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 341–355 of 355 papers
Hyung Won Choi, Dae Young Jung, Seonggon Kim +4
This review systematically categorizes passive and active technologies for achieving plus energy buildings (PEB) in high-density urban areas. It emphasizes the integration of energy-saving and energy-generation technologies, with a focus on…
Yunus Emre Harmanci, Lukas Kramer, Moslem Shahverdi +1
This paper examines challenges and opportunities for reducing CO2 emissions in the construction sector, using Swiss road bridges as a case study. It evaluates high-performance materials and circular design strategies, emphasizing the need f…
Pedro Palma, Nikos Manias, Akis Apostoliotis +7
This report assesses the potential of building renovation and renewable energy integration for decarbonisation and energy poverty reduction in private multifamily buildings across three pilot cities: Rumia (Poland), Torres Vedras (Portugal)…
Asher Rudolph, Qing Wang
Using ~353,000 US domestic flights, this study finds a strong inverse relationship between flight distance and CO₂ emissions per mile (elasticity -0.18). Short-haul flights have disproportionately high emissions intensity. A 1% fuel efficie…
Chunjian Wang, Qidi Jiang, Jingshu Kong +3
This study proposes an AI-based multi-objective optimization framework for passive-oriented nearly zero-energy building envelope design in Chengdu's hot summer/cold winter climate. Using NSGA-II genetic algorithm, it optimizes wall/roof ins…
N. V. Bondareva, Ігор Мірошниченко, Victoria Simonova +1
This review focuses on applying bio-based infills to hollow building blocks to improve thermal insulation. It analyzes interactions with thermo-fluid behavior (natural convection, conduction, radiation) in cavities, evaluating effects on th…
Aurora Bertini, Deepak Amaripadath, Emilie Gobbo +1
This study analyzes uncertainties in variables affecting whole life carbon performance of nearly zero energy residential building renovations. It identifies key factors and their impacts, helping optimize design and construction for carbon …
Obafemi A. Ibitoye, Jemimah O. Tolu-Alalade
This study evaluates the thermal performance of Interlocking Stabilised Soil Blocks (ISSB) in tropical Nigeria. Through experimental measurements and surveys, it shows that ISSB structures reduce indoor temperature fluctuations and cooling …
G. Seguela, J. Littlewood, G. Karani
Using multi-year operational data from a large healthcare facility in Abu Dhabi, this study evaluates the GHG intensity (kgCO2e/m3) and life-cycle cost of decentralized non-potable water (NPW) systems. An optimized NPW configuration reduces…
Siyu Song, Won-Ho Kim
This paper proposes a novel intersect consequent pole IPMSM that reduces rare-earth magnet usage by 31.8% while improving performance: cogging torque decreased by 51.3% and torque ripple by 3.41%p, maintaining output characteristics. A 3-D …
Lisa Kropacek, René Rohrbeck, Isobel Vernon-Avery +3
European buildings account for ~40% of energy-related emissions, yet the annual renovation rate is only 1.2%. This paper argues that servitisation as a business model innovation can unlock systemic bottlenecks by realigning incentives, lowe…
Xidi Shang, Wuliang Yin, Jianxin Pan +4
This paper reviews advances in AI applications for low-carbon metallurgy in the steel industry. AI contributes to process optimization, emission reduction, and energy efficiency, supporting material transition. Steel decarbonization is a gl…
Yingfeng Wei, Hui Chen, Ye Tian +9
This study proposes a hybrid forecasting framework integrating VMD-SE, Transformer, and BiLSTM, optimized by QPSO, for short-term air conditioning load in industrial buildings. Validated on real datasets from Hubei, China, the model achieve…
(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…
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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