Australia's Energy Transition: Balancing Competing Demands and Consumer Roles
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Singapore Pte. Limited
2020
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| Schlagworte: | |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (201 pages) |
| ISBN: | 9789811561450 |
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| 505 | 8 | |a Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations and Acronyms -- List of Figures -- List of Tables -- 1 Why Should We Learn About the Energy Transition? -- 1.1 Defining the Energy Transition -- 1.2 Grid Stability and the Energy Transition -- 1.3 Consumer Roles in the Electricity System -- 1.4 Why Are Consumers Creating a Problem Now and Not Before? -- 1.5 Grid Problems Caused by PV -- 1.6 Risks in This Transition? -- 1.6.1 Risk of Delay -- 1.6.2 Risk of Political Process Failure -- 1.6.3 Risk of Policy Process Failure -- 1.6.4 Risk from Loss of Social Licence -- 1.6.5 Risk from Resistance from the Incumbents -- 1.6.6 Risk the Energy Transition Is Achieved Without Reducing Carbon Emissions -- 1.7 Who Needs a Voice in the Energy Transition? -- 1.7.1 Consumer Role in the Transition -- 1.7.2 Social Equity Role in the Transition -- 1.7.3 Technology Role in the Transition -- 1.7.4 Economics Role in the Transition -- 1.7.5 Government and Political Roles in the Transition -- 1.7.6 Environment -- 1.7.7 Women in the Transition and Diversity -- 1.8 What Can We Do Better to Manage the Energy Transition? -- 1.8.1 Summary -- References -- 2 Why Focus on Australia? -- 2.1 Where Does Australia's Electricity Come from? -- 2.2 Australian Electricity Market Structure -- 2.2.1 Electricity Distribution Businesses -- 2.2.2 Australian Household Consumers -- 2.2.3 Comparing PV Costs in Australia and the USA -- 2.2.4 Electricity Connection Voltage Rules -- 2.2.5 Electricity Price -- 2.3 What Lessons Are Available from Australia? -- 2.3.1 Alternate Generation Options -- 2.3.2 Politics Are also Proving a Barrier to the Energy Transition in Australia -- 2.3.3 Summary of This Chapter -- References -- 3 Political-Social Dynamic of the Energy Transition -- 3.1 The Political-Social Dynamic of the Energy Transition -- 3.1.1 Agreement Between Australia and Europe | |
| 505 | 8 | |a 3.1.2 Agreement Between Academics, Business and Government -- 3.2 Will Distribution Businesses Lead the Energy Transition? -- 3.2.1 Innovation in the Distribution Businesses -- 3.2.2 Distribution Businesses Face Asset Write-Downs -- 3.2.3 Threats to Core Business of Distribution Businesses -- 3.2.4 Economics of PV Development -- 3.3 Drivers of the Energy Transition? -- 3.3.1 The Consumer as Prime Mover -- 3.3.2 Utilities Including Distribution Businesses as Prime Movers -- 3.3.3 Government as Prime Mover -- 3.3.4 Aggregators and New Business Entrants as Prime Movers -- 3.3.5 Community Groups as Prime Movers -- 3.4 Social and Legislative Institutions -- 3.4.1 Government and Industry Influence on Social Rule Setting -- 3.4.2 Not for Profit Advisors, Lobbyists, Academics, and Community -- 3.4.3 Consumer Voices Are Being Heard in Legislative Rule Setting -- 3.4.4 Legislative Rules -- 3.5 Knowledge Management Networks? -- 3.5.1 Defining Knowledge Management Networks -- 3.5.2 A Safe Voice that Monitors and Guides the Quality of the Knowledge -- 3.5.3 Data Has a Role in the Knowledge Management System -- 3.5.4 Data Has a Role in Building a Market System -- 3.5.5 Information Dissemination -- 3.6 What Did We Learn in This Chapter? -- References -- 4 Modelling Consumer Roles in the Electricity System -- 4.1 Choosing a Dataset to Help Understand Consumer Choices -- 4.2 Exploratory Modelling -- 4.3 Finding Influential Variables -- 4.3.1 Testing the Effect of Income -- 4.3.2 The Three Variables Selected as Having the Strongest Influence on PV Adoption -- 4.3.3 Testing Stepwise Regression Results -- 4.3.4 Test PV Installation Correlation to Previous Solar-Hot-Water Installation -- 4.3.5 Testing the Effect of Income and Urban Density on PV Uptake -- 4.4 What We Learnt from the Analysing the Solar Data by Postcode | |
