Now showing items 1-9 of 9

    • A tailored decomposition approach for optimization under uncertainty of carbon removal technologies in the EU power system 

      Negri, Valentina; Vázquez, Daniel; Grossmann, Ignacio E.; Guillén-Gosálbez, Gonzalo (Computers & Chemical Engineering. 2024;187, August :108691, 2024-05-22)
      The broad portfolio of negative emissions technologies calls for integrated analyses to explore the synergies between them and the power sector, with which they display strong links. These analyses ...
    • Algebraic surrogate-based flexibility analysis of process units with complicating process constraints 

      Forster, Tim; Vázquez, Daniel; Fons, Isabela; Guillén-Gosálbez, Gonzalo (Computers & Chemical Engineering. 2024;184:108630, 2024-03-11)
      Flexibility analyses are widespread in chemical engineering to quantify allowed deviations from nominal conditions. Standard approaches to perform flexibility analysis can be hard to apply if process ...
    • Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression 

      Jog, Sachin; Vázquez, Daniel; Santos, Lucas F.; Caballero, José A.; Guillén-Gosálbez, Gonzalo (Computers & Chemical Engineering. 2024;182:108563, 2024-01-09)
      Modular chemical process simulators are widespread in chemical industries to design and optimize production processes with sufficient accuracy. However, convergence issues and entrapment in local optima ...
    • Level of decoupling between economic growth and environmental pressure on Earth-system processes 

      Vázquez, Daniel; Galán-Martín, Ángel; Tulus, Victor; Guillén-Gosálbez, Gonzalo (Sustainable Production and Consumption 2023, 43, 217-229, 2023-12)
      Ensuring economic growth without challenging the Earth's resiliency is crucial to achieving sustainable development. Capitalizing on the planetary boundaries framework as the limits to growing safely, ...
    • Machine learning uncovers analytical kinetic models of bioprocesses 

      Forster, Tim; Vázquez, Daniel; Guillén-Gosálbez, Gonzalo (Chemical Engineering Science. 2024;300:120606, 2024-08-30)
      Identifying suitable kinetic models for bioprocesses is a complex task, particularly when interpretable models are sought. Classical machine learning algorithms are gaining wide interest to simulate ...
    • Multi-Objective Optimization of a Hybrid Fossil/Renewable Carbon Methanol Cluster 

      Jog, Sachin; Medrano-García, Juan D.; Vázquez, Daniel; Guillén-Gosálbez, Gonzalo (ACS Sustainable Chemistry & Engineering 2025, 13 (4), 1473-1483, 2025-02-03)
      Replacing fossil carbon- with renewable carbon-based technologies is imperative for transitioning to sustainable chemical production. However, most production pathways based on renewable carbon are ...
    • Sustainability and efficiency assessment of routes for long-term energy storage in chemicals 

      D'Angelo, Sebastiano Carlo; Calvo Serrano, Raul; Gata Cuesta, Jorge Jaime; Steiner, Philipp; Bregy, Michael; Guillén-Gosálbez, Gonzalo (Sustainable Production and Consumption 2025, 54, 289-302, 2025-03)
      Renewable power plays a prominent role in the decarbonization of energy generation, particularly wind and solar energy sources. However, the intermittency of these renewable sources calls for energy ...
    • Sustainable Development Goals-Based Prospective Process Design Using Hybrid Modeling 

      Jog, Sachin; Vázquez, Daniel; Santos, Lucas F.; Medrano-García, Juan D.; Guillén-Gosálbez, Gonzalo (Industrial & Engineering Chemistry Research 2025, 64 (5), 2816–2830, 2025-02-05)
      Replacing fossil technologies with renewable carbon-based technologies is of vital importance for the development of sustainable chemical processes in the future. However, impacts beyond climate change ...
    • Win–Win More Sustainable Routes for Acetic Acid Synthesis 

      Medrano-García, Juan D.; Calvo Serrano, Raul; Tian, Haining; Guillén-Gosálbez, Gonzalo (ACS Sustainable Chemistry & Engineering 2025, 13 (4), 1522–1531, 2025-02-03)
      Current efforts to decarbonize the chemical sector by using captured CO2 and electrolytic H2 typically lead to high production costs and environmental collateral damage. Hence, there is a clear need to ...