Engineering IT-Enabled Sustainable Electricity Services

The Tale of Two Low-Cost Green Azores Islands

  • Marija Ilic
  • Le Xie
  • Qixing Liu

Part of the Power Electronics and Power Systems book series (PEPS, volume 30)

Table of contents

  1. Front Matter
    Pages i-xv
  2. The Tale of the Low-Cost Green Azores Islands

  3. The Electrical Systems Characteristics of Two Azores Islands: Flores and São Miguel

    1. Front Matter
      Pages 97-97
    2. Masoud Honarvar Nazari
      Pages 99-118
    3. Jonathan Donadee, Jhi-Young Joo, Remco Verzijlbergh, Marija Ilić
      Pages 119-147
  4. Wind and Load Power Prediction: Look-Ahead Dispatch for the Efficient Use of Available Resources

    1. Front Matter
      Pages 149-149
    2. Paulo D. F. Ferreira, Pedro M. S. Carvalho, Luis A. F. M. Ferreira
      Pages 151-170
    3. Le Xie, Yingzhong Gu, Marija Ilić
      Pages 209-223
    4. Jhi-Young Joo, Jonathan Donadee, Marija Ilić
      Pages 225-246
    5. Jhi-Young Joo, Yingzhong Gu, Le Xie, Jonathan Donadee, Marija Ilić
      Pages 247-259
    6. R. A. Verzijlbergh, M. D. Ilić, Z. Lukszo
      Pages 273-291
  5. Efficient and Viable Power Delivery During Normal System Conditions

    1. Front Matter
      Pages 293-293
  6. Enhanced Methods for Intra-dispatch Automated Balancing of Hard-to-Predict Wind Power Fluctuations

  7. Corrective Adjustments and Transient Stabilization for Ensuring Reliable Operations During Large Wind Disturbances and Equipment Outages

    1. Front Matter
      Pages 473-473
    2. Milos Cvetković, Kevin Bachovchin, Marija Ilić
      Pages 491-531
  8. Methods for Investing in New Technologies Under Uncertainties

    1. Front Matter
      Pages 533-533
    2. Audun Botterud, Noha Abdel-Karim, Marija Ilić
      Pages 535-552
  9. Back Matter
    Pages 553-562

About this book


Engineering IT-Enabled Electricity Services: The Tale of Two Low-Cost Green Azores Islands covers sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources. The “Green Islands” project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT).  Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available.

This contributed volume presents methods for predicting variable resources, such as wind power generation, and analyzes the achievable accuracy of these predictions. Throughout this book, contributors show that the cost of serving customers in systems with highly uncertain generation will depend to a very large extent on how well the predictions are done. Therefore, the supporting IT technologies based on predictive models become critical to avoid the need for fast-responding storage. The model the authors have developed could change the way power portfolios are built. A new perspective for optimization of green energy is presented in this book. Data provided with the book represents a repository of real-world   electric energy systems and its IT-enabled smarts.

Editors and affiliations

  • Marija Ilic
    • 1
  • Le Xie
    • 2
  • Qixing Liu
    • 3
  1. 1., Electrical and Computer Engineering (ECECarnegie Mellon UniversityPittsburghUSA
  2. 2., Dept. of Electrical and Comp. Eng.Texas A&M UniversityCollege StationUSA
  3. 3.Carnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-09735-0
  • Online ISBN 978-0-387-09736-7
  • Series Print ISSN 2196-3185
  • Series Online ISSN 2196-3193
  • Buy this book on publisher's site
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