Electromobility

In 2007 the research group "Power Systems" of the Institute for Energy Systems and Electrical Facilities of the TU Vienna bought life to the research area of electromobility. Since then researchers from the institute have been engaged with the examination of network integration and battery electric vehicles. The topic of "Systematic bonding of electromobility in the electric power system" against the setting of national and international projects is currently being worked on.

Focus:

Modelling and generation of loading curves
Conceptualisation of charge control
Analysis of effects on the electric network
Planning future charging infrastructures
Energy supply through renewable sources
Consideration of fleets and MIV in E-mobility

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facebook	Is used to Enable ad delivery or retargeting	90 days	HTTP	Meta (Facebook)
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act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta (Facebook)
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datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta (Facebook)
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spin	Is needed for promotional purposes and social campaign reporting.	session	HTTP	Meta (Facebook)
presence	Contains the "chat" status of logged in users.	1 month	HTTP	Meta (Facebook)
cppo	Is needed for statistical purposes.	90 days	HTTP	Meta (Facebook)
locale	Is needed to save the language settings.	session	HTTP	Meta (Facebook)
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bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
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li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
UserMatchHistory	Is needed to provide advertising or retargeting (marketing/tracking).	30 days	HTTP	LinkedIn
linkedin_oauth_	Is needed to provide cross-page functionality.	session	HTTP	LinkedIn
lidc	Is needed to store performed actions on the website (marketing/tracking).	1 day	HTTP	LinkedIn
bscookie	Is needed to store performed actions on the website (marketing/tracking).	2 years	HTTP	LinkedIn
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AnalyticsSyncHistory	Stores the time when the user was synchronized with the "lms_analytics" cookie.	30 days	HTTP	LinkedIn
lms_ads	Is needed to identify LinkedIn members outside of LinkedIn.	30 days	HTTP	LinkedIn
lms_analytics	Is needed to identify LinkedIn members for analytics purposes.	30 days	HTTP	LinkedIn
li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn