Machine learning technology - computer programs that use data sets to "learn" how to see patterns in information like wind speed and energy output - may be the answer to wind farms' prediction problem.
With advanced technology, companies have embarked on an energy software development process that has enabled companies and individuals to control how energy is produced, circulated, and used.
"The SolarAPP platform will help local governments reduce administrative burdens and make it faster and easier for customers to go solar," said Andrea Luecke, President and Executive Director at The Solar Foundation.
Were increasingly seeing solar developers including energy storage as a standard offer in their customer proposals, rather than talking about energy storage as a future option, as we saw for the past two years.
There are a lot of questions about the difference between a monitoring system and renewable asset management (AM) software. Specifically, if AM software provides similar functionalities as a monitoring system and when to start using asset management software.
At the heart of what we do is the notion that the flexible capacity from grid-connected distributed energy resources (DER) that can be ramped up or down needs to be optimized to support an efficient, decarbonized grid.
Ultimately, the use of forecasting allowed the plant operator to send commitments in line with what is required by the grid operator.
Carl WeinschenkÂ for EnergyManagerToday: Â Renewable initiatives rely on the ability to save the generated energy for a rainy - or windless - day. It follows that the software driving the pivotal task of managing the energy storage system is of paramount importance, says Gabe Schwartz, the Director of Marketing for Stem, which describes itself as an intelligent storage company that combines hardware and software storage platforms. The core storage technology itself is important, of course. But the linchpin - the secret sauce - is the way in which that energy is handled once it is generated. "It is not a solar panelâ€¦where if the sun is shining you are in good shape," Schwartz said. "It must shift use from one time to another knowing exactly when most valuable time to do that is and have the ability to act quickly when those opportunities present themselves both to the customer and the grid." The market for storage - and the software that drives it - is growing. Â Cont'd...
Deterministic weather forecasts have their place, but probabilistic forecasts are the clear choice for alternative energy companies that take the weather seriously and need long-term data.
Daniel Oberhaus for Motherboard: The world, it seems, is falling in love with solar energy. Recent years have seen the increasing adoption of solar power around the world as an alternative energy source for everything from individual homes to the entire energy grid, with the United States’solar capacity having grown to 24 GW, a more than a 17-fold increase since 2008. Part of this rapid growth for solar infrastructure is the result of markedly more efficient solar energy cells, but in spite of these recent technological advances, transitioning to solar power still doesn’t make sense (at least economically speaking) everywhere. Installing photovoltaic systems can be pretty pricey, and home- and business-owners have to engage in a complex cost-benefit analysis to see if transitioning to solar power is an economically sound idea. The “pain-in-the-ass” factor of such calculations alone might be enough to turn people off of the idea of contemplating installing a photovoltaic system, so the folks at MIT came up with a solution: Mapdwell. Mapdwell maps the solar potential of entire cities by doing a cost-benefit analysis for every rooftop to determine if installing solar panels on that rooftop is worth the investment. All you do is enter your address into the program, and it will tell you the expected installation costs, the number of years it will take to earn back this investment from your photovoltaic system, the amount of carbon offset by the installation, as well as incredibly detailed installment specs such as the optimal panel tilt and the number of panels that could fit on the roof. Cont'd...
Because weather conditions-precipitation, wind and sun in particular-can have a major impact on both production and demand for any renewable energy producer, Statkraft pays unusually close attention to historical and predictive weather data.
Despite the historic success of tax credits in helping to move renewable energy industries forward, the reality is that these credits might not be renewed. Industries will have to rely more heavily on the savings possible through equipment and technology improvements.
The campuses involved in the SMART CAMPUS project reached 30% energy savings. The expected result was 20%, so in short the results were 10% better than expected.
Sharp Integrates with Energy Toolbase Software to Streamline the Proposal Creation Process for SmartStorage® Energy Storage Installations
Collaboration enables installers and developers to easily create project proposals including demand kW reduction analysis, PV integration, utility tariff-specific savings, economic analysis, and various financing transactions
CALSEIA Utilizes the Energy Toolbase Software Platform to Analyze Solar Project Economics in Landmark Net Energy Metering Proceeding
The California Solar Energy Industries Association (CALSEIA) the state's leading solar trade association, is utilizing the Energy Toolbase software platform to analyze solar project economics in the landmark Net Energy Metering (NEM) proceeding underway at the California Public Utilities Commission (CPUC).
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