Experimental demonstration of grid-supportive scheduling of a polygeneration system using economic-MPC
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Publication date
12.11.2021
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Type
01A - Journal article
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Parent work
Energy and Buildings
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Volume
254
Issue / Number
111619
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Elsevier
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Abstract
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.
Keywords
Model predictive control, Sector-coupling, Optimal scheduling of energy systems, Real-world trigeneration, Mixed integer nonlinear optimal control
Subject (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
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ISBN
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0378-7788
Language
English
Created during FHNW affiliation
No
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Published
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Peer review of the complete publication
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Closed
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Citation
SAWANT, Parantapa, Adrian BÜRGER, Clemens FELSMANN und Jens PFAFFEROTT, 2021. Experimental demonstration of grid-supportive scheduling of a polygeneration system using economic-MPC. Energy and Buildings. 12 November 2021. Bd. 254, Nr. 111619. DOI 10.1016/j.enbuild.2021.111619. Verfügbar unter: https://irf.fhnw.ch/handle/11654/43711