březen 2021
Vliv okrajových podmínek na vypočtenou hodnotu infiltrace EN ISO 52016-1 Vliv okrajových podmínek na vypočtenou hodnotu infiltrace EN ISO 52016-1 |
![]() |
|
![]() |
15. 3. 2021 | Autor: Ing. Martin Varga | |
Tento článek navazuje na již dříve uvedený (odkaz níže), týkající se vlivu voleb v zadání pro výpočet infiltrace na její výpočtovou výši dle EN ISO 52016-1, resp. prováděcí normu pro výpočet větrání EN 16 798-7. Nyní se podrobněji podíváme na jednu vstupní okrajovou podmínku výpočtu - referenční rychlost větru ve výšce 10 m nad zemí. |
říjen 2020
PENB na ucelené části budovy se společným nevytápěným prostorem - postup práce v programu ENERGETIKA PENB na ucelené části budovy se společným nevytápěným prostorem - postup práce v programu ENERGETIKA |
![]() |
|
![]() |
29. 10. 2020 | Autor: Ing. Martin Varga | |
V tomto článku podrobně popíšeme, jak postupovat v programu ENERGETIKA při zadání těchto PENB zpracovaných na ucelenou (nadzemní) část budovy v případě, že mají společný nevytápěný prostor (např. garáže). |
září 2020
Váhový činitel a typ regulace u VZT jednotky Váhový činitel a typ regulace u VZT jednotky |
![]() |
|
![]() |
24. 9. 2020 | Autor: Ing. Martin Varga | |
Tento článek má za úkol blíže vysvětlit funkci váhového činitele ve výpočtu spotřeby energie (elektřiny) u VZT jednotek a také vysvětlit jak jej ovlivňuje zvolený typ regulace pohonu ventilátorů VZT jednotky. Aktualizace 27.10.2020. |
červen 2020
Tepelné ztráty větráním EN ISO 13 790 vs. EN ISO 52 016-1 Tepelné ztráty větráním EN ISO 13 790 vs. EN ISO 52 016-1 |
![]() |
|
![]() |
3. 6. 2020 | Autor: Ing. Martin Varga | |
Mezi normami došlo k výraznému posunu jak ve výpočtu samotné hodnoty infiltrace, tak ve způsobu zahrnutí infiltrace do výpočtu. Níže v článku názorně a podrobněji probereme, proč a jak se výsledky liší. Citelná odlišnost nastává zejména u přirozeně větraných objektů a to v závislosti na zvolených vstupech do výpočtu výše infiltrace. |
květen 2017
Klasifikace spotřeby pro řízené větrání vychází ve třídě D a horší. Čím je to způsobeno? Klasifikace spotřeby pro řízené větrání vychází ve třídě D a horší. Čím je to způsobeno? |
![]() |
|
![]() |
4. 5. 2017 | Autor: Ing. Martin Varga | |
Aktualizace článku z 11.8.2014. Ve výpočtech ENB v případě, že máme i řízené větrání, vychází často klasifikace měrné spotřeby energie na řízené větrání ve třídě D a horší. Přitom se třeba jedná i o novostavby nebo nově instalované vzduchotechnické jednotky v rámci rekonstrukcí. Proto se zpracovatelé PENB většinou domnívají, že nová VZT musí znamenat nejhůře třídu C v klasifikaci VZT. Níže je uvedeno, na čem hodnocení, resp. klasifikace VZT závisí, a že taková domněnka "nová VZT jednotka = automaticky max. třída A, B, popř. C" není relevantní. |
duben 2017
Měrný příkon nuceného větrání Měrný příkon nuceného větrání |
![]() |
|
![]() |
10. 4. 2017 | Autor: Ing. Martin Varga | |
Níže v článku vysvětlíme, co je měrný příkon vzduchotechnické jednotky a jaké jsou typy regulace vzduchotechnických zařízení. |
květen 2016
Podíly pokrytí v protokolu PENB (podněty k vyhlášce o ENB č. 78/2013 Sb. část 2) Podíly pokrytí v protokolu PENB (podněty k vyhlášce o ENB č. 78/2013 Sb. část 2) |
![]() |
|
![]() |
24. 5. 2016 | Autor: Ing. Martin Varga | |
Ve vzoru protokolu PENB v příloze č. 4 vyhlášky o ENB 78/2013 (v aktuální znění) jsou tabulky pro technické systémy budovy, u nichž v jednom sloupci je uvedeno "Pokrytí dílčí potřeby energie [%]". Podle tabulky pro konkrétní systém jde o podíl pokrytí vytápění, chlazení, větrání nebo přípravu teplé vody. Ze vzoru protokolu PENB jednoznačně nevyplývá, "čeho" podíl se má vyjadřovat. Viz následující příspěvek. |
březen 2016
Vliv hodnoty n50 na potřebu tepla na vytápění Vliv hodnoty n50 na potřebu tepla na vytápění |
![]() |
|
![]() |
14. 3. 2016 | Autor: Ing. Martin Varga | |
Zpracovatelé PENB si všimnou, že v některých přípradech navrhované opatření instalace nuceného větrání s rekuperací nemá energeticky úsporný efekt nebo má menší, než by očekávali. Čím je to způsobeno? |
Zpracovatelé PENB si všimnou, že v některých přípradech navrhované opatření instalace nuceného větrání s rekuperací nemá energeticky úsporný efekt nebo má menší, než by očekávali. Čím je to způsobeno?
