This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 1061–1080 of 12750 papers
Ivone, Iskandar Itan, Sheila Septiany +2
Analyzing 121 non-financial Indonesian firms from 2019-2023, this study examines the impact of family and political CEOs on climate change disclosure (measured via TCFD framework), with CEO age as a moderator. Results show that both family …
Niken Kartika Nahdya Rokhimanillah, R. Mohammad Alghaf, Sekarsari Wibowo +1
This study estimates carbon sequestration across four vegetation strata in a paper mill area (10 Ha mill area, 3.52 Ha conservation area) to analyze biodiversity's impact on GHG reduction. Tree strata accounted for 90.7% of total carbon sto…
Jiajing Pan, Qiumeng Zhong, Haifeng Zhou +3
This paper explores how supply chain structure can be leveraged to simultaneously reduce greenhouse gas and phosphorus emissions in food systems. It identifies key leverage points within the supply chain that can lead to synergistic emissio…
André F. Young, Aline R. Eckstein, Leonardo D. Ferreira +2
This paper presents a single-equation metric, Net Carbon Balance (NCB), for evaluating CO2 capture technologies, incorporating indirect emissions from utilities. It clarifies the trade-off between capture efficiency and net environmental pe…
Arijit Mukherjee, Sourish Chatterjee, Anupam Debsarkar +1
This study uses a bottom-up model to identify least-cost pathways for net zero transition in the power sector of eastern India. It considers regional constraints and presents optimal strategies combining renewable energy and efficiency impr…
Mohammad Hemmati, Vassilis M. Charitopoulos
The rapid expansion of AI is increasing electricity demand in Europe. This study uses a spatially explicit optimization model to assess how hyperscale data centers may reshape energy infrastructure investment and emissions trajectories. Und…
João Fortunato, Diogo A. C. Narciso, Henrique A. Matos
This paper proposes a gradual incorporation of green hydrogen and air-separated nitrogen into a conventional ammonia plant. Using Aspen Plus simulation, at 40% incorporation, CO2 emissions reduce by 29.4%, natural gas savings of 30.1%, and …
Geeta Joshi, Tejeswi Ramprasad, Harmandeep Singh +4
This paper develops an agent-based model to analyze sustainable aviation fuel (SAF) transition pathways, applied to India's civil aviation system. Results show that SAF adoption depends on infrastructure coordination and price formation, no…
Andrea Isella, Davide Manca
This paper presents a techno-economic assessment of a retrofit hybrid concept for ammonia plants, where renewable hydrogen is integrated into a conventional natural-gas-based process. Using California data, it shows that solar-wind compleme…
Rafailia Mitraki, Muhammad Salman, Grégoire Léonard
This study uses superstructure optimization to techno-economically assess decarbonization pathways for methanol and formaldehyde production. Pathways include feedstock switching (biomass, biogas, waste), process electrification (Power-to-X)…
Ron Cörvers, Sidi Amar, Ama Asante +2
This paper presents a cross-case analysis of multinational corporations' decarbonisation strategies in smallholder-based supply chains for cocoa, coffee, and palm oil. It examines practices that go beyond compliance, highlighting Scope 3 em…
Yushu Wang, Wenli Du, Minglei Yang +1
This study develops a whole-systems optimization model for provincial-scale decarbonization pathways of China's cement industry from 2025 to 2060. Results show significant spatial and temporal heterogeneity: before 2050, traditional cement …
Ram Venkataraman Guru, Benjamin H. Lowe, Meletios Bimpizas-Pinis +6
This paper analyzes rebound effects in steel industry decarbonisation, revealing pathways and mechanisms. It proposes mitigation strategies to ensure efficiency gains translate into actual emission reductions, informing policy and industria…
Meshkat Dolat, Benaissa Dekhici, Michael Short
This paper presents a techno-economic optimization framework for self-sufficient biomethane islands, applied to the Inverness gas network in Scotland. Three feedstock archetypes (crop-dominant, food waste, distillery residues) are compared …
Fabian Mkocheko, Walid A. Hanafy, Adam Lechowicz +2
This paper examines city-scale decarbonization of residential heating under transformer capacity constraints. It analyzes how grid limitations affect the adoption of heat pumps and other low-carbon technologies, proposing feasible pathways …
Javiera Vergara-Zambrano, Styliani Avraamidou
This paper proposes a metric for quantifying circularity in energy system planning, adapting the MICRON framework to account for specific energy technology characteristics like lithium-ion batteries, solar, and wind. A case study at the Uni…
Wang R.
This paper proposes a method combining Fault Tree Analysis and Risk Matrix for assessing leakage risks from CO2 geological storage. It enables systematic evaluation of leakage scenario probabilities and consequences, facilitating risk ranki…
Kumcu S.
This study optimizes carbon capture, utilization, and storage supply chains for hard-to-abate industries in Turkey. It builds a quantitative optimization model to assess cost-effective decarbonization pathways.
Caiafa C.
This paper presents a framework to assess opportunities and risks of green hydrogen deployment, with a case study from a developing region in Brazil. It offers empirical insights for policymakers and investors on region-specific challenges.
Li H.
This paper presents a simulation approach for CO₂ migration in deep reservoirs under CCUS conditions, analyzing reservoir properties and pressure effects to inform effective carbon storage operations.
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