NSA database, NASA's surface controllers in solar energy database.
So Clinton downloads and receiving this
this tab that gives you the research that led downloaded successfully pressing.
OK, it means that the resources for that location is downloaded.
So let's check them.
Go to the components bottom here.
Sorry, resort bottom and then go to solar, a global horizontal irradiance or Gashi, so as you can
see, by downloading the Redish solar radiation here, Holmer immediately shows you the results of the
clearance index and the radiation for you in this table.
And you can see the monthly average solar radiation for different is.
In in in Montreal, in Canada, and as you can see and you can see that also in this beautiful bar charts,
this Holmer draw for us.
So as you can see, the solar radiation Ohgi in Montreal and summer is higher than in the winter.
And it's logical.
It's, it's fair enough.
And the syndicate is not fluctuating so much.
But the, the solar radiation is very high in the summer and very low indeed in the winter.
And yeah, that's the information I here you can see the annual average of the solar radiation also
and some information about the period of of the of these these measurements that, for example, here
these data are coming from nineteen eighty three to 2005.
So it's it's measured in a period of twenty two years.
So it's somehow good database.
And the other one is the vind, if we click on the winds, we have more options here.
So for the speed, as you can see, again, the average wind speeds and meter per second.
Just be careful that all the units in Holmer or Assai units.
So from January until December, you can see the average wind speeds and also.
Again, a graph is drawn by the home itself.
There is no very special fluctuation, but in the winter for sure, the amount of wind speed is a little
bit higher than in summer.
As you can see here, for example, December, the values, the average is four point fifty one, but
in July, for example, is three point seventy nine.
And it's about one meter per second difference, so.
Also here, you can see it's very important, it's what is the height of the measurement up to the speed
and at home, it gives you this information that the database of NACI is based on the wind speed measured
at 50 meter above the surface.
And this is, again, the period did in this year or 10 years, and also you can change this, for example,
you can you can say that, OK, I don't want 50 meters for my height.
My height is about, for example, my wind turbine is.
The Hobbit is 20 minutes or so, you can change this tiny meter and what's Homer do is based on this
DTAP variation with height, it will change your data so it will show you how it changes it with the
height.
So, for example, if you bring down the heights from 50 meter, that is, for example, here to 10
meter that is here, you are just bringing down the wind speed from here, for example, to here.
That is three point five, something like that.
So it changed the way you can see the exponentially graph of the logarithmic graph of the curve in the
speed that is changing with height.
So we changing the parameters of height from 50 to 20.
It will change your data from 50 to 20 just based on this logarithmic graph.
And here also you can change the surface roughness lengths.
Several Stromness lengths means the height of the speed is above the ground is zero.
So, for example, here the default is.
Zero point zero point zero one, so you can change it to any number that you think it's true.
And also there were some advance promoters, something like, for example, wait, we will shape factor.
It's just if you don't know about these advanced parameters, just leave them as the default so you
don't need to change them all.
But it gives you this opportunity to change these factors as well.
So.
This is all about the wind speed as well.
It gives you a very good information about the wind speed it downloaded from the NSF cosmetology.
And the last one is the temperature in it, just like the previous tabs for the solar radiation and
also the wind here you can see the average temperature for each month.
And also at the end, it gives you the annual average.
As you can see, the Montreal is considered a cold area.
So the average is about five point sixty nine.
That's calculated by Homer.
And you can see the average of the temperature in each mount's.
So if you're dealing, for example, with solar panels, you need to download this temperature from
the NAZAN database as well.
And you can CD or short as well.
So in the summer, we have high temperature.
In the winter we have minus negative temperature.
So and also you can see the again, the information of the data that is measured for twenty two years.
So it gives you a very good information about the data that is the low.
That's from the national database.
So.
This is all about the three main resources that we need for this project, so that's done.
We specified our location, we specified our resources, and we were ready to go to the next steps and.
I'm very excited to do that, and until then, take care and enjoy using Colmar.
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.