IoTベース監視を用いた自家消費・自給率指標による屋根置き太陽光発電統合の性能評価

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:低コストIoT計測とSCR/SSR指標による住宅PV系統連系評価の実証例を提供する。

🏢実務担当者:自家消費率・自給率の可視化により、屋根置きPV導入効果や系統依存度を定量的に把握できる。

🏛政策担当者:分散型PVの系統影響評価と自家消費促進政策の設計に資する計測フレームワークを示す。

Indonesia’s energy transition has increased the importance of rooftop photovoltaic (PV) systems, yet their integration with the PLN grid remains challenging because intermittent generation affects supply-demand balance and complicates the evaluation of local PV utilization. This study proposes and evaluates a low-cost internet of things (IoT)-based AC-side monitoring system for residential rooftop PV integration using an ESP32 microcontroller and PZEM-004T energy sensors. The proposed framework monitors three measurement points, namely PV output, grid line, and household load, and classifies the operating condition into export and import states. Based on measured historical field data, the operational performance of the system is assessed using the self-consumption ratio (SCR) and self-sufficiency ratio (SSR). The results show that PV generation dominates during daytime operation, whereas household demand becomes increasingly dependent on the PLN grid from late afternoon to night. Across the observation period, daily SCR ranges from 1.08% to 6.86%, while daily SSR ranges from 3.07% to 74.61%, indicating limited overall self-consumption but relatively strong daytime load support. These findings show that the proposed low-cost AC-side IoT monitoring framework can effectively quantify rooftop PV-grid interaction and provide a practical basis for evaluating local PV utilization and grid dependence under actual household operating conditions.

• Zenodo https://zenodo.org/records/22761394first seen 2026-09-15 04:12:41