Power transformer design optimization for carbon footprint

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F19%3A43955662" target="_blank" >RIV/49777513:23210/19:43955662 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23220/19:43955662
Result on the web
<a href="https://ieeexplore.ieee.org/document/8818261" target="_blank" >https://ieeexplore.ieee.org/document/8818261</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PQ.2019.8818261" target="_blank" >10.1109/PQ.2019.8818261</a>

Result language
angličtina
Original language name
Power transformer design optimization for carbon footprint
Original language description
Design of electrical machines with low carbon footprint is an actual topic in the industry. Total cost of ownership is the standardized methodology to consider the lifetime costs of a power transformer already in the pre-concept design stage. There still does not exist a widely accepted method to calculate the carbon footprint of power transformers. In this paper a carbon footprint based optimization is presented for a realistic, sub-station transformer selection problem. A two-winding, metaheuristic transformer optimization method is used to calculate transformer optimal key-design parameters. The optimal losses and main parameters of the transformer are compared with the result of TCO optimization. The results shows that a lesser efficient, smaller machine can be a global optimum, if just the environmental factors and the active part of the transformer are considered.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) : /proceedings/
ISBN
978-1-72812-650-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
Piscataway
Event location
Kärdla, Estonia
Event date
Jun 12, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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