A combined moving boundary and discretized approach for dynamic modeling and simulation of geothermal heat pump systems

Abstract The major goal of this study is to demonstrate the feasibility of the dynamic modeling and simulation of both conventional and direct exchange geothermal heat pump applications particularly with regard to performance evaluations. A direct exchange geothermal heat pump system is a geothermal heat pump system in which the refrigerant circulates through tubing placed in the ground. In this research, dynamic models for the simulation of geothermal heat pump systems with the working fluid propane for the application in building-scale energy systems have been developed based on the Moving Boundary approach and the challenges of dynamically evaluating these kind of energy systems have been hereby met. Additionally, the performance of both horizontal (slinky-coil) and vertical (borehole) geothermal heat exchangers, which have been modeled based on the Conventional Discretized approach, for such systems has been evaluated. Since these two modeling approaches are not compatible with one another, the coupling of the moving boundary model with the discretized model is therefore another challenge and of great importance. On the basis of a case study, the complete conventional and direct exchange geothermal heat pump systems with vertical and horizontal heat exchangers have been simulated and energetically and exergetically analyzed.

[1]  Graziano Salvalai.  Implementation and validation of simplified heat pump model in IDA-ICE energy simulation environment , 2012 .

[2]  Alessandro Casasso,et al.  Modelling thermal recycling occurring in groundwater heat pumps (GWHPs) , 2015 .

[3]  Rita Streblow,et al.  Simulation-based implementation and evaluation of a system of systems optimization algorithm in a building control system , 2016, 2016 24th Mediterranean Conference on Control and Automation (MED).

[4]  Dirk Müller,et al.  A linear model predictive control for advanced building energy systems , 2017, 2017 25th Mediterranean Conference on Control and Automation (MED).

[5]  Roozbeh Sangi,et al.  Dynamic modelling and simulation of a slinky-coil horizontal ground heat exchanger using Modelica , 2018 .

[6]  Edson L. Meyer,et al.  Mathematical modeling and simulation application to visualize the performance of retrofit heat pump water heater under first hour heating rating , 2014 .

[7]  Sepehr Sanaye,et al.  Horizontal ground coupled heat pump: Thermal-economic modeling and optimization , 2010 .

[8]  Ali Saadat,et al.  Partial derivatives of thermodynamic state properties for dynamic simulation , 2013, Environmental Earth Sciences.

[9]  José M. Corberán,et al.  A quasi-steady state mathematical model of an integrated ground source heat pump for building space control , 2011 .

[10]  Sebastian Herkel,et al.  Validation of a black-box heat pump simulation model by means of field test results from five installations , 2014 .

[11]  Rita Streblow,et al.  Dynamic Exergy Analysis - Part II: A Case Study of CHP District Heating in Bottrop, Germany , 2014 .

[12]  Roozbeh Sangi,et al.  Dynamic exergy analysis - Modelica-based tool development: A case study of CHP district heating in Bottrop, Germany , 2017 .

[13]  Eric W. Lemmon,et al.  Thermodynamic Properties of Propane. III. A Reference Equation of State for Temperatures from the Melting Line to 650 K and Pressures up to 1000 MPa , 2009 .

[14]  Hossein Yousefi,et al.  Numerical modeling and economic analysis of a ground source heat pump for supplying energy for a greenhouse in Alborz province, Iran , 2016 .

[15]  Dirk Müller,et al.  Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study , 2018 .

[16]  Markus Eck,et al.  Dynamics and control of parabolic trough collector loops with direct steam generation , 2007 .

[17]  Xuyong Li,et al.  Modeling and performance evaluation of shallow ground water heat pumps in Beijing plain, China , 2011 .

[18]  Mohamed Ouzzane,et al.  A quasi-transient model of a transcritical carbon dioxide direct-expansion ground source heat pump for space and water heating , 2015 .

[19]  Rita Streblow,et al.  Modelica-based modeling and exergy analysis of a central heating system , 2013 .

[20]  R. Perkins,et al.  Measurement and Correlation of the Thermal Conductivity of Propane from 86 K to 600 K at Pressures to 70 MPa , 2002 .

[21]  Piotr A. Domanski,et al.  AN IMPROVED TWO-PHASE PRESSURE DROP CORRELATION FOR 180° RETURN BENDS , 2006 .

[22]  Roozbeh Sangi,et al.  Thermoeconomic analysis of a building heating system , 2016 .

[23]  J. M. Jensen,et al.  Dynamic modelling of thermo-fluid systems - with focus on evaporators for refrigeration , 2003 .

[24]  Andrew G. Alleyne,et al.  A dynamic model of a vapor compression cycle with shut-down and start-up operations , 2010 .

[25]  John Pye,et al.  A transient model for the heat exchange in a solar thermal once through cavity receiver , 2013 .

[26]  Onder Ozgener,et al.  Modeling and performance evaluation of ground source (geothermal) heat pump systems , 2007 .

[27]  Nedim Sozbir,et al.  Numerical modeling of a ground source heat pump: The Bolu case , 2015 .

[28]  Ali Saadat,et al.  HelmholtzMedia — A Fluid Properties Library , 2012 .

[29]  Dominique Marchio,et al.  COMPARATIVE ANALYSIS OF AIR-TO-AIR HEAT PUMP MODELS FOR BUILDING ENERGY SIMULATION Hubert , 2012 .

[30]  Sepehr Sanaye,et al.  Thermal-economic modeling and optimization of vertical ground-coupled heat pump , 2009 .

[31]  R. Chargui,et al.  Modeling of a residential house coupled with a dual source heat pump using TRNSYS software , 2014 .

[32]  Zheng Xuejing,et al.  Seepage and heat transfer modeling on beach well infiltration intake system in seawater source heat pump , 2014 .

[33]  R. Al-Khoury,et al.  A spectral model for transient heat flow in a double U-tube geothermal heat pump system , 2016 .

[34]  Yujin Nam,et al.  Numerical simulation for the optimum design of ground source heat pump system using building foundation as horizontal heat exchanger , 2014 .

[35]  M. Sorin,et al.  Modeling the exergy performance of heat pump systems without using refrigerant thermodynamic properties , 2016 .

[36]  Dirk Müller,et al.  A Platform for the Agent-based Control of HVAC Systems , 2017, Modelica.

[37]  K. Gubbins,et al.  A correlation of the viscosity and thermal conductivity data of gaseous and liquid propane , 1979 .

[38]  Rita Streblow,et al.  Dynamic Exergy Analysis - Part I: Modelica-Based Tool Development , 2014 .

[39]  Rita Streblow,et al.  Dynamic Modeling, Simulation and Exergy Analysis of an Innovative Hydronic Heating System , 2013 .

[40]  Ryozo Ooka,et al.  Development of a numerical model to predict heat exchange rates for a ground-source heat pump system , 2008 .

[41]  Rita Streblow,et al.  Modeling and simulation of the heating circuit of a multi-functional building , 2016 .

[42]  Stanislaw Kajl,et al.  Modeling of a direct expansion geothermal heat pump using artificial neural networks , 2014 .

[43]  Roozbeh Sangi,et al.  A novel hybrid agent-based model predictive control for advanced building energy systems , 2018, Energy Conversion and Management.

[44]  Lieve Helsen,et al.  Ground-coupled heat pumps: Part 1 – Literature review and research challenges in modeling and optimal control , 2016 .

[45]  Dirk Müller,et al.  A Modelica library for the agent-based control of building energy systems , 2017 .

[46]  François E. Cellier,et al.  Object-Oriented Library of Switching Moving Boundary Models for Two-phase Flow Evaporators and Condensers , 2012 .