Because of the adverse effect of CO₂ from fossil fuel combustion on the earth’s ecosystems, the most cost‐effective method for CO₂ capture is an important area of research. The predominant process for CO₂ capture currently employed by industry is chemical absorption in amine solutions. A dynamic model for the de‐absorption process was developed with monoethanolamine (MEA) solution. Henry’s law was used for modelling the vapour phase equilibrium of the CO₂, and fugacity ratios calculated by the Peng–Robinson equation of state (EOS) were used for H₂O, MEA, N₂ and O₂. Chemical reactions between CO₂ and MEA were included in the model along with the enhancement factor for chemical absorption. Liquid and vapour energy balances were developed to calculate the liquid and vapour temperature, respectively.

This paper is on an onshore variable speed wind turbine with doubly fed induction generator and under supervisory control. The control architecture is equipped with an event-based supervisor for the supervision level and fuzzy proportional integral or discrete adaptive linear quadratic as proposed controllers for the execution level. The supervisory control assesses the operational state of the variable speed wind turbine and sends the state to the execution level. Controllers operation are in the full load region to extract energy at full power from the wind while ensuring safety conditions required to inject the energy into the electric grid. A comparison between the simulations of the proposed controllers with the inclusion of the supervisory control on the variable speed wind turbine benchmark model is presented to assess advantages of these controls

This paper presents an adaptive receding horizon control algorithm for a distributed collector solar field which explicitly explores its distributed parameter character. The plant considered is a distributed collector solar field, being described by a nonlinear hyperbolic partial differential equation (PDE) which models the temperature dynamics. A lumped parameter model is obained by applying Orthogonal Collocation. This model is then used as a basis for controller design. Stability is ensured for the lumped parameter model by resorting to Control Lyapunov function methods. Simulation results using a detailed physically based simulator of the solar field are provided.