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Hon Loong Lam

Researcher at University of Nottingham Malaysia Campus

Publications -  168
Citations -  4446

Hon Loong Lam is an academic researcher from University of Nottingham Malaysia Campus. The author has contributed to research in topics: Biomass & Supply chain. The author has an hindex of 32, co-authored 157 publications receiving 3396 citations. Previous affiliations of Hon Loong Lam include University of Nottingham & Information Technology University.

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Waste-to-wealth: green potential from palm biomass in Malaysia

TL;DR: In this paper, an overview of the green potential of the palm biomass industry, which contributes to Malaysia's economic and sustainable development is given based on the authors' experiences in policy making, research and business development.
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Synthesis of regional networks for the supply of energy and bioproducts

TL;DR: In this paper, a method for the synthesis of regional renewable energy supply chains based on Mixed-Integer Linear Programming (MILP) is presented, which addresses the challenges presented by biomass resources.
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Minimising carbon footprint of regional biomass supply chains

TL;DR: In this article, a new method for regional energy targeting and supply chain synthesis is presented, which is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region.
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Optimisation of regional energy supply chains utilising renewables: P-graph approach

TL;DR: A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region and optimal structure is obtained by minimising the energy cost and carbon footprint.
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Syngas production from palm kernel shell and polyethylene waste blend in fluidized bed catalytic steam co-gasification process.

TL;DR: In this paper, the effect of main variables such as reaction temperature, steam/feedstock (S/F) ratio, polyethylene waste/biomass (P/B) ratio on syngas production was investigated and optimized via Taguchi design of experiment approach.