Demonstration of optimal scheduling for a building heat pump system using eEconomic-MPC

Loading...
Thumbnail Image
Authors
Villegas Mier, Oscar
Schmidt, Michael
Pfafferott, Jens
Author (Corporation)
Publication date
2021
Typ of student thesis
Course of study
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Energies
Special issue
DOI of the original publication
Link
Series
Series number
Volume
14
Issue / Number
23
Pages / Duration
7953
Patent number
Publisher / Publishing institution
MDPI
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
It 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.
Keywords
Building technologies, Experimental demonstration, Model predictive control, MIQP, Heat-pump control
Subject (DDC)
624 - Ingenieurbau und Umwelttechnik
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1996-1073
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
SAWANT, Parantapa, Oscar VILLEGAS MIER, Michael SCHMIDT und Jens PFAFFEROTT, 2021. Demonstration of optimal scheduling for a building heat pump system using eEconomic-MPC. Energies. 2021. Bd. 14, Nr. 23, S. 7953. DOI 10.3390/en14237953. Verfügbar unter: https://doi.org/10.26041/fhnw-9693