Development of a protocol to optimize electric power consumption and life cycle environmental impacts for operation of wastewater treatment plant
| Autor: | Yejin Kim, Min Soo Kim, Hyosoo Kim, Changwon Kim, Wenhua Piao, Sunja Cho |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Health Toxicology and Mutagenesis media_common.quotation_subject 0208 environmental biotechnology Conservation of Energy Resources 02 engineering and technology Environment Wastewater 010501 environmental sciences Waste Disposal Fluid 01 natural sciences Water Quality Environmental Chemistry Environmental impact assessment Quality (business) Effluent Life-cycle assessment 0105 earth and related environmental sciences media_common Consumption (economics) business.industry Environmental engineering General Medicine Models Theoretical Pollution 020801 environmental engineering Reliability engineering Waste Disposal Facilities Neural Networks Computer Water quality Electricity Electric power business |
| Zdroj: | Environmental Science and Pollution Research. 23:25451-25466 |
| ISSN: | 1614-7499 0944-1344 |
| DOI: | 10.1007/s11356-016-7771-1 |
| Popis: | In wastewater treatment plants (WWTPs), the portion of operating costs related to electric power consumption is increasing. If the electric power consumption decreased, however, it would be difficult to comply with the effluent water quality requirements. A protocol was proposed to minimize the environmental impacts as well as to optimize the electric power consumption under the conditions needed to meet the effluent water quality standards in this study. This protocol was comprised of six phases of procedure and was tested using operating data from S-WWTP to prove its applicability. The 11 major operating variables were categorized into three groups using principal component analysis and K-mean cluster analysis. Life cycle assessment (LCA) was conducted for each group to deduce the optimal operating conditions for each operating state. Then, employing mathematical modeling, six improvement plans to reduce electric power consumption were deduced. The electric power consumptions for suggested plans were estimated using an artificial neural network. This was followed by a second round of LCA conducted on the plans. As a result, a set of optimized improvement plans were derived for each group that were able to optimize the electric power consumption and life cycle environmental impact, at the same time. Based on these test results, the WWTP operating management protocol presented in this study is deemed able to suggest optimal operating conditions under which power consumption can be optimized with minimal life cycle environmental impact, while allowing the plant to meet water quality requirements. |
| Databáze: | OpenAIRE |
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