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 441–460 of 922 papers
Ana Sofia Graça, Xi Zhang
This study presents a workflow for early-stage evaluation of self-shading building facades using AI-generated geometry inspired by saguaro cactus. It integrates AI design with EnergyPlus simulation to assess energy performance, showing that…
Jun Kyu Kim, Se Hyeon Lim, Jin Chul Park
This study analyzes the lifecycle carbon reduction of green remodeling for a public daycare center over 30 years old in South Korea. Passive measures (insulation, low-e glazing, airtight doors) were applied. Embodied carbon of materials was…
Hecker, Artur
This paper addresses sustainability challenges in AI-native 6G systems, proposing green orchestration that adapts AI workload placement and execution to real-time energy conditions. It introduces incentive mechanisms and federated coordinat…
(著者不明)
This paper quantifies the financial returns from building decarbonization investments, analyzing energy efficiency improvements and carbon reduction economics.
Inimbom Isang
Net zero construction is a key approach to decarbonize the building sector, aiming to reduce CO2 emissions across the entire lifecycle through energy efficiency, renewable energy, and carbon offsets.
Vamsi Alla, Ashish Kattamuri
This paper reviews strategies for reducing the carbon footprint of cloud data centers, including energy-efficient hardware, advanced cooling, renewable energy procurement, and AI-driven workload optimization. Case studies from Google and Mi…
Muhammad Umar Farooq
CARINA is a measurement and estimation framework for energy- and carbon-aware execution of recurrent industrial analytics. It uses lightweight instrumentation and peak-time-aware control, achieving about 9% energy reduction with 7% runtime …
Mohamed Ali Rakrouki
This dataset provides anonymized research data and reproduction materials for a study on carbon-aware prewarming and placement strategies in serverless edge-cloud computing under workload and carbon uncertainty, aimed at improving sustainab…
Ruşen Ergün
This study develops energy retrofit strategies for a historic elementary school in Turkey using DesignBuilder simulations. Proposed retrofits to walls, attic floor, and windows achieve 72.43% energy savings, a 31% increase in comfortable da…
FERNANDEZ-AGUERA, JESICA, DOMÍNGUEZ-AMARILLO, SAMUEL
This working document provides an operational handbook for data-driven energy management and decarbonisation in municipal buildings and public space. It defines actionable KPIs, alert rules, thresholds, intervention recipes, and ticketing l…
Dr.Infant Vinoth C, Dr.Sundar G, Joshua S D, Bharath Kumar V, Kamaleshwaran J, Ari Krishna B
This paper presents a waste heat recovery system using thermoelectric generators (TEG) to produce electricity and charge batteries. It explains the Seebeck effect, use of heat sinks for temperature gradient, and DC-DC boost converter for vo…
Joy Chandra Bormon, Monowar Hossain Saikat, Md Shoag +1
This paper examines low-carbon construction materials such as geopolymer concrete, recycled aggregates, CLT, bamboo composites, and PCM-enhanced concretes. It proposes a framework integrating LCA and adaptive design, showing that these mate…
Vansh Thakkar
This study compares a sustainable housing design using CSEB, bamboo, and fly ash bricks against conventional RCC and fired clay brick construction for tropical climates. Results show approximately 70% reduction in embodied carbon and 22% co…
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
CryoVent proposes a cryogenic ventilation system for deep mines that achieves low or zero carbon emissions, potentially reducing energy consumption compared to conventional ventilation.
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
This paper presents methods for serving large language models (LLMs) with low latency, high resource utilization, good scalability, and low carbon emissions. It aims to reduce the environmental footprint of AI through optimized system desig…
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
This paper examines smart surface technologies for buildings that simultaneously improve energy efficiency and enable carbon capture. These technologies could contribute to decarbonization in the construction sector.
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
This paper discusses zero-carbon building facilities, focusing on design and implementation strategies. While specific methods or case studies are unclear, it implies efforts in the building sector towards a decarbonized society.
Joachim Cendrier, Rajini Wijayawardana, Anne Benoit +3
This paper presents carbon-aware scheduling algorithms for edge servers with varying carbon intensity. Using real-world job data and carbon traces, the proposed methods achieve an average 42% reduction in carbon emissions compared to standa…
Vlatko Knežević, Josip Orović, J. Čulin +1
This paper analyzes the impact of marine fuel additives, especially SulNOx, on exhaust emission reduction and fuel efficiency. Compared to traditional additives, SulNOx shows average reductions of 5% fuel consumption, 25% CO2, 96% PM, and 6…
K. Demmich, M. Scharf, S. Hauschulz +2
This study develops a decision-support system for ship energy management to reduce GHG emissions under IMO regulations. Four models (simple white-box, sophisticated white-box, grey-box, black-box) are compared, with grey- and black-box mode…
Browse by Topic