| 505 | 8 | |a 4.4.1 PV Adoption in Australia Correlates with Income, Separate Housing, Home Ownership and Solar-Hot-Water -- 4.4.2 Patterns of PV Are Different in Different Australian States -- 4.4.3 There Is a Correlation Between Solar-Hot-Water Adoption and PV Adoption That Suggests Other Energy-Actions Will Be Correlated -- 4.5 Temporal Model of Australian PV Adoption -- 4.5.1 Choosing Temporal ARIMA and Granger Causal Methods -- 4.6 Method -- 4.6.1 Data Acquisition and Preparation -- 4.6.2 Electricity Use Variable -- 4.6.3 Electricity-Price Variable -- 4.7 ARIMA Modelling Results -- 4.7.1 Selecting the Top 6 Variables as Temporal Drivers of PV Adoption -- 4.7.2 Select the Top Models Using Combinations of the Selected Variables -- 4.7.3 Analyse Patterns in the Top 6 Models -- 4.7.4 Testing the Temporal Model -- 4.8 What Did We Learn from the Australian Solar Data? -- 4.8.1 Price, Subsidy, Business Conditions and Earlier PV Installations Are Granger Causal on PV -- References -- 5 Technology and Data for Improved Decision Making -- 5.1 Limiting PV Export to Reduce Overvoltage Problems -- 5.1.1 Communicating PV Export Limits -- 5.1.2 Alternates to PV Export Limits -- 5.1.3 PV Export Limits Do Not Fit with the Energy Transition -- 5.1.4 PV Export Limits as a Short-Term Fix, Not a Long-Term Solution -- 5.2 Smart Devices -- 5.2.1 Smart Inverters and Virtual Synchronous Generators (VSGs) -- 5.2.2 Smart Meters -- 5.2.3 Communication for the Energy Transition -- 5.2.4 Artificial Intelligence (AI) -- 5.3 New Inverter Technology -- 5.3.1 How to Implement New Inverter Technologies? -- 5.3.2 Data Flows from Inverters and Sensors -- 5.4 Remote Control of Consumer Assets -- 5.4.1 Remote Control with Modern Technology -- 5.4.2 Remote Control of Customer Assets -- 5.4.3 The Effect on Consumers of Remote Control -- 5.4.4 Integration of Remote Control into the Electricity Market | |
| 505 | 8 | |a 5.4.5 Rewarding Consumer Device Switching -- 5.5 The Role of Energy Efficiency in the Transition? -- 5.5.1 Defining Energy Efficiency -- 5.5.2 Building Codes Are Important -- 5.5.3 Building Codes Are Being Used but Spread Over Multiple Levels of Government -- 5.6 Cost Reflective Network Pricing -- 5.6.1 Cost Reflective Pricing and Capacity Pricing -- 5.6.2 Cost Reflective Pricing Is Important but Difficult to Implement -- 5.6.3 Social Barriers to Cost Reflective Pricing -- 5.6.4 Technical Process of Implementing Cost Reflective Pricing -- 5.6.5 Cost Reflective Pricing as Part of the Energy Transition -- 5.7 Demand Response (DR) and Demand Management (DM) -- 5.7.1 Demand Management -- 5.7.2 Where Demand Management Is Happening -- 5.7.3 Consumer Participation in Demand Response and Demand Management -- 5.7.4 Demand Response (DR) and Demand Management (DM) in the Energy Transition -- 5.8 Electric Vehicle Charging -- 5.8.1 Electric Vehicle Charging Rules Are Happening -- 5.9 Storage -- 5.9.1 Storage Is Happening Now -- 5.9.2 The Role of Storage in the Energy Transition -- 5.10 Data, Ethics and Social Licence -- 5.10.1 Market for Distribution Services -- 5.10.2 Ethics of Gathering Data About Our Electricity Use -- 5.10.3 Distribution Business (DB) Use of Data -- 5.10.4 Aggregators and Data Freedom -- 5.10.5 Business Perspective of Increased Data -- 5.10.6 Deployment of Increased Data Flows -- 5.11 What Have We Learnt About Technology and Data for Improved Decision Making? -- 5.11.1 Policy to Align Technology and Data for the Energy Transition Is Urgent -- References -- 6 The Energy Transition as a System -- 6.1 What Needs Managing in the Energy Transition? -- 6.2 Framing the Energy Transition as a System -- 6.3 System Dynamics View of the Energy Transition -- 6.3.1 System Dynamics Theoretical Model of PV Sales -- 6.4 Systems Engineering | |
