J.A. (Jorge Andres) Moncada Escudero PDEng


Jorge Andrés Moncada is a PhD researcher at Delft University of Technology and Utrecht University. His current research interests include: (bio)energy system analysis, complex adaptive systems, socio-technical systems, computational economics and agent-based modelling. He received his bachelor and master degree in chemical engineering at National University of Colombia. He also holds a Professional Doctorate in Engineering (PDEng) on process and equipment design at Delft University of Technology.


His PhD project is aimed to answer the following research question: Which (constellation of) incentive system(s) is/are most likely effective to bring the renewable jet fuel supply chains into being? The approach used to answer this question consists of combining state-of-the-art developments in agent-based modeling and simulation with elements of institutional economics to create a simulation model to understand and to shape the emergence of renewable jet fuel supply chains.  
More information

  • Moncada, J. A., Lukszo, Z., Junginger, M., Faaij, A., & Weijnen, M. (2017). A conceptual framework for the analysis of the effect of institutions on biofuel supply chains. Applied Energy, 185, Part 1, 895-915. doi: http://dx.doi.org/10.1016/j.apenergy.2016.10.070
  • Agent-based model of the German Biodiesel Supply Chain
    Moncada Escudero JA, Junginger M, Lukszo Z, Faaij APC & Weijnen MPC. 2015 12 International Symposium on Process Systems Engineering and 25 European Symposium on Computer Aided Process Engineering. Gernaey KV, Huusom JK & Gani R (eds.). Amsterdam: Elsevier. 37, p. 2045-2050 6 p. 

Fuel supply chain development and flight operations

Objective: to accelerate the development of sustainable bio fuel supply chains that may account for 20 per cent of jet fuel demand in the European Union in 2025. 

Jorge Andres Moncada Escudero


Engineering Systems and Services

Energy and Industry

Research interests:
(Bio) energy system analysis
Renewable jet fuel supply chains
Complex-adaptive systems
Socio-technical systems
(Neo) institutional economics
Agent-based modelling

Dit onderdeel wordt voor u geblokkeerd omdat het cookies bevat. Wilt u deze content (en anderen) alsnog bekijken? Door hier op te klikken geeft u alsnog toestemming voor het plaatsen van cookies.

Additional information