Data Quality in Building Productivity Assessment - the Case of Acute Care Environments

Jack Morewood, Matthew Bacon, Pieter de Wilde*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceedings published in a bookpeer-review

Abstract

Acute care environments are typically cost- and energy-intensive facilities. This paper presents a methodology to map operational processes to predict occupancy. Veracity of occupancy data is assured by an enhanced brief, quality measurement and quality improvement. A major development over existing and more general frameworks applied in this domain, this new approach challenges the basis of engineering. Feedback loops and roles set based on expected competencies instates strong governance. Application to a knowledge intensive case study for a hospital in Gothenburg, Sweden, sees data quality improvements facilitate improved occupancy modelling. Revising energy consumption from 94 to 81 kWhm-2a-1, a typical “performance gap” is avoided. Analysis modelled and optimised the space use, informed by knowledge of operational policy, increasing productivity, reducing energy consumption and need for capital-intensive plant.

Original languageEnglish
Title of host publicationEG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings
EditorsJimmy Abualdenien, Andre Borrmann, Lucian-Constantin Ungureanu, Timo Hartmann
PublisherTechnische Universitat Berlin
Pages135-145
Number of pages11
ISBN (Electronic)9783798332126
Publication statusPublished - 2021
Event28th International Workshop on Intelligent Computing in Engineering of the European Group for Intelligent Computing in Engineering, EG-ICE 2021 - Virtual, Online
Duration: 30 Jun 20212 Jul 2021

Publication series

NameEG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings

Conference

Conference28th International Workshop on Intelligent Computing in Engineering of the European Group for Intelligent Computing in Engineering, EG-ICE 2021
CityVirtual, Online
Period30/06/212/07/21

ASJC Scopus subject areas

  • Computer Science Applications
  • General Engineering

Fingerprint

Dive into the research topics of 'Data Quality in Building Productivity Assessment - the Case of Acute Care Environments'. Together they form a unique fingerprint.

Cite this