Large Scale Infrastructure Design Using Evolving Networks
Name
Large Scale Infrastructure Design Using Evolving Networks.pdf
Size
1.2 MB
Format
Adobe PDF
Checksum (MD5)
c2d5694d0eba69dba8a962a32cdbe439
Author(s)
Ishimatsu, Takuto
Alhassan, Abdulaziz
Doufene, Abdelkrim
de Weck, Olivier
Alsaati, Adnan
Strzepek, Kenneth
Alfaris, Anas
Date Issued
June 13, 2020
Abstract
This paper discusses the potential use of graph-theoretic framework in the context of large scale infrastructure design and management. Named as the Interdependent Network Flow with Induced Internal Transformation (INFINIT) model, it could be used to optimize the flow of resources and placement of new facilities (and expansion or retirement of existing facilities) at the individual facility level over multiple dimensions of geographical networks. This model can solve an optimization problem considering both spatial and temporal dimensions: a spatial dimension, where a new infrastructure should be invested at a given time; and a temporal dimension, when a new infrastructure should be invested. We apply the model to study the agriculture water system in Saudi Arabia and evaluate the concept of “Solar Desalination for Agriculture” at a national level. This framework takes into account key performance attributes such as cost, sustainability, optimality, strategic security and robustness as well as the ideal phasing and deployment of the network. These attributes span multiple dimensions such as spatial (network topology), temporal (multiple phases) and technical (available technologies) dimensions. The focus of this research is to demonstrate the applicability of the INFINIT for modeling and assessment of agricultural water system in Saudi Arabia.
Subjects
graph-theoretic framework, large scale infrastructure design and management, national water systems, agriculture
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