Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement
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Title: | Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement |
Author: | Longo, Stefano D'Antoni, Benedetto Mirko Bongards, Michael Chaparro, Antonio Cronrath, Andreas Fatone, Francesco Lema Rodicio, Juan Manuel Mauricio Iglesias, Miguel Soares, Ana Hospido Quintana, Almudena |
Affiliation: | Universidade de Santiago de Compostela. Departamento de Enxeñaría Química Universidade de Santiago de Compostela. Instituto de Investigacións Tecnolóxicas |
Subject: | Energy Efficiency | Benchmarking | Key Performance Indicator | Ordinary Least Squares | Data Envelopment Analysis | Wastewater Treatment | |
Date of Issue: | 2016 |
Publisher: | Elsevier |
Citation: | Longo,S., d’Antoni, B.M., Bongards, M., Chaparro, A., Cronrath, A., Fatone, F., Lema, J.M., Mauricio-Iglesias, M., Soares, A., Hospido, A. (2016). Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement. "Applied Energy" , vol. 179, 1251–1268 |
Abstract: | In response to strong growth in energy intensive wastewater treatment, public agencies and industry began to explore and implement measures to ensure achievement of the targets indicated in the 2020 Climate and Energy Package. However, in the absence of fundamental and globally recognized approach evaluating wastewater treatment plant (WWTP) energy performance, these policies could be economically wasteful. This paper gives an overview of the literature of WWTP energy-use performance and of the state of the art methods for energy benchmarking. The literature review revealed three main benchmarking approaches: normalization, statistical techniques and programming techniques, and advantages and disadvantages were identified for each one. While these methods can be used for comparison, the diagnosis of the energy performance remains an unsolved issue. Besides, a large dataset of WWTP energy consumption data, together with the methods for synthesizing the information, are presented and discussed. It was found that no single key performance indicators (KPIs) used to characterize the energy performance could be used universally. The assessment of a large data sample provided some evidence about the effect of the plant size, dilution factor and flowrate. The technology choice, plant layout and country of location were seen as important elements that contributed to the large variability observed |
Publisher version: | http://dx.doi.org/10.1016/j.apenergy.2016.07.043 |
URI: | http://hdl.handle.net/10347/15033 |
DOI: | 10.1016/j.apenergy.2016.07.043 |
ISSN: | 0306-2619 |
Rights: | Copyright © 2016. Published by Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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