GX Research Hub · English
GX & Decarbonization Research
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.
Peer-reviewed🇪🇺 EuropeJournalOpen Research Europe2026#Energy TransitionDOI
Linking impact pathways and transition design: Conceptualising the climate lab model for regional sustainability transition
Tuomo Eskelinen, Antti Kotimaa, Jukka Kähkönen +4
This Open Letter conceptualises Savonia UAS's Climate Lab as a Living-Lab-based regional transition infrastructure for circular economy and climate adaptation. It integrates transition design, business model innovation and prospective impac…
🇪🇺 EuropeJournal2026#Energy TransitionDOI
Energy Security and Energy Transition
Taimoor Hassan
This chapter examines the tension between energy security and decarbonisation in Central and Eastern Europe through a 'Security–Innovation Trilemma' of security, decarbonisation, and affordability. It traces coal reliance in Poland, Czechia…
🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
The Lithium Triangle and China's Rare Earths: A Narrative Review of the Critical Minerals Geography of the Energy Transition
Zen Revista, 10 GEOGRAPHY
This narrative review maps the critical minerals geography of the energy transition across demand, production, and governance. It concludes that availability is not the binding constraint; governance is, with the lithium triangle's water po…
Peer-reviewed🌍 GlobalJournalThe Journal of Impact and ESG Investing2026#AI × ESGDOI
Are Climate Risk Regulations Evidence-Based? Leveraging Artificial Intelligence to Bridge the Gap between Regulatory Practice and Academic Research
Adeboye Oyegunle, Olaf Weber
This study uses AI and NLP to examine how well 16 major global climate risk banking regulations align with 83 peer-reviewed articles (2017–2024). It finds only moderate alignment (74.2% cosine similarity), showing regulators partially incor…
Peer-reviewed🇺🇸 USAJournalNature Sustainability2026#Energy TransitionDOI
Land-use optimization for food security, bioenergy and forest conservation in Indonesia
Claire V. Squire, Jiehong Lou, Kyle J. Parker +6
A study on optimizing land-use allocation in Indonesia across competing goals: food security, bioenergy production, and forest conservation. It likely quantifies trade-offs between bioenergy expansion and forest protection. Details unavaila…
🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournal2026#Energy EfficiencyDOI
Next-Generation Heat Pump Technology
Kiyoshi Saito
A comprehensive guide to heat pump technology by Kiyoshi Saito of Waseda University. It offers a solutions-driven roadmap for carbon-neutral, circular societies, covering technical, digital, and policy dimensions. Situated in Japan's advanc…
Peer-reviewed🇯🇵 JapanJournalEscalate Economics and Business Journal2026#Disclosure InfrastructureDOI
Strategic Communication Governance at PLN: Integrating Stakeholders, Public Information Disclosure, and Sustainability (PLN Strategic Communication Governance: Stakeholder Integration, Information Transparency, and Sustainability)
Muhammad Fahdillah Fahmi
This study analyzes four formal corporate documents (2024-2025) at Indonesia's state-owned utility PT PLN to examine how strategic communication governance integrates stakeholder management, public information disclosure, and sustainability…
Peer-reviewedJournal2026#Carbon PricingDOI
Spectral Policy: Optimal Climate Strategies When Stability Itself Is a Public Good
Doug Doucette
This paper reframes climate policy around managing the climate system's structural stability, treating a 'resonance gap' as a depreciating public good. It derives a spectral correction to the Hotelling rule, inverse-U carbon tax paths, pric…
Preprint🌍 GlobalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
Simultaneous Industrialization, Decarbonization, and Climate-Proofing in Rapidly Growing Emerging Economies
Hunter Hughes
Emerging economies must industrialize, decarbonize, and climate-proof simultaneously, unable to follow the historical 'build first, clean later' path. In 2024 they drove 82% of global energy demand growth but received only 7% of internation…
Peer-reviewed🌍 GlobalJournalAgriculture2026#Climate ScienceDOI
Life Cycle Greenhouse Gas Balances and Economic Trade-Offs of Oil Palm-Cassava Intercropping: A 25-Year Retrospective Assessment
Jittima Prasara-A, Pornpimon Boonkum, Charongpun Musikavong +1
A 25-year bio-economic simulation in Thailand compared oil palm monoculture, cassava monoculture, and cassava-oil palm intercropping. Intercropping matched oil palm's carbon sequestration (−389.50 tCO2eq/ha) while bridging early-stage incom…
