Historic Building Thermal Diagnostics Algorithm Presented for the Example of a Townhouse in Lviv
Abstract
:1. Introduction
- An analysis of the structural elements in terms of increased heat loss via a thermal bridge;
- Calculation of the water content profiles for selected partition surfaces.
2. Original Historical Building Thermal Diagnostics Algorithm
3. Materials and Methods
3.1. Overview of Lviv’s Architecture and the Aim of the Study
3.2. Aim of the Study
Overview of Material and Structural System Solutions
- Made from small ceramic elements—solid bricks, with a thickness of between 75 and 90 cm (2.5 or 3 bricks—based on the supplied documentation) and the authors’ own studies.
- Made from small ceramic elements—solid bricks. The walls taper in terms of their height. At the ground floor level, the wall thickness is around 70–90 cm (based on the supplied documentation and measurements), while on the second and third floors it is around 45–60 cm (1.5 to 2 bricks). The internal walls have thicknesses of 33 and 45 cm. The work presents selected analysis results for the wall for a thickness of 70 cm (this is the most common thickness in the building);
- The building predominantly featured wooden box windows fitted to align with the surfaces of external walls. In a small portion of the building, some windows were replaced with new, PVC sets;
- The internal finish for the walls is a lime–cement plaster;
- The external finish is cement–lime plaster with a double layer of paint;
- The entire building’s decks were built from wooden beams, with load-bearing beams parallel to the axis of the street and supported by external walls.
3.3. Initial Extant State Assessment
- Identifying the material composition of partitions via wall stratigraphy analysis;
- Measuring the thickness of the walls’ extant layers;
- Material moisture measurements using non-invasive methods;
- Wall capillary absorptivity measurements and an assessment of the condition of external layers (plasters) in terms of proofing against driving rain;
- Determining wall layer material types and ascribing proper physical characteristics to them using available data. For historical walls, it is recommended to test the individual physical properties of the ceramic material;
- Performing a survey of distinctive places within the building using thermovision diagnostics (thermal bridges and anomalies);
- Thermal insulation material and technology selection, accounting for resistance to biological corrosion. A pH > 10 is recommended;
- Formulating room occupancy programs, defining indoor air temperature and humidity regulation capacity;
- Calculating temperatures at the point of contact between layers, involving extant wall–thermal insulation material and accounting for two-dimensional heat flow;
- The application of advanced calculation methods to determine the temperature distribution fields in a partition’s cross-section in distinct places within the building, and wherever possible the performance of moisture flow simulations for the partition, preferably in distinct places, over a period of at least three years.
3.3.1. Wall Mass Moisture Measurement
Climate Conditions during Measurement
Testing Methodology
3.3.2. Solid Brick Wall Absorptivity Measurement
3.3.3. Thermovision Diagnostics
Nominal data: | |
Temperature measurement range | from −20 °C to 1200 °C |
Camera angle | 25° × 19°/0.4 m |
Resolution | 320 × 240 |
Thermal resolving power (at 30 °C) | 0.05 K |
Spatial resolving power | 1.36 mrad |
Spectral sensitivity interval | 7.5–13 m |
Climate conditions during measurement | |
Air temperature readings during the test | 16.5–17 °C |
4. Results and Discussion
4.1. Data Assumed for the Analysis of Architectural Elements
- Thermal bridge assessment, i.e., analysis of the elements of an external wall and deck, along with a balcony secured on metal cantilevers anchored within said wall (thermal bridges detected on both the frontal and courtyard facades);
- Temperature distribution field changes for the extant state;
- Analysis of changes to the structure of the envelope after the application of thermal insulation.
- Thermal imaging measurements of the building’s facade temperature distribution field were taken under the following conditions:
- ○
- External temperature: 0–1 °C;
- ○
- Indoor temperature: 16–18 °C.
4.2. Numerical Thermal Analyses of the Uninsulated and Insulated Walls, Assumptions, and Materials
- Alternative I—balcony resting on steel cantilevers, uninsulated external wall (Figures 15–18);
- Alternative II—balcony resting on steel cantilevers, wall insulated from the inside (Figures 19–22);
- Alternative III—balcony resting on steel cantilevers, wall insulated from the outside (Figures 23–26).
4.3. Numerical Analysis Results
4.3.1. Alternative I—Extant State
4.3.2. Alternative II—Wall with Thermal Insulation Applied from the Outside
4.3.3. Alternative III—Wall with Thermal Insulation Applied from the Inside
- For the starting model, the point thermal transmittance was χ = 0.0667 (W/K);
- For the alternative model featuring internal insulation, heat flow through the partition decreased, but the point thermal transmittance value increased to χ = 0.1575 (W/K);
- For the alternative model featuring external insulation, the value of the heat flow through the partition dropped significantly when compared with alternative II, while the impact of the point thermal transmittance was negligible, as it had a negative value of χ = −0.3731 (W/K).
