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 181–200 of 6146 papers
Huppmann, Daniel, Riahi, Keywan, Clarke, Leon +47
First release of the Scenario Compass Initiative's global emissions pathways ensemble, with global timeseries plus R5/R9/R10 regional aggregates and meta indicators, including ScenarioMIP v0.1 scenarios. It provides updated mitigation bench…
Hunt, Julian David, Zakeri, Behnam, de Barros, Alexandre Giulietti +5
This paper proposes Buoyancy Energy Storage Technology (BEST), storing energy via buoyancy in the deep ocean. Deeper systems store more energy, enabling weekly storage cycles that complement batteries. Estimated costs are 50–100 USD/kWh and…
Villanueva Panocca, Hennry Gonzalo
This study proposes a multi-objective method to optimally place and size battery energy storage (BESS) for ancillary services, individually or stacked, balancing financial, technical and operational criteria. Using the PJM frequency-regulat…
Staudt, Philipp, Rausch, Benjamin, Weinhardt, Christof
A public dataset of German redispatch actions from 2015-2017, capturing generation shutdowns before grid congestion and ramp-ups behind it. It records grid region, reason, direction, mean power (MW), total energy (MWh), requesting TSO, and …
Dyah Ayu Kartika Sari, Fransisco Danang Wijaya, Husni Rois Ali
Enggano Island relies on costly diesel power, limiting supply to 16 hours/day and generating high CO2 emissions. This study optimizes hybrid PV-diesel-battery configurations using net present cost and cost of energy. The optimal setup (1,00…
Ioana Teodora Mitu, Mirela Panait, Ștefan Iacob
A fixed-effects panel study of six CEE EU members (2004–2024) on CO2 emission determinants, extending beyond the 2020 pandemic and 2022 energy crisis. It separates inherited structural emission baselines from policy-driven decarbonization r…
Hyunwoo Lee, Sangpil Ko, Jun Lee +1
This study reconsiders green transport infrastructure in South Korea, examining indirect emissions and mediated impacts alongside direct emissions to map decarbonization pathways. It questions how infrastructure-induced emissions should be …
Gao Q.
This study evaluates China's 'new-type power system' using four-side joint calculation factors and compares results across provinces. It integrates multiple indicators such as renewable penetration and grid flexibility to visualize regional…
Yang Y.
This work addresses demand response (DR) technology that aggregates distributed demand-side energy storage. By absorbing renewable variability and shaving peak demand, it contributes to carbon reduction. It highlights integrating demand-sid…
Spyridis P.
This paper presents concepts and examples for reducing greenhouse gas emissions in tunnel design by revisiting basic engineering assumptions. It highlights how early design decisions shape construction and operational emissions, offering a …
Khaizie Sazimah Ahmad, Joeaiza Juhari, Najihah Abdul Rahim +3
This paper positions the circular economy as a systemic complement to conventional decarbonization, arguing renewables, CCS, and efficiency alone are insufficient. It analyzes how resource efficiency, product life extension, recycling, and …
Annisa Ayu Fawzia, E. Nurjani, Rika Harini
This study projects fuel-related GHG emissions from Indonesia's medium- and large-scale manufacturing subsectors from 2025 to 2060 using LEAP software under four scenarios: BAU, ER, CT-1, and CT-2. Emissions in 2060 range from 593,520 Gg CO…
Nicholas Banks
This paper examines community theatre as an engagement tool for reaching low-income, ethnically diverse, and vulnerable groups with low-carbon technologies in Oxfordshire, UK. It documents the full process—researching local priorities, scri…
A. Urazalin, E. Mazhitov
This paper examines carbonate low water-demand cement (CNV-50KB) as a way to cut clinker content in cement systems. Compared with conventional Portland cement PC500D0, it shows comparable strength development and setting times while requiri…
Xiaoling Wang, Le Ma, Andrea Appolloni +2
Using social network theory, this study builds iron and steel trade networks for 51 countries (2011–2022) and applies two-way fixed-effects models to test how network embeddedness affects carbon emissions. Greater embeddedness in total and …
Sugiarto Pramono, Fuat Albayumi, Muhamad Takhim +1
This article argues that Indonesia's downstreaming and energy transition policies are shaped not only by economic and industrial goals but also by collective memory of colonial resource extraction and long-term dependency. Through interpret…
Sam Betts-Davies, John Barrett, Anne Owen +2
This study disaggregates aggregate final energy demand reductions in the UK's Positive Low Energy Future scenarios down to household income groups, focusing on shelter and mobility energy service demands. It finds substantial inequality in …
Kathryn Chelminski
This article compares geothermal projects in Indonesia and the Philippines and lithium extraction in Argentina and Chile to explain variation in just and equitable outcomes of renewable energy and green mineral development. It finds that st…
Dennison MS, Barah OO, M AM
A systematic review of 2016–2026 LCA studies comparing hydrogen-based DRI, EAF, and BF-BOF with CCS for steel. Renewable-powered H-DRI can cut GHG by ~60–96% vs conventional BF-BOF; scrap EAF reports 400–600 kg CO2-eq/t steel, and BF-BOF wi…
Parrado-Hernando, Gonzalo, del Valle Sanchez, Cristina, Miguel González, Luis Javier
This supplementary repository supports a study on how representing capacity deployment timing in integrated assessment models (IAMs) affects energy transition pathways and policy analysis. It provides model files, input data, and scripts to…
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