This section provides downloads and links to articles, papers, reports and diagrams, plus relevant and related guides.  

The project deliverables will also be accessible here, and shall be added to whilst the project progresses.

SHORT-TERM MODELING OF HYBRID GEOTHERMAL SYSTEMS FOR MODEL PREDICTIVE CONTROL

File size: 2mb

Authors: Iago Cupeiro Figueroa, Damien Picard and Lieve Helsen

Highlights

• A simulation study assesses the impact of COP formulation and borefield controller model for model predictive control of a hybrid geothermal system.
• Using an accurate COP formulation presents a smoother and more efficient heat pump behaviour.
• Including a borefield controller model avoids hitting the heat pump safety freezing constraints, improving robustness.
• Despite reducing the number of iterations in the optimisation, the simulation time is increased, however still feasible.

 

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POTENTIAL OF THE MPC HYBRIDGEOTABS CONCEPT FOR BUILDINGS: LIBEZNICE SCHOOL

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Authors: Yauheni Kachalouski, Jiri Cigler and Lukas Ferkl

As a part of hybridGEOTABS project, Libeznice school is one of several demonstration cases that employs geothermal heat pump with Thermally Activated Building Systems (TABS) combined with Model Predictive Control (MPC) algorithms for heating and cooling. Benefits and potential of such a system is presented in this article.

The whole October Journal can be downloaded here:

https://www.rehva.eu/rehva-journal/detail/05-2019

 

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REHVA JOURNAL ARTICLE FEBRUARY 2019

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Key Modules and Optimisation Approach for hybridGEOTABS Buildings: Background and state-of-the-art

Our consortium partners, Héctor Cano Esteban, Qian Wang, Jan Hoogmartens and Ongun Berk Kazanci introduce hybrid MPC GEOTABS and its key modules, and their optimisation in the REHVA Journal's February 2019 edition.

As the second article of a serial of project disseminations, this paper introduces the working principle of hybridGEOTABS, as well as their main components/modules. The optimization approach of key modules in common practice is also discussed. This article aims at providing a basic knowledge of the concept as a preparation for the up-coming optimization development and integration of the involved key modules.

Subjects wthin the article focus on:

Hydronic radiant heating and cooling systems : TABS and its optimization approach

Heat pump and secondary system module and its optimization

Geothermal and renewable supply module optimization

Read the full article here

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REHVA JOURNAL ARTICLE JUNE 2018

File size: 893kb

hybridGEOTABS project - MPC for controlling the power of the ground by integration

Our introductory article, part of a series in the REHVA Journal explaining hybridGEOTABS and ongoing results, is now available in June's publication.
 
Through the use of Model Predictive Control (MPC), a new control-integrated building design procedure and a readily applicable commercial system solution in GEOTABShybrid, the overall efficiency of heating and cooling will be significantly improved in comparison to current best practice GEOTABS systems and its competitiveness will be strengthened.

The present paper is the first of a series that introduces the hybridGEOTABS project and then specifically focuses on the control-related aspects of the hybridGEOTABS solution, the MPC, providing some interesting insights of its potential development.
 
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INSTALLATIE & BOUW APRIL 2018

Gebouwen Kosteneffectief Maken - Met Model Predictive Control

Installatie & Bouw  April 2018 (p40-14) features an article by our consortium partner Filip Jorissen on MPC at Solarwind (Dutch)

Read the article here
 

ECONOMIC OPTIMAL HVAC DESIGN FOR HYBRID GEOTABS BUILDINGS AND CARBON DIOXIDE EMISSIONS ANALYSIS

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Authors: Damien Picard and Lieve Helsen

Energies Vol 11, Issue 2 February 2018

Design and Performance Evaluation of an Axial Inflow Turbocharger Turbine

In the early design phase of a building, the task of the Heating, Ventilation and Air Conditioning (HVAC) engineer is to propose an appropriate HVAC system for a given building. This system should provide thermal comfort to the building occupants at all time, meet the building owner’s specific requirements, and have minimal investment, running, maintenance and replacement costs (i.e., the total cost) and energy use or environmental impact. Calculating these different aspects is highly time-consuming and the HVAC engineer will therefore only be able to compare a (very) limited number of alternatives leading to suboptimal designs. This study presents therefore a Python tool that automates the generation of all possible scenarios for given thermal power profiles and energy load and a given database of HVAC components. The tool sizes each scenario properly, computes its present total cost (PC) and the total CO2 emissions associated with the building energy use. Finally, the different scenarios can be searched and classified to pick the most appropriate scenario. The tool uses static calculations based on standards, manufacturer data and basic assumptions similar to those made by engineers in the early design phase. The current version of the tool is further focused on hybrid GEOTABS building, which combines a GEOthermal heat pump with a Thermally Activated System (TABS). It should further be noted that the tool optimizes the HVAC system but not the building envelope, while, ideally, both should be simultaneously optimized.

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