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 1081–1084 of 1084 papers
送水圧力の低減及び水運用の最適化による温室効果ガス排出量の削減
(著者不明)
This paper examines methods to reduce greenhouse gas emissions in water supply systems by lowering water pressure and optimizing operations. It quantifies the reduction in pump electricity consumption and evaluates synergies with operationa…
(著者不明)
This paper proposes an integrated approach to improve urban energy efficiency by combining spatial analysis (GIS mapping, regression) with policy interventions. Using cases from Kerala (India), Loures (Portugal), and Iran, it identifies hig…
Hoyas Sergio, Vinuesa Ricardo
This paper quantifies the global emission reduction potential from turbulence-informed design, estimating up to 6 GtCO2-eq per year (10% of global emissions). It highlights that turbulence-related inefficiencies in transport, energy convers…
Kshitij Bhatta, Muhammad Waseem, Mingzhe Liu +3
This paper proposes a digital twin framework for wood drying in desiccant-assisted heat pump (DAHP) systems. Combining high-fidelity physics models with multi-agent reinforcement learning (MARL), it reduces total energy consumption by 43.2%…
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