Auflistung nach Autor:in "Felsmann, Clemens"

Gerade angezeigt 1 - 3 von 3

Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control
(Elsevier, 2020) Sawant, Parantapa; Bürger, Adrian; Doan, Minh Dang; Felsmann, Clemens; Pfafferott, Jens
01A - Beitrag in wissenschaftlicher Zeitschrift
Experimental demonstration of grid-supportive scheduling of a polygeneration system using economic-MPC
(Elsevier, 12.11.2021) Sawant, Parantapa; Bürger, Adrian; Felsmann, Clemens; Pfafferott, Jens
Drawing off the technical flexibility of building polygeneration systems to support a rapidly expanding renewable electricity grid requires the application of advanced controllers like model predictive control (MPC) that can handle multiple inputs and outputs, uncertainties in forecast data, and plant constraints amongst other features. In this original work, an economic-MPC-based optimal scheduling of a real-world building energy system is demonstrated and its performance is evaluated against a conventional controller. The demonstration includes the steps to integrate an optimisation-based supervisory controller into a standard building automation and control system with off-the-shelf HVAC components and usage of state-of-art algorithms for solving complex nonlinear mixed integer optimal control problems. With the MPC, quantitative benefits in terms of 6–12% demand-cost savings and qualitative benefits in terms of better controller adaptability and hardware-friendly operation are identified. Further research potential for improving the MPC framework in terms of field-level stability, minimising constraint violations, and inter-system communication for its deployment in a prosumer-network is also identified.
01A - Beitrag in wissenschaftlicher Zeitschrift
Quasi-first-principle based grey-box modelling of microscale trigeneration systems for application in automatic control
(Elsevier, 2018) Sawant, Parantapa; Pfafferott, Jens; Felsmann, Clemens
With the need for automatic control based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear behaviour of the components but also certain unknown process dynamics like their internal control logic. At the Institute of Energy Systems Technology in Offenburg we have built a real-life microscale trigeneration plant and present in this paper a rational modelling procedure that satisfies the necessary characteristics for models to be applied in model predictive control for grid-reactive optimal scheduling of this complex energy system. These models are validated against experimental data and the efficacy of the methodology is discussed. Their application in the future for the optimal scheduling problem is also briefly motivated.
01A - Beitrag in wissenschaftlicher Zeitschrift