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Hungarian 150MW solar power plant project obtains $125m investment proposal
by Staff Writers
Orlando FL (SPX) Feb 07, 2020

File image of a large scale solar farm in Hugary build by Photon Energy

With the EU raising the price of lignite in an effort to reduce greenhouse gases and fight against climate change, the Hungarian government has decided to turn toward renewable energy as a source of power. With a view to increasing solar panels from 500MW to 30,000MW by 2022, Hungary is seeking to step away from coal and other fossil fuels towards more sustainable energy sources.

The 150MW (megawatt) project will be split into three groundmounted 50MW solar plants in targeted areas of the country using the best available solar PV technology on the market. These solar plants will then feed into the national grid as energy security and diversification of sources has become a priority issue within the country, and the EU at large.

This solar project is a perfect fit in Capital Corp's ongoing Green Energy Initiative, which has been active for well over a decade.

Mr Gilles Herard, Jr, Capital Corp Merchant Banking's Managing Director, structured the funding proposal for this project.

Most of Hungary's power demand is met through importation, and the country's National Energy Strategy aims to increase its share of renewable sources of energy. This project will dovetail into the country's efforts to reduce energy dependency and increase efficiency through the use of renewables, among others.


Related Links
Capital Corp Merchant Banking
All About Solar Energy at SolarDaily.com


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SOLAR DAILY
Solar Resource Compass improves solar irradiance data selection and estimates impacts of soiling and snow
Oakland US (SPX) Feb 07, 2020
DNV GL has launched a new online tool, Solar Resource Compass, that aggregates solar irradiance from many leading data providers to help users make more informed decisions about the data available and the variance between data sources. Solar Resource Compass also leverages analytics developed by DNV GL over the last 20 years to identify outliers to help users avoid selecting the wrong data for a solar project. It also estimates loss factors for dust soiling and snow accumulation based on historical prec ... read more

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