← 論文一覧に戻る

Multiscale and multidimensional analysis of wind and solar energy potentials

風力・太陽光エネルギーポテンシャルのマルチスケール・多次元解析 (AI 翻訳)

Leon Sander

FreiDok plus (Universitätsbibliothek Freiburg)ジャーナル2026-07-13#再生可能エネルギー対象セクター: power
DOI: 10.6094/unifr/284475
原典: https://doi.org/10.6094/unifr/284475

🤖 gxceed AI 要約

日本語

本論文は、陸上風力・洋上風力・メガソーラー・屋根置き太陽光の4つの再生可能エネルギー経路について、気象・地理・技術・経済・社会的側面からポテンシャルを多角的に評価する。各経路の不確実性とデータ制約を特定し、洋上風力と屋根置き太陽光が特に有望と結論づける。政策立案者や利害関係者に、信頼性の高いポテンシャル評価に基づく再エネ導入優先順位の枠組みを提供する。

English

This thesis evaluates the potential of four renewable energy pathways: onshore wind, offshore wind, utility-scale PV, and rooftop PV, from meteorological, geographical, technical, economic, and social perspectives. It identifies data gaps and uncertainties, and highlights offshore wind and rooftop solar as especially promising. It provides policymakers with a framework to prioritize renewable expansion based on reliable, data-driven assessments.

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

日本の再エネ導入拡大、特に洋上風力と屋根置き太陽光のポテンシャル評価に重要な知見を提供する。SSBJ等の情報開示とは直接関係しないが、再エネ電源調達や設備投資計画の基礎資料として有用。国内の高解像度データ整備の必要性も示唆する。

In the global GX context

This work contributes to global energy transition planning by offering a comprehensive framework for assessing renewable energy potentials, integrating meteorological and socio-economic factors. It is relevant for countries designing renewable policies, especially offshore wind and distributed solar, and for improving data infrastructure to support decarbonization pathways.

👥 読者別の含意

🔬研究者:Provides a systematic methodology and identifies data gaps for renewable potential assessment, useful for further research on VRE integration and resource variability.

🏢実務担当者:Can inform site selection and renewable project planning, particularly for offshore wind and rooftop PV, by highlighting key constraints and data priorities.

🏛政策担当者:Offers a pragmatic framework to prioritize renewable pathways and regions based on potential reliability, helping to set realistic targets and investment strategies.

📄 Abstract(原文)

Deploying renewable energy is a cornerstone of climate change mitigation and the transition to sustainable energy systems. Wind and solar power are projected to become the dominant electricity sources in future energy mixes. Accurate assessment of their potential is therefore indispensable, yet such assessment must simultaneously consider meteorological, geographical, technical, economic, and implementation-related aspects. Because wind and solar power are weather- and climate-dependent variable renewable energies (VREs), meteorological potential is a key determinant and essential for effectively decarbonizing energy systems. This thesis examines four utilization pathways of VRE: (1) onshore wind, (2) offshore wind, (3) utility-scale photovoltaics (PV), and (4) rooftop PV. The thesis asks and discusses: (i) how reliably the potential levels of each pathway can be estimated, (ii) which pathways are particularly promising because of large potentials and low uncertainties, and (iii) what steps need to be taken to better assess, exploit, and realize those potentials. The reliability and availability of ground-based solar irradiance observations are evaluated, and the spatiotemporal variability of the solar and offshore wind resource is quantified. Moreover, geographical, technical, environmental, and socio-economic drivers for VRE expansion are analyzed. A suite of datasets, modeling approaches, and evaluation criteria is tested across spatial (local to global) and temporal (intra-daily to inter-annual) scales. The four studies included in this thesis highlight that, from a meteorological perspective, the overall potential of VRE is vast, particularly for offshore wind resources, but is subject to substantial spatial and temporal variations. This underscores, first, that site selection is crucial, and second, that multiple VRE sources located at different sites must complement each other to ensure a constant supply. Because of coarse, gridded data products and the absence of dense measurement networks, it is especially complex to estimate small-scale spatial resource variability (e.g., in urban areas). With regard to geographical restrictions, the finer the spatial scale analyzed, the more difficult it becomes to estimate potential. Fundamentally, analyses of meteorological and geographical potentials require compromises between large spatial and temporal extents and high spatial and temporal resolutions. Technical advances in wind and solar energy are of great importance for the efficient use of VRE and are capable of compensating for potential climate change-driven declines in resource availability. Social acceptance is a powerful barrier for implementing VRE projects. For the four VRE utilization pathways, concrete barriers to precise potential assessments emerge: 1. Onshore wind: no standardized before-after control-impact (BACI) framework for quantifying multiple environmental impacts across regions, limiting social acceptance; 2. Offshore wind: uncertainties in designated sea areas, capacity targets, turbine technologies, and climate change-induced changes in wind resource variability; 3. Utility-scale PV: sparse, inconsistent ground-based irradiance data, impeding reliable resource mapping; 4. Rooftop PV: lack of high-resolution building and roof inventory data, and intra-urban solar irradiance models applicable to national scales. Considering the substantial, still largely untapped potential, offshore wind energy and rooftop solar PV systems present especially promising opportunities for expanding VRE that could be socially accepted because they involve lower land use competition. However, their accurate potential assessment still faces major challenges and uncertainties that must be overcome. By pinpointing these data and methodological gaps and proposing ways to address them, this thesis outlines the specific research, data collection, and methodological developments required to build a robust knowledge base for the sustainable expansion of renewables worldwide. Consequently, the findings provide a solid foundation for future research that can close the identified gaps, while simultaneously furnishing policymakers and stakeholders with a pragmatic framework to prioritize those VRE pathways and regions that are both promising and amenable to reliable, data-driven potential assessments. Through a combination of good scientific practice and social willingness, evidence-based, rational decisions can be made that promote a sustainable transformation of the energy system.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。