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 1481–1500 of 23772 papers
Gašper Stegnar, Jure Čižman, Tadej Bevk +2
This paper proposes a building-level framework to assess rooftop solar deployment constraints in heritage-protected areas. It offers a quantitative method to balance urban decarbonization goals with cultural heritage conservation, providing…
Ece Özer, Lukas Kranzl, Andreas Müller +5
This paper compares the roles of electrification and renovation in decarbonizing the EU building sector using multiple energy system models. It assesses model result variations and provides insights for policy design.
André Fadiga, Joana Andrade, João Bigotte +1
This study identifies barriers to port decarbonization in the Portuguese port system and analyzes their interactions using ISM-MICMAC. External environment barriers are root drivers, intermediate barriers act as transmission mechanisms, and…
Mol A.P.J.
This paper analyzes the role of sustainability certification in global agro-food value chains, focusing on the interplay between markets and certification. It examines how certification affects market access and transaction conditions, ques…
Olindo R.
This paper addresses life cycle assessments (LCA) of battery electric vehicles (BEV) and electrolytic hydrogen, highlighting the need for improved calculation rules and databases on electricity. It argues that accurate assessments require d…
Hulshof D.
This paper analyzes the performance of European renewable energy certificate (REC) markets, evaluating market efficiency and price formation mechanisms. It suggests challenges and improvements in market design for promoting renewable energy…
Lezhniuk P.
This paper proposes a method to estimate the share of renewable energy in a given consumer's electricity consumption. It offers a quantitative approach to tracking renewable energy usage, which can support corporate renewable procurement an…
Trivella A.
This paper examines how companies can meet their renewable energy targets, likely focusing on procurement strategies and challenges. Specific findings are unclear due to lack of abstract.
Marchbank S.
This paper analyzes field-scale dispersion between hydrogen and cushion gas in underground hydrogen storage (UHS) and its correlation with gravity segregation. It provides insights for maintaining hydrogen purity and improving recovery effi…
Gupta V.
This paper proposes a multistage stochastic programming model for offshore oilfield infrastructure planning under production sharing agreements and endogenous uncertainties. It analyzes the impact of contractual terms and decision flexibili…
Harati S.
This paper examines underground hydrogen storage in deep saline aquifers to balance seasonal energy demand, focusing on how well configuration affects storage performance. It provides insights into optimizing well design for efficient hydro…
Harati S.
This paper proposes a multi-criteria decision-making workflow for selecting suitable sites for geological storage of hydrogen in depleted gas fields, using the UK as a case study. It integrates geological, engineering, economic, and social …
Bjørn A.
This paper clarifies issues of deliverability, additionality, and double counting in renewable energy certificates (RECs) to improve Scope 2 emissions accounting. It enhances the reliability of corporate GHG reporting under the GHG Protocol…
Woody M.
This paper optimizes future costs and emissions of electric delivery vehicles, providing decision support for fleet operators to balance economic and environmental performance.
Kayacık S.E.
This paper proposes a multi-period optimal power flow (OPF) problem that incorporates electric vehicle (EV) charging demand, quantifying both cost and emission benefits. It demonstrates that flexible EV charging scheduling can improve grid …
Borsi I.
This paper proposes a well deliverability model for non-Darcian flow in geothermal reservoirs, contributing to efficient geothermal energy development and supporting renewable energy expansion.
Vo Thanh H.
This paper proposes knowledge-based machine learning techniques to predict the deliverability of underground natural gas storage sites, aiming to contribute to the Sustainable Development Goals (SDGs). It addresses the stability of energy s…
Schram W.
This paper discusses the choice between average and marginal emission factors in GHG accounting. Average factors reflect overall emission intensity, while marginal factors capture the actual emissions change from additional electricity dema…
Wang H.
This study applies machine learning to fault delineation at the Decatur CO2 storage site, using neural network-predicted passive seismic locations. It aims to improve geological risk assessment for CO2 injection, contributing to safe carbon…
Bona P.
This paper focuses on improving injection efficiency in CCUS wells by comparing different completion designs. While specific findings are not available, it likely provides technical insights for the practical deployment of carbon capture, u…
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