A data-driven approach for multi-scale building archetypes development

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Title: A data-driven approach for multi-scale building archetypes development
Authors: Ali, UsmanShamsi, Mohammad HarisHoare, CathalMangina, EleniO'Donnell, James
Permanent link: http://hdl.handle.net/10197/10998
Date: 1-Nov-2019
Online since: 2019-08-20T09:42:30Z
Abstract: Globally the building sector accounts for a significant portion of the overall energy demand and greenhouse gas emissions of any country. The most common approach for the collection of modeling and benchmarking data that can be used for predictions of energy performance at a national or urban scale is through classification of the building stock into representative archetypes. Developing such building archetypes is a complex task due to the difficulties associated with gathering detailed geometric and non-geometric data at an urban scale. Although existing databases and projects provide a valuable overview of a building stock, the information about buildings’ physical descriptions are not regularly updated. Moreover, these databases cover only the national top-level archetypes and lack crucial information related to city or district scale building stocks. The use of national scale archetypes requires many assumptions that may not hold true for energy modeling at urban or district scale. This paper proposes a multi-scale (national, city, county and district) archetype development methodology using different data-driven approaches. The methodology consists of following five steps: 1) data collection, 2) segmentation, 3) characterization, 4) quantification, and 5) modeling results. We developed a test case based on the available building stock data of Ireland. The test case used previously developed archetype geometries coupled with the parameters determined by the characterization process to calculate annual energy use (kWh) of buildings at a multiple-scales. The resulting archetypes at national, city, county and district scale are analyzed and compared against one another. The results indicate that significant differences occur in terms of energy modeling results when national scale archetypes are used to simulate the energy performance of buildings at the local scale. These multi-scale building archetypes will aid local authorities and city planners when analyzing energy efficiency and consequently, help to improve sustainable energy policy decisions.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier BV
Journal: Energy and Buildings
Volume: 202
Start page: 109364
Copyright (published version): 2019 Elsevier
Keywords: Building archetypesBuilding energy efficiencyUrban building energy modelingBuilding energy performance simulation
DOI: 10.1016/j.enbuild.2019.109364
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection
Computer Science Research Collection
Energy Institute Research Collection

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