Researchers at North Carolina State University (NCSU) and ABC member the University of Wisconsin have developed a computational model that could boost investment in farm-based sustainable energy projects by allowing investors to more accurately predict whether a project will turn a profit. The model accounts for a variety of known factors, such as which species a farm is raising, the size of each farm and where each farm is located. But what sets the model apart is the way it accounts for uncertainty, explains Mahmoud Sharara, an assistant professor of biological and agricultural engineering at NCSU, telling users where a system should be located, what its capacity should be, and participation level (cluster size). More >>
