Integrating sensor and building data flows: a case study of the IEQ of an office building in the Netherlands

Sjors van Gool, Dujuan Yang, Pieter Pauwels

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The need for integrating building data with other data sources is growing, most notably sensor data. This potential synergy between building and sensor data flows has been researched, but current research focused almost exclusively on the automation of transmitting sensor data to building models (Tang et al., 2019), often not focusing on operational and analysis possibilities with the integrated data. This research aims to ef-fectively integrate sensor and building data flows for analysis purposes. Using the developed integration, mul-tiple data sources can be effectively utilized for analysis. Its functionality is proven in this paper on hourly Indoor Environmental Quality (IEQ) analyses of a University Medical Centre (UMC) office building. These results prove that, using building information, measured sensor values can be placed into context, and actionable insights can be derived instead of manually interpreting the sensor results.
Original languageEnglish
Title of host publicationProceedings of the 13th European Conference on Product and Process Modeling 2020-2021
PublisherCRC Press
Number of pages6
Publication statusAccepted/In press - 1 Apr 2021
Event13th European Conference on Product and Process Modeling 2020-2021 - Moscow, Russian Federation
Duration: 5 May 20217 May 2021
Conference number: 13
http://ecppm.ispras.ru/

Conference

Conference13th European Conference on Product and Process Modeling 2020-2021
Abbreviated titleECPPM
CountryRussian Federation
CityMoscow
Period5/05/217/05/21
Internet address

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