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Ivan Stoianov
Researcher at Imperial College London
Publications - 87
Citations - 2811
Ivan Stoianov is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Nonlinear system. The author has an hindex of 21, co-authored 77 publications receiving 2352 citations.
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Impact of network sectorisation on water quality management
TL;DR: In this article, the authors investigated the impact of sectorisation of water supply networks (WSNs) on water quality and the likelihood of discolouration incidents using a set of surrogate hydraulic variables and an analysis of the hydraulic condition in pipes.
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Analytical and experimental investigation of chlorine decay in water supply systems under unsteady hydraulic conditions
TL;DR: In this paper, the authors investigated the impact of the dynamic hydraulic conditions on the kinetics of chlorine decay in water supply systems and developed a simulation framework for the scale-adaptive hydraulic and chlorine decay modelling under steady-and unsteady-state flows.
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Regularization of an Inverse Problem for Parameter Estimation in Water Distribution Networks
TL;DR: An accurate hydraulic model of a water distribution network (WDN) is a critical prerequisite for a multitude of operational, optimization, and planning tasks.
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Penalty and relaxation methods for the optimal placement and operation of control valves in water supply networks
TL;DR: This paper investigates the application of penalty and relaxation methods to the problem of optimal placement and operation of control valves in water supply networks, where the minimization of average zone pressure is the objective.
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Network Analysis, Control Valve Placement and Optimal Control of Flow Velocity for Self-Cleaning Water Distribution Systems☆
TL;DR: In this article, the authors considered the proactive control of flow velocities to maximize the self-cleaning capacity of the drinking water distribution systems under normal operations both through a change of the network topology and through an optimal control of pressure reducing valve (PRV) settings.