GX & Decarbonization Research

Sakura Kato, Gabriel Robert

This paper integrates topology optimization with LCA for prefabricated concrete joints, incorporating global warming potential as an objective variable. The optimized design achieves a 30% mass reduction and significant embodied carbon savi…

Yanqun Zhu, Chen Zhang, Xin Qian +2

This review examines next-generation low-carbon construction technologies (low-carbon cements, recycled asphalt, geopolymers) and near-zero carbon operation strategies (intelligent traffic control, EV charging) for highways. It highlights t…

Praveen Bodhanam S, Ramu Baadiga

This paper proposes a life cycle assessment (LCA) framework integrating structural performance metrics to evaluate embodied carbon footprint in flexible pavements. Comparing conventional and geogrid-reinforced pavements, it finds material p…

E. Barnett, D. Dinehart, Steven M. Anastasio

This research develops an automated parametric design tool (APDT) to evaluate and optimize mass timber in early-stage building design. Using Revit and Dynamo, the tool generates building models from parameters like size and stories, calcula…

Zhao Feng, Xu Bin, Wang Chao +2

This study presents a novel LCA methodology for modeling carbon emission reductions in grid construction integrating low-carbon technologies. It covers the entire process from planning to operation, comparing traditional vs. low-carbon syst…

N. Albelwi

This paper introduces FedCarbon, a federated learning-based building stock modeling system that enables collaborative embodied carbon benchmarking without central data aggregation. Using hierarchical federated aggregation with attention-bas…

N. Albelwi

This paper proposes DT-LCAF, a digital twin-enabled LCA framework for real-time embodied carbon optimization in construction. It integrates BIM, IoT, and ML (graph attention networks and reinforcement learning), validated on proxy data from…

R. Freile, Levi Morin Larsen, T. Davies +9

This paper provides a techno-economic assessment of Small Modular Reactors (SMRs) for commercial nuclear ship propulsion, calculating breakeven overnight construction costs compared to conventional fossil-fueled vessels. It identifies opera…

Qin Wang, Sinuo Liu, Wenzheng He

This study develops an optimization model for operational strategies of LNG dual-fuel ships considering carbon tax, ECA policies, fuel price discounts, and methane slip. Using a real vessel on the Far East–Northwest Europe route, it determi…

Suleiman Ibrahim Mohammad, Sultan Alaswad Alenazi, Badrea Al Oraini +5

This study evaluates the techno-economic feasibility of hydrogen-powered ships in coastal freight. It finds economic viability when carbon taxes exceed $90/ton and green hydrogen costs below $4/kg, with 75-90% lifecycle emission reductions.…

Maudlyn I. Victor-Ikoh, Victor Ikoh

This paper qualitatively examines the sustainability of global LNG trade using a PESTLE analysis. Geopolitical tensions, market volatility, social equity, and environmental pressures challenge the industry, while technological innovation si…

Aiman Albatayneh, Mohammad Khwaileh

This study conducts a cradle-to-grave LCA of LNG-to-electricity pathways from five major exporters (US, Qatar, Algeria, Russia, Australia) to European and Asian markets, using GWP20. It finds that only low-leakage LNG (0.2%) offers a clear …

Zhihan Qiu

This paper examines the application of digital technologies (IoT, big data, AI) in ship energy efficiency management to comply with IMO regulations like CII. It analyzes practices in fuel monitoring, route optimization, and power control, i…

Patrick Fitz, Felix Fellner, Raphael Rößlhuemer +2

This paper reviews methanol and ethanol as alternative energy carriers for transport decarbonization. It assesses production pathways, cost trajectories, engine performance, and emissions. Regulatory frameworks across six major markets (EU,…

Rosemary Oluchi Paul-Okore, Moses Adondua Abah, Micheal Abimbola Oladosu +5

This review systematically synthesizes energy efficiency measures in maritime transport across design (hull optimization, propulsion) and operation (speed optimization, weather routing, just-in-time arrival). It highlights digital technolog…

Dan Zhuge, Jingwen Wu, Lu Zhen +2

This study addresses fleet deployment and speed optimization for ships with multiple emission reduction technologies (scrubbers, LNG, methanol) under sulfur regulations and EU ETS. A MINLP model is proposed, and a Benders decomposition algo…

Shiwei Zhou, Xinglong Liu, Feng Zhang +1

This paper proposes a genetic algorithm (GA)-based ship path optimization framework that uses AIS data to incorporate wind speed and ocean currents, aiming to minimize fuel consumption and carbon emissions. Evaluated on real AIS datasets, i…

Achilleas Grigoriadis, Theofanis D. Chountalas, E. Fragkou +2

This study develops updated load-dependent emission factors for ships, incorporating alternative fuels (LNG, methanol, ammonia, biofuels) and emission control technologies. Using statistical analysis of literature data and on-board measurem…

Ruikai Sun, W. Abouarghoub, Emrah Demir +1

This study analyzes the environmental and economic impacts of rerouting shipping due to the 2024 Red Sea crisis. Using AIS data and modeling, it finds GHG emissions increase by 46% and costs by 51% when vessels take the Cape of Good Hope ro…

Doru Coșofreț, Florin Postolache, Adrian Popa +2

This paper proposes a hybrid digital CO2 emission-control technology for maritime transport using physics-informed adaptive speed optimization. It integrates exact optimization (Backtracking, Dynamic Programming) with reinforcement learning…