Modelling and Optimization of Photovoltaic Cells, Modules, and Systems (Springer Theses) - Hardcover

Rodríguez Gallegos, Carlos David

 
9789811611100: Modelling and Optimization of Photovoltaic Cells, Modules, and Systems (Springer Theses)

Synopsis

This book presents a study to determine the current limitations in the area of Photovoltaics (PV) as a source of renewable energy and proposes strategies to overcome them by applying optimization approaches in three main areas, namely related to photovoltaic solar cells, modules, and systems. These include grid metallization design of Si-based solar cells and modules; cost-effectiveness analysis between Si-based monofacial and bifacial grid-connected PV systems; optimal diesel replacement strategy for the progressive introduction of PV and batteries; dispatch strategy optimization for PV hybrid systems in real time. The novelty of the work presented in this book is of high interest to the scientific community but also to the PV manufacturers, installation companies, and investors.


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From the Back Cover

This book presents a study to determine the current limitations in the area of Photovoltaics (PV) as a source of renewable energy and proposes strategies to overcome them by applying optimization approaches in three main areas, namely related to photovoltaic solar cells, modules, and systems. These include grid metallization design of Si-based solar cells and modules; cost-effectiveness analysis between Si-based monofacial and bifacial grid-connected PV systems; optimal diesel replacement strategy for the progressive introduction of PV and batteries; dispatch strategy optimization for PV hybrid systems in real time. The novelty of the work presented in this book is of high interest to the scientific community but also to the PV manufacturers, installation companies, and investors.


"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9789811611131: Modelling and Optimization of Photovoltaic Cells, Modules, and Systems (Springer Theses)

Featured Edition

ISBN 10:  9811611130 ISBN 13:  9789811611131
Publisher: Springer, 2022
Softcover