2022
DOI: 10.1016/j.egyr.2022.05.120
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Improvements of simplified hourly models for the energy assessment of buildings: The application of EN ISO 52016 in Italy

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Cited by 9 publications
(2 citation statements)
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“…The RSM methodology in this study utilizes the detailed dynamic tool EnergyPlus for predicting energy consumption. EnergyPlus provides a more accurate energy prediction compared to the recent improved hourly standard method for assessing building energy needs for heating and cooling EN ISO 52016-1 [43] as the latter overestimates the thermal energy for heating while underestimating the thermal need for cooling for residential buildings [44]. Thus, the end product of RSM is a simple and cost-effective model that achieves a quick and relatively accurate response within the established ranges without the need to use complex simulation tools.…”
Section: Discussionmentioning
confidence: 99%
“…The RSM methodology in this study utilizes the detailed dynamic tool EnergyPlus for predicting energy consumption. EnergyPlus provides a more accurate energy prediction compared to the recent improved hourly standard method for assessing building energy needs for heating and cooling EN ISO 52016-1 [43] as the latter overestimates the thermal energy for heating while underestimating the thermal need for cooling for residential buildings [44]. Thus, the end product of RSM is a simple and cost-effective model that achieves a quick and relatively accurate response within the established ranges without the need to use complex simulation tools.…”
Section: Discussionmentioning
confidence: 99%
“…However, simulations and optimizations are time consuming and require extensive technical effort, making simplified approaches a potential alternative for the assessment of the building energy performance. Despite this advantage, accuracy of simplified approaches is often the major concern not only for building designers and energy managers but also for many researchers, who investigated the effectiveness of simplified methodologies defined by national Standards [4,5] or developed new ones [6]. In this framework, the authors proposed a new algorithm called "shoeboxing", capable of simplifying any building into a representative shoebox while taking into account the buildings' adjacencies, self-shadings and urban context.…”
Section: Introductionmentioning
confidence: 99%