TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Electricity consumption of medical plug loads in hospital laboratories: Identification, evaluation, prediction and verification
 
Options

Electricity consumption of medical plug loads in hospital laboratories: Identification, evaluation, prediction and verification

Publikationstyp
Journal Article
Date Issued
2015-11-15
Sprache
English
Author(s)
Christiansen, Nils  
Kaltschmitt, Martin  
Dzukowski, Frank  
Isensee, Friedrich  
Institut
Umwelttechnik und Energiewirtschaft V-9  
TORE-URI
http://hdl.handle.net/11420/7090
Journal
Energy and buildings  
Volume
107
Start Page
392
End Page
406
Citation
Energy and Buildings (107): 392-406 (2015-11-15)
Publisher DOI
10.1016/j.enbuild.2015.08.022
Scopus ID
2-s2.0-84941269333
Evaluating the energy demand of heating, ventilation and air conditioning (HVAC) as well as lighting equipment through standardized calculation methods has become a self-evident measure for planning and optimizing non-residential buildings in recent years. For the case of hospitals however, information about the magnitude of electricity consumption caused by the vast amounts of medical equipment is still lacking. Not least due to the strongly growing use of such electrically operated devices in an increasingly complex environment, electricity has become the major energy cost driver in modern hospitals. Against this background this paper presents a model approach based on over 33,500 h of measurements within a modern University Medical Center of Hamburg/Germany to assess the time-dependent course as well as the weekly sum of the demand for electrical energy due to medical laboratory plug loads. This assessment method allows for approximating the electricity demand of the installed equipment as a supplement to the established prediction methods for the electricity demand of HVAC, lighting, etc. It was found that only a few plug load groups contribute the greater part of the total electrical energy demand. Cumulative load predictions for a full building were possible with an error of less than 6%.
Subjects
Hospital energy consumption
Internal loads
Laboratory equipment
Medical equipment
Plug loads
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback