Enhancing precision with new SolarAnywhere® sub-hourly TMY data
Clean Power Research® is thrilled to announce the launch of SolarAnywhere® Sub-Hourly Typical Meteorological Year (TMY) irradiance and weather data! This feature provides SolarAnywhere customers with sub-hourly data, enhancing the precision of solar resource...
| Oct 9, 2024 Enhancing precision with new SolarAnywhere® sub-hourly TMY data
Clean Power Research® is thrilled to announce the launch of SolarAnywhere® Sub-Hourly Typical Meteorological Year (TMY) irradiance and weather data! This feature provides SolarAnywhere customers with sub-hourly data, enhancing the precision of solar resource...
Investigating variation of soiling and snow loss models using SolarAnywhere® data
Soiling and snow on PV systems can lead to significant annual energy losses, reaching up to 50%1 and 40%2 in certain regions. Our study investigates common models for estimating soiling and snow-related energy impacts. By analyzing these soiling and snow loss models...
SolarAnywhere Data Version 3.8 includes new high latitude irradiance data
Clean Power Research® releases a new SolarAnywhere® data version annually. This year’s update addresses the changing needs of the solar industry as projects expand to more northern, snowy locations with appreciable wind risk by offering new high-latitude irradiance...
2024 Solar Risk Assessment report: Data-driven insights address emerging risks
This sixth annual Solar Risk Assessment (SRA) report is now available, offering deep insights into extreme weather and operational risk, and for the first time, battery energy storage system (BESS) risk. The report is published by kWh Analytics and features articles...
Reduce uncertainty with higher-resolution typical year solar resource data
Typical year irradiance datasets (TGY, TDY) summarize solar resource at a location. This data is generated to reflect the most probable (P50) monthly total irradiance, based on a long history of solar resource. SolarAnywhere calculates typical year data from a maximum...
Case study: BayWA r.e. reduces OPEX by transitioning from aging and obsolete instrumentation to SolarAnywhere®
BayWa r.e. Operations Services LLC provides O&M services for a fleet of ~1 GW of renewable energy assets, both owned by BayWa r.e. and assets of other clients. Services include a real-time comparison of actual to expected, weather-adjusted energy output. This...
Case study: Zeitview ensures advanced energy system inspection quality with SolarAnywhere®
Zeitview (formerly known as DroneBase) is an innovator in the field of aerial energy system inspections. They recently launched North American Solar Scan, a service that provides insight into every solar asset in the U.S. above 1MW. Zeitview utilizes planes and drones...
Case study: Invenergy Services drives operational excellence with SolarAnywhere®
On-site meteorological stations and site-specific satellite data work together in this case study featuring Invenergy Services. Invenergy Services is a clean energy asset O&M provider that has honed its offerings through 20 years of experience and a portfolio of...
SolarAnywhere® 2023 updates advance modeling accuracy for bifacial, terrain shading and wildfire risk assessment + Postman API documentation
Globally, the cumulative installed capacity of solar PV is set to triple by 2027, accounting for nearly 22% of total power capacity. With this rapid expansion and growth of solar in diverse geographical and climatic regions, solar stakeholders now face unprecedented...
SolarAnywhere® Data accuracy independently validated by Fraunhofer ISE
While weather data is just one of many inputs into PV modeling tools, data accuracy plays a key role in reducing PV project uncertainty and risk. As a result, we frequently are asked “How accurate is SolarAnywhere® Data?” This is a question we take seriously. In fact,...