Pro Ilustraci si představme např. RD, na kterém vysvětlíme, proč tomu tak v některých případech je a o jaké případy jde.
RD je např. typu "bungalow" s nevytápěnou půdou. Čistý objem vzduchu v obytné (vytápěné) části je např. Vint= 631,3 m3. Požadavek na výměnu vzduchu byl ve výpočtu zadán Vnd= 0,30 1/h...čili.....Vnd = 631,3 * 0,30 = 189,4 m3/h. Všechny obalové konstrukce jsou navrženy na doporučenou hodnotu součinitele prostupu tepla dle ČSN 73 0540-2, stínění výplní není uvažováno. Činitel infiltrace na základě expozice povětrnostním vlivům pro výpočet objemu vzduchu měněného v důsledku netěsností obálky budovy uvažován e=0,07.
Zde ještě něco málo z teorie:
Hodnota n50 uvádí násobnosti výměny vzduchu skrz nětěsnosti v obálce budovy při tlakovém rozdílu 50 Pa. Tento tlakový rozdíl není přirozený, takže v žádném případě nelze tuto hodnotu přímo porovnávat např. s požadavkem na objem větrání stanovený násobností výměny vzduchu. Porovnat lze po převedení na přirozený tlakový rozdíl. Objem nežádoucí infiltrace (výměny vzduchu) vlivem hodnoty n50 se stanoví podle vzorce:
Hrubě lze také pro první představu o velikosti infiltrace při přirozeném tlakovém rozdílu podělit hodnotu n50 hodnotou 20. Toto je však velmi hrubý empirický odhad, vycházející z praxe. Ve výpočtech aplikace ENERGETIKA se uvažuje vždy se vzorcem uvedeným výše.
Zde ještě něco málo z teorie:
Hodnota n50 uvádí násobnosti výměny vzduchu skrz nětěsnosti v obálce budovy při tlakovém rozdílu 50 Pa. Tento tlakový rozdíl není přirozený, takže v žádném případě nelze tuto hodnotu přímo porovnávat např. s požadavkem na objem větrání stanovený násobností výměny vzduchu. Porovnat lze po převedení na přirozený tlakový rozdíl. Objem nežádoucí infiltrace (výměny vzduchu) vlivem hodnoty n50 se stanoví podle vzorce:
Vinf [m3/h] = Vint [m3] * n50 [1/h] * e [-]
Dle našeho případu při n50=4,5 [1/h] tak lze porovnat požadavek n=0,30 [1/h] s n,inf = Vinf / Vint = 0,315 [1/h]. Pro tento případ bychom tedy mohli konstatovat, že vzduchové netěsnosti v obálce budovy jsou takového rozsahu, že jsou schopny plně zajistit minimální požadovanou výměnu vzduchu v budově.
Hrubě lze také pro první představu o velikosti infiltrace při přirozeném tlakovém rozdílu podělit hodnotu n50 hodnotou 20. Toto je však velmi hrubý empirický odhad, vycházející z praxe. Ve výpočtech aplikace ENERGETIKA se uvažuje vždy se vzorcem uvedeným výše.
