 Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)Vahid M. Nik Applied Energy, 2016, vol. 177, issue C, 204-226 Abstract: Higher availability of future climate data sets, generated by regional climate models (RCMs) with fine temporal and spatial resolutions, improves and facilitates the impact assessment of climate change. Due to significant uncertainties in climate modeling, several climate scenarios should be considered in the impact assessment. This increases the number of simulations and size of data sets, complicating the assessment and decision making. This article suggests an easy-to-use method to decrease the number of simulations for the impact assessment of climate change in energy and building studies. The method is based on synthesizing three sets of weather data out of one or more RCMs: one typical and two extremes. The method aims at decreasing the number of weather data sets without losing the quality and details of the original future climate scenarios. The application of the method is assessed for an office building in Geneva and the residential building stock in Stockholm. Keywords: Climate change; Weather data; Energy simulation; Regional climate models; Big data; Building (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:177:y:2016:i:c:p:204-226 Ordering information: This journal article can be ordered from DOI: 10.1016/j.apenergy.2016.05.107 Access Statistics for this article Applied Energy is currently edited by J. Yan More articles in Applied Energy from Elsevier |
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