Publications associées à Deep learning-based recommendation system for metal-organic frameworks (MOFs)

Renewable energy integration and waste heat valorization in aluminum remelting for co-producing kerosene and methanol

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos, Réginald Germanier

The aluminium sector relies on natural gas for the conversion of recycled scrap into new feedstock, which results in substantial atmospheric emissions. Hydric resources are also impacted, as they serve as heat sinks for the waste heat generated during the ...

Associazione Italiana Di Ingegneria Chimica2024

Evolution of water content and suction of Opalinus Clay from recovery at the drilling site to handling in the laboratory

Lyesse Laloui, Alessio Ferrari, Angelica Tuttolomondo

Advanced geotechnical engineering applications, such as shale gas extraction, CO2 geological sequestration, and geological radioactive waste storage, often involve various types of shales located at significant depths. Shales exhibit mechanical properties ...

Pergamon-Elsevier Science Ltd2024

Alternative energy supply approach for industrial complexes and district heating networks based on biomass integrated gasification

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos

In this work, a systematic approach combining different energy solutions and the time-varying energy demands is used to identify the operating conditions and arrangements for industrial complexes. A kraft pulp mill integrated to an urban district heating n ...

Universidad de Las Palmas de Gran Canaria2023

Multi-time integration approach for combined pulp and ammonia production and seasonal CO2 management

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos

In this work, the gasification of the black liquor is proposed as an alternative ammonia production route. Due to the seasonal variation of the energy prices, a multi-time integration approach that combines different technologies and energy inputs is used ...

2023

AIDRES: A database for the decarbonisation of the heavy industry in Europe

François Maréchal, Luc Girardin, Daniel Alexander Florez Orrego, Ivan Daniel Kantor, Shivom Sharma, Julia Granacher, Meire Ellen Gorete Ribeiro Domingos, Rafael Amorim Leandro De Castro Amoedo, Yi Zhao

The AIDRES database aims to support the long-term objective of a fully integrated industrial strategy in the EU 27, providing a service to the European Commission and a catalogue for industries to understand the effectiveness, efficiency and cost of potent ...

Universidad de Las Palmas de Gran Canaria2023

Leveraging industrial biorefineries for the energy transition

François Maréchal, Julia Granacher

Biorefineries hold the potential to provide products and energy carriers at reduced environmental impact compared to their fossil-based counterparts. Thus, they can contribute to the decarbonization of sectors in which electrification of demands is challen ...

Elsevier Sci Ltd2023

A multi-model analysis of the EU’s path to net zero

Marc Vielle, Sigit Pria Perdana

The European Union (EU) recently ratcheted its climate ambition to net-zero emissions by 2050, with a milestone of 55% emissions cuts in 2030. This study carries out a model inter-comparison to assess the EU’s path, from “Fit for 55” in 2030 to an intermed ...

2023

Readiness evaluation of SOFC-MGT hybrid systems with carbon capture for distributed combined heat and power

Jan Van Herle, Jürg Alexander Schiffmann, Victoria Xu Hong He, Michele Gaffuri

The aggravation of climate change calls for the timely development and implementation of highly efficient, renewable, zero- or negative-emission energy solutions with high technological readiness and feasibility levels. Solid oxide fuel cells (SOFC) consti ...

Elsevier2023

Deep excavation of the impact from endogenous and exogenous uncertainties on long-term energy planning

François Maréchal, Xiang Li

Endogenous and exogenous uncertainties exert significant influences on energy planning. In this study, we propose a systematic methodology to excavate the uncertainty space, by combining mix-integer linear programming (MILP), Monte Carlo simulation, and ma ...

ELSEVIER2023

Autocatalysis and CO2: Carbon Capture and Utilization (CCU) Meets Natural Processes

Paul Joseph Dyson, Jorge Gustavo Uranga, Martin Hulla, Gabriela Gastelu

Autocatalytic reactions were proposed to play a key role at the beginning of life starting from the first reduction of CO2 to formate, acetate and C-1-C-4 hydrocarbons. In carbon capture and utilization (CCU) processes, the same reactions were demonstrated ...

Wiley-VCH Verlag2023