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 681–700 of 6957 papers
Raziye Aghapour, Sarasadat Alavi, Oluwatosin S. Atitebi +1
Using the US EPA's GLIMPSE computational framework, this study simulates the system-wide impacts of Texas energy policies on GHG emissions, air pollution, the economy, health, and energy prices. Sensitivity analysis identifies optimal decis…
Constance Crozier
This paper proposes a coupled model integrating electrified supply chains—transport and manufacturing constraints—into power system planning, using electric truck batteries with V2G and smart charging to absorb renewable fluctuations. A cas…
Bonaraja Purba, Grace Sari Adinda Pakpahan, Surbakti Novia Hanifa +1
Using 2020–2024 Indonesian data, this study examines how fossil energy consumption and renewable energy development relate to GHG emissions within a green economy framework. Coal-dominated energy inputs reached 96.89% in 2024 while the rene…
Vipin Kumar Sharma, Satyam Shree, Nakkeeran E.
An integrated LCA and multi-criteria decision analysis compares nuclear power with wind, solar PV, gas and coal using 1 kWh as functional unit and 14 indicators. Nuclear shows ~12 g CO2-eq/kWh life-cycle emissions and the top MCDA score (0.…
Unaffiliated, Yang Chen, Xueping Li
This study builds an agent-based simulation with a leader-follower optimization model for a charging station integrating solar, wind, battery storage, and electricity-hydrogen conversion. The upper level maximizes station profit while the l…
Sumit Kumar Bhati
A broad review of electrochemical energy storage for modern power systems, spanning lead-acid, NiMH, zinc-based, sodium-ion, sodium-sulfur, lithium-polymer, redox/hybrid flow batteries, electrochemical capacitors and fuel cells. It evaluate…
Sodwatana, Mo
BRIDGES is a sector-coupled gas-electricity planning model that co-optimizes investment and operation to find least-cost transition pathways across multiple investment periods. Applied to nine Northeast US states at county resolution, it va…
Rafesh, Alaa Neamah Mohammed
Using international energy data 2000–2024, this study applies panel regression and counterfactual simulation to quantify how renewable electricity share affects power-sector carbon intensity. A one-point rise in renewable share is linked to…
Lianghan Cong, Henrik Lund, Poul Alberg Østergaard +2
A study analyzing decarbonization pathways for district heating in cold-climate urban energy systems, using Helsinki as a case. It examines options such as shifting away from coal and gas toward heat pumps and waste-heat recovery within urb…
Ahmed A.
This work proposes a framework integrating water and carbon dimensions for siting AI datacenters in the U.S. It evaluates how location choices interact with 24/7 carbon-free energy procurement and water stress. The framework links datacente…
Abu-Znad O.
An engineering paper on power-system dispatch that handles uncertainty while guaranteeing deliverability of flexible ramping products, a market mechanism increasingly important as renewables grow. Details are unavailable from the title alon…
Man Y.
A life cycle analysis comparing synthetic natural gas (SNG) with coal for power generation in China, assessing haze pollution, greenhouse gas emissions, and resource consumption. It weighs whether SNG conversion improves air quality and dec…
Khan S.
A study modelling the enablers that drive manufacturing's shift toward a net-zero economy. It appears to frame how policy, technology and market conditions accelerate industrial decarbonization. Details of method and empirical findings are …
Uratani J.M.
This paper proposes a meta-theoretical geographic framework—place, space, and scale—for analyzing industrial decarbonisation in Australia. It theorizes how decarbonisation is shaped by local context and spatial/scalar dynamics, offering a c…
Feng R.
This study applies machine-learning clustering to chemical fiber firms in a Chinese province to assess differentiated decarbonization pathways toward net-zero. It likely shows that emission profiles and abatement potential vary across clust…
Ran Liang
This work formulates optimal scheduling of an integrated energy system that embeds carbon emissions trading and green certificate schemes within a bilevel Stackelberg game. It models hierarchical decisions between an upper-level system oper…
Li-Xiang Lin, Chang Xu, Chen-Xi Zhang +6
This paper proposes a low-carbon planning method for active distribution networks coordinating demand response (DR), battery storage (BESS) planning, and electricity–carbon trading (ECT). A dynamic grid-purchased carbon emission factor is e…
Yu Liu, Zheng-Xian Zhang, Mu-Qi Diao +3
A review of China's non-CO2 greenhouse gas emissions (methane, N2O, F-gases) covering mitigation measures and their environmental and economic impacts. Co-authored across several Chinese universities, it surveys policy and technology option…
Reva Lisa Amelia, Gerlan Haha Nusa, Bhenu Artha +1
A critical literature review of a 159-country study applying the Phillips-Sul club convergence algorithm to energy self-sufficiency. It confirms that self-sufficiency does not converge globally but forms clubs driven mainly by fossil fuel e…
Yinghan Liu, Nga Wun Lau, Johnny F. I. Lam +1
Using a balanced panel of 336 Chinese prefecture-level cities (2000-2022), the study builds a diagnostic framework distinguishing historical maxima from effective peaks. 94 cities meet the baseline effective-peak criterion and 88 are stable…
Browse by Topic