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Foreword |
6 |
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Contents |
10 |
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1 Introduction---Smart Grids: Design, Analysis and Implementation of a New Socio-technical System |
12 |
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Acknowledgedments |
19 |
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References |
19 |
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Part IApproaches to Changing Energy Systems |
20 |
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2 How Energy Distribution Will Change: An ICT Perspective |
21 |
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Abstract |
21 |
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1 Prologue |
21 |
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2 Introduction |
22 |
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3 The Smart Meter View |
23 |
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4 The End User View |
26 |
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4.1 Information Flow |
26 |
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4.2 Information with Value |
27 |
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5 The DSO View |
28 |
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5.1 Topology Adaptation |
29 |
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5.2 The Value of Analytics |
31 |
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5.3 A Parallel Between Telecoms and DSO |
31 |
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6 The ICT Provider View |
32 |
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7 Concluding Remarks |
33 |
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References |
34 |
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3 Smart Business for Smart Users: A Social Agenda for Developing Smart Grids |
36 |
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Abstract |
36 |
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1 The Smart Grid as Panacea |
37 |
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2 Envisioning the Smart Grid |
39 |
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3 Social Practices |
42 |
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4 User-Centered Business Models |
44 |
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5 The User as Innovator |
46 |
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5.1 Passive Barrier Roles |
47 |
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5.2 Passive Enabler Roles |
47 |
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5.3 Active Barrier Roles |
47 |
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5.4 Active Enabler Roles |
47 |
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6 Smart Business for Smart Users: A Research Agenda |
49 |
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References |
50 |
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4 Transition to Smart Grids: A Psychological Perspective |
52 |
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Abstract |
52 |
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1 Introduction |
52 |
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2 Which Behaviour Changes Are Needed to Promote Smart Grids? |
53 |
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3 Factors Underlying Behaviour in Smart Grids |
55 |
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3.1 Motivations |
55 |
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3.2 Contextual Factors |
58 |
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4 Interventions to Promote a Transition to Smart Grids |
59 |
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4.1 Structural Strategies |
59 |
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4.2 Psychological Strategies |
61 |
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5 Acceptability of Smart Grids |
64 |
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5.1 Distributive Fairness |
64 |
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5.2 Trust in Involved Parties and Acceptability |
65 |
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5.3 Public Involvement |
65 |
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6 Conclusion |
66 |
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References |
67 |
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5 What Are Smart Grids? Epistemology, Interdisciplinarity and Getting Things Done |
72 |
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Abstract |
72 |
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1 Introduction: Kinds of Work Done by Definitions |
72 |
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2 Definitions and Promissory Work |
74 |
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3 Definitions and the Creation of Objects |
76 |
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4 Definitions and Boundary Work |
77 |
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5 Conclusion |
79 |
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Acknowledgments |
81 |
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References |
81 |
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Part IIControl and Regulation of SmartGrids: Technical, Legal, Economic,and Social Approaches |
83 |
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6 Cyber-Security Vulnerabilities: An Impediment Against Further Development of Smart Grid |
84 |
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Abstract |
84 |
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1 Introduction to Smart Grid |
84 |
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2 Smart Grid Vulnerabilities |
85 |
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3 Categorization of Smart Grid Vulnerabilities |
87 |
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4 Vulnerabilities Associated with Smart Substations |
87 |
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5 Vulnerabilities Associated with the AMI System |
88 |
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5.1 Advanced Metering Infrastructure |
89 |
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5.2 AMI System Topology |
90 |
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5.3 AMI Network Domains |
91 |
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5.4 Cyber Threats Impacting AMI Systems |
92 |
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5.5 AMI Cybersecurity Provisions |
94 |
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6 Suitability of Microgrid as a Testbed for Cybersecurity |
95 |
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6.1 Overview of BCIT Microgrid |
95 |
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6.2 The BCIT Microgrid as a Cyberwar Theatre |
98 |
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7 Conclusion |
99 |
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Further Readings |
100 |
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7 The Optimal Control Problem in Smart Energy Grids |
101 |
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Abstract |
