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Energy optimization of a wastewater treatment plant based on energy audit data : small investment with high return
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Borzooei, Sina, Amerlinck, Youri, Panepinto, Deborah, Abolfathi, Soroush, Nopens, Ingmar, Scibilia, Gerardo, Meucci, Lorenza and Chiara Zanetti, Maria (2020) Energy optimization of a wastewater treatment plant based on energy audit data : small investment with high return. Environmental Science and Pollution Research, 27 . pp. 17972-17985. doi:10.1007/s11356-020-08277-3 ISSN 0944-1344.
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WRAP-energy-optimization-wastewater-treatment-plant-based-energy-2-audit-data-Abolfathi-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1185Kb) | Preview |
Official URL: https://doi.org/10.1007/s11356-020-08277-3
Abstract
Ambitious energy targets in the 2020 European climate and energy package have encouraged many stakeholders to explore and implement measures improving the energy efficiency of water and wastewater treatment facilities. Model-based process optimization can improve the energy efficiency of wastewater treatment plants (WWTP) with modest investment and a short payback period. However, such methods are not widely practiced due to the labor-intensive workload required for monitoring and data collection processes. This study offers a multi-step simulation-based methodology to evaluate and optimize the energy consumption of the largest Italian WWTP using limited, preliminary energy audit data. An integrated modeling platform linking wastewater treatment processes, energy demand, and production sub-models is developed. The model is calibrated using a stepwise procedure based on available data. Further, a scenario-based optimization approach is proposed to obtain the non-dominated and optimized performance of the WWTP. The results confirmed that up to 5000 MWh annual energy saving in addition to improved effluent quality could be achieved in the studied case through operational changes only.
| Item Type: | Journal Article | ||||||||
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| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TD Environmental technology. Sanitary engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| Journal or Publication Title: | Environmental Science and Pollution Research | ||||||||
| Publisher: | Springer | ||||||||
| ISSN: | 0944-1344 | ||||||||
| Official Date: | May 2020 | ||||||||
| Dates: |
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| Volume: | 27 | ||||||||
| Page Range: | pp. 17972-17985 | ||||||||
| DOI: | 10.1007/s11356-020-08277-3 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | This is a post-peer-review, pre-copyedit version of an article published in Environmental Science and Pollution Research. The final authenticated version is available online at: https://doi.org/10.1007/s11356-020-08277-3 | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 14 March 2020 | ||||||||
| Date of first compliant Open Access: | 13 March 2021 |
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