Utilizing Wastewater Tunnels as Thermal Reservoirs for Heat Pumps in Smart Cities

The performance of heat pump systems for heating and cooling heavily relies on the thermal conditions of their reservoirs. This study introduces a novel thermal reservoir, detailing a 2017 project where the Municipality of Stavanger installed a heat exchanger system on the wall of a main wastewater tunnel beneath the city center. It provides a comprehensive account of the system’s design, installation, and performance, and presents an Artificial Neural Network (ANN) model that predicts heat pump capacity, electricity consumption, and outlet temperature across seasonal variations in wastewater temperatures. By integrating domain knowledge with the ANN, this study demonstrates the model’s capability to detect anomalies in heat pump operations effectively. The network also confirms the consistent performance of the heat exchangers from 2020 to 2024, indicating minimal fouling impacts. This study establishes wastewater heat exchangers as a safe, effective, and virtually maintenance-free solution for heat extraction and rejection.

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Institutions

Publication Details

Journal
Energies
Published
2024-09-26
DOI
https://doi.org/10.3390/en17194832
Citations
4
Primary Topic
Geothermal Energy Systems and Applications
Type
article
Field-Weighted Citation Impact
0.41

Funders

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article

Utilizing Wastewater Tunnels as Thermal Reservoirs for Heat Pumps in Smart Cities

Mohsen Assadi, Fredrik Skaug Fadnes
4 citations
Energies
Geothermal Energy Systems and Applications
0.41
article

Utilizing Wastewater Tunnels as Thermal Reservoirs for Heat Pumps in Smart Cities

Mohsen Assadi, Fredrik Skaug Fadnes
article en
4 citations

Abstract

The performance of heat pump systems for heating and cooling heavily relies on the thermal conditions of their reservoirs. This study introduces a novel thermal reservoir, detailing a 2017 project where the Municipality of Stavanger installed a heat exchanger system on the wall of a main wastewater tunnel beneath the city center. It provides a comprehensive account of the system’s design, installation, and performance, and presents an Artificial Neural Network (ANN) model that predicts heat pump capacity, electricity consumption, and outlet temperature across seasonal variations in wastewater temperatures. By integrating domain knowledge with the ANN, this study demonstrates the model’s capability to detect anomalies in heat pump operations effectively. The network also confirms the consistent performance of the heat exchangers from 2020 to 2024, indicating minimal fouling impacts. This study establishes wastewater heat exchangers as a safe, effective, and virtually maintenance-free solution for heat extraction and rejection.

EnergiesVol. 17(19)
Norconsult (Norway) (NO), University of Stavanger (NO)
Norges Forskningsråd
Openalex Percentile: Top 47%
Geothermal Energy Systems and Applications
0.41
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Utilizing Wastewater Tunnels as Thermal Reservoirs for Heat Pumps in Smart Cities — Mohsen Assadi, Fredrik Skaug Fadnes · Energies (2024) | TGRS Research Map | TGRS