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 481–500 of 1004 papers
Abhilash B.L.
This paper explores how IoT technologies enable high-performance net zero energy buildings by optimizing energy consumption through sensors and smart controls, enhancing integration with renewable energy sources. It promises reduced operati…
Madathil D.
This paper proposes a heuristic optimization method to achieve net zero energy in residential buildings by balancing energy consumption and renewable energy generation for efficient design.
Mahapara Abbass, Sana Abass Wani, Arti Chouksey +1
This study develops lightweight panels reinforced with biochar and simulates their passive thermal regulation performance in smart buildings. It demonstrates the potential of low-carbon building materials to improve energy efficiency.
Feride Çiğdem Kara Dülger, Merve Tuna Kayılı
This study conducts a life cycle assessment of Turkey's first Passive House-certified building, the Gaziantep Ecological House, evaluating trade-offs between embodied carbon and operational energy efficiency for various wall materials. Bric…
Claudia Masselli, Sabrina Gargiulo, Vincenzo Orabona +3
This numerical study evaluates the energy performance enhancement from single-effect to multicaloric solid-state heat pumps, demonstrating potential carbon footprint reduction.
Ghayth Tintawi, Khuloud Ali, Mohamad Khaled Bassma
This study presents a tri-objective Pareto optimization of residential building envelopes in hot-arid climates (Riyadh and Dubai) using NSGA-II. It optimizes window-to-wall ratio, glazing, shading, and cooling setpoint to minimize annual en…
Alan Kabanshi
This review proposes reimagining residential buildings as adaptive climate-health-work systems. It synthesizes evidence on dwelling typologies, ventilation strategies, overheating, airborne infection resilience, and post-pandemic occupancy …
Artur Hecker
This paper discusses the energy consumption of agentic AI and how AI can optimize 6G networks for sustainability. It highlights the dual role of AI as both a consumer and enabler of energy efficiency.
Tri Dung Dang, Hoang‐Kha Nguyen
This study develops an integrated decision-support framework combining CRITIC and CRADIS methods to assess energy efficiency and climate resilience across 10 ASEAN economies. Results show heterogeneity: Philippines leads, while Brunei, Mala…
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…
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