Geometric Aspects of Assessing the Anticipated Energy Demand of a Designed Single-Family House

Abstract

Many factors affect energy demand, and knowing their impact is very important for being able to design a low-energy building. In this group of factors, there are those that cannot be changed and improved after the building is constructed, so taking them into account when choosing a project is important for energy savings. This group includes geometric parameters. We propose a geometric method of assessing the energy demand of a single-family house. The idea is to predict the level of energy demand by calculating the values of simple geometric parameters in the first stage of design. Based on the analysis of 30 realistically designed single-family houses, we show that the geometric indicators expressed by the base area Af, and perimeter P at a fixed building wall height h, perfectly characterize the amount of energy, both usable and final. Moreover, we show linear relationships between the nominated A/V and non-nominated EWA/FA, RCcd compactness ratios. This relationship allows one indicator to be measured with another. As a result, we show how a designer can use a simple calculated index RCcd to find out the level of energy demand.

Audit-Based Energy Performance Analysis of Multifamily Buildings in South-East Poland

“…This parameter is defined as the ratio between the external envelope area and the internal volume of the building and was introduced by Depecker et al [65] as the "shape coefficient". It is used in compactness evaluation and should not be confused with other similar factors [66][67][68]. The data in Table 4 show that the analysed set of buildings contained various objects, from small to large with 22 and 470 inhabitants, respectively.…”

“…This parameter is defined as the ratio between the external envelope area and the internal volume of the building and was introduced by Depecker et al [65] as the "shape coefficient". It is used in compactness evaluation and should not be confused with other similar factors [66][67][68].…”

“…The presented analysis allowed determining a number of statistically significant correlations. Some of them contain obvious dependencies connecting quantities of the same type such as area-volume, E A -E V indexes or Q H,nd and Q H,k (linked by η H,tot [68]). The same can be said about the number of building users per unit area or volume: n inh (A net ) and n inh (A usable ) and about ventilation airflow rate: V vent (V H ), V vent (A net ), V vent (A usable ) and V vent (n inh ).…”

Inžinerinė ir kompiuterinė grafika 2023. Konferencijos straipsnių rinkinys

“…Įrengiant saulės modulius, gyventojas kaip socialinis asmuo ne tik prisideda prie šiltnamio efektą sukeliančių dujų išmetimo mažinimo ir planetos apsaugos, bet ir pagerina savo gyvenimo kokybę ir patogumus, atitinkančius jo poreikius. Moksliniais tyrimais analizuojamas ryšys tarp stogų geometrijos, stogų padėties pasaulio šalių kryptimis ir energijos poreikio(Koźniewski et al, 2022), įvertinama nauda ir problemos, susijusios su vienbučių namų stogų formomis(Hachem et al, 2011), pateikiamas daugiakriteris stogų vertinimas, atsižvelgiant į saulės potencialą, padėtį, nuolydį, paviršių ir formą(Kolendo & Krawczyk, 2018). Nors per pastaruosius 10 metų plokščiųjų stogų populiarumas išaugo, siekiant modernumo ir elegancijos(Pérez-Carramiñana et al, 2022), šlaitiniai stogai vis dar yra populiarūs.Šio straipsnio tikslas -išnagrinėti, kaip keičiasi sumontuotų saulės elektrinių modulių galia priklausomai nuo stogo formos (plokščiojo ir šlaitinio) bei nuolydžio.…”