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Zulfan Adi Putra

Researcher at Petronas

Publications -  64
Citations -  828

Zulfan Adi Putra is an academic researcher from Petronas. The author has contributed to research in topics: Membrane & Membrane fouling. The author has an hindex of 12, co-authored 55 publications receiving 497 citations. Previous affiliations of Zulfan Adi Putra include Eindhoven University of Technology & Universiti Teknologi Petronas.

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Tilted membrane panel: A new module concept to maximize the impact of air bubbles for membrane fouling control in microalgae harvesting.

TL;DR: Results show that higher tilting angles (up to 20°) improve permeability of up to 2.7 times of the vertical panel, and operating a one-sided panel is better than a two- sided panel, in which the later involved switching mode.
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Co-electrolysis for power-to-methanol applications

TL;DR: In this paper, the issues facing co-electrolysis and its applications to the power-to-methanol process are reviewed from a process systems engineering viewpoint, and research directions are proposed to accelerate the power to methanol commercialization.
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Recent Development on Electrospun Nanofiber Membrane for Produced Water Treatment: A review

TL;DR: In this article, the authors summarized the research and development starting from the design concepts and the synthesis of nanofiber membranes and how membrane modification is important for effective oil/water separation.
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Tackling membrane fouling in microalgae filtration using nylon 6,6 nanofiber membrane

TL;DR: Developments of nylon 6,6 NFM material with respect to its intrinsic properties, mechanical strength and operational conditions of the panel can still be explored to enhance its competitiveness as a promising fouling resistant membrane material for microalgae filtration.
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Two-Step Optimization Approach for Design of A Total Water System

TL;DR: In this paper, the authors proposed a two-step optimization approach to generate multiple optimum solutions, called "class of good solutions" for the total water system design problem, which utilizes mixed integer linear programming (MILP) and nonlinear programming (NLP).