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Beyond Net Metering: Design and Performance of a Hybrid Solar Strategy for Cost Efficiency and Security of Supply in Intermittent Urban Grids

ネットメータリングを超えて:断続的な都市グリッドにおけるコスト効率と供給安定性のためのハイブリッド太陽光戦略の設計と性能 (AI 翻訳)

Esquicha-Tejada JD, Esquicha-Larico ED, Esquicha-Tejada VR, Reaño-Soto IE, Mamani-Machaca ES

Research Squareプレプリント2026-07-09#再生可能エネルギー経営インパクト: コスト削減対象セクター: power
DOI: 10.20944/preprints202607.0698.v1
原典: https://doi.org/10.20944/preprints202607.0698.v1

🤖 gxceed AI 要約

日本語

ペルー・アレキパでの54ヶ月の実証から、出力制限された太陽光発電システムの経済性とレジリエンス効果を評価。ゼロエクスポート制約下では自己消費率96.3%を達成したが、投資は回収できず(NPV-885ドル)。一方、ネットメータリング導入によりNPVは+4,587ドルに転換。制御機構の重要性を実証し、Uメトリクスという国際比較可能な指標を提案。

English

A 54-month empirical study in Arequipa, Peru, evaluates a zero-export solar PV system with IoT-managed backup. Under export restriction, self-consumption index reached 96.3% but net present value was negative (-USD 885). Scenario modeling shows enabling net metering reverses NPV to +USD 4,587. The study introduces a utilization ratio (U) metric for standardized reporting and highlights that regulatory mechanisms determine profitability of identical hardware.

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卒業後の自家消費型太陽光が注目されている。本論文のUメトリクスは、余剰電力の扱いによる収益性の違いを可視化する手法として参考になる。ただしペルーの電力事情(停電頻発)は日本と異なるため、レジリエンス便益の定量化方法に限定した示唆となる。

In the global GX context

The paper provides empirical evidence that regulatory frameworks (zero-export vs. net metering) can flip distributed solar from value-destroying to highly profitable. The proposed U metric offers a standardized way to compare utilization across jurisdictions, useful for global policy evaluation. The resilience benefits through backup architecture are particularly relevant for grids with frequent outages in developing countries.

👥 読者別の含意

🔬研究者:The U metric and empirical methodology for quantifying regulatory impact on solar economics can be replicated in other contexts.

🏢実務担当者:The sizing rules and backup architecture design offer a blueprint for installing cost-effective solar-plus-storage in export-restricted grids.

🏛政策担当者:The study demonstrates that net metering or net billing can dramatically improve the business case for residential PV, providing evidence for policy reform.

📄 Abstract(原文)

Distributed generation offers a critical pathway to sustainable urban energy; however, in-complete regulatory frameworks in emerging economies frequently force residential pho-tovoltaic (PV) systems into export-restricted operation. This study quantifies the empirical performance and opportunity costs of a demand-matched, zero-export PV system paired with an Internet of Things (IoT)-managed backup tier. A 54-month longitudinal sin-gle-case evaluation was conducted in Arequipa, Peru, utilizing a 1.36 kWp grid-tied array and a 0.6 kWh/day decoupled backup subsystem. Performance was rigorously bench-marked against a fully metered pre-PV counterfactual. The zero-export constraint man-dated a 96.3% self-consumption index (SCI), capping the self-sufficiency index (SSI) at 38.7% and yielding a utilization ratio (U) of only 24.1% against the site's technical poten-tial. Economically, the status quo produced a negative net present value (NPV) of −USD 885. However, scenario modeling demonstrated that activating a net-billing or net-metering framework robustly reversed the NPV to +USD 792 and +USD 4,587, respec-tively. Furthermore, the decoupled backup architecture successfully mitigated 97.7% of 43 recorded grid outages at a resilience cost of USD 3.2 per protected hour. The headline finding is therefore institutional, not technological: identical hardware shifts from val-ue-destroying to highly profitable purely through the regulatory mechanism governing surplus energy. We present two replicable sizing rules and propose the U metric to trans-late regulatory impasse into an internationally standardized reporting parameter, provid-ing an evidence-based roadmap for accelerating decentralized renewable energy in re-source-constrained grids (SDG 7, SDG 11).

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