examples:passivehosue_district:passive_house_district_heidelberg-bahnstadt_monitor
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examples:passivehosue_district:passive_house_district_heidelberg-bahnstadt_monitor [2025/04/01 14:09] – yaling.hsiao@passiv.de | examples:passivehosue_district:passive_house_district_heidelberg-bahnstadt_monitor [2025/04/02 15:47] (current) – [Comparison of heating energy consumption with PHPP planning data] yaling.hsiao@passiv.de | ||
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====== Monitoring energy consumption in the new district Bahnstadt in Heidelberg ====== | ====== Monitoring energy consumption in the new district Bahnstadt in Heidelberg ====== | ||
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- | //Author: Søren Peper, | ||
===== The Passive House Standard in Bahnstadt, Heidelberg ===== | ===== The Passive House Standard in Bahnstadt, Heidelberg ===== | ||
The new Bahnstadt district in Heidelberg (Figure 1) is one of the largest sustainable urban development projects in Germany and the largest Passive House settlement worldwide at present. The Bahnstadt is still under development; | The new Bahnstadt district in Heidelberg (Figure 1) is one of the largest sustainable urban development projects in Germany and the largest Passive House settlement worldwide at present. The Bahnstadt is still under development; | ||
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- | ===== Monitoring to ensure success ===== | ||
- | Consumption values are currently being monitored | + | ===== Monitoring |
- | // | + | Consumption values are currently being monitored |
- | The consumption data for seven residential complexes (698 residential units, 61,981 m²) and student dormitories (564 apartments, 15,457 m²) are currently being analysed. The treated floor area is defined as the useful area in accordance with the PHPP ; assessment of the findings must take into consideration the fact that the current energy-saving building standard in Germany EnEV defines the floor space AN for these buildings as being 28 % greater, so the specific consumption values are accordingly lower. The buildings under investigation have all had tenants for an entire year except for three complexes, which only became occupied in the course of the first quarter of 2014. It is unclear whether this partial occupancy led to lower or higher consumption; | + | The consumption data for seven residential complexes (698 residential units, 61,981 m²) and student dormitories (564 apartments, 15,457 m²) are currently being analysed. The treated floor area is defined as the useful area in accordance with the PHPP living area; assessment of the findings must take into consideration the fact that the current energy-saving building standard in Germany EnEV defines the floor space AN for these buildings as being 28 % greater, so the specific consumption values are accordingly lower. The buildings under investigation have all had tenants for an entire year except for three complexes, which only became occupied in the course of the first quarter of 2014. It is unclear whether this partial occupancy led to lower or higher consumption; |
- | Based on the monthly consumption values, the expenses for hot water, distribution and storage in the core summer months can be determined irrespective of building heating. Here, it is assumed that no unplanned and undesirable space heating was used in the summer. To adjust for the effectof | + | Based on the monthly consumption values, the expenses for hot water, distribution and storage in the core summer months can be determined irrespective of building heating. Here, it is assumed that no unplanned and undesirable space heating was used in the summer. To adjust for the effect of absence during the vacation period, the month with the lowest summer consumption is left out of the equation. Because the complexes contain a large number of residential units, it can be assumed that only a small number of tenants were on vacation at the same time. The average consumption |
This type of calculation allows a value to be determined for space heating energy consumption from the small amount of measurement data available. However, this initial rough estimate is too high for various reasons: lower hot water consumption in the summer (overestimation: | This type of calculation allows a value to be determined for space heating energy consumption from the small amount of measurement data available. However, this initial rough estimate is too high for various reasons: lower hot water consumption in the summer (overestimation: | ||
In total, these effects overestimate space heating consumption in the initial rough estimate (“base method”) by 1.4 to 2.5 kWh/(m²a), **not including** any “unplanned” space heating in May. The maximum value of 2.5 kWh/(m²a) and the project-specific heating consumption for May increase the overestimation to **2.9 to 3.7 kWh/ | In total, these effects overestimate space heating consumption in the initial rough estimate (“base method”) by 1.4 to 2.5 kWh/(m²a), **not including** any “unplanned” space heating in May. The maximum value of 2.5 kWh/(m²a) and the project-specific heating consumption for May increase the overestimation to **2.9 to 3.7 kWh/ | ||
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==== Assessment of the measurements ==== | ==== Assessment of the measurements ==== | ||
In 2014, the specific total consumption values for district heat in the residential complexes ranged from **46 to 68 kWh/ | In 2014, the specific total consumption values for district heat in the residential complexes ranged from **46 to 68 kWh/ | ||
- | An assessment of consumption values for heating energy in particular must include the consideration of the weather during the period under review and of the room temperature, | + | |
