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Why and how to assess the quality of building performance data

  • Karsten Menzel
  • , Andriy Hryshchenko
  • , Kai Mo

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Over the past decade buildings have become much more complex technical artefacts due to the fact that numerous energy co-generation and storage capabilities can be integrated into buildings. The integrated, complementing operation of generation, storage, and building services systems is not a trivial task. Numerous data streams need to be analysed to ensure that the operation of the aforementioned systems contributes to overall energy savings and CO 2-reductions without undermining the tenants' comfort and wellbeing in those buildings. One could assume that through the emergence of wireless monitoring systems an improved knowledge base can be quickly and efficiently build-up to support the decisions which must be made by building automation systems or systems' operators. However, the pure availability of additional data compiled from sensors, meters, access control systems and local weather stations can worsen the situation in case the compiled data is incomplete or of insufficient quality. Therefore, this paper discusses the question of why and how to assess the quality of Building Performance Data.

Original languageEnglish
Title of host publicationeWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 10th European Conference on Product and Process Modelling, ECPPM 2014
PublisherCRC Press/Balkema
Pages767-774
Number of pages8
ISBN (Print)9781138027107
DOIs
Publication statusPublished - 2015
Event10th European Conference on Product and Process Modelling, ECPPM 2014 - Vienna, Austria
Duration: 17 Sep 201419 Sep 2014

Publication series

NameeWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 10th European Conference on Product and Process Modelling, ECPPM 2014

Conference

Conference10th European Conference on Product and Process Modelling, ECPPM 2014
Country/TerritoryAustria
CityVienna
Period17/09/1419/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

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