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 261–280 of 348 papers
Samson O. Sogbaike, Celestina Ezenwajiaku, Amir Badiee +2
This review synthesizes advances in greenhouse thermal management, energy efficiency, and system integration for decarbonization. It examines heating/cooling, storage, renewable/waste heat integration, and advanced control, finding that hum…
Darren Kelly, A. Kalam, Shasha Wang
This systematic review of net zero and climate resilience in existing Australian office buildings analyzes 74 studies. It identifies key HVAC technologies (heat pumps, PCMs) and lighting controls, highlights the research-practice gap, and o…
Wen Wen, Renchao Xie, Qinqin Tang +5
This paper proposes a demand-driven server deployment scheme for Computing Power Networks (CPNs) that accounts for spatiotemporal variations in renewable energy availability, electricity prices, and task characteristics. A hierarchical solu…
Henrik Lukas Naß, Jannis Bela Grunenberg, Fares Aoun +2
This paper presents a modeling approach for residential energy systems and building renovation using evolutionary algorithms for multi-objective optimization. It explores trade-offs between energy efficiency, cost, and environmental impact,…
Qazi Salman Khalid, Shahid Maqsood, Jabir Mumtaz +1
This paper introduces an emission-capacitated vehicle routing problem (E-CVRPTW) for urban waste collection, explicitly modeling fuel consumption and emissions. A hybrid guided local search algorithm reduces fuel consumption and CO2 emissio…
Saransh Tiwari, Sanjeet Singh, Utsav Pandey
This study introduces a framework integrating dynamic network DEA with weak disposability reference technology to assess eco-efficiency of passenger road transport. Applied to Indian state transport undertakings, it identifies inefficiencie…
Dalia Štreimikienė, T. Baležentis
This paper reviews the shadow carbon price (SCP) approach for tracking energy efficiency in the EU service sector. It synthesizes literature on non-parametric methods (DEA) to assess marginal CO2 abatement costs, highlighting disparities ac…
Yixuan Tang, Xintong Li, Yingwen Yu
This study proposes a proactive bi-level scheduling framework for low-carbon prefabricated construction, integrating quality inspection planning with carbon-constrained project execution. Using a hybrid evolutionary algorithm, it achieves a…
眞鍋佳子, Keisuke Manabe, 前田成志 +5
This paper proposes a method to contribute to carbon neutrality by achieving both low torque and long life in rolling bearings. It predicts grease temperature using the thermal network method, enabling optimized bearing design. This can red…
Fanourios, Kourougianni
This training school covers the transition from net-zero energy buildings to smart energy buildings, focusing on energy efficiency, renewable energy integration, and digital control for optimal building performance.
Eghosa Noel Ekhaese, Timileyin Gbenga Siyanbade
This is a correction notice for a paper on stakeholder perspectives on implementing net zero energy principles in boutique hotel design in Lagos, Nigeria.
Xiaolong Yu, Zhe Bai, Mingxing Wang +4
This study optimizes thermal efficiency of suspension roasting decarbonization for V-bearing shale, analyzing synergistic effects of temperature, gas flow, and oxygen concentration on heat utilization. Findings contribute to improving energ…
Ahmad Nazari Gazik, Mohammad Hossein Jahangir, Hossein Yousfi
This paper proposes an enhanced multi-directional windcatcher with baffle-based design to improve natural ventilation in net zero energy buildings, reducing HVAC loads and contributing to building decarbonization.
Xiaomei Duan, Lei Wu, Fei Yang +2
This study examines how industrial intelligence (AI and automation) affects regional energy efficiency, finding that green finance plays a mediating role. It provides policy implications for leveraging technology and finance for energy savi…
Bazzano, Sofia
This explainer video presents the MODERATE platform, a Horizon Europe-funded initiative (Grant Agreement No. 101069834) that aims to improve building data exchange and interoperability across Europe's building stock. It features synthetic d…
Basta G, ElGewely M, Mahmoud A
This paper proposes a low-code digital twin framework integrating real-time IEQ analytics to support retrofitting decisions for existing buildings, aiming to close the performance gap. Using ASHRAE standards, it identifies operational ineff…
Mondal CK, Ajayi O
This paper proposes an integrated BIM-based simulation framework for assessing energy demand, photovoltaic potential, and thermal performance in residential buildings. Applied to a UK case study, results show PV generation of 9.7 MWh/year c…
Day, Joseph, Swinfen-Styles, Lawrie, Duncan, Laurie
This paper presents a computationally lightweight framework for archetyping properties and areas using publicly available data to support targeted low-carbon retrofits. It enables overlay with various datasets to analyze place-based interve…
Jurģis Zemītis
This paper presents a Data Management Plan (DMP) for a project upgrading multi-apartment buildings to nZEB level, covering energy-efficient HVAC, renewable integration, prefabricated insulation, and smart systems. It ensures compliance with…
R. Georgious, E. Salvadori, L.A. Díaz-Secades
This paper proposes a unified methodology for modeling thermoelectric generators (TEGs) for maritime decarbonization. The methodology optimizes the conversion of waste heat into electricity, reducing CO2 emissions. It provides a framework t…
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