Szczegóły publikacji

Opis bibliograficzny

Thermal network model for an assessment of summer indoor comfort in a naturally ventilated residential building / Piotr MICHALAK // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073. — 2022 — vol. 15 iss. 10 art. no. 3709, s. 1–19. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 16–19, Abstr. — Publikacja dostępna online od: 2022-05-18

Autor

Słowa kluczowe

EN 16798‐1EN ISO 13790EnergyPlusthermal comfortthermal network model5R1Ccomfort zoneASHRAE 55EN 15251operative temperature

Dane bibliometryczne

ID BaDAP140201
Data dodania do BaDAP2022-05-27
Tekst źródłowyURL
DOI10.3390/en15103709
Rok publikacji2022
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaEnergies

Abstract

Costs of cooling installations cause them to be very rarely used in residential buildings in countries located in heating-dominated climates, like Poland. Hence, there arises the need to assess indoor thermal comfort during summer and to indicate ways to reduce possible overheating. This paper presents an attempt to use the thermal network model of the building zone of EN ISO 13790 to assess indoor operative temperature during four warm months from June to September. The model of the naturally ventilated single-family residential building located in central Poland was used. Performed calculations for the base case resulted in 38 and 63 days within the comfort zone at 80% acceptance level in a total of 122 days in the analyzed period for EN 15251 and ASHRAE standards, respectively. Use of external shading on windows and the roof with lower solar absorptance resulted in 46 and 70 days with acceptable conditions, respectively. Further application of night ventilation resulted in the 38 and 63 days, respectively. From the considered solutions in Polish climate conditions, windows shading seems to be the most efficient solution when controlling indoor comfort in residential buildings with no cooling system. A comparison of hourly operative temperature from that model with the detailed simulation in EnergyPlus showed a strong correlation with R2 = 0.934.

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