| 505 | 8 | |a 6.4.1 Linking the Physical Architecture to the Functional Requirements -- 6.4.2 Physical System Breakdown -- 6.4.3 Synthesis -- 6.4.4 Measurement and Control of the Energy Transition -- 6.5 Conclusion -- References -- 7 Conclusion -- 7.1 Government Role in Increasing Electricity System Innovation -- 7.1.1 Increasing the Government Role -- 7.1.2 Government Policy Tools -- 7.1.3 Framework for the Energy Transition -- 7.1.4 Government Policy Options to Manage the Transition in the Electricity System -- 7.1.5 Policy Options to Address PV Overvoltage -- 7.2 Social Licence for the Energy Transition -- 7.2.1 Distribution Businesses Investing in Social Licence -- 7.2.2 Government Investment in Social Licence -- 7.2.3 Social Licence Role in the Energy Transition -- 7.2.4 Social Equity and Network Charge Cross-Subsidisation Are Important Policy Considerations -- 7.3 Risks of the Energy Transition -- 7.4 What Next? -- References -- Appendix A: Interview Questionnaire -- Australian and European Survey Breakdown by Employment Type -- Appendix B: Interview Analysis Method -- Future Research -- Appendix C: PV in Australia Analysis -- Variables Tested -- Method of Solar Data Analysis -- Data Preparation -- Visualisation -- Regression Analysis Method -- Spatial Regression Method -- Spatial Regression -- Creating a Spatial Weights Matrix -- Spatial Regression -- Spatial-Temporal Regression -- 32 ARIMA Model Outputs -- References -- Index | |
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| contents | Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations and Acronyms -- List of Figures -- List of Tables -- 1 Why Should We Learn About the Energy Transition? -- 1.1 Defining the Energy Transition -- 1.2 Grid Stability and the Energy Transition -- 1.3 Consumer Roles in the Electricity System -- 1.4 Why Are Consumers Creating a Problem Now and Not Before? -- 1.5 Grid Problems Caused by PV -- 1.6 Risks in This Transition? -- 1.6.1 Risk of Delay -- 1.6.2 Risk of Political Process Failure -- 1.6.3 Risk of Policy Process Failure -- 1.6.4 Risk from Loss of Social Licence -- 1.6.5 Risk from Resistance from the Incumbents -- 1.6.6 Risk the Energy Transition Is Achieved Without Reducing Carbon Emissions -- 1.7 Who Needs a Voice in the Energy Transition? -- 1.7.1 Consumer Role in the Transition -- 1.7.2 Social Equity Role in the Transition -- 1.7.3 Technology Role in the Transition -- 1.7.4 Economics Role in the Transition -- 1.7.5 Government and Political Roles in the Transition -- 1.7.6 Environment -- 1.7.7 Women in the Transition and Diversity -- 1.8 What Can We Do Better to Manage the Energy Transition? -- 1.8.1 Summary -- References -- 2 Why Focus on Australia? -- 2.1 Where Does Australia's Electricity Come from? -- 2.2 Australian Electricity Market Structure -- 2.2.1 Electricity Distribution Businesses -- 2.2.2 Australian Household Consumers -- 2.2.3 Comparing PV Costs in Australia and the USA -- 2.2.4 Electricity Connection Voltage Rules -- 2.2.5 Electricity Price -- 2.3 What Lessons Are Available from Australia? -- 2.3.1 Alternate Generation Options -- 2.3.2 Politics Are also Proving a Barrier to the Energy Transition in Australia -- 2.3.3 Summary of This Chapter -- References -- 3 Political-Social Dynamic of the Energy Transition -- 3.1 The Political-Social Dynamic of the Energy Transition -- 3.1.1 Agreement Between Australia and Europe 3.1.2 Agreement Between Academics, Business and Government -- 3.2 Will Distribution Businesses Lead the Energy Transition? -- 3.2.1 Innovation in the Distribution Businesses -- 3.2.2 Distribution Businesses Face Asset Write-Downs -- 3.2.3 Threats to Core Business of Distribution Businesses -- 3.2.4 Economics of PV Development -- 3.3 Drivers of the Energy Transition? -- 3.3.1 The Consumer as Prime Mover -- 3.3.2 Utilities Including Distribution Businesses as Prime Movers -- 3.3.3 Government as Prime Mover -- 3.3.4 Aggregators and New Business Entrants as Prime Movers -- 3.3.5 Community Groups as Prime Movers -- 3.4 Social and Legislative Institutions -- 3.4.1 Government and Industry Influence on Social Rule