Prospect
光伏站点太阳能潜力快速评估
新一代 Solargis Evaluate：集数据、光伏设计与模拟、分析和报告于一体的云端解决方案。了解更多 ->Solargis Evaluate
Optimizing power plant design, Real power plant performance
Due to high variability in cloud cover, PV power production fluctuates. This creates a challenge for grid operators who need to balance the electricity network.
The PV Variability & Storage Optimization Study delivers statistical data and insights to project developers, which are needed to design and manage PV-plus-storage systems.
The study provides the most realistic data on PV power generation for grid integration analysis.
To effectively design and operate a hybrid PV and battery energy storage system (BESS) plant, you need the right inputs integrated from multiple sources.
High-resolution solar irradiance data, together with energy simulation and storage dispatch modeling solutions – all combined with forecasted energy outputs – will lead you to the optimum design of your hybrid system.
To meet the restrictions of off-takers and grid operators, PV plant owners need to understand PV energy output variability.
The study will describe the pattern of variability and power fluctuations, as well as the smoothing capabilities of the storage system, allowing you to be more confident that your PV plant will perform according to your expectations.
Smarter ways of managing energy trading on the spot markets have become necessary to make hybrid systems more competitive.
The PV Variability & Storage Optimization Study provides you with insights to make business decisions that will match your energy production profile with energy demand.
This web service provides recent historical data for solar power plants in operation.
The API provides flexibility to request solar radiation, meteorological parameters for various time aggregations.
You can also receive PV energy production data when you provide configuration of a PV energy system in your data request.
