Non-linear model predictive supervisory controller for building, air handling unit with recuperator and refrigeration system with heat waste recovery

Minko, Tomasz; Wiśniewski, Rafał; Bendtsen, Jan Dimon; Izadi‐Zamanabadi, Roozbeh

doi:10.1109/cca.2016.7587982

Cited by 1 publication

(1 citation statement)

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“…In energy research, applications include the exploitation [79,30,102] and transport [130] of fossil fuels, power-to-gas systems [26], control of combined-cycle [80] and steam [17] power plants, solar thermal power plants [114], production models [87] and control [65] of classical wind-turbines, design and control of airborne wind energy systems [75,66,85,43,89,104], MEMS energy harvesters [82], design of geothermal heat pumps [135], thermal control of buildings [105,33], electrical grids [45,118], electrical grid balancing [44], and price arbitrage on the energy market [34].…”

Section: Optimization and Simulation In Science And Engineeringmentioning

confidence: 99%

CasADi: a software framework for nonlinear optimization and optimal control

Andersson

Gillis

Horn³

et al. 2018

Math. Prog. Comp.

2,616

976

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We present CasADi, an open-source software framework for numerical optimization. CasADi is a general-purpose tool that can be used to model and solve optimization problems with a large degree of flexibility, larger than what is associated with popular algebraic modeling languages such as AMPL, GAMS, JuMP or Pyomo. Of special interest are problems constrained by differential equations, i.e. optimal control problems. CasADi is written in self-contained C++, but is most conveniently used via full-featured interfaces to Python, MATLAB or Octave. Since its inception in late 2009, it has been used successfully for academic teaching as well as in applications from multiple fields, including process control, robotics and aerospace. This article gives an up-to-date and accessible introduction to the CasADi framework, which has undergone numerous design improvements over the last seven years.

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