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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Обмен на изследователи2021–2026

OPTIMAL · Smart and CO2 neutral Olefin Production by arTificial Intelligence and MAchine Learning

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2021-08-01 → 2026-12-31
Финансиране от ЕС
772 800 €
Участници
13
Схема
MSCA-RISE

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Производството на етилен се оптимизира чрез изкуствен интелект, за да се намалят въглеродните емисии в нефтехимическата индустрия. Това помага за по-ефективното улавяне и използване на CO2, което повишава конкурентоспособността на Европа.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Smart and CO2 neutral Olefin Production by arTificial Intelligence and MAchine Learning

what is the problem/issued being addressed: The project is mainly focused on adopting a smart and sustainable approach to tackling CO2 emissions from petrochemical industry, specifically ethylene plants. Why is it important for society?: This project will increase Europe's competitiveness by carrying out joint research in big data, artificial intelligence, carbon capture and CO2 utilisation for ethylene plants through individual mobility of researchers (both early career researhers and experienced researcher). What are the overall objectives includes: The main objectives of this RISE project are: (a) to develop and strengthen research partnership between the universities and industries in the EU and China through staff exchanges and networking activities; (b) to support the partners to establish and reinforce long-term research cooperation through a coordinated joint programme of exchanging researchers; (c) to help attract the best researchers from China to Europe and to establish a balanced transfer of knowledge and skills between Europe and China; (d) to enhance the training, mobility and career development of European and Chinese researchers. its technical objectives - WP1 – Modelling of Ethylene manufacturing process WP2 – Process analysis and exergy analysis of Ethylene process WP3 – Smart optimal design, operation and control of Ethylene process WP4 – Experimental study, modelling, control and scale-up study of carbon capture process WP5 – Experimental study, modelling, control and scale-up study of CO2 utilization process WP 6 – Smart optimal design, operation, control and performance assessment of ethylene plants integrated with carbon capture and utilisation processes

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The proposed project is to develop and maintain long term collaborations between Europe and China towards CO2 neutral Olefin production. We will realize this objective by carrying out joint research in big data and artificial intelligence (AI) for ethylene plants integrated with carbon capture and CO2 utilisation. Specifically this requires a universal set of skills such as pilot scale experimental study, process modelling and analysis, optimisation, catalysis and reaction kinetics that will be strengthened by the individual mobility of researchers between Europe and China. There are 12 partners involved in OPTIMAL with 3 industrial partners. These partners are world leading in their respective research areas. OPTIMAL is planned to start from Aug. 2021 and will continue for 65 months. There will be 28 experienced and 35 early stage researchers participating in OPTIMAL with exchange visits of 262 person months. The funding of €772,800 will be requested from European Commission to support these planned secondments. The European beneficiaries are experts at catalysis, CO2 utilisation, intensified carbon capture, reaction mechanism and kinetics & CFD studies, hybrid modelling, molecular simulation and dynamic optimisation, whilst the Chinese partners are experts at exergy analysis, process control and optimisation, solvent-based carbon capture & data-driven model development, deep reinforced learning based model free control, intelligent predictive control, physics-based reduced order model development, soft exergy sensor development and optimisation under uncertainty. Transfer of knowledge will take place through these exchange visits. We will generate at least 25 Journal publications and 25 Conference papers. 2 Special Issues will be established in leading journals such as Applied Energy. 2 Workshops and 2 Special Sessions in major international conferences will also be organised to disseminate project results.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз