Author
Listed:
- Wang, Qiong
- Chen, Yinuo
- Chen, Meng
- Zhao, Nannan
- Liu, Yanfeng
- Li, Yong
- Jiang, Zhiyuan
- Qu, Zhiguo
Abstract
Deploying rooftop photovoltaic (RTPV) systems is critical for steel mills to advance carbon neutrality, yet efficiency attenuation from industrial heat sources and dust accumulation, alongside suboptimal energy storage configuration, remain unresolved bottlenecks. This study proposes three targeted innovations to address these challenges, with research conducted on a steel mill in Ma'anshan City, Anhui Province. First, a temperature field-guided PV layout with 26.5 °C as the zoning threshold (from 10 layout modes). Avoiding high-temperature zones (≥26.5 °C) reduces annual temperature loss by 47.37%, lowers LCOE by 8.3% (0.156 → 0.143 CNY/kWh), and shortens the payback period by 1.91% versus full-roof installation. Second, User-side energy storage (UESS) is optimal for high-load scenarios. Based on 12 typical meteorological days (TMDs), UESS cuts daily costs by 24.9% (vs. grid-only) and 6.1% (vs. SESS), overcoming SESS's limitation of service fees offsetting arbitrage gains. Third, an energy storage optimization framework integrating temperature and dust losses. This increases optimal UESS capacity by 2.6% (to 23.566 MWh), boosts peak-valley revenue by 3.1%, and avoids peak-hour shortages. The proposed technical system provides a transferable reference for PV-storage configuration optimization in high-energy-consuming enterprises and industrial buildings with internal heat sources.
Suggested Citation
Wang, Qiong & Chen, Yinuo & Chen, Meng & Zhao, Nannan & Liu, Yanfeng & Li, Yong & Jiang, Zhiyuan & Qu, Zhiguo, 2026.
"Optimization of rooftop PV system design and energy storage dispatch in steel mills: Accounting for quantified workshop temperature and dust losses,"
Energy, Elsevier, vol. 355(C).
Handle:
RePEc:eee:energy:v:355:y:2026:i:c:s0360544226011977
DOI: 10.1016/j.energy.2026.141092
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