At Artech House, we ask our authors what problems their books can help readers solve. In this series, we share what our authors aim to do in their writing. Read on to find out what Federico Delfino, who, along with Stefano Bracco, Mansueto Rossi, Renato Procopio, Massimo Brignone and Michela Robba, wrote Microgrid Design and Operation: Toward Smart Energy in Cities had to say:
What are some problems your book can help readers solve?
- Optimal sizing of renewables and storage systems in a microgrid;
- Day-ahead estimation of renewable production based on weather forecast;
- Operation of the microgrid in islanded mode.
What are the features of your book and the specific benefits a reader can expect to derive from those features?
Feature: Systematic presentation of the available communication & control technologies, their main features and selection criteria according to the microgrid project (complexity, necessity of islanding operation, interface with building management system).
Benefit: Reduced time at the microgrid design stage.
Feature: Energy management system algorithms for the optimal scheduling of the available resources.
Benefit: Reduced operating costs.
Feature: Energy management system algorithms for the optimal scheduling of the available resources
Benefit: Reduced operating costs
Feature: Design solutions and criteria for the islanding mode operation
Benefit: Increase in resilience (possibility to operate also when the main network is not available); increased stability in islanding mode.
Please name the audiences at which this book is aimed. How will this audience use your book?
- Public Administrator: Support in the development of smart cities and urban sustainability projects
- Facility managers: Support in the decision making process for microgrid projects in public and private facilities
- Power System Designers: Comprehensive reference for state-of-the-art technologies and design choices for actual microgrid installations
- Power System Researchers: Comprehensive reference for algorithms and tools for energy management, forecasting and control
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