Prediction of the ground temperature variations caused by the operation of GSHP system with ANN

Zhou, Shiyu; Li, Jiahao; Zhang, Yandong; Li, Xiaoping; Zhang, Wenke

doi:10.1016/j.geothermics.2021.102140

Cited by 17 publications

(6 citation statements)

References 21 publications

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“…The many methodologies for GHSP modelling have been widely applied and reviewed in detail and they can be roughly categorized in thermal response factor-based models (either numerical, analytical or hybrid models) [112,[116][117][118], numerical thermal models [119][120][121][122][123][124], artificial neural network models (ANN) [125][126][127][128], and state-space models [129,130]. Based on the provided model, different design-optimization methods may be applied: in a study by Atam et al [129], an exhaustive overview on recent advances in optimal design of GSHPs is provided.…”

Section: Design and Control Optimizationmentioning

confidence: 99%

State of the Art, Perspective and Obstacles of Ground-Source Heat Pump Technology in the European Building Sector: A Review

et al. 2022

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In the European Union, 40% of the overall final energy consumption is attributable to the buildings sector. A reason for such data may be found considering that the great majority of the building stock is more than 40 years old. According to the European Commission, an interesting potential lies in the refurbishment of the building sector, and heat pump technology has been recognized as one of the most cost-effective solutions to tackle the environmental issue of this sector. Regarding heat pump technology, ground-source heat pumps (GSHPs) have been proven to be the most efficient solution on equal boundary conditions. Despite this, in most EU states’ markets, GSHPs hold only a small market share with respect to air-source heat pumps. In this paper, the state of art and possible future developments of GSHP technology have been reviewed together with a focus on the potential of such technology, most of all on the refurbishment of existing buildings, and on the obstacles to its spread. The state of art of borehole heat exchangers has been studied, focusing on the parameters characterizing the outside pipe and the pipe itself, i.e., pipe and grout materials. Moreover, an overview on the last developments involving refrigerants and secondary fluids is given. Finally, the design and control strategies of GSHPs have been reviewed.

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Section: Design and Control Optimizationmentioning

confidence: 99%

State of the Art, Perspective and Obstacles of Ground-Source Heat Pump Technology in the European Building Sector: A Review

et al. 2022

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“…It should be noted that this work needs to determine the number of boreholes in combination with the load of the proposed building in the region. If the number of boreholes is insufficient, geothermal boreholes can be supplemented at an appropriate position, but it should be noted that the distance between the boreholes cannot be less than 5 m, otherwise it will cause cold and hot accumulation effect [51][52].…”

Section: Based On Vertical Drilling Technologymentioning

confidence: 99%

Research on goaf treatment and geothermal comprehensive utilization technology in coal mining subsidence area

Yang

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Goaf treatment and comprehensive utilization of geothermal energy are great significance to the restoration of land resources and sustainable development of energy in coal mining subsidence areas. In this paper, goaf treatment technology and geothermal energy development technology are reviewed in detail. Among them, the goaf treatment technology mainly includes: caving treatment method, filling treatment method, support method, closed isolation method and joint treatment method. Geothermal development technology mainly includes: shallow ground source heat pump technology, coaxial casing development technology, pumping and reinjection technology, directional drilling technology, U-type precision docking drilling technology. The systematic idea of filling treatment and geothermal comprehensive utilization in coal mining subsidence area is proposed, and the technology is described in detail through three cases. The research results can provide innovative inspiration for subsidence control and comprehensive utilization of geothermal energy in coal mining subsidence area, and has broad application prospects.

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“…Artificial intelligence is a thriving field with increasing applications in GSHP. The use of ANN now concerns GSHP coefficient of performance prediction (Cho et al, 2021;Esen and Inalli, 2009;Puttige et al, 2021;Sun et al, 2015), ideal control strategies for GSHP systems (Wang et al, 2020) and for hybrid GSHP systems (Gang et al, 2014), modeling of borehole heat exchanger (Puttige et al, 2020), construction of g-functions Pasquier, 2018, 2019;Pasquier et al, 2018), inference of thermal parameters (Pasquier and Marcotte, 2020), prediction of disturbed ground temperature (Zhou et al, 2021) and financial optimization of GSHP systems (Dusseault and Pasquier, 2021). The previously mentioned ANN applications mostly involved feedforward neural networks and multi-layer perceptrons.…”

Section: Introductionmentioning

confidence: 99%

Forecasting hydraulic head changes in injection wells using LSTM network

Rose¹,

Pasquier²,

Beaudry³

2022

Proceedings of the IGSHPA Research Track 2022

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Monitoring of well's specific capacity is commonly used to plan maintenance of injection wells in open-loop GSHP and standing column well systems. However, this method does not consider the effect of temperature on hydraulic conductivity. A first step towards an alternative approach that does include the effect of temperature is proposed in this work. We present a long short-term memory network capable of predicting the water level in the injection well of an operating GSHP system. The methodology consists of building a training set using a numerical model. A total of 500 simulations were conducted to evaluate hydraulic head signals under various inlet temperatures and flow rates along with hydraulic and thermal parameters drawn from a uniform distribution. Predictive performance of the artificial neural network is tested on an operational data set. The resulting RMSE between the forecasted and operational data set is 14.8 cm.

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Prediction of the ground temperature variations caused by the operation of GSHP system with ANN

Cited by 17 publications

References 21 publications

State of the Art, Perspective and Obstacles of Ground-Source Heat Pump Technology in the European Building Sector: A Review

State of the Art, Perspective and Obstacles of Ground-Source Heat Pump Technology in the European Building Sector: A Review

Research on goaf treatment and geothermal comprehensive utilization technology in coal mining subsidence area

Forecasting hydraulic head changes in injection wells using LSTM network

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