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Existing Power Plant Decarbonization in Latvian Region

ラトビア地域における既存発電所の脱炭素化 (AI 翻訳)

Giovanni Brumana, Gatis BAZBAUERS, Giuseppe Franchini, Elisa Elisa, Madara Rieksta

CONECT. International Scientific Conference of Environmental and Climate Technologies📚 査読済 / ジャーナル2026-05-08#エネルギー転換Origin: EU
DOI: 10.7250/conect.2026.004
原典: https://doi.org/10.7250/conect.2026.004
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🤖 gxceed AI 要約

日本語

本論文は、ラトビアのリガにある既存ガス火力発電所を対象に、再生可能エネルギーと水素・メタン化技術を組み合わせた脱炭素化経路を技術経済最適化により提案する。段階的な導入で100%再生可能化を達成し、最終的な水素貯蔵システムの容量はメタンシステムの約20倍となる。LCOEは0.19~0.24EUR/kWhと試算された。

English

This paper proposes a techno-economic optimization for decarbonizing an existing gas power plant in Riga, Latvia, using renewables, methanation, and hydrogen storage. The stepwise pathway achieves 100% renewable penetration, with hydrogen capacity approximately 20 times that of methane. The levelized cost of electricity ranges from 0.19 to 0.24 EUR/kWh.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

ラトビアの事例ではあるが、日本でも既存火力発電所の段階的脱炭素化や水素活用が検討されており、技術経済分析の手法は参考になる。ただし、日本の電力市場や政策環境とは異なる点に留意が必要。

In the global GX context

This study provides a detailed techno-economic framework for decarbonizing existing fossil fuel plants using hydrogen and CCUS, relevant for global energy transition planning. It demonstrates a stepwise approach that could inform similar strategies in other regions, including the EU's Fit for 55 and the US IRA context.

👥 読者別の含意

🔬研究者:The optimization methodology and comparative assessment of hydrogen vs. methane storage offer insights for energy system modeling.

🏢実務担当者:The stepwise decarbonization pathway and cost estimates can guide utilities planning retrofit strategies.

🏛政策担当者:The study highlights the cost implications and required infrastructure for full decarbonization, useful for setting realistic targets.

📄 Abstract(原文)

The global rise in energy demand is compelling the energy sector to reassess the transition from fossil fuel-based systems to renewable energy sources. However, the variability of non-dispatchable generation poses challenges to grid stability and to reliably meeting nighttime demand. Moreover, a seasonal shift from summer to winter production is necessary to further increase the share of renewable energy. Starting from previously developed model, the work proposes a path to decarbonize an existing power plant in Riga adopting a techno-economic optimization. Starting from a gas turbine power plant the 100 % decarbonization is achieved in different steps. The work aims to identify the optimal combination of power generation and storage technologies to supply the electricity demand of a city in the Latvian region with a peak load of 100 MW and an annual consumption of 700 GWh considering the best techno-economic solution. The decarbonisation path, proposed in Fig. 1, combines existing conventional gas-fired power plant integrated with the most cost-effective renewable generation technologies, namely photovoltaic systems and wind turbines adopted in Step 1. By this way the decarbonization reach only 35 % of the annual load and represents the actual achievement in most European country. To fully decarbonize power generation, the only way is to supply green methane to the power plant. The proposed solution, in step 2, included methanation starting from CO2 capture and hydrogen from renewable electricity surplus. Step 2 reach 100 % of renewable energy sources but the price reach 0.24 EUR/ kWh. The step number 3 proposes the most advanced hydrogen storage with fuel cell ion the aim of gas turbine substitution at the end of gas turbine operation reaching a 0.19 EUR/kWh. The analysis is based on TRNSYS numerical modelling combined with multivariable particle swarm optimization to minimize the levelized cost of electricity (LCOE). Overall, the findings highlight the critical role of the hydrogen system, whose capacity is approximately twenty times greater than that of the methane system.

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