Sustainable energy planning in smart grids.

Format:

Book

Contributor:

Borge Díez, David.

Rosales-Asensio, Enrique.

ScienceDirect (Online service)

Benjamin Franklin Library Fund.

Language:

English

Subjects (All):

Smart power grids.

Renewable energy sources.

Physical Description:

1 online resource

Place of Publication:

Amsterdam, Netherlands : Elsevier, 2023.

Contents:

Front Cover

Sustainable Energy Planning in Smart Grids

Copyright Page

Contents

List of contributors

Preface

Acknowledgments

1 Energy planning for a sustainable transition to a decarbonized generation scenario

1.1 Introduction

1.2 Energy planning of electrical energy system

1.2.1 Energy scenarios in China

1.2.2 Energy scenarios in the United States

1.2.3 Energy scenarios in the European Union

1.3 Renewable energy resources for decarbonized generation

1.3.1 Solar photovoltaic generation

1.3.1.1 Grid-connected photovoltaic systems

1.3.1.2 Off-grid (stand-alone) photovoltaic systems

1.3.1.3 Solar power's role in decarbonization

1.3.2 Wind turbines generation

1.3.3 Hybrid renewable systems generation

1.4 Distributed generation

1.4.1 Microgrid and nanogrid

1.4.2 Operation strategies of microgrid

1.4.3 Nanogrids and smart homes

1.4.4 Energy storages

1.4.5 A new version of energy source and storage-vehicle-to-grid

1.5 Conclusion

References

2 Electrical consumption and renewable profile clusterization based on k-medoids method

2.1 Introduction

2.2 Methods to select representative days

2.2.1 State of the art

2.2.2 Representative days using the k-medoids method

2.2.3 Background

2.3 Results

2.4 Conclusions

3 Mapping of building energy consumption and emissions under Representative Concentration Pathway scenarios by a geographic...

3.1 Introduction

3.2 Geographic information system

3.3 Geographic information system computational framework for application on Representative Concentration Pathway scenarios

3.3.1 Obtention of climate data considering Representative Concentration Pathway scenarios

3.3.2 Calculation of prospective for buildings based on Representative Concentration Pathway scenarios

3.3.2.1 OpenStudio

3.3.2.2 SketchUp

3.3.2.3 EnergyPlus

3.3.3 Statistical and cartographic data input

3.3.4 Data processing and rendering of maps

3.3.5 Post-processing and color patterns for visualization

3.4 Framework applied to the case study of Mexico

3.4.1 Description of the study zone

3.4.2 Cartographic databases

3.4.3 Prospective calculation based on Representative Concentration Pathway scenarios

3.4.3.1 Prospective energy consumption

3.4.3.2 Energy consumption in cooling and related polluting emissions

3.5 Results

3.6 Conclusions

4 Energy sector and public lighting

Nomenclature

4.1 Introduction

4.2 The socioeconomic position of Ecuador

4.3 The public lighting service in Ecuador

4.3.1 Brief history

4.3.2 The reform in the public lighting sector

4.3.2.1 Structure of public lighting service after the reforms

4.3.2.1.1 Ministry of Energy and Non-Renewable Natural Resources

4.3.2.1.2 Agency for Regulation and Control of Electricity

Notes:

Electronic reproduction. Amsterdam Available via World Wide Web.

Local Notes:

Acquired for the Penn Libraries with assistance from the Benjamin Franklin Library Fund.

Other Format:

Print version:

ISBN:

9780443141553

044314155X

Publisher Number:

99996028425

Access Restriction:

Restricted for use by site license.