A Spatially Integrated Techno-Economic Framework for Italy’s Carbon-Neutral Power Mix by 2050
イタリアの2050年カーボンニュートラル電源構成のための空間統合的技術経済分析フレームワーク (AI 翻訳)
Aseed Ur Rehman
🤖 gxceed AI 要約
日本語
本論文は、GISと時間別シミュレーションを統合した枠組みを用いて、イタリアの2050年カーボンニュートラル電力システムへの移行を評価する。風力主体の構成が最適であり、水素変換とEV制御充電が需給バランスに有効であることを示す。2つのシナリオ(再エネのみと原子力含む)を比較し、技術的・経済的実現可能性を確認した。
English
This thesis develops an integrated GIS and hourly simulation framework for Italy's 2050 carbon-neutral electricity system. It identifies a wind-dominant renewable mix as optimal and demonstrates that hydrogen storage and controlled EV charging effectively balance supply and demand. Two scenarios (renewable-only and nuclear-inclusive) are compared, confirming technical and economic feasibility.
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
本論文はイタリアを対象としているが、日本においても高い再エネ導入時の系統安定化や水素・EVの柔軟性活用という共通課題に示唆を与える。特に、GISと時間別シミュレーションを組み合わせた分析手法は、日本の地域特性を考慮した電源構成検討にも応用可能である。
In the global GX context
This paper provides a robust analytical framework for national power system transition, combining spatial screening with hourly energy system modeling. It highlights the critical role of hydrogen and EV flexibility in managing high renewable penetration. The methodology is transferable to other countries facing similar decarbonization challenges.
👥 読者別の含意
🔬研究者:This work offers a replicable framework integrating spatial and temporal analysis for renewable deployment and flexibility optimization.
🏢実務担当者:Insights into optimal renewable mix and flexibility configurations can inform system planning and investment decisions.
🏛政策担当者:The comparison of renewable-only and nuclear-inclusive pathways highlights trade-offs for long-term energy policy.
📄 Abstract(原文)
This thesis develops an integrated analytical framework to assess Italy’s transition toward a deeply decarbonized electricity system by 2050. The approach relies on three complementary analytical layers: GIS-based spatial screening, a PV/wind share-sweep analysis, and detailed hourly national energy-system simulations. The GIS analysis provides a high-resolution understanding of regional feasibility for solar and wind installations by mapping land-use constraints, protected areas, elevation limits, and settlement patterns. Importantly, this spatial layer is used exclusively for contextual screening rather than for computing national PV or wind potentials. Annual generation inputs for the share-sweep are instead derived from representative TRNSYS-based hourly profiles. Using these profiles, a parametric PV/wind share-sweep evaluates one thousand renewable configurations to illustrate how different mixes influence long-duration storage requirements. The analysis identifies a wind-dominant ratio (around 83% wind and 17% solar PV) as the configuration with the lowest residual-load imbalance, driven by the complementary seasonal and diurnal patterns of the two resources. Because Part I optimization is based on 2022 electricity demand, its results are not directly transferred to the 2050 scenarios, which instead follow PNIEC-aligned renewable capacities to ensure feasibility. Two national scenarios, Decor-2050 (renewable-only) and WNuclear-2050 (nuclear-inclusive), are simulated using the EnergyPLAN model to assess system operation, curtailment, balancing behaviour, and techno-economic performance. The analysis includes a structured evaluation of integrated flexibility configurations, combining hydrogen conversion and storage with controlled EV charging within a coordinated sector-coupling framework. Results show that hydrogen reconversion provides the primary structural reduction in surplus and deficit imbalances, while managed EV charging offers complementary short-term demand alignment with renewable availability. The combined flexibility configurations demonstrate enhanced balancing performance compared to individual mechanisms implemented in isolation. Across all evaluated dimensions, Decor-2050 and WNuclear-2050 exhibit distinct operational behaviours. Decor-2050 achieves very high renewable penetration but experiences stronger seasonal imbalances due to its PV-heavy structure. WNuclear-2050 moderates extreme surpluses through firm low-carbon generation but shows slightly higher curtailment pressure. Economic indicators confirm that both pathways are financially viable under a range of electricity-price assumptions, although system costs and profitability differ with their respective capacity mixes. Decor-2050 delivers around 545 TWh of RES electricity and reduces national CO2 emissions to approximately 20-25 Mt, while WNuclear-2050 brings emissions even lower by adding 64 TWh of firm nuclear production. Both pathways experience comparable annual mismatch volumes (nearly 250 TWh of surplus and deficit energy), confirming the importance of hydrogen storage and EV flexibility. Overall, this thesis shows that Italy can transition to a highly renewable electricity system that is technically feasible, regionally grounded, and supported by appropriate flexibility strategies. By integrating GIS screening, a share-sweep assessment, and hourly national simulation within a unified analytical framework, the work provides actionable insights for policymakers, regional planners, and investors shaping Italy’s long-term decarbonization strategy.
🔗 Provenance — このレコードを発見したソース
- openalex https://hdl.handle.net/11367/160199first seen 2026-05-15 16:41:26
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