+ | An assessment of consumption values for heating energy in particular must include the consideration of the weather during the period under review and of the room temperature, | ||
Figure 2 shows consumption of heating energy in the residential buildings by complex along with the average area-weighted values. Different boundary weather conditions in the next year under review are expected to produce slightly different results; furthermore, | Figure 2 shows consumption of heating energy in the residential buildings by complex along with the average area-weighted values. Different boundary weather conditions in the next year under review are expected to produce slightly different results; furthermore, | ||
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==== Comparison of heating energy consumption with PHPP planning data ==== | ==== Comparison of heating energy consumption with PHPP planning data ==== | ||
- | PHPP is the planning tool for all buildings in Bahnstadt. The City of Heidelberg also uses it to conduct quality assurance for planning. None of the buildings investigated here, however, received certification by the Passive House Institute or an accredited certification body. The correct and complete input of data in PHPP, including changes during planning and construction in particular, is decisive for a realistic calculation. If the data are accurate, PHPP has proven to map heating energy demand realistically in accordance with the boundary conditions used, such as climate data, occupancy, internal heat sources, interior temperature, | + | PHPP is the planning tool for all buildings in Bahnstadt. The City of Heidelberg also uses it to conduct quality assurance for planning. None of the buildings investigated here, however, received certification by the Passive House Institute or an accredited certification body. The correct and complete input of data in PHPP, including changes during planning and construction in particular, is decisive for a realistic calculation. If the data are accurate, PHPP has proven to map heating energy demand realistically in accordance with the boundary conditions used, such as climate data, occupancy, internal heat sources, interior temperature, |
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+ | Local weather data for the year being investigated were added to the PHPP calculations. For a lack of measurements for indoor temperatures, | ||
- | Local weather data for the year being investigated were added to the PHPP calculations. For a lack of measurements for indoor temperatures, | ||
Figure 3 shows consumption values for heating energy in the complexes along with the PHPP results (for 20.0 and 21.5 °C). | Figure 3 shows consumption values for heating energy in the complexes along with the PHPP results (for 20.0 and 21.5 °C). | ||
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The consumption data are best compared under the boundary conditions described (such as the usual indoor air temperature of 21.5 °C and actual weather data). Five of the seven complexes show very good overlapping, | The consumption data are best compared under the boundary conditions described (such as the usual indoor air temperature of 21.5 °C and actual weather data). Five of the seven complexes show very good overlapping, | ||
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===== Conclusion ===== | ===== Conclusion ===== | ||
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On average, the buildings investigated here (more than 75,000 m² of useful area) consume 55 kWh/(m²a), about a third the level of district heat for comparable existing buildings for space heat, hot water and losses from distribution and storage. The result of this minimal monitoring is close to the findings previously reached in detailed studies of Passive House buildings with district heat connections. On average, 15 kWh/(m²a) (± 4 kWh/(m²a)) of district heat is consumed – an excellent result for the first year of consumption. Higher levels were measured in two of the complexes where tenants were still moving in after the year started, probably stemming from move-in activities. | On average, the buildings investigated here (more than 75,000 m² of useful area) consume 55 kWh/(m²a), about a third the level of district heat for comparable existing buildings for space heat, hot water and losses from distribution and storage. The result of this minimal monitoring is close to the findings previously reached in detailed studies of Passive House buildings with district heat connections. On average, 15 kWh/(m²a) (± 4 kWh/(m²a)) of district heat is consumed – an excellent result for the first year of consumption. Higher levels were measured in two of the complexes where tenants were still moving in after the year started, probably stemming from move-in activities. | ||
- | A comparison with PHPP planning values (recalculated with current weather data) reveals excellent correlation, | + | |
+ | A comparison with PHPP planning values (recalculated with current weather data) reveals excellent correlation, | ||
===== References ===== | ===== References ===== | ||
- | [Peper 2012] Peper, S.: Messung zur Verbrauchskontrolle – Minimalmonitoring. In: Arbeitskreis kostengünstige Passivhäuser, | ||
- | [Peper 2015] Peper, S.: Monitoring in der Passivhaus-Siedlung Bahnstadt Heidelberg, interim report 2014. Passive House Institute, Darmstadt, 2015. | + | [Peper 2012] Peper, |
+ | [Research Group Cost-efficient Passive Houses, Volume 45: Proper measuring in low-energy houses]. Passive House Institute, Darmstadt, 2012. Available on Passipedia \\ | ||
+ | [Peper 2015] Peper, | ||
====== See also ====== | ====== See also ====== | ||
Detailed monitoring report: [[https:// | Detailed monitoring report: [[https:// | ||
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examples/passivehosue_district/passive_house_district_heidelberg-bahnstadt_monitor.1743509345.txt.gz · Last modified: by yaling.hsiao@passiv.de