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南アフリカにおける屋上太陽光発電導入の評価:ドライバー、制約、公平性への影響のシステムダイナミクス分析

An assessment of rooftop solar photovoltaic adoption in South Africa: A system dynamics analysis of drivers, constraints, and equity implications (原題)

Mathibedi, Gontse Steven, Mokgohloa, Kgabo, Seadira, Tumelo, Ramdass, Kemlall

Renewable Energies ; volume 4, issue 1 ; ISSN 2753-3735 2753-3735📚 査読済 / ジャーナル2026#再生可能エネルギー対象セクター: power
DOI: 10.1177/27533735261438308
原典: https://doi.org/10.1177/27533735261438308

🤖 gxceed AI 要約

日本語

南アフリカの屋上太陽光発電の急成長をシステムダイナミクスで分析。停電が導入を促進し、CO2排出削減に寄与する一方、高コストと天候が農村部の導入を阻害し、不公平を拡大。地方補助金や系統強化などの政策提言を行う。

English

This study uses system dynamics to analyze the rapid growth of rooftop solar PV in South Africa, driven by load shedding. It finds reinforcing feedback loops that cut emissions but also highlights equity issues: high costs and weather limit rural adoption. Recommends subsidies and grid upgrades for a just transition.

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

南アフリカの事例は、日本の再生可能エネルギー導入やSSBJ開示における公正な移行の議論に示唆を与える。特に、エネルギー転換の社会的公平性と政策設計の重要性は、日本の地域間格差やエネルギー政策にも応用可能。

In the global GX context

This paper provides empirical evidence on the drivers and equity implications of rooftop solar adoption, relevant to global discussions on just transition and energy policy. It offers insights for countries with high coal dependence and highlights the need for inclusive renewable energy policies.

👥 読者別の含意

🔬研究者:システムダイナミクスを用いた再生可能エネルギー普及のモデル化と公平性分析の参考になる。

🏢実務担当者:太陽光発電の導入促進や顧客セグメント別の戦略立案に有用な知見を提供。

🏛政策担当者:公正なエネルギー移行のための補助金や系統整備の政策設計に示唆を与える。

📄 Abstract(原文)

South Africa's electricity grid has long depended on coal for over 85% of its power, leading to severe load shedding until mid-2024 and sparking rapid growth in rooftop solar photovoltaic (PV) systems. Rooftop solar capacity jumped from around 1000 MW in 2022 to about 7300 MW by late 2025, as households and businesses sought greater energy security. This study uses System Dynamics modelling and Causal Loop Diagrams to examine the key feedback loops shaping solar PV adoption, including the historical role of power outages, the effects of weather changes, and differences in access across income groups and regions. The results reveal reinforcing cycles where power cuts strongly encouraged people to install solar, cutting grid demand and reducing carbon dioxide emissions by millions of tons each year as capacity grew. However, cloudy weather can reduce solar output, and the high cost of installation (typically R80,000 for 5 kW grid-tied system to R200,000 for 10 kW systems with storage) makes it much harder for rural households to adopt solar, with adoption rates estimated at 5–10% or lower in rural/low-income areas compared to 50–60% proxies in high-income urban areas. Ongoing revenue losses for municipalities from lower grid usage also contribute to higher electricity tariffs, which hit poorer households hardest. Even with load shedding largely suspended since mid-2024 and no recorded major incidents in 2025–2026, adoption continues due to long-term cost savings and energy independence. The study recommends stronger rural subsidies (aiming for 50% coverage), better grid upgrades to support rural areas, and improved storage options for more reliable power. These steps would help achieve the Just Energy Transition Partnership's goal of net-zero emissions by 2050 in a fair and inclusive way. Overall, this work shows how system dynamics can guide equitable renewable energy shifts in countries still heavily reliant on coal.

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