Peer-reviewed🇪🇺 EuropeJournalEnergy Strategy Reviews2026#Energy TransitionDOI
The role of controllable household appliances for effective uptake of digital services by consumers and communities in the energy transition
Gianfranco Chicco, Gulshan Mustafayeva, Angela Russo +13
This review develops a multilevel framework for controllable household appliances across five domains: digital control, flexibility analysis, user engagement, aggregator management, and energy communities. It synthesizes methods, indicators…
DatasetZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
The Hidden Carbon Burden of Digitalization: Rebound Effects Limit Its Global Climate Mitigation Potential
Lin Yang, Simin Huang, Wenhui Zhao +2
This study assesses digitalization's climate mitigation potential by constructing a digitalization index, estimating total factor energy productivity, and applying random forest, SHAP, DeepAR, and counterfactual simulations. It quantifies t…
Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#agricultureDOI
Seaweed-Derived Feed Additives for Enteric Methane Mitigation in Cattle: Efficacy Evidence, Economic Incentives, and Policy Pathways for Smallholder and Commercial Dairy Systems
A. Shaji George
Enteric methane from 1.5 billion cattle is among the largest untackled agricultural GHG sources. This review examines seaweed-based feed additives that inhibit rumen methanogenesis, citing reductions up to 80%+ depending on dose and conditi…
Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
QUANTIFICATION OF CARBON DIOXIDE EMISSIONS FROM DIESEL-POWERED ELECTRICITY GENERATOR USING THE IPCC FUEL CONSUMPTION-BASED EMISSION FACTOR METHOD
Samuel O. Okozi1*, Peter C. Ibeh1, Ernest O. Ezugwu2, Maryrose O. Abba3, Sunday Chukwujindu4
This study quantified annual CO2 emissions from diesel generators at a Nigerian university using the IPCC fuel consumption-based emission factor method (2.68 kg CO2/L). Annual diesel use was 581,882.7 litres, yielding 1,559.4 tonnes CO2/yea…
Peer-reviewed🇺🇸 USAJournalStudies in Economics and Finance2026#Climate FinanceDOI
Energy market and carbon emission spillovers in critical minerals investment: a dynamic connectedness approach
Haibo Wang, Lutfu Sua, Jaime Ortiz +2
Using TVP-VAR on daily data (2013-2023), this study examines volatility spillovers between seven critical mineral ETFs and energy, carbon, sentiment, and infrastructure variables. High-ESG portfolios contribute significantly to shocks; WTI …
Preprint🇪🇺 EuropeResearch Square2026#Energy TransitionDOI
A novel multi-layer energy management system for enhanced grid services by a hybrid energy storage system
Azkue M, Saez-de-Ibarra A, Mascaro V +4
A three-layer hierarchical EMS developed in the HAVEN project uses cloud-based AI to forecast renewable generation, load, and battery remaining useful life, while mid-level optimization and edge-level control coordinate a hybrid storage sys…
PreprintResearch Square2026#Renewable EnergyDOI
AI-Driven Optimization of Renewable Energy Systems in Ethiopia: A National Framework
Dulecha KA, Sime TL, Ararso ZT +3
Proposes an AI framework combining LSTM, XGBoost, and reinforcement learning to optimize Ethiopia's solar, wind, and hydropower systems. Using real data from Ethiopian Electric Power and meteorological agencies, XGBoost achieved 0.91 accura…
Preprint🌍 GlobalResearch Square2026#AI × ESGDOI
Artificial Intelligence in the Development of Greenhouse Gas Emission Inventories for Commuting: A Case Study at the University of Sao Paulo’s Butantan Campus
Maia Vilela M, Baesso Grimoni JA
Using generative AI and 6,700 origin-destination survey responses, this study calculates commuting-related GHG emissions at USP's Butantan Campus. Commuting can exceed Scope 1 and 2 emissions, underscoring the need to include Scope 3 in hig…
PreprintResearch Square2026#AI × ESGDOI
EcoAccel-ITAD: A Telemetry-Driven Diagnostic and Embodied Carbon Accounting Framework for Second-Life Heterogeneous AI Accelerators
Islam MS
EcoAccel-ITAD is a telemetry-driven, non-destructive diagnostic and carbon allocation framework for second-life heterogeneous AI accelerators at decommissioning. It pulls low-level degradation metrics via vendor APIs (NVML, ROCm SMI, OneAPI…
Preprint🇯🇵→🌍 Japan-to-Global🇯🇵 JapanResearch Square2026#Carbon AccountingDOI
Carbon Footprint Assessment of Lubricant Products: A Case Study in Taiwan
Ting C, Ouattara A, Yu L +5
Using Taiwan's PCR-compliant LCA, this study quantifies the cradle-to-grave carbon footprint of two automotive lubricants at ~1.45-1.46 kg CO2eq/kg, dominated by raw material acquisition. An eco-design switch to 100% recycled HDPE packaging…