The Three-tank Watergy Configuration

Authors

  • Mihaela Popa Petroleum-Gas University of Ploiesti, Aurel Vlaicu University of Arad, Romania
  • Marius M. Balas Aurel Vlaicu University of Arad, Romania
  • Ramona Lile Aurel Vlaicu University of Arad, Romania
  • Valentina Emilia Balas Aurel Vlaicu University of Arad, Petroleum-Gas University of Ploiesti, Romania

DOI:

https://doi.org/10.15837/ijccc.2024.1.6418

Keywords:

Watergy, greenhouse three-tank system, heat pump, radiator

Abstract

The objective of this paper is to propose a generic mathematical model, capable of supporting the design of a custom Watergy plant and future testing of suited control algorithms. The subsystems of the Watergy system are an inside water tank, providing input water for the heat pump, accumulating watering water for plants, and acting like a buffer for the hydraulic operations between tanks, a surface water tank, collecting rain waters, accumulating warm water when the outside temperature is high and cold water when the outside temperature is low and an underground water tank, accumulating water at constant underground temperature.

References

H.J.J. Janssen, S.L. Speetjens. (2004). Watergy, Control System Handbook Preliminary version. Wageningen University & Research Centre, Agrotechnology & Food Science Group, Wageningen, 2004.

G. van Straten. (2006). Investment in Novel Closed Greenhouse Systems: the Watery design and other developments. First Workshop on Investment in Protected Cultivation in GCC Coun-tries, Abu Dhabi, 2006. http://www.icarda-aprp.ae/News-pic/PA-WS-Abu.htm.

B. Lancaster. (2010). Watergy. 2010. www.HarvestingRainwater.com.

H.J.J. Janssen, T.H. Gieling, S.L. Speetjens, J.D. Stigter, G. van Straten. (2005). Watergy: Infrastructure for Process Control in a Closed Greenhouse in Semi-arid Regions. Proc. IC on Greensys, Eds.: G. van Straten et al., Acta Hort. 691, ISHS 2005.

https://doi.org/10.17660/ActaHortic.2005.691.101

Watergy. (2022). A system for interconnecting water and energy. https://www.stadtentwicklung. berlin.de/bauen/oekologisches_bauen/download/ausstellung/ecological

A. Simo, S. Dzitac, A. Duţu, I. Pandelica (2023). Smart Agriculture in the Digital Age: A Comprehensive IoT-Driven Greenhouse Monitoring System, International Journal of Computers Communications & Control, 18(6), 6147, 2023.

https://doi.org/10.15837/ijccc.2023.6.6147

Jiang, Y.; Wang, Z.; Z. Jin. (2023). Iot Data Processing and Scheduling Based on Deep Reinforcement Learning, International Journal of Computers Communications & Control, 18(6), 5998, 2023.

https://doi.org/10.15837/ijccc.2023.6.5998

D. Alexuta. (2022). Urban green areas using sustainable aquaponics. Scientific Papers. Series B, Horticulture. Vol. LXVI, No. 2, pp. 349-356, 2022.

I. Sarbu, C. Sebarchievici. (2010). Heat pumps - Efficient heating and cooling solution for buildings. WSEAS Transactions on Heat and Mass Transfer, Issue 2, Volume 5, April 2010.

A. Ionesi, M. Jradi, J.E. Thorsen, C.T. Veje. (2015). Simulation of an Adaptive Heat Curve for Automatic Optimization of District Heating Installation. Proc. of BS2015 14th Conf. of International Building Performance Simulation Association, Hyderabad, India, Dec. 7-9, 2015.

https://doi.org/10.26868/25222708.2015.2823

M. Miara, D. Gunther, R. Langner, S. Helmling. (2014). Efficiency of Heat Pumps in Real Operating Conditions. REHVA Journal - September 2014.

O. Kazanci, J. Toftum, B.W. Olesen. (2016). Effect of Set-point Variation on Thermal Com-fort and Energy Use in a Plus-energy Dwelling. Proc. of 9th Windsor Conference: Making Comfort Relevant, Cumberland Lodge, Windsor, UK, 7-10 April 2016.

C. Fang, Q. Xu, S. Wang, Y. Ruan. (2018). Operation optimization of heat pump in compound heating system. Energy Procedia 152, pp. 45-50, 2018.

https://doi.org/10.1016/j.egypro.2018.09.057

Z. Afroz, G.M. Shafiullah, T. Urmee, G. Higgins. (2019). Tuning approach of dynamic con-trol strategy of temperature set-point for existing commercial buildings. IOP Conf. Series: Mate-rials Science and Engineering 609, 2019.

https://doi.org/10.1088/1757-899X/609/6/062029

P. Chalupa, J. Novák, V. Bobál. (2012). Comprehensive Model of DTS200 Three Tank Sys-tem in Simulink. International Journal of Mathematical Models and Methods in Applied Sciences. Issue 2, Vol. 6, pp. 358-365, 2012

M.M. Balas, M. Buchholz, S. Balas. (2014). Expert Control for the Coupled Tanks Green-house. Proceedings of International Workshop on Soft Computing and Applications SOFA'14, Timisoara, Romania, July 2014.

https://doi.org/10.1007/978-3-319-18416-6_74

Additional Files

Published

2024-01-04

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