This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1021–1040 of 4822 papers
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…
小田原市における脱炭素・地域循環共生圏の構築に向けた取り組み
(著者不明)
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…
再生可能エネルギーの導入拡大を支える，電力安定化手法の実証試験
(著者不明)
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 …
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…
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…
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…
Ma X.
This paper proposes a novel multi-variable grey system model with convolution integrals to forecast fossil fuel consumption and greenhouse gas emissions. By handling multiple interrelated variables simultaneously, the model aims to improve …
Kesidou E.
This paper evaluates the trade-offs between digitalization and net zero innovation in SMEs. It analyzes how digitalization impacts net zero goals and explores strategies for balancing both. Specific findings are unclear from the abstract, b…
Terenzi M.
This paper conceptualizes projects as vectors of change that drive transitions toward net-zero sociotechnical systems. It theoretically explores the role of projects in facilitating systemic shifts, though empirical evidence is not detailed…
Daniyaer Paizulamu, Lin Cheng, Kaidi Huang +2
This paper examines the optimal configuration of full-timescale hybrid energy storage systems for industrial microgrids under a two-part tariff. It proposes a method to optimize the combination and capacity allocation of storage technologie…
Jing Gao
This paper focuses on the integrated energy-transportation system in green energy hub ports, exploring coordinated scheduling optimization directions. It aims to enhance renewable energy utilization and transport efficiency, contributing to…
Alief Muhammad, Hartawan Abdillah, Mas Ahmad Baihaqi +1
This article highlights the 'green transition dilemma' where renewable energy expansion can cause new environmental pressures such as land-use change, biodiversity loss, and resource depletion. It argues that sustainability should be assess…
Dan Du, Junbing Huang, Yimin Lu
This study analyzes the association between cross-regional electricity transmission and provincial energy transition in China using panel data from 2000-2018. Higher transmission intensity is linked to lower carbon-weighted energy consumpti…
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