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Denny K. S. Ng

Researcher at Heriot-Watt University

Publications -  246
Citations -  5881

Denny K. S. Ng is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Biorefinery & Pinch analysis. The author has an hindex of 41, co-authored 227 publications receiving 5089 citations. Previous affiliations of Denny K. S. Ng include University of Nottingham Malaysia Campus & De La Salle University.

Papers
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Review of evolution, technology and sustainability assessments of biofuel production

TL;DR: In this article, the state of the art of technologies and assessment methods on economic performance, safety, health and environment (SHE) as well as social impact for biofuel production are reviewed.
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Synthesis of Direct and Indirect Interplant Water Network

TL;DR: In this work, two different IPWI schemes, that is, “direct” and “indirect” integration are analyzed using mathematical optimization techniques and a mixed integer linear program (MILP) model is formulated and solved to achieve a globally optimal solution.
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Extended pinch targeting techniques for carbon-constrained energy sector planning

TL;DR: In this article, a pinch targeting approach is presented to locate the minimum CO2-neutral and low-carbon sources for energy sector planning, and a novel automated targeting approach to determine the optimum allocation of energy sources in a segregate planning scenario where energy targets for different sub-sectors in the planning horizon are located.
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Pinch analysis approach to carbon-constrained planningfor sustainable power generation

TL;DR: In this paper, a graphical pinch-based methodology for planning retrofits for carbon capture and storage (CCS) in the power generation sector is presented, which is used to determine the minimum extent of CCS retrofit that meets the sectoral carbon footprint targets.
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Automated Targeting Technique for Single-Impurity Resource Conservation Networks. Part 2: Single-Pass and Partitioning Waste-Interception Systems

TL;DR: The proposed automated targeting technique is extended to determine the targets for RCNs with interception placement to identify minimum fresh resource flow rate/cost targets in a resource conservation network (RCN) with material reuse/recycle.