- The presupposition regarding the anchoring of the cantilever within the external wall was proven to be correct. Further thermal and moisture calculations utilised the model assumed for alternative I;
- The differences between measurement readings and values obtained from calculations had a number of causes:
- The assumption of material characteristics was based on data presented in the literature, which may deviate from actual characteristics;
- Measurement errors can occur in thermograms, including environmental interference;
- Errors can occur in thermogram analysis, i.e., an imprecisely assumed surface emission coefficient;
- The errors were not significant (values of around 0.1 K) and had no practical impact on the temperature distribution field results obtained using the numerical method;
- It can be assumed that the remaining thermal calculations performed using numerical methods for walls with thermal insulation sufficiently described the expected reaction of the external partition to internal or external insulation;
- The geometric model developed for the purposes of performing thermal calculations can be used for further simulations associated with analysing water content increases in the selected external wall fragment.
4.4. Post-Retrofitting Envelope Behaviour Simulation
- Heat transport (Equation (3)):
- Mass transport (Equation (4)):
- Irrespective of the placement of the insulation layer, there was no water content gain in the extant brick wall and plasters (Figure 29), provided that the indoor air humidity was maintained at a level of 50%;
- Regardless of the placement of insulation, a slight water content gain in the deck’s wooden beams can occur (Figure 30). The authors consider performing in situ moisture measurements of wooden deck structural elements prior to the commencement of retrofitting works to be mandatory. Provided there is a technical possibility to do so, it is recommended to insert a strip of bitumen paper along the entire beam anchoring point. Incorporating the guidelines (revisions) into the design shall ensure the proper functioning of the thermal insulation, without worsening the technical condition of the extant partition.
5. Conclusions
- (1)
- They should improve the thermal insulation of walls while accounting for the developer’s financial means, with either a partial or complete elimination of linear and point thermal bridges. They should meet the country’s applicable regulations;
- (2)
- They should either maintain or improve the moisture state of the partition so as to avoid water content increases in brick wall structural elements and the adjoining structural elements of wooden decks, in addition to wall finishes (internal and external plasters), during the future occupancy of indoor spaces. It is recommended to perform a simulation for a reference period of 1–3 years. Simulation results should form the basis for necessary protective measures intended for elements in danger of accumulating excessive moisture;
- (3)
- Surface condensation on walls with internal insulation should be avoided.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Work Temperature | −20 °C to + 50 °C | ||
Measurement Range | Wood: <50% | ||
Materials: <20% | |||
Testo 635-2 Device | Resolution | 0.1% | |
Measurement Speed | 0.5 s | ||
Protection Class | IP30 |
Measurement | 27–28 November 2019 |
---|---|
Outdoor temperature, te | 2.00 °C ÷ −1.00 °C |
Indoor temperature, ti | 17 °C ÷ 19.0 °C |
Indoor relative air humidity | 55–65% |
Item No. | Temperature Underneath the Steel Beam/Thermogram (°C) | Temperature Underneath the Steel Beam/Calculations (°C) | Δt |
---|---|---|---|
1 | 2.2; 2.4/Thermogram No. 1 (Figure 10) | 2.27 | 0.03 |
2 | 2.0; 2.1/Thermogram No. 2 | 2.27 | −0.22 |
3 | 2.2; 2.2; 2.4/Thermogram No. 3 | 2.27 | −0.033 |
4 | 2.2; 2.1; 2.0/Thermogram No. 4 | 2.27 | −0.12 |
5 | Average: 2.18 | 2.27 | −0.09 |
Material | Porosity ε (m3/m3) | Thermal Conductivity λ (W/mK) | Diffusion Resistance Coefficient µ (-) | Volume Density (kg/m3) |
---|---|---|---|---|
Historical solid brick | 0.31 | 0.60 | 15.0 | 1800 |
Cement-lime plaster | 0.24 | 0.80 | 19.0 | 1900 |
Internal mortar/adhesive layer | 0.49 | 0.90 | 8 | 833 |
Light aerated concrete | 0.96 | 0.040 | 4 | 115 |
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Orlik-Kożdoń, B.; Radziszewska-Zielina, E.; Fedorczak-Cisak, M.; Steidl, T.; Białkiewicz, A.; Żychowska, M.; Muzychak, A. Historic Building Thermal Diagnostics Algorithm Presented for the Example of a Townhouse in Lviv. Energies 2020, 13, 5374. https://doi.org/10.3390/en13205374
Orlik-Kożdoń B, Radziszewska-Zielina E, Fedorczak-Cisak M, Steidl T, Białkiewicz A, Żychowska M, Muzychak A. Historic Building Thermal Diagnostics Algorithm Presented for the Example of a Townhouse in Lviv. Energies. 2020; 13(20):5374. https://doi.org/10.3390/en13205374
Chicago/Turabian StyleOrlik-Kożdoń, Bożena, Elżbieta Radziszewska-Zielina, Małgorzata Fedorczak-Cisak, Tomasz Steidl, Andrzej Białkiewicz, Maria Żychowska, and Andriy Muzychak. 2020. "Historic Building Thermal Diagnostics Algorithm Presented for the Example of a Townhouse in Lviv" Energies 13, no. 20: 5374. https://doi.org/10.3390/en13205374
APA StyleOrlik-Kożdoń, B., Radziszewska-Zielina, E., Fedorczak-Cisak, M., Steidl, T., Białkiewicz, A., Żychowska, M., & Muzychak, A. (2020). Historic Building Thermal Diagnostics Algorithm Presented for the Example of a Townhouse in Lviv. Energies, 13(20), 5374. https://doi.org/10.3390/en13205374