GX & Decarbonization Research

Mariusz Kudełko

This paper conducts a cost-benefit analysis of decarbonising the Polish energy sector to 2050. It finds that full decarbonisation is socially optimal only at an SCC of approximately €165/tCO2, requiring an estimated €228 billion in investme…

Xin Hui Cheng, Irene Moser, Stephen Doliente +2

This paper presents a multi-vector, multi-nodal optimization model for least-cost capacity expansion and retirement planning, applied to Sarawak, Malaysia. Results show perfect foresight enables smoother transitions at lower cost, while myo…

Torsten Müller

The Carbon2Chem project develops CCU technology that captures CO2 from steel mill gases to produce chemicals like methanol. A public-private partnership started in 2016, it aims to achieve its goals by 2028, demonstrating industrial symbios…

Ruchika Singh Rao, Kumari Ashwini

This paper reviews sustainable recycling and reuse strategies for end-of-life solar panels in the Indian context. Combining literature review, material flow analysis, and lifecycle assessment, it compares mechanical, thermal, and chemical r…

Bayat M, Azad MT, Lari K +2

This paper proposes a digital twin framework that integrates high-resolution marine microclimate modeling (salt deposition, humidity, sea-breeze) with techno-economic optimization for coastal hybrid renewable energy systems. Applied to Kish…

GV AK, Tunguturi S, Palthy RK

This paper develops an integrated analytical framework linking green accounting, circular economy indicators, and SDG 12 targets. It compares six environmental accounting systems (SEEA, GRI, GHG Protocol, TCFD, LCA, MFCA) and evaluates two …

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This paper empirically examines the impact of carbon tax on green innovation (e.g., patent filings) in EU countries. It finds that carbon taxes stimulate corporate R&D investment and increase environmental technology patents. The study empl…

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This paper analyzes the impact of carbon tax on economic growth and environmental quality. Carbon taxes are effective for GHG reduction but may have negative economic consequences.

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This paper focuses on data quality issues in Scope 3 emissions and proposes machine learning prediction methods. It aims to improve accuracy in estimating supply chain-wide emissions.

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This paper proposes a framework linking supply chain finance with carbon accounting data, enabling companies to incorporate emission data into financial terms and incentivize decarbonization across the supply chain. While specific methods a…

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This paper empirically examines the impact of climate change disclosure on firms' cost of capital, finding that higher-quality disclosure is associated with lower cost of capital, highlighting investor valuation of transparency.

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This paper empirically analyzes the factors driving firms' adoption of TCFD recommendations and the performance effects of such adoption, providing insights into the determinants and financial impacts of climate disclosure.

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This paper empirically examines whether green finance drives firms to translate ESG talk into concrete action. It investigates the effectiveness of green finance in promoting genuine corporate ESG practices and identifies conditions under w…

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This paper argues that China's proposed new climate disclosure framework represents a 'third way' distinct from existing TCFD/ISSB standards. Combining policy-driven and market-based mechanisms, China's approach could influence the diversit…

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This paper proposes a machine learning approach to predict ESG ratings. It builds models that estimate ESG scores from publicly available corporate data and compares performance with traditional methods. The research contributes to automati…

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This paper examines the framework for non-financial reporting on climate risks and opportunities, aligning with global disclosure standards such as TCFD and ISSB. It discusses improving report quality and usefulness for investor decision-ma…

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This paper proposes a dual-purpose accounting framework for the net-zero transition, integrating financial and carbon accounting to enable consistent reporting of emission reductions and financial performance. It aims to enhance transition …

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This study proposes and validates a machine learning-based approach to analyze corporate climate disclosures, highlighting the use of AI for assessing disclosure quality and compliance.

Qorriyeva Shahnoza Safarbayevna

This paper analyzes green project financing in Uzbekistan. From 2020-2024, renewable capacity grew to ~5,434 MW, SDG bonds of USD 235M and a sovereign green Eurobond of USD 350M were issued. However, regulatory, capital market, and transmis…

Adel Elgammal

This study proposes a hybrid floating offshore wind-solar platform and validates its design using an AI optimization framework combining machine learning, deep reinforcement learning, and genetic algorithms. Results show 32% higher energy o…