Towards sustainable management: 2D modelling of a self-cleaning system to improve geometry in front of the flushing gate

Ruiloba, L. C. ; Gómez, M. ; Russo, B. ; Choi, G. ; Jang, D.

Resumen: This paper aims to show how numerical modelling based on 2D SWE can be used to analyze the cleaning effectiveness of flushing waves in storm tanks. The case study under consideration is an existing storm tank located in Badalona, a municipality of Barcelona, Spain. Storm tank cleaning systems are critical features that must be carefully addressed. If not appropriately addressed, operation and maintenance work costs can drastically increase. There are numerous currently available technologies for cleaning storage tanks. However, no specific guide on this field has been identified. References are provided by the manufacturers through their commercial catalogues. Generally, this information is not based on experimental or numerical experiences or results have not been published in the literature of scientific papers. In this study, a public domain software (IBER) was used to develop 2D hydraulic analysis of the selected tank. The results obtained show how the phenomenon of recirculation is acting in some areas of the lane. This implies a dissipation of energy, thus causing difficulties in terms of cleaning procedures. Furthermore, two new scenarios have been tested to determine how a different lane width might affect hydrodynamic behavior. A newly suggested geometry for the existing lane of the tank is proposed by using the numerical modeling software. The proposed geometry in the current pilot tank achieves higher velocities and avoids recirculation areas. The results demonstrate that numerical modelling of these types of processes is possible with the computer models available (commercial codes) and can be used to optimize cleaning system design.

Idioma: Inglés

DOI: 10.3390/su10030745

Año: 2018

Publicado en: SUSTAINABILITY 10, 3 (2018), 745
ISSN: 2071-1050

Factor impacto JCR: 2.592 (2018)

Categ. JCR: ENVIRONMENTAL SCIENCES rank: 105 / 250 = 0.42 (2018) - Q2 - T2
Categ. JCR: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY rank: 3 / 6 = 0.5 (2018) - Q2 - T2
Categ. JCR: ENVIRONMENTAL STUDIES rank: 44 / 116 = 0.379 (2018) - Q2 - T2
Categ. JCR: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY rank: 20 / 35 = 0.571 (2018) - Q3 - T2

Factor impacto SCIMAGO: 0.549 - Geography, Planning and Development (Q2) - Renewable Energy, Sustainability and the Environment (Q2) - Management, Monitoring, Policy and Law (Q2)

Tipo y forma: Artículo (Versión definitiva)