Subscribe to RSS
DOI: 10.1055/a-2021-7386
A New Approach to the Improvement of Energy Efficiency in Radiology Practices
Article in several languages: English | deutsch![](https://www.thieme-connect.de/media/roefo/202305/lookinside/thumbnails/roefo-20217386_10-1055-a-2021-7386_en-1.jpg)
Abstract
Purpose We examined ways to improve energy efficiency in radiology by using regenerative and energy-friendly technology in the construction and operation of two radiological facilities.
Method In the years 2009 to 2010 an energy-optimized medical center with different clinical disciplines and a radiology practice was built. We used regenerative energy production (photovoltaic system, 29.92 kWp). A heat exchanger was also used to regain thermal energy to support heating of the building, thereby reducing cooling energy consumption. The practice operates a 1.5 T MRI machine and a computed tomography scanner. Derived from our experiences, an open MRI practice was built nearby in 2019. The building was constructed using an energy-saving technique. A photovoltaic system with a 10 kWh lithium-ion battery was installed. The practice operates a 0.35 T open MRI machine.
Results Energy optimization of the medical center resulted in an annual CO2 reduction of about 54 % from 153 146 to 70 631 kg/year. Energy costs were reduced by 32.5 %. The heat exchanger proved to be highly efficient. For the open MRI practice, energy consumption in 2020 was 38 810 kWh: 14 800 kWh for the heating/cooling of the building, and 24 010 kWh for the imaging systems and IT. Net energy production of the solar array was 30 846 kWh. Net energy consumption for the whole project was 8397 kWh/year. CO2 production of the practice was 1839 kg CO2/year.
Conclusion Regenerative energy, energy recuperation, and use of energy-efficient imaging systems can yield considerable improvement of the CO2 footprint in radiology practices.
Key points:
-
Radiology, in particular MRI, has high energy consumption.
-
A heat exchanger can regain thermal energy from MRI machines to support room heating.
-
Low-field MRI with permanent magnets consumes far less energy.
-
Energy optimization results in less CO2 production and lower operation costs.
Citation Format
-
Klein HM. A New Approach to the Improvement of Energy Efficiency in Radiology Practices. Fortschr Röntgenstr 2023; 195: 416 – 425
Publication History
Received: 05 April 2022
Accepted: 30 December 2022
Article published online:
16 March 2023
© 2023. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 GE Healthcare. MRT Optima 450w – Preinstallation Manual. 2014: 54-56
- 2 Rohde T, Martinez R. Equipment and Energy Usage in a Large Teaching Hospital in Norway. J Healthc Eng 2015; 6 (03) 419-433
- 3 Heye T, Knoerl R, Wehrle T. et al. The Energy Consumption of Radiology: Energy- and Cost-saving Opportunities for CT and MRI Operation. Radiology 2020; 295: 593-605
- 4 Perez JL, Gunderman RB. The Need for an Ecologic Understanding of Radiology Practice. American Journal of Roentgenology 2021; 216: 844-846
- 5 Campbell-Washburn AE, Ramasawmy R, Restivo MC. et al. Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI. Radiology 2019; 293: 384-393
- 6 Tuschinski M. EnEV 2007- EnEV-Online (Accessed July 16, 2022). 2007 https://enev-online.net/enev_2007/04_anforderungen_nichtwohngebaeude.htm
- 7 Umweltbundesamt Österreich. Berechnung von Treibhausgas (THG). 2019 (Accessed July16, 2022) https://secure.umweltbundesamt.at/co2mon/co2mon.html
- 8 GE Healthcare. MRT Optima 450w – Preinstallation Manual. 2014: 54-56
