GX & Decarbonization Research

Aman Ali, Hritik Verma, Prateek Maurya +1

This paper reviews traditional carbon footprint methods (LCA, emission factors) and their limitations across sectors (manufacturing, construction, logistics, transport, digital infrastructure), including fixed emission factors and high unce…

Kornpaphop Ruttanawijit, Taweesup Desua, Y. Tiaple

This study presents a macro-level site suitability assessment for nearshore floating solar PV (N-FPV) in the Gulf of Thailand using AHP-TOPSIS with entropy weighting. Nine coastal provinces are evaluated based on irradiance, wave height, wi…

T. Alizade

This paper analyzes barriers and opportunities for renewable energy development in Azerbaijan, using interviews and comparative analysis. It identifies high costs, weak grid, and insufficient legislation as key constraints. Policy measures …

Erick George Uy

This study develops a resiliency model for renewable energy systems in Mindanao, Philippines, during the COVID-19 pandemic. It evaluates four profiles: energy balance, energy mix, cost, and reliability, achieving an aggregate score of 40.5/…

E. Figini, Mario Paolone

This paper proposes a framework for small-scale data centers to participate in the day-ahead electricity market with a carbon-aware, risk-averse bidding strategy that leverages flexibility from local energy resources, waste heat recovery, a…

Akhmad Rifkyansyah, Rahmat Setiawan

This study analyzes the role of the merit order in PLN and PLN Nusantara Power, linking operational efficiency, Power Purchase Agreement (PJBTL) structure, and digital transformation. Using a systematic literature review, it finds that the …

Jingwei Chen, Dongwei Zhao, Zhi Zhou +1

This paper proposes a unified decision framework for selecting optimal Power Purchase Agreement (PPA) structures—Fixed-Volume, As-Generated, or As-Consumed—to minimize financial risk for both sellers and buyers. Using theoretical analysis a…

T. Kozlovskaya, V.V. Golovenskij, V.G. Tiahnii +2

Comprehensive analysis of environmental impacts from aircraft operations including CO2, NOx, noise. Hybrid-electric propulsion can reduce CO2 emissions by 30-50%. Proposes monitoring systems using digital twins and IoT for real-time control…

Md. Mizanur Rahman, D. Mondal, M. Islam +2

This study develops and evaluates a numerical model for a three-stage direct-indirect-direct (DID) evaporative cooling system. Simulations show it achieves deeper temperature reductions than single-stage coolers, delivering supply air up to…

Ali S. Aljumah, Mohammed H. Alqahtani, A. Shaheen +1

This paper proposes a Modified Newton-Raphson-Based Optimizer for optimal power flow with renewable photovoltaic sources. It adds adaptive crossover and sigmoid decay, tested on IEEE 30-bus system. Includes probabilistic OPF with solar unce…

Dana Golden, Aruna Balasubramanian, Niranjan Balasubramanian

This paper examines the effectiveness of renewable energy certificates (RECs) and power purchase agreements (PPAs) for data centers driven by AI demand growth. Using a game-theoretic model and difference-in-differences analysis with a novel…

Yannick Heiser, J. Kazempour, F. Pourahmadi

This paper proposes a predict-then-contextual-optimize framework for a power trader to engage in arbitrage between day-ahead and balancing electricity markets. It uses a probabilistic classifier to decide when to deviate from the power fore…

W. Mörbe, P. Yogeshwar, E. Hoffmann +1

This study applies drone-based semi-airborne electromagnetics (sAEM) to investigate a graphite deposit critical for renewable energy transition. Focusing on the Kropfmühl deposit in Bavaria, the method combines UAV magnetic field measuremen…

Umud Shokri

Amid the 2026 Iran War, the energy relationship between the GCC and Asia-Pacific is becoming dual-track: hydrocarbon interdependence persists while cooperation grows in renewables, hydrogen, ammonia, and transition finance. Using project-le…

Yue Lyu

This study proposes a neurocognitive-cultural entropy framework (LSF) to reconcile deep decarbonization with biocultural heritage preservation. By robotically replicating Ming-era masonry, it achieves minimal cultural entropy deviation (ΔH=…

Dina Qarashay, Farah Aldaghestani

This study examines the role of sustainable management in green retrofitting of existing buildings through a comparison of Jordan and Canada. Using literature review and case studies, it shows the energy and GHG reduction benefits of deep r…

Şamil Mehdi

This paper analyzes the current status and challenges of integrating green technologies in Azerbaijan's tourism industry. It examines renewable energy use, waste management, and ecological certification, identifying high initial investment …

Jan Niklas Lettner, Hadeer El Ashhab, V. Hagenmeyer +1

This paper compares task-specific ML models (NHITS+QRA, Normalizing Flow) with Time Series Foundation Models (Moirai, ChronosX) for day-ahead probabilistic electricity price forecasting in European bidding zones. TSFMs outperform in CRPS an…

Antonio Pesenti, A. O'Sullivan

This paper combines deep neural networks with explainable AI (XAI) to analyze electricity price drivers across 39 European bidding zones. Using SHAP, it finds that renewable energy (especially solar) plays a disproportionately important rol…

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…