User Related Input Data for Energy Usage Calculations the Case of Low Energy Schools in Sweden

Simanic, Branko; Johansson, Dennis; Nordquist, Birgitta; Bagge, Hans

doi:10.1007/978-3-030-00662-4_63

Cited by 1 publication

(2 citation statements)

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“…Large distributions of calculated EPs create problems for the energy engineers, who assume generalised values of user-related parameters in their building energy calculations. Large variations in a number of user-related parameters were observed in 15 UK schools by Demanuele et al [17] and in 10 Swedish low-energy schools by Simanic et al [21]. Being aware of how a calculated EP can vary, depending on the choice of user-related parameters, there is a real challenge when predicting the magnitudes of these parameters so that they will match the measured parameters during operation.…”

Section: Discussionmentioning

confidence: 99%

“…National energy requirements are, on the other hand, different in each of the schools, for example, due to allowances made for geographical location (compensated for colder climate), for electrically or non-electrically space heated buildings and for the volumes of fresh air supplied. The schools were analysed in three previous publications and the investigations included: field measurements of energy usage and user-related parameters [15], load profiles of predicted energy and user-related parameters [21] and measured indoor climate and air quality [22]. In these publications, generic building information for all seven schools is presented.…”

Section: Description Of the Studied Schoolsmentioning

confidence: 99%

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Influence of User-Related Parameters on Calculated Energy Use in Low-Energy School Buildings

et al. 2020

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Literature and experience show that there are large discrepancies between the calculated and measured building energy usages, where user-related parameters are significant factors with regard to energy use in low-energy buildings. Furthermore, the difficulties encountered when quantifying these parameters compound these discrepancies. The main aim of this study was to provide feedback that would help the building industry and research communities to predict more accurately the impact of the user-related parameters on energy performance. The results of the study would, subsequently, contribute to minimizing the discrepancies between calculated and measured energy use. This article analyses simulated building energy use based on randomly chosen combinations of measured user-related parameters in three recently built low-energy schools in Sweden. The results show that energy performance can span from 30 to 160 kWh/(m² y) simply by varying the combination of previously measured user-related parameters in building energy simulations. The study shows that the set points for indoor air temperatures during the heating season and the energy required to run a demand-controlled ventilation system have an extensive influence, while tenant electricity use has a slightly lower influence on building energy use. Variations in occupancy rates and energy for hot water usage have the smallest influences on building energy use.

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Section: Discussionmentioning

confidence: 99%

Section: Description Of the Studied Schoolsmentioning

confidence: 99%