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 621–640 of 4822 papers
Yuekuan Zhou, Zhaohui Dan, Aoye Song +1
This paper systematically maps the life-cycle carbon intensities of circular battery and hydrogen technologies, assessing their roles in carbon-neutral transitions. By comparing technologies, it identifies high-impact decarbonization option…
Zheng Wang, Yuzhuo Zhang, Jinlong Liu +3
This study proposes a multi-objective optimization approach integrating Kolmogorov-Arnold Networks (KAN) and life-cycle assessment (LCA) to design sustainable concrete using coal gangue as aggregate. It aims to balance strength, cost, and e…
Jiaxing Zhang, Jingjing Li, Yibo Li +12
This study develops low-carbon cork agglomerated materials using chitosan and blocked isocyanate adhesive, evaluating cross-linking mechanism and material performance. Life cycle assessment quantifies environmental impacts, suggesting poten…
Zhang Hao, Lan Sheng
This supplemental material accompanies a study applying constrained reinforcement learning (SAC-based) to low-carbon integrated energy system (IES) scheduling with P2G-CCS coupling and district heating network thermal inertia. It provides s…
(著者不明)
This chapter discusses the integration of thermal and electricity networks as a key theme in the transition to low-carbon energy systems. Electrification of heat and expansion of thermal networks create synergies and challenges. Thermal sto…
M. Sebri, A. Benhamed, H. Dachraoui
This paper analyzes the impact of Sino-American tensions on China's energy transition. It examines how geopolitical factors influence the shift to renewable energy and technology policy, offering insights into the interplay between internat…
Stella Ebere Edeh, Chinagolum Ituma, Maduabuchi Ignatius Edeh +1
This study explores AI-driven smart energy management systems to address rising urban energy demand in Nigeria. It proposes a modular architecture integrating IoT, smart meters, and weather data for demand forecasting, anomaly detection, pr…
Taha Selim Üstün
This chapter reviews recent progress in decarbonizing power systems, focusing on integrating high shares of renewables. It addresses challenges such as intermittency, reduced inertia, and the need for new control strategies, and presents pl…
Yingnian Tao, Mark Ryan
This paper analyzes how UK newspapers from 2015-2024 frame green energy transition, comparing left- and right-leaning outlets using multiple methods. It reveals differences in emphasizing environmental versus economic crisis narratives, off…
Erika Džajić Uršič, Tamara Besednjak Valič, Alenka Pandiloska Jurak +1
This chapter provides an overview of the socio-economic implications of the green transition, focusing on challenges such as rising energy prices and the affordability of green technologies like electric cars. It argues that without careful…
Shikha Daga, Remy Jonkam Oben, Kyla L. Tennin
This paper examines the relationship between ICT and green growth in emerging BRICS economies, analyzing the role of ICT investment in balancing environmental sustainability and economic growth. It includes policy recommendations, though sp…
Geetha V
This review highlights recent advances in nanomaterials for energy conversion and storage (solar cells, batteries, supercapacitors, fuel cells, hydrogen production) and environmental applications (wastewater treatment, air-pollution control…
Shi, Wangjinyu
This resource provides code and data for a multi-model assessment of air quality and health impacts of US energy decarbonization scenarios. It enables reproducible analysis of co-benefits (health improvements from reduced air pollution) of …
Shaofeng Xie, Jingyuan Qi, Hui Wang +2
This paper proposes a risk-aware optimal dispatch framework for co-phase traction power supply systems (CTPSS) with PV and hybrid energy storage. It integrates probabilistic PV forecasting using parallel TCN-BiLSTM-Attention and t-Copula sc…
Bin Li, Juntao Zhang, Chuntian Cheng
This study constructs China's first provincial-level dataset of wind and solar electricity droughts (WSEDs) using 2016-2024 data from Yunnan province. It finds wind and solar droughts occur about nine and six times per year respectively, wi…
Yige Sun, Xiaonan Tang
This study constructs an energy structure influencing factors (ESIF) evaluation system using improved principal component analysis, and develops a carbon emission prediction model for three Yangtze River Delta cities (Suzhou, Wuxi, Nanjing)…
Molina-Cañamero, Laura, Peñalvo-López, Elisa, León-Martínez, Vicente +1
This paper proposes a methodology for designing energy communities, assessing technical and economic feasibility using Homer Grid software. Applied to Vinalesa, Spain, it optimizes a system with 870 kW PV and 1.08 MWh battery storage, achie…
Sánchez Vicente, Ximo
This thesis designs a hybrid power supply for an electrochemical water denitrification reactor, combining PV, hydrogen fuel cell, and grid. It compares DC vs AC main bus configurations under technical, energy, and economic criteria, includi…
Dumont, Olivier, Carmo, Carolina, Randaxhe, François +2
This paper presents a dynamic model of a passive house in Denmark with solar absorber, ground heat exchanger, and a reversible HP/ORC unit. Three modes (ORC, direct heating, HP) are optimally selected based on weather and demand. Peak ORC p…
Koebrich S.
This paper proposes a methodology for objectively evaluating the accuracy of marginal emissions factors (MEFs) in power systems. MEFs are crucial for calculating emission reduction impacts, and quantifying their uncertainty could contribute…
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