Hajabdollahi Ouderji, Z., Gupta, R. , Mckeown, A., Yu, Z. , Smith, C. , Sloan, W. and You, S. (2023) Integration of anaerobic digestion with heat pump: machine learning-based technical and environmental assessment. Bioresource Technology, 369, 128485. (doi: 10.1016/j.biortech.2022.128485)
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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.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | You, Dr Siming and Hajabdollahi Ouderji, Dr Zahra and Mckeown, Andrew and Gupta, Dr Rohit and Sloan, Professor William and Smith, Professor Cindy and Yu, Professor Zhibin |
Authors: | Hajabdollahi Ouderji, Z., Gupta, R., Mckeown, A., Yu, Z., Smith, C., Sloan, W., and You, S. |
College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | Bioresource Technology |
Publisher: | Elsevier |
ISSN: | 0960-8524 |
ISSN (Online): | 1873-2976 |
Published Online: | 12 December 2022 |
Copyright Holders: | Copyright © 2022 The Authors |
First Published: | First published in Bioresource Technology 369: 128485 |
Publisher Policy: | Reproduced under a Creative Commons License |
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