101 |
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1 Introduction |
101 |
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2 Preliminaries |
103 |
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3 Supply--Demand Matching |
105 |
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3.1 Demand Response Regulation |
106 |
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3.2 Energy Storage Using Power-to-Gas Facilities |
107 |
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4 Embedding in the Market Structure |
110 |
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4.1 Universal Smart Energy Framework |
110 |
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4.2 Demand Response in the Universal Smart Energy Framework |
112 |
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5 Concluding Remarks |
115 |
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Acknowledgements |
116 |
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References |
116 |
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8 Economic Regulation of Energy Networks |
118 |
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Abstract |
118 |
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1 Introduction |
118 |
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2 Theory of Economic Regulation |
120 |
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2.1 Regulatory Principles |
120 |
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2.2 Tariff Regulation, Investments and Risks |
123 |
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2.3 Realising Optimal Investments |
124 |
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3 Regulation of the Dutch Distribution Grids |
126 |
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3.1 General Principles |
126 |
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3.2 Regulation of Tariffs and Quality |
126 |
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3.3 Effects on Tariffs and Network Quality |
128 |
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4 Tariff Regulation and Smart Grids |
129 |
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5 Conclusion |
132 |
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References |
133 |
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9 Frequency Regulation in Power Grids by Optimal Load and Generation Control |
134 |
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Abstract |
134 |
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1 Introduction |
135 |
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2 Dynamic Model of the Power Grid |
136 |
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3 Stability and Incremental Passivity of the System |
139 |
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4 Maximising Social Welfare |
142 |
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5 Optimal Generation and Load Control |
144 |
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6 Case Study |
145 |
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7 Conclusions and Future Research |
147 |
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Appendix |
147 |
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References |
150 |
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10 Charging Electric Vehicles in the Smart Grid |
152 |
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Abstract |
152 |
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1 Introduction |
152 |
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2 Electrical Vehicle Charging |
154 |
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2.1 Battery Charging and State of Charge |
154 |
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2.2 IEC Charging Modes |
155 |
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2.3 Communication |
155 |
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2.4 Alternative Charging Solutions |
156 |
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3 Sample Case Study 1: Load Flattening |
156 |
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4 Sample Case Study 2: Balancing Renewable Generation |
159 |
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5 Demand Response Strategies |
161 |
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6 Simulation Tools |
163 |
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7 Conclusions |
165 |
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Acknowledgements |
166 |
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References |
166 |
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11 Demand Side and Dispatchable Power Plants with Electric Mobility |
167 |
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Abstract |
167 |
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1 Introduction |
167 |
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2 Sources of Variability and Flexibility |
169 |
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3 Electric Mobility |
170 |
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4 Electric Mobility and Demand Side Management |
172 |
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5 Fuel Cell Electric Vehicles as Dispatchable Power Plants |
173 |
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6 FCEVs as Dispatchable Power Plants: Implementation Aspects |
174 |
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6.1 Technical and Institutional Considerations |
174 |
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6.1.1 Power Capacity of V2G |
174 |
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6.1.2 Institutions and Business Models |
175 |
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6.2 Frameworks for Implementation |
175 |
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6.3 Barriers for V2G Implementation |
176 |
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7 Car-Park Power Plant |
177 |
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7.1 Car-Park Power Plant |
178 |
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7.2 Operation of a Car-Park Power Plant |
178 |
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8 Final Remarks |
180 |
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Acknowledgments |
180 |
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References |
181 |
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12 Privacy Issues in the Use of Smart Meters---Law Enforcement Use of Smart Meter Data |
182 |
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Abstract |
182 |
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1 Introduction |
182 |
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2 Smart Meter Data Under European Data Protection and Privacy Rules |
184 |
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2.1 Privacy and Data Protection in Europe |
184 |
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2.2 Smart Meter Data as Personal Data |
186 |
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3 Smart Meters and Law Enforcement Authorities |
187 |
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3.1 Risks for the Protection of Privacy of Individuals Deriving from Surveillance via Smart Meter Data |
