Optimization of operating parameters of a ground coupled heat pump system by Taguchi method

Esen, Hikmet; Turgut, Emre

doi:10.1016/j.enbuild.2015.08.042

Cited by 48 publications

(10 citation statements)

References 28 publications

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“…Various studies and reviews have been conducted on the design, testing, optimisation, and simulation of GHEs although most researchers focused on monitoring GHEs coupled with ground source heat pumps (GSHP) to maintain steady and comfortable indoor temperatures (Ball, Fischer and Hodgett, 1983;Leong, Tarnawski and Aittomäki, 1998;Hepbasli, Akdemir and Hancioglu, 2003;İnallı and Esen, 2004;Florides and Kalogirou, 2007;Gan, Riffat and Chong, 2007;Cui, Yang and Fang, 2008;Koyun, Demir and Torun, 2009;Esen, Inalli and Esen, 2009;Wu et al, 2010;Garcia Gonzalez et al, 2012;Garber, Choudhary and Soga, 2013;Sarbu and Sebarchievici, 2014;Sivasakthivel, Murugesan and Thomas, 2014;Bertermann, Klug and Morper-busch, 2015;Naylor, Ellett and Gustin, 2015;Esen and Turgut, 2015;Kim et al, 2016aKim et al, , 2016bLuo et al, 2016;Esen, Esen and Ozsolak, 2016;Stylianou et al, 2017;Wei et al, 2017). Although there is a need to be able to calculate HGHE performance, there has been less progress in developing validated models, and consequently design methods remain relatively simplified with design data tables and charts often being used in practice (Rees, 2016).…”

Section: 1 Backgroundmentioning

confidence: 99%

Recycling construction and industrial landfill waste material for backfill in horizontal ground heat exchanger systems

Al-Ameen

Ianakiev

Evans

2018

Energy

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This research experimentally and numerically investigates the possibility of recycling some low cost construction and industrial waste landfills materials as potential backfills in horizontal ground heat exchangers (HGHE). The aim of this study was to compare the temperature distribution development in different backfill materials with respect to time. The tested materials include sand, crushed basalt, broken brick, crushed concrete, and metallic by-products including copper slag, aluminium slag, mill-scale and iron ores (fine and pellets). Initial thermal testing on these materials in an environmental climatic chamber indicated concrete and crushed brick had similar performance to sand, whereas metallic materials had better performance by up to 77% improvement compared to sand. Various percentages of the backfill material (20, 40, 60, 80 and 100%) blended with the remaining percentage of sand showed that the higher the percentage addition of the waste material, the better the heat storage of the enhanced sand. Particle size distribution was also a significant parameter in backfill selection, where medium sized particle sizes (1.18-2 mm) performed 92% better compared to course and fine gradations of the same material. An experimental setup of a HGHE system was then constructed and filled with the best performing backfill materials to determine the heat storage and release processes on the thermal performance of the system. The paper also reports results from a transient three-dimensional finite volume model developed in ANSYS Fluent 17.2 computational fluid dynamic (CFD) software of a thin section of a HGHE. The experimental and numerical model were used to predict and analyse the temperature distribution developing within the surrounding backfill material with respect to charging (heating) and discharging (extracting heat) modes of the HGHE. Results obtained from both experimental and numerical studies show the temperature range and duration of hot water produced from the system were in line with low temperature space heating guidelines and that mill-scale, copper slag and aluminium slag were the best backfill materials, where the thermal capacity of the HGHE system can be doubled using these materials, compared to the use of sand alone. Congruence between the numerical simulations and experimental data was found.

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Section: 1 Backgroundmentioning

confidence: 99%

Recycling construction and industrial landfill waste material for backfill in horizontal ground heat exchanger systems

Al-Ameen

Ianakiev

Evans

2018

Energy

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“…Hussain et al [25] conducted a co-simulation integrating fuzzy controller and evolutionary optimization algorithm to moderate the energy use while maintaining indoor environment represented by predicted mean vote and predicted percentage dissatisfied indices. Esen et al [26] performed experimental and optimization studies to investigate effects of various parameters on the performance of vertical ground coupled heat pump, including the depth of boreholes and temperatures of condenser and evaporator.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Optimization for Capacity Control of Multiple Ground Source Heat Pump System in Heating Mode

Wang

Kang

et al. 2020

Energies

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With the rapid development of ground source heat pump (GSHP) system, energy saving measures are of special interest for practice. In order to meet heating demand, capacity control of GSHP system can be carried out by regulating either part load ratio (PLR) or supply water temperature. A data-driven optimization approach was developed and applied on a school building in heating mode, which aims at minimizing energy consumption without compromising thermal comfort. An artificial neural network (ANN) model of the GSHP system was proposed and trained with experimental data as well as simulated data of a validated physics-based model, which was employed for data supplement to cover more data variations. The multi-objective optimization problem was then solved using genetic algorithm. The results suggest the optimal operation strategy for either continuous or staged capacity control regarding heating demand variation. With the proposed optimal control strategy, energy savings as compared to existing strategy can be up to 22% for a single month and 14% for the whole heating season.

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“…In previous studies, the optimal utilization of the space cooling and heating of the GSHP systems were evaluated with some optimization techniques. The various process parameters of vertical ground coupled heat pump (VGCHP) system were performed by Esen and Turgut [6]. The process parameters in VGCHP for varying depth of boreholes and temperatures of condenser and evaporator were optimized by using Taguchi method.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters of Ground Source Heat Pumps for Space Heating Applications with Taguchi Method

Özdemir¹

2018

Journal of Polytechnic

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Optimization of operating parameters of a ground coupled heat pump system by Taguchi method

Cited by 48 publications

References 28 publications

Recycling construction and industrial landfill waste material for backfill in horizontal ground heat exchanger systems

Recycling construction and industrial landfill waste material for backfill in horizontal ground heat exchanger systems

Data-Driven Optimization for Capacity Control of Multiple Ground Source Heat Pump System in Heating Mode

Optimization of Process Parameters of Ground Source Heat Pumps for Space Heating Applications with Taguchi Method

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