GX & Decarbonization Research

Peng Ji, Yiman Liu, Nan Li +1

This paper develops a bilevel optimization framework for nuclear power plants participating simultaneously in energy, reserve, and capacity markets. The model captures system operator welfare maximization and nuclear operator profit maximiz…

Edobot Udo Ekere, S. N. Chukwu

This empirical study examines the impact of various green finance forms on CO2 emissions in six West African countries. It finds that international clean energy funding and biodiversity conservation donations reduce emissions, while infrast…

J. Kean, A. O'Sullivan

European TSOs need accurate day-ahead wind forecasts for bidding zones. This study trains a deep neural network on 1.57 million hourly observations from 36 European BZs using ENTSO-E and Open-Meteo data, outperforming state-of-the-art TSO f…

Xin Zhao

This paper proposes a joint bidding model for multiple electricity markets (day-ahead, real-time, reserve, frequency regulation) under price limits, incorporating risk preferences. Using 17,520 hours of data from 4 trading zones, the method…

Francesca Curinga, Lorenzo Vitulano, A. Zani

This paper presents a modeling framework to assess the impact of alternative bidding behaviors on price formation in the Italian Day-Ahead Market (2023-2024), supporting a regulatory investigation. It focuses on strategic bidding by combine…

Nan Jiang, Zeyuan Liu, Zhu Li +4

This paper proposes a power spot market clearing model that relaxes price limits while constraining the average grid price, addressing the failure of narrow price limits under high renewable penetration. Using IEEE 30-bus system and data fr…

Haoyang Fan, Qi Huang, Zhenyuan Zhang +4

This study proposes tunnel transmission for renewable energy in mountainous regions, finding gas-insulated lines cost-effective where environmental costs are high. Multi-physics analysis and lifecycle cost assessment show optimized conducto…

Lissy Langer

This study empirically analyzes the impact of the proposed GHG Protocol revision requiring temporal and spatial matching for RECs in scope 2 accounting, using open European data. It finds that the effect varies by country, time of day, and …

Umair Khan, Shouwen Wang, Zhaohui Qin +4

This paper proposes the PODO model, a financial framework using Security Token Offerings (STOs) to enable fractional public investment in renewable energy and early capital recovery. Quantitative simulations using Korean power market data (…

Chenyu Su, Yixing Du, Anders Avelin +2

This study proposes four KPIs (NLRR, IRRE, FRM, IFI) to assess power system flexibility under high renewable penetration. Applied to Sweden's SE3 zone in 2024, results show high flexibility adequacy with limited ramping shortages (IRRE 0.03…

Natanon Tongamrak, Kannapha Amaruchkul, W. Wangdee +1

This paper proposes a two-stage stochastic optimization model for 24/7 carbon-free energy (CFE) operations, minimizing cost while meeting CFE compliance. Using deep learning forecasts for load and solar generation, the model optimizes batte…

S. Vachhani, D. Chavda

Compares environmental reporting of two Indian cement giants using GRI and CSI frameworks. UltraTech provides detailed quantitative data, while Shree emphasizes clear narrative. Enhances investor ESG awareness.

Marwa Elnahass, Mustabsar Awais, Ali Uyar +2

This study examines the impact of industrial waste generation on firms' access to debt financing using a large international panel dataset (2002-2021, 16,499 observations). Results show that higher waste generation significantly constrains …

Boaz Mwubahimana, Dingruibo Miao, Jianguo Yan +7

This paper proposes CarbonFormer, a causal spatiotemporal framework for forest aboveground carbon density (ACD) estimation. It overcomes CNN limitations by using an LSTM-based temporal causal decoder and a cross-causal loss function to enfo…

Kopal Jain, Kapila Kumar, Shashi Kumar +1

This paper reviews next-generation microalgae platforms that integrate carbon capture and biofactories for sustainable climate mitigation, highlighting their potential for CO2 removal and bio-based production.

Triana Arias Abelaira, María Jesús Guillén Palomino, Lázaro Rodríguez Ariza +1

This study uses a bibliometric approach to analyze 221 articles on climate risk in finance, focusing on the integration of AI techniques. It finds that NLP and digital transformation are key themes, linking AI innovation policies to greenwa…

Chuqi Jiang, Kai Wu, Yingying Qiu +3

This paper constructs a global coal and oil value network, evaluating its evolutionary characteristics and resilience over 24 years. Key findings: Saudi Arabia and Israel are central in trade networks but not in value networks; Russia ranks…

Zhihan Sun, Wenbo Sun, Tianhao Yu +3

This review focuses on the molecular design of organic and porous framework cathodes for aqueous zinc-ion batteries (AZIBs). It systematically analyzes soft organic small molecules, polymers, MOFs/COFs with structural tunability and redox a…

Zhiyi Ye, Xunan Yang, Y Cao +3

This study analyzes the spatial spillover effects of livestock-free zone policies on carbon emissions in Guangdong Province, China. Using panel data and spatial econometric models, it finds that while the policy reduces local emissions, it …

J L Xu, Tao Lv, Xiaoran Hou +5

This paper optimizes regional renewable energy layouts in China by balancing system costs and energy justice. It proposes a framework to achieve cost-effective renewable deployment while mitigating regional inequities, contributing to a jus…