[1] EGEC Geothermal Market Report 2017 - EGEC - European Geothermal Energy Council https://www.egec.org/media-publications/egec-geothermal-market-report-2017/. (Accessed on 8 February 2021).
[2] Luo J., Zhao H., Jia J., Xiang W., Rohn J., Blum P., Study on operation management of borehole heat exchangers for a large-scale hybrid ground source heat pump system in China. Energy, 2017, 123: 340–352.
[3] Fan R., Gao Y., Hua L., Deng X., Shi J., Thermal performance and operation strategy optimization for a practical hybrid ground-source heat-pump system. Energy and Buildings, 2014, 78: 238–247.
[4] Laferrière A., Cimmino M., Model predictive control applied to residential self-assisted ground source heat pumps. Proceedings of the IGSHPA Research Track 2018. International Ground Source Heat Pump Association, 2018. DOI: 10.22488/okstate.18.000034
[5] Gultekin A., Aydin M., Sisman A., Thermal performance analysis of multiple borehole heat exchangers. Energy Conversion and Management, 2016, 122: 544–551.
[6] Drgoňa J., Arroyo J., Cupeiro Figueroa I., Blum D., Arendt K., Kim D., et al., All you need to know about model predictive control for buildings. Annual Reviews in Control, 2020, 50: 190–232.
[7] Verhelst C., Model predictive control of ground coupled heat pump systems for office buildings. KU Leuven, Heverlee, Belgium, 2012.
[8] Picard D., Modeling, optimal control and HVAC design of large buildings using ground source heat pump systems. KU Leuven, Heverlee, Belgium, 2017.
[9] Cupeiro Figueroa I., Cimmino M., Helsen L., A methodology for long-term model predictive control of hybrid geothermal systems: The shadow-cost formulation. Energies, 2020, 13(23): 6203.
[10] Atam E., Helsen L., Ground-coupled heat pumps: Part 1 – Literature review and research challenges in modeling and optimal control. Renewable and Sustainable Energy Reviews, 2016, 54: 1653–1667.
[11] Cimmino M., Pygfunction: an open-source toolbox for the evaluation of thermal response factors for geothermal borehole fields. Proceedings of eSim, 2018, the 10th conference of IBPSA-Canada. ISBN 978-2-921145-88-6.
[12] Cazorla Marín A., Modelling and experimental validation of an innovative coaxial helical borehole heat exchanger for a dual source heat pump system. Universitat Politècnica de València, Valencia, Spain. 2019.
[13] Cupeiro Figueroa I., Cimmino M., Drgoňa J., Helsen L., Fluid temperature predictions of geothermal borefields using load estimations via state observers. Journal of Building Performance Simulation, 2021, 14(1): 1–19.
[14] Cupeiro Figueroa I., Picard D., Helsen L., Short-term modeling of hybrid geothermal systems for Model Predictive Control. Energy and Buildings, 2020, 215: 109884.
[15] Weeratunge H., Narsilio G., de Hoog J., Dunstall S., Halgamuge S., Model predictive control for a solar assisted ground source heat pump system. Energy, 2018, 152: 974–984.
[16] Drgoňa J., Picard D., Helsen L., Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration. Journal of Process Control, 2020, 88: 63–77.
[17] Atam E., Patteeuw D., Antonov S.P., Helsen L., Optimal control approaches for analysis of energy use minimization of hybrid ground-coupled heat pump systems. IEEE Transactions on Control Systems Technology, 2015. DOI: 10.1109/TCST.2015.2445851
[18] de Paly M., Hecht-Méndez J., Beck M., Blum P., Zell A., Bayer P., Optimization of energy extraction for closed shallow geothermal systems using linear programming. Geothermics, 2012, 43: 57–65.
[19] Hecht-Méndez J., de Paly M., Beck M., Bayer P., Optimization of energy extraction for vertical closed-loop geothermal systems considering groundwater flow. Energy Conversion and Management, 2013, 66: 1–10.
[20] Bayer P., de Paly M., Beck M., Strategic optimization of borehole heat exchanger field for seasonal geothermal heating and cooling. Applied Energy, 2014, 136: 445–453.
[21] Bayer P., Beck M., de Paly M., Automatic optimization of multiple borehole heat exchanger fields. Renewable Energy in the Service of Mankind Vol I, 2015.
DOI: 10.1007/978-3-319-17777-9_22
[22] Nordell B., Andersson O., Rydell L., Liuzzo-Scorpo A., Long-term performance of the HT-BTES in Emmaboda, Sweden. Conference: Greenstock 2015, Beijing, China, 2015.
[23] Andersson O., Rydell L., Algotsson T., Efficient usage of waste heat by applying a seasonal energy storage (BTES) at ITT Water & Wastewater AB, Emmaboda, Sweden. Proceedings of Effstock 2009, the 11th International Conference on Energy Storage, Stockholm, June 14–17, 2009.
[24] Futterer J., Constantin A., Schmidt M., Streblow R., Muller D., Kosmatopoulos E., A multifunctional demonstration bench for advanced control research in buildings; Monitoring, control, and interface system. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Vienna, Austria, 2013. DOI: 10.1109/IECON.2013.6700068
[25] Bode G., Fütterer J., Müller D., Mode and storage load based control of a complex building system with a geothermal field. Energy and Buildings, 2018, 158: 1337–1345.
[26] Eskilson P., Claesson J., Simulation model for thermally interacting heat extraction boreholes. Numerical Heat Transfer, 1988, 13(2): 149–165.
[27] Kühl P., Diehl M., Kraus T., Schlöder J.P., Bock H.G., A real-time algorithm for moving horizon state and parameter estimation. Computers & Chemical Engineering, 2011, 35(1): 71–83.
[28] Andersson J.A.E., Gillis J., Horn G., Rawlings J.B., Diehl M., CasADi: a software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 2019, 11(1): 1–36.
[29] Gurobi Optimization LLC, Gurobi optimizer reference manual. 2022. https://www.gurobi.com
[30] Laszczyk P., Simplified modeling of liquid-liquid heat exchangers for use in control systems. Applied Thermal Engineering, 2017, 119: 140–155.
[31] Hart W.E., Laird C.D., Watson J.P., Woodruff D.L., Hackebeil G.A., Nicholson B.L. et al., Pyomo— optimization modeling in python. Springer International Publishing, 2017.
[32] Wächter A., Biegler L.T., On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Mathematical Programming, 2006, 106(1): 25–57.
[33] VDI-Gesellschaft Energie und Umwelt, Thermal use of the underground - Ground source heat pump systems. Norm: VDI 4640 Blatt 2, 2019.
https://www.vdi.de/richtlinien/details/vdi-4640-blatt-2-thermal-use-of-the-underground-ground-source-heat-pump-systems
[34] Stellventile für die Prozessregelung – Teil 2–1: Durchflusskapazität, 2012. Industrial-process control valves - Part 2-1: Flow capacity - Sizing equations for fluid flow under installed conditions (International Norm IEC 60534-2-1: 2011); German version EN 60534-2-1: 2011
https://www.din.de/de/mitwirken/normenausschuesse/dke/veroeffentlichungen/wdc-beuth:din21:145144261
