gxceed
← 論文一覧に戻る

Behavioral and Technological Barriers in Renewable Energy Adoption: A Socio-Technical Perspective

再生可能エネルギー導入における行動的・技術的障壁:社会技術的視点 (AI 翻訳)

Rachita R., Dr. Manish Kumar

Zenodo (CERN European Organization for Nuclear Research)📚 査読済 / ジャーナル2026-04-15#再生可能エネルギー
DOI: 10.5281/zenodo.19592959
原典: https://doi.org/10.5281/zenodo.19592959

🤖 gxceed AI 要約

日本語

本論文は、再生可能エネルギー導入の障壁を行動的・技術的側面から社会技術的に分析する。心理的、文化的、インフラ、規制、金融、系統統合の6次元に分類し、家計・産業・政策レベルでの意思決定に影響する要因を検討。技術的には、間欠性、蓄電制約、系統互換性、サイバーリスク、サプライチェーン依存などを定量データで評価。行動洞察と技術革新、政策手段を統合した社会技術的相互作用フレームワークを提案し、同時進行的な対策の必要性を強調する。

English

This paper presents a socio-technical analysis of behavioral and technological barriers to renewable energy adoption. It categorizes barriers into six dimensions: psychological, cultural, infrastructural, regulatory, financial, and grid integration. Using quantitative data, it examines issues like intermittency, storage limits, grid compatibility, cybersecurity, and supply chains. The proposed framework integrates behavioral insights, technology paths, and policy tools, emphasizing simultaneous development of infrastructure, institutional reform, and social acceptance.

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

日本ではFIT後の再エネ導入拡大が課題であり、本論文の障壁分類は日本の地域間連系線や系統制約、住民合意形成などの実務に示唆を与える。特に社会受容性と制度設計の同時進展が必要とする点は、日本のエネルギー政策に重要な視座を提供する。

In the global GX context

Globally, this paper addresses the persistent gap between renewable energy cost declines and adoption rates. It provides a comprehensive taxonomy of barriers that informs policy design and investment strategies, especially in grid integration and behavioral aspects. The socio-technical framework is relevant for countries like Germany, China, and the US facing similar adoption challenges.

👥 読者別の含意

🔬研究者:Provides a structured framework for analyzing renewable energy adoption barriers, useful for building integrated socio-technical models.

🏢実務担当者:Offers a checklist of barriers that corporate sustainability teams can consider when planning renewable energy procurement or onsite generation.

🏛政策担当者:Highlights the need for coordinated policies addressing infrastructure, regulation, and social acceptance beyond just economic incentives.

📄 Abstract(原文)

Over the last twenty years, the global energy sector has seen rapid technological progress and a notable drop in the costs of renewable energy technologies [1][2]. Solar photovoltaic module prices fell by more than 89% between 2010 and 2022, while onshore wind costs decreased by nearly 69% in the same period [1]. Despite this, adoption rates remain uneven worldwide and consistently fall short of projected targets [3]. This gap is not just due to economic or technical issues. The use of renewable energy involves complex dynamics that include technology systems, institutional structures, market mechanisms, and human behavior [4]. This paper presents a detailed socio-technical analysis of the behavioral and technological barriers that hinder renewable energy adoption. Barriers are categorized into six dimensions: psychological, cultural, infrastructural, regulatory, financial, and grid integration. The study critically looks at how social perception, institutional trust, risk aversion, and resistance to change affect adoption decisions at household, industrial, and policy levels [5]. On the technology side, the paper rigorously analyzes issues like intermittency, energy storage limitations, grid compatibility problems, cybersecurity risks, and supply chain dependencies, using quantitative data and empirical evidence [6]. A socio-technical interaction framework is suggested that it brings together behavioral insights, technology innovation paths, and policy tools. The findings show that transitions to renewable energy need the simultaneous development of technology infrastructure, institutional reform, and social acceptance, rather than just engineering improvements.

🔗 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。