A)
Nyní si představme tento objekt nejprve s přirozeným větráním v několika variantách vzdchotěsnosti obálky (n50) vytápěné části budovy. Na grafu níže je uvedena závislost potřeby tepla na vytápění při přirozeném větrání pro různé hodnoty n50:
![](data:image/png;base64,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)
Komentář k přirozenému větrání:Z čistě energetického hlediska je "jedno", kudy se čestvý vzduch při přirozeném větráním do objektu dostane a kdo nebo co zapřičiní jeho výměnu (infiltrace skrz funkční spáry výplní, "trhlina ve zdi" apod.). Sledujeme jen měněný objem, který musíme v otopné sezóně ohřát na požadovanou teplotu. Z toho důvodu do doby, kdy objem výpočtené infiltrace Vinf na základě hodnoty n50 a činitele e nepřekročí požadovanou výměnu vzduchu Vnd nemá výše infiltrace vliv na potřebu tepla na vytápění. Do výpočtu vstupuje vždy maximální hodnota z požadavku na výměnu vzduchu a z vypočtené infiltrace. Pokud je infiltrace větší než požadavek na větrání, tak je naprosto logické, že tento měněný vzduchu "navíc" musíme také ohřát na požadovanou teplotu v interiéru, protože se do interiéru dostane vlivem nadměrné vzduchové netěsnosti obálky budovy, nad kterou nemá uživatel objektu kontrolu. Z vyše uvedeného také vyplývá odpověď na častou otázku: "Měním hodnotu n50 a výsledek potřeby tepla na vytápění je stále stejný. Kde je chyba?". Chyba to není ..... do doby Vinf < Vnd, zadaná hodnota n50 nemá skutečně vliv na potřebu tepla na vytápění a výpočet se nemění. (viz předchozí článek v technické knihovně: zde)
B)
Nyní si představme tento objekt s nuceným větráním bez rekuperace se stejnými variantami vzduchotěsnosti
obálky (n50) vytápěné části budovy (uvažujeme rovnotlakou VZT jednotku).
Poznámka: Aby platil výše uvedený vzorec pro výpočet objemu infiltrace Vinf i pro nucené větrání, záměrně jsme zvolili rovnotlaké nucené větrání, což je u nuceného větrání obytných budov převažující způsob. Při přetlakovém nebo podtlakovém nuceném větrání je vzorec pro výpočet Vinf "složitější" (při Vsup=Vex - rovnotlaké větrání se vzorec reduje na tvar uvedený výše): Vinf = (Vint *n50 * e) / (1+ f/e * [(Vsup - Vex) / (Vint * n50)]^2).
![](data:image/png;base64,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)
Poznámka: Aby platil výše uvedený vzorec pro výpočet objemu infiltrace Vinf i pro nucené větrání, záměrně jsme zvolili rovnotlaké nucené větrání, což je u nuceného větrání obytných budov převažující způsob. Při přetlakovém nebo podtlakovém nuceném větrání je vzorec pro výpočet Vinf "složitější" (při Vsup=Vex - rovnotlaké větrání se vzorec reduje na tvar uvedený výše): Vinf = (Vint *n50 * e) / (1+ f/e * [(Vsup - Vex) / (Vint * n50)]^2).
C)
Nyní si představme tento objekt s
nuceným větráním s rekuperací se stejnými variantami vzduchotěsnosti
obálky (n50) vytápěné části budovy (uvažujeme rovnotlakou VZT jednotku s průměrnou sezónní účinností rekuperace např. 75%)
![](data:image/png;base64,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)
Komentář k nucenému větrání:
Nucené větrání z hlediska požadavku na výměnu vzduchu má tu výhodu, že VZT zařízení dopravuje přesně takový objem vzduchu do budovy popř. zóny, který si nastavíme dle požadavku projektu, resp. profilu užívání. Z toho plyne základní důsledek: ostatní výměna vzduchu, nad kterou nemá uživatel kontrolu=infiltrace je nežádoucí! Pokud k ní při nuceném větrání dochází, navyšujeme zbytečně výměnu vzduchu nad rámec požadavku, který musíme také ohřát (nutný zvýšený tepelný výkon ohřívače VZT jednotky -> vyšší teplota ohřívaného vzduchu přiváděného do zóny z VZT zařízení nebo větší množství recirkulovaného vzduchu nebo nutnost kombinace s dalším systémem vytápění - vše na základě posouzení komfortu užívání apod.). Důsledek je jasný: vyšší potřeba tepla na vytápění popř. i vyšší spotřeba elektřiny na nucené větrání v případě nutnosti využít recirkalci pro přenesení potřebného tepelného výkonu. Z toho důvodu jakýkoliv objem výpočtené infiltrace Vinf na základě hodnoty n50 a činitele e vstupuje u nuceného větrání vždy do výpočtu a ovlivňuje, resp. navyšuje potřebu tepla na vytápění. Kalkulovat z hlediska přívodu čerstvého vzduchu do zóny s tím, že část se do zóny dostane nežádoucí infiltrací a o tuto část snížit objem požadovaného větraného vzduchu VZT není smysluplné. Investice do nuceného větrání by tím ztrácela smysl.
