Renewable Energy Foundation Takase Report
自然エネルギー財団 高瀬レポート
(著者不明)
Takase of the Renewable Energy Foundation releases a report on power procurement and GHG protocol revisions, providing practical insights for renewable energy sourcing.
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 601–620 of 1701 papers
自然エネルギー財団 高瀬レポート
(著者不明)
Takase of the Renewable Energy Foundation releases a report on power procurement and GHG protocol revisions, providing practical insights for renewable energy sourcing.
自然エネルギー財団 コラム:再エネ電力調達の最新動向
(著者不明)
A column by the Renewable Energy Institute explaining latest trends in renewable electricity procurement, including hourly matching and certificate trading. Provides practical insights for companies aiming to meet renewable energy targets a…
資源エネルギー庁 洋上風力発電導入に関するビジョン
(著者不明)
A vision document by Japan's Agency for Natural Resources and Energy outlining plans to expand offshore wind power generation, including targets and policy directions.
Shuxian Zheng, Tong He, Chenyue Niu +5
This paper argues that extreme tariffs significantly undermine the global decarbonization potential of solar PV, and that this negative impact is often underestimated in policy discussions. It provides quantitative analysis of how trade bar…
Chuan Xiong, Liu Y, Kai Zhang +6
This paper proposes configuration optimization for an integrated energy system combining photovoltaic, battery, and wall thermal storage for plateau farmhouses. Targeting 100% solar self-sufficiency, it optimizes design parameters to achiev…
Hailong Liu, Mingjie Gao, Qiaoying Ban +1
This study examines the characteristics of carbon reduction and methane production through a carbon redirection process driven by pre-coagulation. It shows how organic carbon in wastewater can be converted to methane, achieving both emissio…
Pau Orive, Cristobal Blanco
This study assesses Spain's 81% renewable electricity target using a probabilistic dispatch model with 10,000 Monte Carlo simulations. The baseline scenario shows only 9.06% compliance probability, rising to 14.51% under optimistic assumpti…
Putri Najiha, Arifa Putra Pratama, Andi Pratama Solin
This study conducts a bibliometric analysis of 2000 wind energy documents from Scopus (2021-2026), revealing a significant upward trend in publications. The conceptual structure is shifting from technical topics (wind power, turbines) towar…
Malek Abaab, Khalid M. Al-Harbi, Faisal A. Otaibi +1
This study applies a PSTAR model to 20 European countries (2005-2023) and finds nonlinear effects of renewable energy consumption on CO2 emissions. Two thresholds at approximately 20.4% and 28.9% renewable share reveal that significant emis…
Juan Luis Santos
An agent-based model of 34 European countries (2015-2024) decomposes wind and solar expansion into domestic proactivity, international reactivity, and country-specific leadership. It identifies Lithuania, Finland, Moldova as wind leaders an…
Vuia MH, Za ASM, Islam R +4
This PRISMA-based systematic review examines how Earth observation, remote sensing, GIS, and digital tools (AI, IoT, digital twins) can integrate with energy storage to support renewable-powered resilient energy systems. It identifies five …
Abera A
This study evaluates anaerobic co-digestion of toxic textile semi-liquid sludge (TSLS) with cattle manure (CM) in Ethiopia. The optimal ratio of 60:40 at 37°C yielded 2,597 mL biogas with 66.5% methane, while effectively reducing heavy meta…
M Rahul Firmansyah, Anas Baharudin Wahid, Nurul Fajriyah Hidayat Putri +4
This systematic literature review examines financial policy instruments (green bonds, carbon pricing, blended finance) for accelerating green transition and renewable energy investment in developing countries. It finds that while these inst…
Soroush Entezari, Mikhail Sorin
This study introduces a multi-scale dynamic modeling framework for industrial heating decarbonization in cold climates, integrating transpired solar collectors (TSC) with PVT-ST systems. Using CFD and data-driven clustering, it evaluates an…
Cellura M.
This paper assesses lifecycle greenhouse gas emissions of concentrating solar power (CSP) technologies and analyzes relevant environmental impacts. It provides crucial quantification of decarbonization effects of renewable energy technologi…
Guarino F.
This paper proposes a methodology for planning net-zero energy solar neighborhoods in the Mediterranean basin. It integrates solar power generation and energy efficiency to optimize the energy balance of the entire district. The methodology…
Yasi Yang, Wensheng Wang, Xia Liu
This study uses system dynamics to simulate the evolution of renewable energy penetration (REP) in China from 2012 to 2060. Under business-as-usual, REP reaches 77.17% by 2060, with the highest at 80.71% under policy support. Market expansi…
Asmaa Ahmed, Mohamed Elsakka, Ayman Mohamed +1
This paper proposes using single-axis tracking to mitigate evaporative cooling in inclined rotating-wick solar stills, enabling low-carbon freshwater production. It enhances solar energy efficiency for sustainable water supply.
Dalmn Yaseen Taha, Tawfeeq W. Mohammed
This review covers optimization, control, and energy management strategies for Hybrid Renewable Energy Systems (HRES), including system classification, modeling, classical and metaheuristic optimization, AI-based management, and techno-econ…
Leyla Zhuhadar
This study develops an integrated framework for forecasting U.S. renewable energy consumption using monthly multisector data from 1973-2025, comparing machine learning, deep learning, and time-series foundation models. Results show that fea…
Browse by Topic