Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published September 30, 2020 | Version 2.0
Project deliverable Open

(D3.2) Report describing the mathematical formulation of different objective functions for hybridGEOTABS buildings MPC

  • 1. University of Leuven
  • 2. Czech Technical University in Prague (UCEEB)

Description

This deliverable reviews and describes the possible objective functions in the MPC formulation for the hybridGEOTABS concept. Model Predictive Control implies the recurring use of an optimization problem in the discrete time which aims to minimize a cost or objective function. In building HVAC applications, typical objectives are the minimisation of the energy use, energy cost or CO2-emissions, while maintaining the indoor environmental quality and thermal balance of the geothermal borefield. Alternative objectives are discussed, such as the peak power, share of RES, flexibility etc. 

Notes

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 723649

Files

D3.2_21-07-16_v2.0-doi.pdf

Files (895.5 kB)

Name Size Download all
md5:1d4ef3a940fa9ff3a04c3891e20b6de4
895.5 kB Preview Download

Additional details

Related works

Documents
Journal article: 10.1016/j.arcontrol.2020.09.001 (DOI)

Funding

MPC-. GT – Model Predictive Control and Innovative System Integration of GEOTABS;-) in Hybrid Low Grade Thermal Energy Systems - Hybrid MPC GEOTABS 723649
European Commission