Při nuceném větrání s rekuperací je tento princip ještě patrnější. Pokud chceme instalací nuceného větrání s rekuperací dosáhnout maximální ekonomickou efektivitu, je nutno celý požadovaný objem větrání zajistit VZT jednotkou, tedy přes rekuperační výměník. Jakýkoliv další nežádoucí měněný vzduch vlivem infiltrace bychom museli také ohřát, a navíc bychom pro tento vzduch nedokázali využít výhodu rekuperace, protože neproudí skrz rekuperační výměník, resp. skrz VZT jednotku. Z vyše uvedeného také vyplývá odpověď na častou otázku: "Prověřoval jsem jako úsporné opatření instlaci nuceného větrání s rekuperací. Po výpočtu se potřeba tepla na vytápění nesnížila v takové míře dle očekávání nebo zůstavá cca "stejná" nebo dokonce se zvýšila. Kde je chyba? Výpočet na zadání rekuperace nereaguje!". Chyba to není a výpočet na zadání rekuperace reaguje ..... v tomto případě velmi záleží na zadané hodnotě n50 v původním stavu objektu před opatřením a n50 po opatření. Jelikož u nuceného větrání vstupuje do výpočtu n50 vždy na rozdíl od přirozeného větrání, může se stát dle výpočtené výše Vinf, že skutečně potřeba tepla na vytápění v novém stavu s navrženým nuceným větráním s rekuperací bude dokonce vyšší, než v původním stavu jen s přirozeným větráním. Vinf (nežádoucí infiltrace) u nuceného větrání v takovém případě snižuje nebo dokonce převýší přínos rekuperace.
Co říká norma?
Závěr:
Níže na grafu je uvedeno porovnání výsledné potřeby tepla na vytápění pro tento RD pro různé typy větrání v závislosti na vzduchotěsnosti obálky budovy (n50). Z porovnání je patrné, že v tomto případě nad n50=3,0 1/h instalace nuceného vatrání s rekuperací nemá praktický energeticky úsporný efekt oproti původnímu přirozenému větrání (porovnáváme jen potřebu tepla na vytápění).
![](data:image/png;base64,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)
Při nuceném větrání s rekuperací je tento princip ještě patrnější. Pokud chceme instalací nuceného větrání s rekuperací dosáhnout maximální ekonomickou efektivitu, je nutno celý požadovaný objem větrání zajistit VZT jednotkou, tedy přes rekuperační výměník. Jakýkoliv další nežádoucí měněný vzduch vlivem infiltrace bychom museli také ohřát, a navíc bychom pro tento vzduch nedokázali využít výhodu rekuperace, protože neproudí skrz rekuperační výměník, resp. skrz VZT jednotku. Z vyše uvedeného také vyplývá odpověď na častou otázku: "Prověřoval jsem jako úsporné opatření instlaci nuceného větrání s rekuperací. Po výpočtu se potřeba tepla na vytápění nesnížila v takové míře dle očekávání nebo zůstavá cca "stejná" nebo dokonce se zvýšila. Kde je chyba? Výpočet na zadání rekuperace nereaguje!". Chyba to není a výpočet na zadání rekuperace reaguje ..... v tomto případě velmi záleží na zadané hodnotě n50 v původním stavu objektu před opatřením a n50 po opatření. Jelikož u nuceného větrání vstupuje do výpočtu n50 vždy na rozdíl od přirozeného větrání, může se stát dle výpočtené výše Vinf, že skutečně potřeba tepla na vytápění v novém stavu s navrženým nuceným větráním s rekuperací bude dokonce vyšší, než v původním stavu jen s přirozeným větráním. Vinf (nežádoucí infiltrace) u nuceného větrání v takovém případě snižuje nebo dokonce převýší přínos rekuperace.
Co říká norma?
- Proto také ČSN 73 0540-2 v kapitole 7 "Šíření vzduchu konstrukcí a budovou" doporučuje těsnost obálky budovy, resp. hodnoty n50 na základě použitého typu větrání.
- Proto také NZÚ v oblasti podpory B (podpora novostaveb RD) vyžaduje hodnotu n50=0,60 1/h nikoliv jenom jako projektový předpoklad, ale i potvrzení této hodnoty měřením blower-door testem po realizaci. A je tím podmíněno i přiznání dotace. Podpora novostaveb RD v oblasti podpory B se totiž neobejde bez instalace nuceného větrání s rekuperací.
