GX & Decarbonization Research

Wagenvoort B, Lafond F, Dyer J +1

Using a database of 120 mature technologies, this study shows that technology diffusion follows a universal S-curve shape and that a Bayesian Bertalanffy-Richards process provides accurate forecasts. Predictions for solar PV and wind sugges…

Sogut MZ, Kilikevičius A

This study optimizes multiple heat demands in a textile enterprise, showing that improving cogeneration efficiency by about 17% can reduce fossil fuel consumption by approximately 76%. A holistic thermal management model was developed to en…

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This paper introduces the activities of a research center dedicated to decarbonizing the shipping industry. It overviews initiatives contributing to sustainable shipping transition, including development and demonstration of zero-carbon fue…

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This paper introduces Odawara City's efforts to build a decarbonized and regional circular sphere. It presents a local government-led model for promoting green transformation through renewable energy adoption and regional resource circulati…

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This paper reports a demonstration test of power stabilization methods to support the expansion of renewable energy. While specific methods and results are unclear, it likely provides technical insights into grid stability, a key challenge …

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This paper quantitatively evaluates greenhouse gas emissions, natural resource waste, and economic losses associated with food loss in Japan. It demonstrates that reducing food loss contributes to climate change mitigation and resource effi…

(著者不明)

This paper focuses on the development of synthetic fuel technologies toward a carbon-neutral society. Synthetic fuels can leverage existing infrastructure and contribute to decarbonizing the transport sector. It likely discusses technical c…

Rupture, Signal

This paper applies the SignalRupture structural grammar to electricity systems, analyzing the race between rising demand (especially from AI data centers) and supply capacity. Based on NERC forecasts, it projects over 224 GW of additional p…

Dr. V. SRIDEVI, STEPHY ANGELIN J, Dr. SANJAY L. KURKUTE +1

This book comprehensively explores AI applications for smart, efficient, and sustainable energy systems. It covers machine learning for demand forecasting, optimization, renewable integration, smart grids, IoT monitoring, predictive mainten…

Hanto, Jonathan, Diesing, Alena, Löffler, Konstantin

This dataset supports multi-objective optimization of cost and social acceptance in Germany's energy transition. It includes regional cost and public acceptance data for renewable energy deployment, useful for policy-making and regional pla…

Alcolea, Andrés, Meier, Peter

The VESTA-CH project addresses long-term performance degradation in high-temperature thermal energy storage (HTS) systems by investigating coupled thermo-hydro-chemical processes. It combines numerical modeling with experiments and field ob…

fumagali, junior, Gonçalves Montenegro, Rosa Livia, Arcanjo, Gabriel Arcanjo

This study examines the economic dimension of energy transition by analyzing the integration and persistence of ethanol, gasoline, and crude oil markets in Brazil using Bayesian VAR and BEKK-MGARCH models. It finds that biofuel expansion do…

Mehmetaj, Ilir

A three-part conceptual proposal applying a seawater thermal cascade (HCTGS) to US water, energy, and industrial siting challenges. Magnesium combustion and seawater steam condensation drive multi-stage production of fresh water, power, hea…

Yash Dubey, Katrin Sievert

This repository provides code accompanying a paper on the cost-effectiveness of synthetic fuels and CO2 removal (DACCS/DACCU) for net-zero aviation. It supports analysis of technology pathways and cost optimization for aviation decarbonizat…

Jiachang Yuan

Under China's Dual Carbon Goals, this study proposes a three-tier collaborative optimization framework for renewable energy supply chains, integrating blockchain-based carbon data pools, multi-objective optimization, dynamic carbon taxation…

AQUINO, JESUNINO

This dataset and code provide a streamlined life-cycle carbon screening model for Philippine grid decarbonisation. The model compares life-cycle carbon emissions of power generation technologies, aiding policy and investment decisions. It s…

EsteVeroMScThesis

This repository provides a calculation spreadsheet for building decarbonization pathways, Python code to determine the number of feasible pathways, and supplementary materials (PDF). It applies climate wedges analysis to evaluate multiple d…

Gideon Sadikiel Mmbando

This review summarizes recent findings on biochar application in rice paddies as a strategy to reduce greenhouse gas emissions, particularly methane and nitrous oxide. Biochar offers dual benefits of soil improvement and carbon sequestratio…

Rafi Herfini, Suhari Pranyoto, Eka Puspitawati

This study develops a risk-adjusted MCDA model integrating financial, financial-risk, and non-financial criteria to prioritize decarbonization projects at Indonesia's national energy company, Pertamina. Analyzing 46 initiatives, it shows th…

Anton L.L.

This paper proposes a probabilistic deliverability assessment method for distributed energy resources (DER) using scenario-based AC optimal power flow. It enhances grid operation reliability under uncertainty and facilitates renewable energ…