188 |
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3.1.1 Individual Surveillance |
189 |
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3.1.2 Mass Surveillance |
191 |
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4 European Legal Framework and Existing Safeguards |
192 |
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5 Conclusion |
195 |
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References |
196 |
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13 Conducting a Smarter Grid: Reflecting on the Power and Security Behind Smart Grids with Foucault |
200 |
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Abstract |
200 |
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1 Introduction |
200 |
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2 Politics of Smart Grids |
202 |
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3 Power, Knowledge and the Conducting of Choice |
204 |
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4 Knowing the Grid and Its Consumers |
205 |
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5 Conducting the Conduct of Consumers |
207 |
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6 Securing Free Electricity Markets |
208 |
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7 Decentralisation of Electricity |
210 |
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8 In Reflection |
212 |
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References |
213 |
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Part IIIImplementing Smart Grids:What Have We Learned? |
217 |
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14 Emerging e-Practices, Information Flows and the Home: A Sociological Research Agenda on Smart Energy Systems |
218 |
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Abstract |
218 |
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1 Introduction |
219 |
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2 Social Practice Theory and Smart Energy Systems |
219 |
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2.1 Energy Practices |
220 |
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2.2 Dynamics of the Home |
221 |
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3 Information Flows in Smart Grid Configurations |
222 |
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3.1 Information, Control and Privacy |
224 |
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4 Findings on Emerging e-Practices and Information Flows |
225 |
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4.1 Information Flows Within Households |
225 |
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4.2 Information Flows Between Households and Providers |
226 |
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4.3 Information Sharing Between Householders |
227 |
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5 Conclusion |
229 |
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6 An Unfolding Research Agenda on Smart Energy Systems and e-Practices |
230 |
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References |
232 |
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15 Smart Grid Pilot Projects and Implementation in the Field |
235 |
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Abstract |
235 |
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1 Introduction |
236 |
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2 Towards Regional Tailor-Made Solutions |
237 |
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3 Lessons Learned from Dutch Demonstration Projects |
238 |
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3.1 Feasibility Projects: PowerMatching City |
239 |
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4 Small Scale Demonstration Projects |
240 |
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4.1 PowerMatching City II |
241 |
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4.2 Smart Grid: Benefits for All |
242 |
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5 Towards Large-Scale Implementation |
244 |
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5.1 Green Deal Smart Energy Cities |
245 |
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5.2 Universal Smart Energy Framework |
246 |
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6 Conclusions |
247 |
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16 Energy Efficiency in a Mobile World |
249 |
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Abstract |
249 |
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1 Introduction |
249 |
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2 Data Collection in a Smart Grid Living Lab |
251 |
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3 Information Visualisation for Sensing Data |
252 |
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4 Case Study on Energy Management |
252 |
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4.1 Domain Characterisation |
253 |
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4.2 Data and Operations |
255 |
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5 Visualisations for Domain Experts |
256 |
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6 Evaluating Visualisations |
260 |
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7 From Needs to Better Decision Support |
265 |
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8 Conclusions |
266 |
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Acknowledgments |
267 |
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References |
267 |
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17 End User Research in PowerMatching City II |
269 |
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Abstract |
269 |
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1 PowerMatching City |
270 |
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1.1 Two Energy Services: Sustainable Together and Smart Cost Savings |
270 |
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1.2 Three Ways to Control Energy Use |
272 |
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2 End User Research in PowerMatching City II |
273 |
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2.1 Timeline of the Research |
273 |
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2.2 Measures of Experiences and Behaviour |
274 |
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3 Key Results |
275 |
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3.1 Evaluation of the Two Energy Services |
276 |
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3.2 Evaluation of Automatic, Smart, and Manual Control |
278 |
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3.3 Energy Monitor |
279 |
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3.4 Smart Grid Community |
279 |
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4 Summary and Discussion |
280 |
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Acknowledgments |
282 |
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References |
282 |
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