Heat pumps and our low-carbon future: A comprehensive review

Gaur, Ankita; Fitiwi, Desta Z.; Curtis, John

doi:10.1016/j.erss.2020.101764

Cited by 190 publications

(99 citation statements)

References 184 publications

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“…Temperature, relative humidity and air velocity reading were collected. The performance of the system about the efficiency and recovered energy was evaluated and analysed by adopting the methods in previous studies taking into account equal airflow rates in the intake and exhaust airstreams 9‐14 . With the measured data, the experimental energy recovery efficiency of the tested system can be calculated using Equations ), according to ASHRAE Standard (2003) 34…”

Section: Methodsmentioning

confidence: 99%

“…The performance of the system about the efficiency and recovered energy was evaluated and analysed by adopting the methods in previous studies taking into account equal airflow rates in the intake and exhaust airstreams. [9][10][11][12][13][14] With the measured data, the experimental energy recovery efficiency of the tested system can be calculated using Equations ((3))-(( 6)), according to ASHRAE Standard (2003). 34 The sensible efficiency (ε sen ) is commonly termed as temperature efficiency can be defined as temperature differences between supply and exhaust airstreams (Equation ((3)))…”

Section: Data Attainment and Analysismentioning

confidence: 99%

“…7,8 This process is essential in maintaining acceptable IAQ whilst keeping energy costs low and reducing overall energy consumption and carbon dioxide emissions. 9,10 By categorising these systems into process-based, they can be divided into sensible and total energy recovery systems. 11 A total air-to-air energy recovery system was used in the present study, which is also called as an enthalpy recovery system.…”

Section: Introductionmentioning

confidence: 99%

“…These systems work based on principle and process to recover or exchange heat and/or moisture between two different airstreams at different temperatures and humidities 7,8 . This process is essential in maintaining acceptable IAQ whilst keeping energy costs low and reducing overall energy consumption and carbon dioxide emissions 9,10 …”

Section: Introductionmentioning

confidence: 99%

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Thermal performance of a fixed‐plate air‐to‐air energy recovery system for building application in hot and humid environment

et al. 2021

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An analysis of the performance of a fixed-plate air-to-air energy recovery system on its efficiency and recovered energy for potential building applications in the hot and humid environment was performed. Investigations were executed under controlled laboratory conditions in an energy testing chamber.Tests were carried out with varying operating parameters in terms of airflow rates that ranged from 1.0 to 3.0 m/s, intake air temperature of 28 C, 31 C, 35 C, 40 C and intake relative humidity of 70%, 75% and 80%. The performance was analysed by adopting the calculation methods of the ASHRAE Standard. This study showed that increased airflow rate decreased efficiency.The increase of airflow rate raised the recovered energy of the system. The study indicated that increasing values of intake air temperature (T in ) resulted in the increase of efficiency and recovered energy. A decrease in the efficiency of the system was observed, notably when the intake relative humidity (RH in ) increased.

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Section: Methodsmentioning

confidence: 99%

Section: Data Attainment and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermal performance of a fixed‐plate air‐to‐air energy recovery system for building application in hot and humid environment

et al. 2021

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“…Heat pumps are an efficient way to provide heating and cooling. In recent years, they have become more environmentally and economically viable due to an increasing share of renewable sources in the energy mix and decreasing electricity prices [1,2]. The use of large heat pumps as a part of heat networks has also increased in recent years as they enable the use of low-temperature heat sources, such as waste heat from industry [3].…”

Section: Introductionmentioning

confidence: 99%

Application of Regression and ANN Models for Heat Pumps with Field Measurements

et al. 2021

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Developing accurate models is necessary to optimize the operation of heating systems. A large number of field measurements from monitored heat pumps have made it possible to evaluate different heat pump models and improve their accuracy. This study used measured data from a heating system consisting of three heat pumps to compare five regression and two artificial neural network (ANN) models. The models’ performance was compared to determine which model was suitable during the design and operation stage by calibrating them using data provided by the manufacturer and the measured data. A method to refine the ANN model was also presented. The results indicate that simple regression models are more suitable when only manufacturers’ data are available, while ANN models are more suited to utilize a large amount of measured data. The method to refine the ANN model is effective at increasing the accuracy of the model. The refined models have a relative root mean square error (RMSE) of less than 5%.

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Application of the image‐well method for transient borehole thermal energy storage systems with complex boundaries

Lin,

Rau,

Kurylyk

2024

Heat Trans

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This study introduces a new analytical framework that employs the image‐well method to simulate the spatial and temporal temperature distribution in vertical borehole thermal energy storage (BTES) systems. The model accommodates complex boundary shapes and conditions, including insulation, convection, and constant temperature, without requiring iterative solutions at each time step. The model's accuracy and utility are demonstrated through an application to a borehole heat exchanger cluster arranged in an octagonal shape with insulating boundaries, based on a BTES site in Drake Landing (Canada). Model predictions are validated against a finite element model, showing a root‐mean‐square error of 0.012°C. A global sensitivity analysis highlights the influence of thermal parameters on system performance, identifying the heat flux of the borehole heat exchanger as the most sensitive parameter. Overall, this approach combines the advantages of analytical and numerical techniques to provide a clear and efficient tool for evaluating BTES systems, offering significant potential for advancing sustainable energy solutions.

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Heat pumps and our low-carbon future: A comprehensive review

Cited by 190 publications

References 184 publications

Thermal performance of a fixed‐plate air‐to‐air energy recovery system for building application in hot and humid environment

Thermal performance of a fixed‐plate air‐to‐air energy recovery system for building application in hot and humid environment

Application of Regression and ANN Models for Heat Pumps with Field Measurements

Application of the image‐well method for transient borehole thermal energy storage systems with complex boundaries

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