Institut Nachhaltigkeit und Energie am Bau
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/10
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Publikation Application and analysis of a model based controller for cooling towers in compression chiller plants(Elsevier, 2020) Sawant, Parantapa; Ho, Eric; Pfafferott, JensCooling towers or recoolers are one of the major consumers of electricity in a HVAC plant. The implementation and analysis of advanced control methods in a practical application and its comparison with conventional controllers is necessary to establish a framework for their feasibility especially in the field of decentralised energy systems. A standard industrial controller, a PID and a model based controller were developed and tested in an experimental set-up using market-ready components. The characteristics of these controllers such as settling time, control difference, and frequency of control actions are compared based on the monitoring data. Modern controllers demonstrated clear advantages in terms of energy savings and higher accuracy and a model based controller was easier to set-up than a PID.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Demonstration of optimal scheduling for a building heat pump system using eEconomic-MPC(MDPI, 2021) Sawant, Parantapa; Villegas Mier, Oscar; Schmidt, Michael; Pfafferott, JensIt is considered necessary to implement advanced controllers such as model predictive control (MPC) to utilize the technical flexibility of a building polygeneration system to support the rapidly expanding renewable electricity grid. These can handle multiple inputs and outputs, uncertainties in forecast data, and plant constraints, amongst other features. One of the main issues identified in the literature regarding deploying these controllers is the lack of experimental demonstrations using standard components and communication protocols. In this original work, the economic-MPC-based optimal scheduling of a real-world heat pump-based building energy plant is demonstrated, and its performance is evaluated against two conventional controllers. The demonstration includes the steps to integrate an optimization-based supervisory controller into a typical building automation and control system with off-the-shelf HVAC components and usage of state-of-art algorithms to solve a mixed integer quadratic problem. Technological benefits in terms of fewer constraint violations and a hardware-friendly operation with MPC were identified. Additionally, a strong dependency of the economic benefits on the type of load profile, system design and controller parameters was also identified. Future work for the quantification of these benefits, the application of machine learning algorithms, and the study of forecast deviations is also proposed.01A - Beitrag in wissenschaftlicher Zeitschrift