2016
DOI: 10.1016/j.enbuild.2016.04.082
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Modeling the long-term effect of climate change on building heat demand: Case study on a district level

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Cited by 58 publications
(30 citation statements)
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“…Analysing the literature on that topic, it was observed that generally the energy performance of buildings, aimed at the future projection of energy consumption was carried out using dynamic simulation. In many papers [6,9,16] the simulation was performed using leading software (e.g., TRNSYS, EnergyPlus); in other projects the simulation was performed by calculation procedures developed in-house, [7,[42][43][44] validating those outcomes by a direct comparison with the aforementioned tools.…”
Section: Methodsmentioning
confidence: 99%
“…Analysing the literature on that topic, it was observed that generally the energy performance of buildings, aimed at the future projection of energy consumption was carried out using dynamic simulation. In many papers [6,9,16] the simulation was performed using leading software (e.g., TRNSYS, EnergyPlus); in other projects the simulation was performed by calculation procedures developed in-house, [7,[42][43][44] validating those outcomes by a direct comparison with the aforementioned tools.…”
Section: Methodsmentioning
confidence: 99%
“…Vulnerability of the cogeneration power plants to the change of the load or climate conditions is known [9,10]. However, there is lack of regional studies of this effect considering the projected climate change.…”
Section: Space Heating In Transition: Technological Perspectivementioning
confidence: 99%
“…This approach consists of using computer-based tools to model and analyze building energy consumption, under different climate boundary conditions [29][30]. A recent study employed EnergyPlus to estimate building energy consumption, on a district level, under future climate sc enarios; however, this analysis was focused on one building model only, a small office [31]. A multi-city study used EnergyPlus to understand the impacts of climate change in building energy use in in Miami, Baltimore and Boston [32].…”
Section: Literature Review and Previous Workmentioning
confidence: 99%