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集約化は常に良いのか：太陽光発電導入における発電・雇用アクセス・気候緩和のバランス

Is more aggregated better? Balancing power generation, employment accessibility, and climate mitigation in photovoltaic deployment (原題)

Qi Yuan, Jing Shao, Hai-Qiang Guo, Bin Zhao

Applied Energy📚 査読済 / ジャーナル2026-10-20#再生可能エネルギーOrigin: CN対象セクター: power
DOI: 10.1016/j.apenergy.2026.129103
原典: https://doi.org/10.1016/j.apenergy.2026.129103

🤖 gxceed AI 要約

日本語

中国全土の太陽光発電所30,023基の地理空間データを統合し、立地の集約度が発電潜在力・地域の雇用アクセス・純気候緩和便益に与える影響を「総合便益（TCB）」として評価した研究。湿潤・半湿潤地域では高集約でTCBが最大化する一方、乾燥地域では集約が進むほどTCBが単調に低下する非線形パターンを発見した。現行導入の多くが高便益の集約範囲を外れており、集約化が常に土地価値を高めるわけではないことを示す。

English

Using geospatial data on 30,023 PV plants across China, this study links deployment aggregation to power-generation potential, local employment accessibility, and net climate-mitigation benefit, summarized as total composite benefit (TCB). TCB peaked at high aggregation in humid and sub-humid regions but declined monotonically with further aggregation in arid regions. Much of current capacity falls outside empirically high-benefit aggregation ranges, showing that more concentrated PV deployment does not necessarily yield greater land-use value.

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

日本でも大規模太陽光の適地不足と地域共生が政策課題となっており、集約度と地域便益のトレードオフを定量化する本手法は、再エネ導入計画や地域合意形成の評価枠組みとして参考になる。

In the global GX context

As global renewables build-out accelerates under net-zero pathways, this offers an empirical framework for balancing land-use efficiency, local community benefit, and climate outcomes—relevant to transition-planning and just-transition debates beyond disclosure frameworks.

👥 読者別の含意

🔬研究者:PV立地の集約度と複数便益の非線形関係を定量化するsite-to-region手法は、再エネ立地研究の実証ベンチマークとなる。

🏢実務担当者:大規模再エネ拠点の立地選定や地域雇用・合意形成の評価に、集約度別の便益指標を活用できる。

🏛政策担当者:再エネ適地計画や地域共生政策において、集約一辺倒ではなく地域別の高便益レンジを考慮する根拠を提供する。

📄 Abstract（原文）

The rapid expansion of photovoltaic (PV) deployment, together with its growing concentration in large renewable-energy bases, has intensified the need to reassess PV land-use value. However, whether greater spatial aggregation consistently improves power, employment, and climate outcomes remains unclear. Here, we integrated multi-source geospatial data from 30,023 PV plants across China to build a site-to-region framework. This framework links PV aggregation to power-generation potential, population-based local accessibility, and net climate-mitigation benefit, and summarizes their joint performance as total composite benefit (TCB). We found a climate-specific non-linear pattern: TCB peaked at high aggregation in humid and sub-humid regions (76.7% and 62.1%, respectively), but declined monotonically with further aggregation in arid regions. Across regions, aggregation delivered larger gains in power-generation potential than in local accessibility or climate mitigation, and this imbalance became stronger as aggregation increased. Current deployment often falls outside the empirically identified high-benefit aggregation ranges, including 64.0% of PV capacity (42.9 GW) in arid high-demand areas and 87.1% (89.17 GW) in sub-humid flat terrains. These findings show that more concentrated PV deployment is not necessarily associated with greater land-use value. Our framework provides empirical benchmarks for evaluating PV aggregation and informing more balanced PV deployment across power-generation potential, local employment accessibility, and climate outcomes.

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