Assessment of the Residential Building Passivity According to the Criteria of the Passive House Institute and the PHPP Algorithm

This study compares PHPP and ArCADia-TERMOCAD software and methodology in assessing the energy efficiency of a newly built single-family house. Three design scenarios were analysed to achieve a heating and ventilation energy demand of QH,nd ≤ 15 kWh/(m²∙a). PHPP results showed that only an 88% efficient heat recovery ventilation system met the criteria, classifying the building as Passive – Classic. Adding PV micro-installations increased the PER production rate to 44.7 kWh/m² annually, still below the 60 kWh/m² requirement for the Passive–Plus class. CO₂ emissions remained below 20 kg/m² annually. ArCADia-TERMOCAD results differed by 18-50%. While PHPP provides a detailed thermal bridge analysis, it does not comply with national reporting standards, and the use of certified solutions significantly increases the calculated energy demand. The EP indicator for non-renewable primary energy demand, due to the exclusion of household electricity consumption (e.g., for appliances and electronics), is lower under method M1 by 22% for scenario 1 (with hybrid ventilation) and up to 150% for scenario 2 (with mechanical ventilation). Additionally, the EP indicator in PHPP is calculated independently of photovoltaics, meaning the presence of PV installations does not directly reduce the EP value.

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Publication Details

Journal
Rocznik Ochrona Środowiska
Published
2025-08-26
DOI
https://doi.org/10.54740/ros.2025.036
Primary Topic
Advanced Decision-Making Techniques
Type
article
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Assessment of the Residential Building Passivity According to the Criteria of the Passive House Institute and the PHPP Algorithm

Sylwia Wciślik
Rocznik Ochrona Środowiska
Advanced Decision-Making Techniques
article

Assessment of the Residential Building Passivity According to the Criteria of the Passive House Institute and the PHPP Algorithm

Sylwia Wciślik
article en

Abstract

This study compares PHPP and ArCADia-TERMOCAD software and methodology in assessing the energy efficiency of a newly built single-family house. Three design scenarios were analysed to achieve a heating and ventilation energy demand of QH,nd ≤ 15 kWh/(m²∙a). PHPP results showed that only an 88% efficient heat recovery ventilation system met the criteria, classifying the building as Passive – Classic. Adding PV micro-installations increased the PER production rate to 44.7 kWh/m² annually, still below the 60 kWh/m² requirement for the Passive–Plus class. CO₂ emissions remained below 20 kg/m² annually. ArCADia-TERMOCAD results differed by 18-50%. While PHPP provides a detailed thermal bridge analysis, it does not comply with national reporting standards, and the use of certified solutions significantly increases the calculated energy demand. The EP indicator for non-renewable primary energy demand, due to the exclusion of household electricity consumption (e.g., for appliances and electronics), is lower under method M1 by 22% for scenario 1 (with hybrid ventilation) and up to 150% for scenario 2 (with mechanical ventilation). Additionally, the EP indicator in PHPP is calculated independently of photovoltaics, meaning the presence of PV installations does not directly reduce the EP value.

Rocznik Ochrona ŚrodowiskaVol. 27
Kielce University of Technology (PL)
Openalex Percentile: Top 67%
Advanced Decision-Making Techniques
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Assessment of the Residential Building Passivity According to the Criteria of the Passive House Institute and the PHPP Algorithm — Sylwia Wciślik · Rocznik Ochrona Środowiska (2025) | TGRS Research Map | TGRS