The Cambridge Centre for Advanced Research and Education in Singapore

Developing Sustainable Chemistry with AI

Conspectus Today we are experiencing an unprecedentedly rapid transformation of science, driven by advances in computing and artificial intelligence (AI). At the same time, there are growing cumulative pressures of climate change impacts that not only affect economies but are cre...

Data-driven decarbonisation strategies for ships, Part 2: Financial projections

This paper investigates the economic feasibility of adopting various low-carbon solutions using a data-driven conceptual design framework applied to a 10-year-old Panamax bulk carrier as an example. This study compares multiple decarbonisation pathways, including hydrogen, ammoni...

From heuristics to data: A parcel-level representation of site planning layouts from multimodal urban evidence

Site-planning layouts are difficult to compare computationally because many planning-relevant relationships are understood through professional judgement, heuristic rules, and regulatory practice rather than directly measurable variables. This study develops the Site Planning Lay...

The Effects of Non-Premixed Hydrogen on Soot Formation in an Ethylene-Fuelled Laboratory-Scale Rich-Quench-Lean Combustor

Abstract This work investigates the effects of hydrogen blending on soot formation and flame structure in a laboratory-scale Rich-Quench-Lean (RQL) burner using ethylene-hydrogen mixtures (0-50 vol.% hydrogen) at constant carbon mass flow rate. Laser-induced incandescence and sin...

Extinction Prediction and Emission Analysis of a Bluff-Body Stabilized Ammonia-Hydrogen-Nitrogen Premixed Flame With Conjugate Heat Transfer

Abstract Ammonia/hydrogen blends represent a promising carbon-free fuel for gas turbine combustors. To minimize the NOx emission, premixed ammonia/hydrogen/nitrogen flames under ultra lean equivalence ratios are investigated. This paper simulates the extinction process of a bluff...