Hajabdollahi Ouderji, Z;
Gupta, R;
Mckeown, A;
Yu, Z;
Smith, C;
Sloan, W;
You, S;
(2023)
Integration of anaerobic digestion with heat Pump: Machine learning-based technical and environmental assessment.
Bioresource Technology
, 369
, Article 128485. 10.1016/j.biortech.2022.128485.
Preview |
Text
Ouderji & Gupta et al..pdf - Published Version Download (5MB) | Preview |
Abstract
Anaerobic digestion (AD)-based biogas production mitigates the environmental footprint of organic wastes (e.g., food waste and sewage sludge) and facilitates a circular economy. The work proposed an integrated system where the thermal energy demand of an AD is supplied using an air source heat pump (ASHP). The proposed system is compared to a baseline system, where the thermal energy is supplied by a natural gas-based heating system. Several machine learning models are developed for predicting biogas production, among which the Gaussian Process Regression (GPR) showed a superior performance (R2 = 0.84 and RMSE = 0.0755 L gVS−1 day−1). The GPR model further informed a thermodynamic model of the ASHP, which revealed the maximum biogas yield to be approximately 0.585 L.gVS−1.day−1 at an optimal temperature of 55 °C (thermophilic). Subsequently, life cycle assessment showed that ASHP-based AD heating systems achieved 28.1 % (thermophilic) and 36.8 % (mesophilic) carbon abatement than the baseline system.
| Type: | Article |
|---|---|
| Title: | Integration of anaerobic digestion with heat Pump: Machine learning-based technical and environmental assessment |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.biortech.2022.128485 |
| Publisher version: | https://doi.org/10.1016/j.biortech.2022.128485 |
| Language: | English |
| Additional information: | © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Bioenergy, Data-driven Models, Life Cycle Assessment, Net-zero, Waste Management |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10163174 |
Archive Staff Only
 |
View Item |
