Tag Archives: Clean power Research

ACP Statement on Advanced Manufacturing Production Tax Credit Guidance

Posted on February 11, 2024 by Now.Solar

The American Clean Power Association (ACP) released the following statement from ACP Chief Advocacy Officer JC Sandberg after the U.S. Treasury Department issued guidance today on the Advanced Manufacturing Production Tax Credit.   “We commend the Administration for the work that went into … Continue reading →

Posted in Grid Interactive Distributed Solar Energy Systems, Renewables, Solar, Solar Policy, Solar PV | Tagged , , , , , , , , , , , | Leave a comment

Pattern Energy Closes $11 Billion Financing of Largest Clean Energy Infrastructure Project in U.S. History

Posted on January 6, 2024 by Now.Solar

Full construction underway on SunZia Transmission and SunZia Wind, bringing clean power to 3 million Americans and over $20 billion in expected economic impacts. Pattern Energy Group LP (Pattern Energy), a leader in renewable energy and transmission infrastructure, has closed … Continue reading →

Posted in Grid Interactive Distributed Solar Energy Systems, Renewable Energy Certificates, Renewable Purchase Obligation, Renewables, Solar, Solar Policy, Solar PV | Tagged , , , , , , , , , , , | Leave a comment

ACP Statement on BOEM Modernization Rule Decision

Posted on December 1, 2023 by Now.Solar

The American Clean Power Association (ACP) today praised the Bureau of Ocean Energy Management’s (BOEM) issuance of its proposed Renewable Energy Modernization Rule. ACP is encouraged by BOEM’s efforts to improve offshore wind leasing, permitting, and safety regulations, which have … Continue reading →

Posted in Grid Interactive Distributed Solar Energy Systems, Renewables, Solar, Solar Parks, Solar Policy, Solar Pumps, Solar PV, Solar Thermal, solar water heating | Tagged , , , , , , , , , | Leave a comment

Environmental data: how solar modelling software is taking blind spots out of PV output and O&M downtime

Posted on September 4, 2013 by Ritesh Pothan

A software company from California is making some inroads in predictive modelling for the solar industry. We look at how it is using weather variables, such as the effect of snow on solar generation and predictive data to make solar … Continue reading →

Posted in Solar | Tagged , , , , , , , , , | Leave a comment