CYPHER-COST-ACTION

Short title: CYPHER-COST-ACTION

Long title: CYPHER-COST-ACTION – Cyber-Physical systems and digital twins for the decarbonization of energy-intensive industries (CYPHER)

Link: www.cost.eu/CA22151, opens an external URL in a new window

Assignment to our (IMW) research priorities:

Data-driven modelling
Sustainable combustion technologies
Renewable synthetic fuels
Soft-sensing technology
Turbulent reacting flows

Sponsor: COST, FFG

Duration: 20.10.2023 – 19.10.2027

Abstract:

The global energy crisis, triggered by geopolitical events, emphasizes the need for the EU to enhance energy production while achieving net-zero emissions by 2050. Energy Intensive Industries (EIIs), constituting 54% of the OECD's industrial energy consumption, face escalating costs due to the surge in natural gas prices. To address this, the CYPHER initiative advocates for Renewable Synthetic Fuels (RSFs), particularly renewable hydrogen, generated from surplus wind and solar power to decarbonize EIIs. The project aims to bridge gaps in understanding RSFs' impact on EII systems by fostering collaborations between European researchers and industrial stakeholders. Utilizing cyber-physical systems and digital twins, CYPHER seeks to advance accurate simulation of combustion technologies, promoting a safe and sustainable adoption of RSFs for EII decarbonization.

Expected Results:

Conceptualized comprehensive guidelines for RSF implementation; Formulated optimal sensor placement strategies for enhanced data collection; report on unsupervised algorithms improving RSF modeling; Explored algorithms optimizing RSF combustion understanding; Identified low-dimensional manifolds for efficient RSF reduced-order models; Developed hybrid physics-aware data-driven models and applied multi-fidelity data fusion for RSF systems.

Leading Partners:

Prof. Alessandro Parente (alessandro.parente@ulb.be) Université libre de Bruxelles, Belgium
Dr. Giancarlo Sorrentino (giancarlo.sorrentino@stems.cnr.it) Istituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili, Italy

In the Management Committee:

Univ.-Prof. Dr.-Ing. habil. Fazel Ansari

Contact details:

Telephone: +43 1 58801 33094
Email: fazel.ansari@tuwien.ac.at

Name	Purpose	Lifetime	Type	Provider
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SimpleSAMLAuthToken	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
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test_cookie	Is set as a test to check whether the browser allows cookies to be set. Does not contain any identification features.	15 minutes	HTTP	Google
VISITOR_INFO1_LIVE	Is needed by YouTube to store user settings and to calculate user bandwidth.	6 months	HTTP	Youtube
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dpr	Is used for analysis purposes. Technical parameters are logged (e.g. aspect ratio and dimensions of the screen) so that Facebook apps can be displayed correctly.	1 week	HTTP	Meta (Facebook)
sb	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
dbln	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
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)
pl	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
lu	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta (Facebook)
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
li_oatml	Is needed to identify LinkedIn members outside of LinkedIn for advertising and analytics purposes.	1 month	HTTP	LinkedIn
BizographicsOptOut	Is needed to save privacy settings.	10 years	HTTP	LinkedIn
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
X-LI-IDC	Is needed to provide cross-page functionality (marketing/tracking).	session	HTTP	LinkedIn
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