66 research outputs found
A Visual Method for Detailed Analysis of Building Life Cycle Assessment Results
In the environmental analysis of buildings, Life Cycle Assessment (LCA) is gaining more
and more interest. It is due to the fact, that LCA is very comprehensive in considering many impacts
in all life-cycle phases of the examined building. Since buildings have a complicated geometry that
is built up with numerous constructions that consist of many materials, and the life-cycle includes
many phases, the results of an assessment are likely to be difficult to analyze in detail. In this paper
we introduce a visual method to help architects and analysts to quickly understand the results of an
environmental assessment. It includes the hierarchic visualization of the performance of the individual
elements of the building. Both energy use and environmental impacts can be presented. Also the
contribution of the different life-cycle phases in the overall impact is visualized. There are increasing
efforts nowadays to find the most efficient way to improve the environmental performance of buildings
[1]. This can be supported with a detailed analysis of the results. The method is presented through
a case study of a realized energy efficient one-family house
OptimĂĄlis Ă©pĂŒletenergetikai felĂșjĂtĂĄs : Környezeti Ă©s gazdasĂĄgossĂĄgi szempontok a legkedvezĂ”bb megoldĂĄs megtalĂĄlĂĄsĂĄhoz
TörtĂ©neti ablakok Ă©pĂŒletfizikai tulajdonsĂĄgai 3.: TermĂ©szetes filtrĂĄciĂł
ĂltalĂĄnos jelensĂ©g, hogy a hagyomĂĄnyos Ă©pĂtĂ©sƱ tĂĄrsashĂĄzi lakĂĄsok törtĂ©neti ablakait, ajtĂłit kibontjĂĄk Ă©s modern nyĂlĂĄszĂĄrĂłkra cserĂ©lik, ami utĂĄn a fƱtĂ©si idĂ©nyben
penĂ©szesedni kezdenek a falak. A nagy lĂ©gzĂĄrĂĄsĂș modern nyĂlĂĄszĂĄrĂłk ugyanis nem tudjĂĄk azt a termĂ©szetes filtrĂĄciĂłt biztosĂtani, amit az ĂĄtlagos pĂĄraterhelĂ©sƱ,
hagyomĂĄnyos szellĆzĂ©sƱ lakĂłterek megkövetelnek, Ă©s amit a törtĂ©neti nyĂlĂĄszĂĄrĂłk az ablakcsere elĆtt biztosĂtottak. Emiatt a lakĂłterek relatĂv nedvessĂ©gtartalma
megnĆ, ami a hatĂĄrolĂł-szerkezetek belsĆ felĂŒletĂ©n kicsapĂłdik, ez pedig penĂ©szesedĂ©shez vezethet. CikkĂŒnk azt hivatott bemutatni, hogy a pallĂł- Ă©s gerĂ©btokos
ablakok filtrĂĄciĂłs tulajdonsĂĄgaik miatt is igen fontosak a termĂ©szetes szellĆzĂ©sƱ, hagyomĂĄnyos lakóépĂŒletekben, modern nyĂlĂĄszĂĄrĂłkra valĂł cserĂ©jĂŒk vagy tĂșlzott
tömĂtĂ©sĂŒk igen sĂșlyos pĂĄrĂĄsodĂĄsi problĂ©mĂĄk okozĂłja lehet
Dinamikus paramĂ©terek az energiaigĂ©ny szĂĄmĂtĂĄsĂĄban. 1. rĂ©sz: NettĂł fƱtĂ©si energiaigĂ©ny avagy szorozzunk-e hasznosĂtĂĄsi tĂ©nyezĆvel?
This paper compares the calculation of heating energy
need according to the Hungarian official methodology
used for the certification of buildings and the seasonal
method in the EN ISO 13790 standard. Both methods
have a similar structure, but the Hungarian method
contains several simplifications. A major simplification is
that dynamic parameters in the utilisation of heat gains
are not calculated, but the utilisation factors are fixed
values for two categories of buildings (lightweight and
heavyweight). This paper analyses the error as a result of
this simplification on an example residential and office
building. To increase the number of cases, a Monte Carlo
analysis is performed with varying parameters of the
geometry of the building, the orientation, thermal transmittance,
window-to-wall ratio, shading and internal heat
capacity.
According to the results, the Hungarian methods
consequently overestimates the heating energy need by
3â4 kWh/m2a on average, which is acceptable for
conventional buildings. However, for very low energy
buildings with high internal heat gains it is advisable to
calculate the utilisation factors according to the 13790
standard, as in this range the Hungarian method may
underestimate the energy need
A kannabinoidok hatåsai és hasznålatuk veszélyei
Az indiai kender (Cannabis sativa) fĆ hatĂłanyaga a THC, illet ve a szintetikus
kannabinoidok az agy CB1 tĂpusĂș endocannabinoid receptorain fejtik ki hatĂĄsukat.
A marihuĂĄna Ă©s a szintetikus kannabinoidok tartĂłs hasznĂĄlata fĂŒggĆsĂ©ghez
vezethet, ennek ellenére a fiatalok körében fogyasztåsuk egyre népszerƱbb,
2018-ban
a
felnĆtt
népesség
7,4%-a
prĂłbĂĄlta
ki
a
kannabiszt,
Ă©s
1,9%
a
szintetikus kannabinoidokat. FĆleg a szintetikus kannabinoid fogyasztĂĄs
terjed, 2018 vĂ©gĂ©re a cannabis utĂĄni negyedik helyrĆl mĂĄsodik helyre kerĂŒlt
a felmérések szerint (EMCCDA, 2018). A szintetikus kannabinoid termékekhez
sokszor amfetamint, benzodiazepineket, ĂłpiĂĄtokat is kevernek, emiatt hatĂĄsuk
kiszĂĄmĂthatatlan. A kannabisz Ă©s a kannabinoidok veszĂ©lyeit sokan alĂĄbecsĂŒlik,
pedig a genetikai adottsågaik miatt skizofréniåra hajlamos, illet ve a szociålis
vagy pszichikai problĂ©mĂĄik elĆl szerhasznĂĄlatba menekĂŒlĆ fiatalok kĂŒlönösen
veszĂ©lyeztetettek, a körĂŒkben vĂ©gzett prevenciĂł kiemelkedĆ jelentĆsĂ©gƱ lenne. ---- The main active substance of the plant Cannabis sativa is tetrahydrocannabinol
( THC). THC acts on endocannabinoid (CB1) receptors found in many
brain areas. Several synthetic THC-like compounds are produced, they bound
to CB1 receptor and mimic some of the effects of marijuana. Both marijuana
and synthetic cannabinoid usage could lead to addiction. In spite of this, the
consumption of them is growing among young people. Synthetic cannabinoid
products are more dangerous than marijuana, their effect is usually unpredictable,
because during their production, many other psychoactive substances
are added to the synthetic cannabinoids, like amphetamine, opiates, benzodiazepins,
to enhance their euphoric effect and addictivit y. Young people who
use these substances because of their social or psychical problems and/or are
genetically disposed to schizophrenia, are extremely endangered. That âs why
targeted prevention should be used in their case to reduce the harm connected
with cannabinoid usage
Az Ă©pĂŒletekben felhasznĂĄlt energiahordozĂłk primerenergia-tĂ©nyezĆje: mennyi az annyi? â 1. rĂ©sz
Dinamikus paramĂ©terek az energiaigĂ©ny szĂĄmĂtĂĄsĂĄban. 2. rĂ©sz. NettĂł hƱtĂ©si energiaigĂ©ny
Az Ă©pĂŒletekben felhasznĂĄlt energiahordozĂłk primerenergia-tĂ©nyezĆje: mennyi az annyi? â 2. rĂ©sz
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