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 201–220 of 348 papers
Hsiao C.H.
This paper proposes a day-ahead scheduling method for distributed energy resources in net-zero energy houses using Soft Actor-Critic (SAC) reinforcement learning, considering multi-day operation to optimize energy costs and comfort. Simulat…
Gupta A.
This paper presents the design and operation of a net-zero energy commercial office building in Rajasthan's hot-dry climate, demonstrating integration of renewable energy and high-efficiency technologies.
Xia D.
This paper explores opportunities and gaps in transforming rural housing in southern China into net-zero energy buildings. It analyzes retrofit potential and renewable energy integration, identifying policy and technology gaps. Findings con…
Mohammed S.
This paper proposes a four-pillar framework and three-axis classification for intelligent net-zero energy buildings, along with implementation pathways. It provides a structured approach to designing and operating buildings that achieve net…
Khan F.A.
This study proposes a parametric design approach for net-zero residential buildings in Pakistan. It focuses on optimizing energy efficiency and integrating renewable energy to achieve carbon neutrality. The paper outlines key design paramet…
David Geisler-Moroder, Xuran Guo, Sascha Hammes +4
This paper presents two reference simulation models (a group office and a factory hall) for comparing lighting simulation tools. The models include full spectral characteristics to evaluate non-visual effects. Example results are provided. …
Zhuo Su, Junlong Peng, Yuntao Su +2
This study models and optimizes machine deterioration effects in low-carbon flexible job shop scheduling to reduce carbon emissions in manufacturing. Considering deterioration enables more realistic low-carbon scheduling.
Haoxiang Zhan, Xiaolei Yuan, Yu Wang +3
This paper reviews advances in ice thermal energy storage, a technology enabling low-carbon and flexible cooling by shifting electricity demand.
Zhou Y.
This study applies a real options model to optimize energy efficiency investments in steel firms, considering carbon trading and tax cuts. It derives optimal investment strategies under economic downturns, highlighting the interplay between…
Diccon Westworth, Colleen Duncan
This paper presents six scalable strategies for reducing energy-related emissions in veterinary hospitals: procuring renewable electricity, electrifying operations, reducing transport emissions, improving energy efficiency, installing on-si…
Xinzhu Q.
This study proposes a multi-objective optimization method for sports building envelope design, considering embodied GHG emissions, daylight performance, and thermal load. It aims to balance environmental impact reduction and indoor environm…
Shirinbakhsh M.
This paper examines the feasibility of achieving net-zero energy performance in high-rise buildings using solar energy. It analyzes the matching of building energy demand with solar PV generation and discusses technical and economic challen…
Li Y.
This study examines the feasibility of net zero energy buildings and their role in future energy development.
K. Wong, Assoc. Prof. Dr. Rashad Yazdanifard
This study analyzes the adoption of sustainable development in Malaysia's real estate sector amid global climate governance shifts and rivalry among major economies (US, China/BRI, ASEAN, BRICS). It reviews 101 sources (2020-2025) on policy…
B. Srimanickam, N. Rajamurugu, M.Arulprakasajothi +3
This study enhances solar-thermal drying of turmeric by integrating phase change materials (PCM) into a solar chimney dryer and applies data-driven modeling for optimization, contributing to low-carbon agro-processing.
Kerem Yavuz Arslanlı, Ayşe Buket Önem, Cemre Özipek +6
Using panel data from all 81 Turkish provinces (2013-2022), this study analyzes structural determinants of residential energy demand in post-earthquake reconstruction. It finds that exchange rate effects on electricity demand are buffered b…
Chaitat Bokird, Jutithep Vongphet, Sasiwimol Khawkomol +6
Comparing gravity vs pump irrigation in Thailand, this study finds no significant differences in water productivity or footprint, but pump irrigation generates five times higher carbon emissions. Eco-efficiency improves up to 8.11%, highlig…
Rania Obead, Lina Khaddour, Bernardino D’Amico
This study assesses the whole-life carbon emissions of retrofitting a pre-1919 Scottish house using LCA and building simulation. A package of fabric upgrades, heat pump, and PV reduces energy demand and emissions by over 50% with a carbon p…
Carlie D. Trott, Catelyn N. Smeyne
This study explores how income and psychosocial factors interact in home decarbonization decisions. Using data from Cincinnati, Ohio, it finds that financial barriers dominate for low-income residents, while psychosocial factors are more in…
Wen Zhang, Bin Guo, Bo Yang +3
This study develops a synergistic optimization model integrating microclimate simulations (ENVI-MET and Grasshopper) with non-dominated sorting genetic algorithm II to simultaneously balance thermal comfort, energy consumption, and economic…
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