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 121–140 of 11816 papers
Davidson, Craig Kyrle Srrachan
This paper proposes the Solar Potential Certificate (SPC), a standardized metric scoring a building's solar electricity generation potential from 0 to 100. Using a spatial deterministic model with 3D building geometry and shading analysis, …
Guotao Zhu, Haowei Hu, Zihao Wang +3
This study analyzes carbon emission peaks in the operational phase of existing civilian buildings in Anhui Province using energy balance tables, the LEAP model, and the STIRPAT model. Scenario analysis reveals that the optimal blueprint sce…
Panithi Nakhonthong, Surangkana Trangkanont, Preenithi Aksorn
This study calculates greenhouse gas emissions (CO2-eq) from the construction of a double-track railway cable-stay bridge over the Mae Klong River in Thailand. Emissions are classified by work type, showing that pylon and segment work accou…
Shan Chen, Tianhao Yi, Shuyu Xue
This paper investigates how carbon intensity and exposure to climate policy uncertainty (CPU) are priced in China's equity market. Univariate portfolio tests confirm a carbon premium: high-carbon firms earn higher average returns. While the…
Yukihide Kurakawa, Makoto Tanaka
This paper analyzes the effects and interactions of three policy instruments: demand-side energy efficiency, demand response, and carbon tax. It compares their roles in reducing energy consumption and decarbonization, offering insights for …
Freeda V. Simon, Praphul H. Sarma, Sakthi Bharathi S
This study examines how ESG disclosure quality affects profitability of 30 Indian commercial banks from 2021-2026 using panel data and SEM. It finds that high-quality ESG disclosure positively impacts ROA and ROE, with investor confidence a…
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 …
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