- 9 Siemens Healthineers. Magnetom C! Technical data. Siemens. 2008 44. https://5.imimg.com/data5/SELLER/Doc/2020/11/JN/AA/UY/6944459/siemens-magnetom-c-mri.pdf
- 10 Gemeinsamer Bundesausschuss. Qualitätsbeurteilungs-Richtlinie Kernspintomografie.. Banz AT (2019) 30.01.2020 B3 (Accessed July 16. 2022) https://www.g-ba.de/richtlinien/21/
- 11 GE Healthcare. CT Optima 660 – Preinstallation Manual. 2018: 115ff
- 12 Energieratgeber. Der Stromverbrauch eines PCs. !&1 Energy. 2022 (Accessed July 16, 2022) https://www.energie.web.de/ratgeber/verbrauch/stromverbrauch-pc-computer/#:~:text=So%20hoch%20ist%20der%20Stromverbrauch%20eines%20durchschnittlichen%20PCs&text=Ein%20PC%20mit%20modernem%20Mehrkern,Stromverbrauch%20von%20rund%20200%20kWh
- 13 Witt D, Brüning C. CT, MRT & CO: Wieviel Strom verbrauchen Großgeräte?. kma – Klinik Managment aktuell 2017; 22: 75
- 14 Bujak JW. Production of waste energy and heat in hospital facilities. Energy 2015; 91: 350-362
- 15 Kolokotsa D, Tsoutsos T, Papantoniou S. Energy conservation techniques for hospital buildings. Adv Build Energy Res 2012; 6 (01) 159-172
- 16 Noie-Baghban SH, Majideian GR. Waste heat recovery using heat pipe heat exchanger (HPHE) for surgery rooms in hospitals. Appl Therm Eng 2000; 20 (14) 1271-1282
- 17 COCIR Self-Regulatory Initiative for the Ecodesign of Medical Imaging Equipment. Status Report. COCIR 2018. https://www.cocir.org/fileadmin/6_Initiatives_SRI/SRI_Status_Report/COCIR_SRI_Status_Report_2018_-_June_2019.pdf Accessed July 16, 2022
- 18 Hermann C, Rock A. Magnetic Resonance Equipment (MRI) – study on the potential for environmental improvement by the aspect of energy efficiency. http://large.stanford.edu/courses/2012/ph240 / nam2/docs/herrmann.pdf Accessed July 16, 2022
- 19 Bandenetti WP, Shanbhag SM, Mancini C. et al. A comparison of cine CMR imaging at 0.55 T and 1.5 T. Cardiovasc Magn Reson 2020; 22 (01) 37
- 20 Klein HM. Niederfeld-Magnetresonanztomographie. Fortschr Röntgenstr 2020; 192: 537-548
- 21 Pogarell T, May MS, Nagel AM. et al. Muskuloskelettale Bildgebung in der Niederfeld-MRT. Radiologe 2022; 62 (05) 410-417
- 22 Arndt C, Güttler F, Heinrich A. et al. Deep Learning CT Image Reconstruction in Clinical Practice. Fortschr Röntgenstr 2021; 193: 252-261
- 23 Kaufman L, Arakawa M, Hale J. et al. Accessible MR-Imaging. Magn Reson 1989; 5: 283-297
- 24 Kuhl CK, Träber F, Schild HH. Whole body high-field strength MR imaging in clinical practice. Part 1: Technical considerations and clinical application. Radiology 2008; 246 (03) 675-696
- 25 Rocky Mountain Institute. https://rmi.org/wp-content/uploads/2019/09/green-steel-insight-brief.pdf Accessed September 29, 2022.
- 26 Lvovsky Y, Jarvis P. Superconducting systems for MRI-present solutions and new trends. IEEE Transactions on Applied Superconductivity 2005; 15/2: 1317-1325
- 27 Kiefer K, Farnung B, Müller B. Degradation in PV Power Plants: Theory and Practice. 36th European Photovoltaic Solar Energy Conference and Exhibition. Marseille: 2019
- 28 Broer G. PV-Ertrag online berechnen. https://www.solarserver.de/pv-anlage-online-berechnen
- 29 Emilsson E, Dahllöf L. Lithium-Ion Vehicle Battery Production. Status 2019 on Energy Use, CO2 Emissions, Use of Metals, Products Environmental Footprint, and Recycling. Swedish Energy Agency. 2019 https://www.ivl.se/download/18.14d7b12e16e3c5c36271070/1574923989017/C444.pdf Accessed July 16 2022
- 30 Klein HM. Clinical Low Field Strength Magnetic Resonance Imaging. Springer; 2016: 143ff
- 31 Köll C. Sauber tanken. Lookit, Karlsruher Institut für Technologie. 2021 2. 28-32