Waseda University · Engineering
Professor Manuel Bailera's research lab focuses on sustainable energy conversion and carbon management, with a strong emphasis on integrating renewable energy systems with industrial processes—particularly in the iron and steel sector. The lab specializes in Power-to-X technologies, especially Power-to-Gas and Power-to-Syngas, aiming to decarbonize high-emission industries through electrolysis-based synthetic fuel production and carbon recycling. Key research directions include the techno-economic and thermodynamic optimization of integrated systems such as oxy-fuel ironmaking combined with Power-to-Gas, and the development of advanced process models (e.g., extended Rist diagrams and 1D reactor models) to assess scalability and efficiency. The lab also investigates thermochemical energy storage using Ca-looping for solar energy applications, targeting long-term, high-temperature energy storage solutions.
Figures are computed from collected data and may differ slightly.
In this paper we present the first systematic review of Power to X processes applied to the iron and steel industry. These processes convert renewable electricity into valuable chemicals through an electrolysis stage that produces the final product or a necessary intermediate. We have classified them in five categories (Power to Iron, Power to Hydrogen, Power to Syngas, Power to Methane and Power to Methanol) to compare the results of the different studies published so far, gathering specific en
Ca-Looping represents one of the most promising technologies for thermochemical energy storage. This process based on the carbonation-calcination cycle of CaO offers a high potential to be coupled with solar power plants for its long-term storage capacity and high temperatures. Previous studies analyzed different configurations of CaL integrated into power cycles aiming to improve efficiency. However, most of these assessments based on lumped models did not account for scale effect in the most c
<b>Background:</b> The Rist diagram is useful for predicting changes in blast furnaces when the operating conditions are modified. In this paper, we revisit this methodology to provide a general model with additions and corrections. The reason for this is to study a new concept proposal that combines oxygen blast furnaces with Power to Gas technology. The latter produces synthetic methane by using renewable electricity and CO <sub>2</sub> to partly replace the fossil input in the blast furnace.
This paper assesses the injection of different syngas in air-blown blast furnaces, oxygen blast furnaces, and advanced oxygen blast furnaces. The selected types of syngas come from biomass gasification, plastic gasification, CO2 electrolysis, and reverse water–gas shift reaction. An Aspen Plus model, based on the new extended operating line methodology, was used for the simulation. This methodology is a generalization of the conventional Rist diagram, to extend its application to cases in which
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