GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Energy Transition (clear)

Showing 661–680 of 5895 papers

Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalCell Reports Sustainability2026#Energy TransitionDOI

Strategic data center siting can mitigate trade-offs between decarbonization and digitalization in Japan

Hiroaki Onodera, Hiroto Shiraki, Keisuke Matsuhashi

This paper examines how strategic siting of data centers in Japan can ease the trade-off between decarbonization and digitalization. It suggests that aligning siting with grid carbon intensity and renewable availability can support digital …

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇨🇳 ChinaJournalScientific Reports2026#Energy TransitionDOI

Full-scale field evaluation of a net zero energy greenhouse concept integrating electrified heating, envelope improvements, and on-site photovoltaics

Soma Sugano, Masahisa Ishii, Ryota Tsuchiya +4

First full-scale parallel field comparison of a Net Zero Energy Greenhouse (ZEG) versus a conventional greenhouse under identical conditions for commercial strawberry cultivation in Japan. The ZEG, using a groundwater-source heat pump, doub…

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Peer-reviewed🌍 GlobalJournalJournal of Cleaner Production2026#Energy TransitionDOI

A Bayesian Network-based non-deterministic optimization model for planning climate-resilient and low-carbon power systems: A case study of Nova Scotia, Canada

Lijun Lin, Guohe Huang, Jiapei Chen +3

Proposes a Bayesian-network-based non-deterministic optimization model for planning low-carbon, climate-resilient power systems under uncertainty. Applied to Nova Scotia, Canada, it quantifies trade-offs between renewable deployment and gri…

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Peer-reviewed🇨🇳 ChinaJournalModelling—International Open Access Journal of Modelling in Engineering Science2026#Energy TransitionDOI

A Generation-Weighted Modelling Framework for Life Cycle Assessment of Low-Carbon Electricity Mixes: Scenario Simulation, Boundary Diagnostics and Regional Proxy Analysis

Siyuan Chen, Yaokuan Peng, Yao Tong +2

Develops a generation-weighted LCA framework for low-carbon electricity mixes, validated against UK 2020-2024 data. Capacity-factor weighting cuts generation-share error by up to 72%. Generation weighting lowers GWP100 by 13.6-22.6% across …

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