Závěr:
Níže na grafu je uvedeno porovnání výsledné potřeby tepla na vytápění pro tento RD pro různé typy větrání v závislosti na vzduchotěsnosti obálky budovy (n50). Z porovnání je patrné, že v tomto případě nad n50=3,0 1/h instalace nuceného vatrání s rekuperací nemá praktický energeticky úsporný efekt oproti původnímu přirozenému větrání (porovnáváme jen potřebu tepla na vytápění).
- Při návrhu nuceného větrání v objektu je nutné věnovat pozornost kromě VZT zařízení i stavu vzduchotěsnosti obálky budovy (n50), protože zásadním způsobem ovlivňuje energetické, ekonomické a provozní parametry budovy.
- Mohlo by se zdát, že u přirozeného větrání není nutné vzduchotěsnost obálky budovy řešit až tak důsledně. To platí do jisté výše pro výslednou hodnotu infiltrace za celou budovu, ale nikoliv pro jednotlivé konstrukce a jejich styky v obalovém plášti. Jinak to může vyústit ve stavebně-fyzikální jevy a následně problém s kvalitnou užívání stavby. V hroším případě i ve statický problém např. u dřevostaveb (degradace dřevěných nosných prvků vlivem opakující se kondenzace na prvcích ochlazovaných proudícím exteriérovým vzduchem v netěsné stěně). K infiltraci by mělo docházet pouze skrz prvky, které jsou k tomu určeny, např. funkční spára výplní nebo speciální (uzavíratelné) vzduchové kanálky např. v parapetech oken apod. = infiltrace je vždy pod kontrolou a lze ji v případě potřeby omezit.
- Jak zjistit hodnotu n50? U stávajícíh staveb lze hodnotu zjistit měřením pomocí tzv. blower-door testu. U nově projektovaných staveb se jedná o projektový předpoklad, který by měl cílit na hodnoty uvedené v ČSN 73 0540-2 (kap. 7) viz tabulka výše. Konečnou hodnotu kromě návrhu skladeb konstrukcí a detailů (styků konstrukcí) zásadním způsobem ovlivňuje kvalita realizace. V programu ENERGETIKA je u pole zadání n50 nápověda, kde lze v případě absence naměřené hodnoty u stávajícíh staveb, uvažovat orientačně hodnotu n50 na základě stavu obalového pláště budovy.
prosinec 2015
Intenzita větrání v profilech užívání Intenzita větrání v profilech užívání |
![]() |
|
![]() |
16. 12. 2015 | Autor: Ing. Martin Varga | |
V předdefinovaných profilech užívání dle TNI 73 0331 je možnost definování výměny vzduchu v zóně až 3 způsoby. Níže uvedeme podrobnosti týkající se uvažované výměny vzduchu v zadání pro výpočet od verze 4.2.1. |
listopad 2015
Odlišné zadání vstupů pro větrání po měsících Odlišné zadání vstupů pro větrání po měsících |
![]() |
|
![]() |
11. 11. 2015 | Autor: Ing. Martin Varga | |
U MĚS modulu (s měsíčním krokem výpočtu) doplněna funkce (od verze aplikace 4.1.0.) pro možnost zadání odlišných vstupů pro každý měsíc. |
červenec 2015
Krátké nucené odvětrání prostor (např. WC, koupelna) - jak zadat? Krátké nucené odvětrání prostor (např. WC, koupelna) - jak zadat? |
![]() |
|
![]() |
2. 7. 2015 | Autor: Ing. Martin Varga | |
Stále častěji přibývají diskuze, zda například odtahové ventilátory v hygienických jádrech (WC, koupelna) nebo v digestořích v kuchyních či kuchyňských koutech zadávat či nikolv pro výpočet ENB. V tomto příspěvku uvedeme specifika způsobu zadání těchto zařízení do měsíčního a hodinového modulu výpočtu, pokud je chceme ve výpočtu postihnout. |
listopad 2014
Vstupuje hodnota n50 do výpočtu energetické náročnosti přirozeně větraných budov? Vstupuje hodnota n50 do výpočtu energetické náročnosti přirozeně větraných budov? |
![]() |
|
![]() |
4. 11. 2014 | Autor: Ing. Martin Varga | |
Na technickou podporu jsme dostali zajímavý dotaz ohledně zadávání násobnosti výměnu vzduchu v SW Energetika. Tazatel se ptá, zda vstupuje větrání netěsnostmi konstrukcí (hodnota n50) do výpočtu energetické náročnosti v případě, že ke zóna přizozeně větraná. Danou problematiku konzultoval se zástupci SFŽP a ČVUT a dostal informaci, že pokud někdo uvažuje ve výpočtu s hodnotou n50, postupuje v rozporu s ČSN EN ISO 13789. Pojďme se na tuto problematiku podívat podrobněji. |