A Kaleidoscope of Renewable and Sustainable Energy

Jenssen, Till

doi:10.1007/978-1-4471-5137-1_8

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…Horizontal heat exchanger geothermal energy systems harness the thermal energy stored below the earth's surface to provide efficient heating and cooling [9]. These systems are mainly composed of pipes arranged horizontally at a relatively shallow depth, usually between 1 and 2 m [10].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context

Díaz-Longueira,

Rubiños,

Arcano-Bea

et al. 2024

Energies

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Growing dependence on fossil fuels is one of the critical factors accelerating climate change, a global concern that can destabilize ecosystems and economies worldwide. In this context, renewable energy is emerging as a sustainable and environmentally responsible alternative. Among the options, geothermal energy stands out for its ability to provide heat and electricity consistently and efficiently, offering a feasible solution to reduce the carbon footprint and promote more sustainable development in a globalized economy. In this work, a machine learning approach is proposed to predict the behavior of a horizontal heat exchanger from a bioclimatic house. First, a correlation analysis was conducted for optimal feature selection. Then, several regression techniques were applied to predict the output temperature of the geothermal exchanger. Satisfactory prediction results were obtained in different scenarios over the whole dataset. Also, a significant correlation between several sensors was concluded.

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Section: Introductionmentioning

confidence: 99%

An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context

Díaz-Longueira,

Rubiños,

Arcano-Bea

et al. 2024

Energies

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“…The most typical renewable sources are solar and wind energy; but nowadays, others like ocean energy, are increasing their use [32]. Some research works are oriented to optimize or develop new methods on the renewable energy field, with the aim of increasing the installations' performance [30]. Despite people trying to preserve the environment, the installations based on renewable energies must usually have, at least, the same cost as non-renewable solutions to ensure their installation [30].…”

Section: Introductionmentioning

confidence: 99%

“…Some research works are oriented to optimize or develop new methods on the renewable energy field, with the aim of increasing the installations' performance [30]. Despite people trying to preserve the environment, the installations based on renewable energies must usually have, at least, the same cost as non-renewable solutions to ensure their installation [30]. The above reason concerns to installations based on heat pump with geothermal heat exchangers [30].…”

Section: Introductionmentioning

confidence: 99%

“…Despite people trying to preserve the environment, the installations based on renewable energies must usually have, at least, the same cost as non-renewable solutions to ensure their installation [30]. The above reason concerns to installations based on heat pump with geothermal heat exchangers [30]. These installations carry out large investments with relatively uncertain profitability and, their payback periods are usually very long [40].…”

Section: Introductionmentioning

confidence: 99%

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An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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The heat pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is an element with high probability of failure due to the fact that it is an outside construction and also due to its size. In the present study, a novel intelligent system was designed to detect faults on this type of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements of one year. It was based on classification techniques with the aim of detecting failures in real time. Then, the model was validated and verified over the building; it obtained good results in all the operating conditions ranges.

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A Kaleidoscope of Renewable and Sustainable Energy

Cited by 2 publications

References 4 publications

An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context

An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

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