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 661–680 of 5759 papers
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…
Maren Ludwig, Stephen Jarvis
Using appliance ownership and hourly electricity demand data across many countries, this study estimates temperature effects on electricity demand globally. Combining with climate and development projections, it shows that air conditioning …
Olga Janikowska, Agnieszka Generowicz, Joanna Kulczycka
This paper conceptualizes cascading lock-ins in post-mining regions' energy transition, identifying how infrastructural, technological, institutional, and social constraints interact and reinforce each other across domains. Through literatu…
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…
Gordon C. Rausser, Wadim Striełkowski, Lukáš Prokop
This paper proposes a reproducible framework for assessing Positive Energy Districts (PEDs), combining bibliometric and NLP analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis.…
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…
Frederik, Fristed
This dataset supports a study analyzing the roles of renewable fuels and CCS in net-zero transport and energy systems. It provides input data and results for 37 scenarios using the Balmorel energy system model. Open-source model and data en…
Sikder, Pranta
GETP v1.0 is a harmonized database of realized ascent and descent rates for electricity technologies across 214 countries (1985-2025). It applies a symmetric diagnostic engine to both expanding and contracting trajectories, enabling compari…
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…
Sheng Zhao, Jingran Zhang, Jinyang Lu +6
This study compares four routes for green methanol production from biomass and renewable power, revealing trade-offs in carbon use, energy efficiency, emissions, and cost. Hydrogen-integrated gasification achieves 92% carbon utilization and…
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…
Bowen Tian, Pei Zhao, Min Liu +11
This study analyzes the interaction between V2G and time-of-use pricing using a unit commitment model of the 2030 Jing-Jin-Tang grid with Bayesian optimization. It finds that current static tariffs incentivize EV discharge during midday sol…
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…
Luh, Sandro (author), Kannan, Ramachandran (author), McKenna, Russell (author) +2
This study integrates travel time duration and valuation into the Swiss TIMES Energy System Model (STEM) to quantify modal shifts in passenger transport. Results show that speed changes on medium and long trips (e.g., highway speed limits, …
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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