GX & Decarbonization Research

Тетяна Курбатова, Liliana Smiech, Iryna Mykolaivna Sotnyk +3

Using OLS on Ukrainian macro data (2002–2021), this study assesses how investment, energy efficiency, energy costs, and renewables drive CO₂ emissions. Macro energy efficiency emerges as the strongest decarbonization driver, while gross cap…

Yunita Sopiana, Dyah Maharani, Sutri Destemi Elsi +2

This study analyzes Indonesia's energy policy as a contested arena where decarbonization, power relations and distributive justice collide. Coal generates state revenue and energy security while concentrating socio-ecological costs, and nic…

Alavi SE

This paper reviews the role of deep learning and optimization techniques in smart grids integrating IoT and AI. LSTM networks, reinforcement learning, and Particle Swarm Optimization are presented as solutions for renewable variability, pea…

Mohseni Zonouzi, Seyyed Jamaledin, Aminpour Ghahramani, Pegah

Using a balanced panel of eight high-geopolitical-risk economies (2011–2023) and a gamma log-link GLM, this study tests whether industrial robot adoption drives renewable energy uptake. Robot density, labor participation, and R&D spending s…

Soares Siqueira, Abel, Tejada-Arango, Diego A., Morales-España, Germán +7

The Tulipa Energy Model is a Julia package for energy planning that integrates electricity markets with sector coupling. As an open-source optimization tool, it supports analysis of decarbonization pathways across power and other sectors (h…

Renee Obringer, Mir Matin, Kaveh Madani

This policy brief examines how domain-informed AI can complement traditional long-term energy infrastructure planning under climate uncertainty. It argues that stationary historical weather data and rigid models expose public investments to…

(著者不明)

Using ARDL on 1976–2024 time-series data, this study examines how energy consumption affects Pakistan's industrial growth. Energy use, trade openness, and labor participation boost industrial value added, while inflation harms it. It stress…

G. Okara

This is a review of the 4th edition of a practitioner-focused handbook on oil and gas law, covering contracts, regulation and risk. It addresses geopolitical fragmentation, just transition, sanctions compliance, ESG and climate litigation a…

(著者不明)

This study proposes a route-scale collision risk framework for wind-assisted ship propulsion (WASP), evolving CPA into a spatio-temporal pre-filter for Safe Boundary methods. Using the SOMOS optimal routing simulator over one year on the Sa…

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This paper surveys four decarbonization pathways for hard-to-abate heavy industry — hydrogen-based reduction and combustion, direct electrification of process heat, CCUS, and clinker substitution/mineralization — from a process-engineering …

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This study uses AI to optimize hydrothermal liquefaction (HTL) of macroalgae for biofuel production. A bio-oil yield of 23.5% was achieved at 280°C, 30 min, 15% solids, with AI prediction error under 2%. The biochar (55% carbon) supports so…

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This paper analyzes Ukraine's green transition as simultaneously an environmental, macroeconomic, security, and EU-integration agenda. It argues decarbonization, energy efficiency, renewables, and industrial modernization are prerequisites …

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Proposes an integrated framework for transforming ports into sustainable energy hubs, combining renewable generation, battery storage, green hydrogen, port microgrids, and intelligent energy management. It explicitly addresses Mediterranean…

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A machine-learning-assisted framework co-optimizes electricity–heat–hydrogen–storage coupling in grid-connected integrated energy systems. Using K-means and Latin hypercube sampling for scenario generation, a MILP co-optimizes cost, carbon …

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This review integrates algae hydrothermal liquefaction (HTL) biocrude upgrading with green hydrogen for sustainable aviation fuel (SAF). It links cultivation, catalytic upgrading, hydrogen-assisted hydroprocessing, and TEA/LCA across the va…

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This paper provides a cross-technology quantitative assessment of hydrogen, solar thermal, bioenergy, and CO2 conversion, using unified techno-economic metrics. Hydrogen offers 66–95% global warming reduction and $10.0–15.7 trillion in miti…

(著者不明)

Using Ghana's Parliament House as a case study, this paper assesses the technical and economic feasibility of rooftop/carport solar PV-grid integration and green hydrogen/ammonia production via GIS and Python simulation. A 6.3 MW solar syst…

(著者不明)

This roadmap integrates fluid dynamics, combustion chemistry, advanced diagnostics, and machine learning to enable the low-carbon transition. It highlights hydrogen, ammonia, and sustainable aviation fuels as key energy carriers, alongside …

(著者不明)

This PRISMA-based review synthesizes literature on Industry 5.0, the 10R circular framework, ESG mandates, and deep decarbonization technologies. It argues that while digital twins and AI optimize energy efficiency, long-term net-zero requi…

Taize Yu, Mingxuan Lyu, Ruiling Qu +5

Using an extended STIRPAT model with ridge regression, this study analyzes determinants of EU-27 energy-related carbon emissions (1996–2023), incorporating geopolitical risk and energy transition. Four scenarios show GDP and unemployment po…