Shanghai Electric Group’s distributed energy planning and design platform enables the company and its customers to evaluate the financial viability of large-scale energy production projects before they are built. The DES-PSO platform calculates estimated payback periods, cash flows, and internal rates of return (IRR). Calculations are based on the power generation and storage technologies to be used in a particular design and on a variety of other factors, including weather patterns, energy prices, and government subsidies.
Working with researchers from the Lawrence Berkeley Laboratory at the University of California, Berkeley, engineers at Shanghai Electric developed the platform models and algorithms in MATLAB® and deployed them to a production IT environment using MATLAB Production Server™.
“As energy engineers we found it easy to develop and test models and algorithms for distributed energy systems in MATLAB,” says Yunjiao Gu, product director at Shanghai Electric. “MATLAB Production Server empowered our team, who had little experience with programming, to deploy those models and algorithms as production software that can be used by internal teams and our customers.”