This course, developed in partnership with IEEE Power and Energy Society, covers the key technical factors that influence the design, operation, and ultimately the economic success of Battery Energy Storage Systems (BESS) in grid-connected projects. It outlines the major sub-systems of a BESS and introduces grid interconnection standards and modeling. These standards and models are used to explain the minimum performance capabilities required for BESS to maintain grid reliability and to provide grid services. The course includes a discussion on Long Duration Energy Storage (LDES), an emerging trend that will shape future BESS design and applications. The course concludes with several brief examples of BESS projects used in grid applications.
Covers the new power industry reality, including consumers, third parties, and future markets.
This course is part of our eLearning Archive, which includes older courses that may not be current or as user-friendly as courses designed more recently. During this analytical green engineering methods series we are going to review green engineering system and process modeling and system analysis and design following sustainable lean six sigma principles. These principles are well established in quality circles and they apply in a very positive way to our sustainable green engineering effort. This course is going to focus on the data dictionary and the process descriptions, and various methodologies that give us a formal framework for doing this professionally. It is important to realize that at a minimum, system analysis as well as system design models in sustainable green engineering typically consists of the model diagrams. In this integrated course, these methods are illustrated with examples. Model diagrams are often going to follow a typical waterfall development method and sometimes more parallel development, or simultaneous concurrent methods. In engineering this is called product lifecycle management (PLM). Of course, for us, this is green PLM, meaning we are looking at sustainable solutions.
Maximum Power Point Tracking or MPPT is a tool for the dynamical optimization of the power produced by a photovoltaic or PV array. But MPPT is useful not only in PV applications, but also whenever the power produced by the power source must be maximized regardless from some exogenous, or uncontrollable, parameter. Algorithms used for MPPT operation can also be useful for the dynamical optimization of other functions describing the operation of any system or power plant. In this tutorial Drs. Petrone and Spagnuolo discuss the possible applications of MPPT-like algorithms in different contexts related to renewable energies. They also consider the optimization of the performances of one of the most frequently used MPPT algorithms, the Perturb and Observe method. The tutorial will also provide an overview of other MPPT approaches, implemented by means of analog circuitry and by adopting a digital control.Finally, the authors examine some differences concerning the application of the photovoltaic MPPT concept at field level, string level and module level, thus introducing one of the most significant challenges of present day solar systems, Building Integrated Photovoltaics or BIPV.