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Following the publication of edie’s insight report which investigated the future of sustainable construction, this one-hour webinar brings together industry leaders and experts to discuss the various challenges and opportunities facing low-carbon, resource-efficient construction. Construction is entering a dynamic new era. Reinvigorated by unprecedented technological advancements and game-changing energy innovations, the sector now has a unique opportunity to ensure that green business lies at the very core of the industry’s future progress.

For ten years, the University of Michigan and Muhlenberg College have conducted the National Surveys on Energy and Environment (NSEE), which explore Americans’ attitudes towards energy and climate change. The researchers recently published Solar, Wind, and State Mandates: 10 Years of Renewable Energy in the NSEE, which considers how Americans’ views on solar and wind energy have changed over the past decade. The report also explores attitudes towards and knowledge of state energy mandates, such as renewable portfolio standards. In this webinar, lead author Sarah Mills discussed the report’s findings and revealed the results of a new 2018 survey.

From electric vehicles and vehicle-to-grid technology, to microgrids and digital power plants, the pace at which the energy industry is changing is both exciting and alarming. How are power generation providers keeping up? What technologies are being developed today that are addressing an increasingly connected, digitized, electrified world? Hear from a panel of experts about what is new and emerging in the power generation industry and how large companies are deciding where to invest and why.

In our webinar, DNV and Southern Company discussed errors in PV simulations caused by hourly resolution weather data and DNV’s method for correcting the hourly modeling error. At the end of the webinar, attendees will understand: What hourly modeling error is and the evidence for its existence DNV’s method for correcting the hourly modeling error How the hourly modeling correction varies with project location and specifications