gxceed
GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Energy Efficiency (clear)

Showing 221–240 of 325 papers

🇨🇳 China📚 Peer-reviewed · JournalTrends in Food Science & Technology2026#Energy EfficiencyDOI

Next-generation plant-based food drying technology: Achieving low-carbon, collaborative, and high-value transformation through industry 5.0 empowerment

Yize Yin, Min Zhang, Chung Lim Law +1

This paper explores low-carbon drying technology for plant-based foods from an Industry 5.0 perspective. It proposes collaborative innovation and high-value transformation, aiming to improve energy efficiency and reduce environmental impact…

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🇨🇳 China📚 Peer-reviewed · JournalBuildings2026#Energy EfficiencyDOI

Comparative Life Cycle Assessment of Typical Low-Carbon Retrofit Measures for an Old Residential Community: A Case Study in Zhejiang Province, China

Yi Wei, Renfu Jia, Qiyue Du +5

This study compares four low-carbon retrofit measures (efficient lighting, greening, rooftop PV, electrification) in a Chinese residential community using life cycle assessment. Results: lighting reduces 77.8% of lighting emissions; rooftop…

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🌍 Global📚 Peer-reviewed · JournalUnconventional Resources2026#Energy EfficiencyDOI

Machine learning-embedded energy cost optimization for hybrid flow shop scheduling toward low-carbon industrial energy systems

Latifa Dekhici, Khaled Guerraiche, Aykut Fatih Güven +3

This study proposes a framework integrating machine learning (Random Forest) with metaheuristics for energy-aware hybrid flow shop scheduling. Using real-world steel industry data under Algeria's time-of-use tariff, the model achieves up to…

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🌍 Global📚 Peer-reviewed · JournalIconic Research and Engineering Journals2026#Energy EfficiencyDOI

Designing with Fabric Intelligence: An Interdisciplinary Architecture–Textile Framework for Low-Carbon and Inclusive Housing Delivery in Nigeria

Tajudeen Ajayi, Tope S. AYODELE, Tolulope Omotoso

This study proposes an interdisciplinary architecture-textile framework using 'fabric intelligence' for low-carbon, inclusive housing in Nigeria. A PRISMA systematic review and quantitative analysis of 58 studies shows textile-informed stra…

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🇨🇳 China📚 Peer-reviewed · JournalJournal of Building Engineering2026#Energy EfficiencyDOI

Mechanical and microstructural properties of low-carbon engineered cementitious composites containing carbonated recycled fine aggregates

Meng Chen, Yulin Ge, Junqi Sun +2

This study investigates the effects of replacing fine aggregates with carbonated recycled fine aggregates (CRFA) (0%-100%) on the mechanical and microstructural properties of engineered cementitious composites (ECC). Results show that incre…

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📚 Peer-reviewed · JournalJournal of the Air & Waste Management Association2026#Energy EfficiencyDOI

Experimental assessment of rheological behaviour and environmental impact of low-carbon cementitious paste with fly ash and GGBS

Abhiram Shukla, Pankaj Mishra, Harish Kizhakkumodom Venkatanarayanan

This study experimentally assesses the rheological behavior and environmental impact of low-carbon cement paste incorporating fly ash and GGBS. It quantifies the CO2 reduction potential and workability implications, offering insights for pr…

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🇪🇺 Europe📚 Peer-reviewed · JournalBuildings2026#Energy EfficiencyDOI

From Brownfields to Low-Carbon Cities: A Methodological Framework for the Sustainable Renovation of Industrial Buildings and Their Envelopes

Hamed Afsoosbiria, Darja Kubečková

This study develops an integrated methodological framework for assessing and optimizing multilayer wall systems in industrial building renovations. Six wall configurations were evaluated; the FC-EPSR wall achieved the best balance of therma…

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📚 Peer-reviewed · JournalStudies on Russian Economic Development2026#Energy EfficiencyDOI

Improving the Energy Efficiency of the Economy as a Factor in Achieving the Goal of Low-Carbon Development of the Country

O.V. Mazurova, Е. В. Гальперова

This paper analyzes promising directions for improving energy efficiency in major sectors of the Russian economy (industry, transport, buildings) and assesses their impact on energy intensity dynamics. Using an original set of models, it co…

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🇨🇳 China📚 Peer-reviewed · JournalInternational Journal of Environmental Science and Technology2026#Energy EfficiencyDOI

Developing low-carbon communities: optimizing residential building layouts in urban centers from the perspective of carbon diffusion impacts

M. Feng, S.-x. Sun, Y Shi +1

This study analyzes the impact of residential building layouts on carbon diffusion in urban centers and proposes optimization methods for low-carbon communities. By adjusting building orientation and spacing, carbon emission dispersion can …

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🇨🇳 China📚 Peer-reviewed · JournalMaterials2026#Energy EfficiencyDOI

Low-Carbon Construction and Building Materials

Junfei Zhang

This paper reviews low-carbon transformation in construction and building materials, noting that traditional cement contributes ~8% of global CO2 emissions. It discusses the development and application of low-carbon materials to reduce emis…

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