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Desarrollo de una Herramienta Digital para la Optimización de Redes de Alcantarillado.

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Title: Desarrollo de una Herramienta Digital para la Optimización de Redes de Alcantarillado.
Alternate Title: Development of a Digital Tool for Sewer Network Optimization.
Authors: Rodríguez-Vivas, David Ernesto1 coord.invambiental@umb.edu.co, Alvarado-Rueda, Simón Andrés1, Pimiento, María Alejandra2
Source: Revista EIA. jul-dic2025, Vol. 22 Issue 44, p1-17. 17p.
Subjects: Genetic algorithms, Heuristic programming, Sewage, Runoff, Digital technology, Sewer pipes, Cost control, Mathematical optimization
Abstract (English): The increasing demand for efficient infrastructure for wastewater and stormwater drainage, driven by the rapid growth of the world population, has posed significant challenges in terms of costs and efficiency for designers and construction companies. In response to this need, this study introduces the development and validation of an innovative digital tool aimed at optimizing the design of sewerage networks, minimizing construction and operation costs. The tool, developed in Python and using genetic algorithms combined with heuristic programming (GAHP), is designed to comply with current Colombian regulations. Its operation is divided into two stages: initially, the Genetic Algorithm identifies the optimal pipe diameters and the convergence of the cost function; subsequently, the Heuristic Programming adjusts the slopes and calculates the hydraulic characteristics along with the regulatory constraints of the network. Tests conducted in a hypothetical scenario demonstrated a notable reduction in total construction and operational costs, achieving a cost of $276,954.01 USD, significantly lower than the original model ($411,096.90 USD), considering that this value includes additional constraints for fair comparison. The developed tool is practical and accessible for hydraulic designers, proving capable of finding cost-effective solutions even under demanding conditions. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): La creciente demanda de infraestructuras eficientes para el drenaje de aguas residuales y pluviales debido al acelerado aumento de la población mundial ha generado desafíos significativos en términos de costos y eficiencia para los diseñadores y empresas constructoras. En respuesta a esta necesidad, este estudio presenta el desarrollo y la validación de una herramienta digital innovadora destinada a optimizar el diseño de redes de alcantarillado, reduciendo al mínimo los costos de construcción y operación. La herramienta, implementada en Python y utilizando algoritmos genéticos combinados con programación heurística (GA-HP), está diseñada para cumplir con las normativas colombianas actuales. Su funcionamiento se divide en dos etapas: inicialmente, el Algoritmo Genético identifica los diámetros óptimos de las tuberías y la convergencia de la función de costos; posteriormente, la Programación Heurística ajusta las pendientes y calcula las características hidráulicas junto con las restricciones por norma de la red. Los ensayos realizados en un escenario hipotético mostraron una notable disminución en los costos totales de construcción y operación, alcanzando un costo de $276.954,01 USD, significativamente inferior al del modelo original ($411.096,90 USD), teniendo en cuenta que este valor es con las restricciones adicionales para su comparación equitativa. La herramienta desarrollada es práctica y accesible para los diseñadores hidráulicos, demostrando ser capaz de encontrar soluciones costoefectivas incluso en condiciones exigentes. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:The increasing demand for efficient infrastructure for wastewater and stormwater drainage, driven by the rapid growth of the world population, has posed significant challenges in terms of costs and efficiency for designers and construction companies. In response to this need, this study introduces the development and validation of an innovative digital tool aimed at optimizing the design of sewerage networks, minimizing construction and operation costs. The tool, developed in Python and using genetic algorithms combined with heuristic programming (GAHP), is designed to comply with current Colombian regulations. Its operation is divided into two stages: initially, the Genetic Algorithm identifies the optimal pipe diameters and the convergence of the cost function; subsequently, the Heuristic Programming adjusts the slopes and calculates the hydraulic characteristics along with the regulatory constraints of the network. Tests conducted in a hypothetical scenario demonstrated a notable reduction in total construction and operational costs, achieving a cost of $276,954.01 USD, significantly lower than the original model ($411,096.90 USD), considering that this value includes additional constraints for fair comparison. The developed tool is practical and accessible for hydraulic designers, proving capable of finding cost-effective solutions even under demanding conditions. [ABSTRACT FROM AUTHOR]
ISSN:17941237
DOI:10.24050/reia.v22i44.1864