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Cover
Title Page
Copyright Page
Contents
Authors' Biography
Foreword
Preface
Acknowledgments
Chapter 1 What Is Smart City?
1.1 Introduction
1.2 Characteristics, Functions, and Applications
1.2.1 Sensors and Intelligent Electronic Devices
1.2.2 Information Technology, Communication Networks, and Cyber Security
1.2.3 Systems Integration
1.2.4 Intelligence and Data Analytics
1.2.5 Management and Control Platforms
1.3 Smart Energy
1.4 Smart Transportation
1.4.1 Data Processing
1.5 Smart Health
1.6 Impact of COVID-19 Pandemic

1.7 Standards
1.7.1 International Standards for Smart City
1.7.2 Smart City Pilot Projects
1.8 Challenges and Opportunities
1.9 Conclusions
Acknowledgements
References
Chapter 2 Lithium-Ion Storage Financial Model
2.1 Introduction
2.2 Literature Review
2.2.1 Techno-economic Studies of Biogas, PV, and EES Hybrid Energy Systems
2.2.2 EES Degradation
2.2.3 Techno-Economic Analysis for EES
2.2.4 Financing for Renewable Energy Systems and EES
2.3 Research Background: Hybrid Energy System in Kenya
2.3.1 Hybrid System Sizing and Operation

2.3.2 Solar and Retail Electricity Price Data
2.4 A Case Study on the Degradation Effect on LCOE
2.4.1 Sensitivity Analysis on the SOCThreshold
2.4.2 Sensitivity Analysis on PV and EES Rated Capacities
2.5 Financial Modeling for EES
2.5.1 Model Description
2.5.2 Case Studies Context
2.6 Case Studies on Financing EES in Kenya
2.6.1 Influence of WACC on Equity NPV and LCOS
2.6.2 Equity and Firm Cash Flows
2.6.2.1 Cash Flows for EES Capital Cost at 1500 /kWh
2.6.2.2 Cash Flows for EES Capital Cost at 200 /kWh
2.6.3 LCOS and Project Lifecycle Cost Composition

2.6.4 EES Finance Under Different Electricity Prices
2.6.4.1 Study on the Retail Electricity Price
2.7 Sensitivity Analysis of Technical and Economic Parameters
2.8 Discussion and Future Work
2.9 Conclusions
Acknowledgments
References
Chapter 3 Levelized Cost of Electricity for Photovoltaic with Energy Storage
Nomenclature
3.1 Introduction
3.2 Literature Review
3.3 Data Analysis and Operating Regime
3.3.1 Solar and Load Data Analysis
3.3.2 Problem Context
3.3.3 Operating Regime
3.3.4 Case Study
3.4 Economic Analysis

3.4.1 AD Operational Cost Model
3.4.2 LiCoO2 Degradation Cost Model and Number of Replacements
3.4.3 Levelized Cost of Electricity Derivation
3.4.3.1 LCOE for PV
3.4.3.2 LCOE for AD
3.4.3.3 Levelized Cost of Storage (LCOS)
3.4.3.4 Levelized Cost of Delivery (LCOD)
3.4.3.5 LCOE for System
3.4.4 LCOE Analyses and Discussion
3.5 Conclusions
Acknowledgment
References
Chapter 4 Electricity Plan Recommender System
Nomenclature
4.1 Introduction
4.2 Proposed Matrix Recovery Methods
4.2.1 Previous Matrix Recovery Methods

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