Setting -- 3.4.2 Not for Profit Advisors, Lobbyists, Academics, and Community -- 3.4.3 Consumer Voices Are Being Heard in Legislative Rule Setting -- 3.4.4 Legislative Rules -- 3.5 Knowledge Management Networks? -- 3.5.1 Defining Knowledge Management Networks -- 3.5.2 A Safe Voice that Monitors and Guides the Quality of the Knowledge -- 3.5.3 Data Has a Role in the Knowledge Management System -- 3.5.4 Data Has a Role in Building a Market System -- 3.5.5 Information Dissemination -- 3.6 What Did We Learn in This Chapter? -- References -- 4 Modelling Consumer Roles in the Electricity System -- 4.1 Choosing a Dataset to Help Understand Consumer Choices -- 4.2 Exploratory Modelling -- 4.3 Finding Influential Variables -- 4.3.1 Testing the Effect of Income -- 4.3.2 The Three Variables Selected as Having the Strongest Influence on PV Adoption -- 4.3.3 Testing Stepwise Regression Results -- 4.3.4 Test PV Installation Correlation to Previous Solar-Hot-Water Installation -- 4.3.5 Testing the Effect of Income and Urban Density on PV Uptake -- 4.4 What We Learnt from the Analysing the Solar Data by Postcode 4.4.1 PV Adoption in Australia Correlates with Income, Separate Housing, Home Ownership and Solar-Hot-Water -- 4.4.2 Patterns of PV Are Different in Different Australian States -- 4.4.3 There Is a Correlation Between Solar-Hot-Water Adoption and PV Adoption That Suggests Other Energy-Actions Will Be Correlated -- 4.5 Temporal Model of Australian PV Adoption -- 4.5.1 Choosing Temporal ARIMA and Granger Causal Methods -- 4.6 Method -- 4.6.1 Data Acquisition and Preparation -- 4.6.2 Electricity Use Variable -- 4.6.3 Electricity-Price Variable -- 4.7 ARIMA Modelling Results -- 4.7.1 Selecting the Top 6 Variables as Temporal Drivers of PV Adoption -- 4.7.2 Select the Top Models Using Combinations of the Selected Variables -- 4.7.3 Analyse Patterns in the Top 6 Models -- 4.7.4 Testing the Temporal Model -- 4.8 What Did We Learn from the Australian Solar Data? -- 4.8.1 Price, Subsidy, Business Conditions and Earlier PV Installations Are Granger Causal on PV -- References -- 5 Technology and Data for Improved Decision Making -- 5.1 Limiting PV Export to Reduce Overvoltage Problems -- 5.1.1 Communicating PV Export Limits -- 5.1.2 Alternates to PV Export Limits -- 5.1.3 PV Export Limits Do Not Fit with the Energy Transition -- 5.1.4 PV Export Limits as a Short-Term Fix, Not a Long-Term Solution -- 5.2 Smart Devices -- 5.2.1 Smart Inverters and Virtual Synchronous Generators (VSGs) -- 5.2.2 Smart Meters -- 5.2.3 Communication for the Energy Transition -- 5.2.4 Artificial Intelligence (AI) -- 5.3 New Inverter Technology -- 5.3.1 How to Implement New Inverter Technologies? -- 5.3.2 Data Flows from Inverters and Sensors -- 5.4 Remote Control of Consumer Assets -- 5.4.1 Remote Control with Modern Technology -- 5.4.2 Remote Control of Customer Assets -- 5.4.3 The Effect on Consumers of Remote Control -- 5.4.4 Integration of Remote Control into the Electricity Market 5.4.5 Rewarding Consumer Device Switching -- 5.5 The Role of Energy Efficiency in the Transition? -- 5.5.1 Defining Energy Efficiency -- 5.5.2 Building Codes Are Important -- 5.5.3 Building Codes Are Being Used but Spread Over Multiple Levels of Government -- 5.6 Cost Reflective Network Pricing -- 5.6.1 Cost Reflective Pricing and Capacity Pricing -- 5.6.2 Cost Reflective Pricing Is Important but Difficult to Implement -- 5.6.3 Social Barriers to Cost Reflective Pricing -- 5.6.4 Technical Process of Implementing Cost Reflective Pricing -- 5.6.5 Cost Reflective Pricing as Part of the Energy Transition -- 5.7 Demand Response (DR) and Demand Management (DM) -- 5.7.1 Demand Management -- 5.7.2 Where Demand Management Is Happening -- 5.7.3 Consumer Participation in Demand Response and Demand Management -- 5.7.4 Demand Response (DR) and Demand Management (DM) in the Energy Transition -- 5.8 Electric Vehicle Charging -- 5.8.1 Electric Vehicle Charging Rules Are Happening -- 5.9 Storage -- 5.9.1 Storage Is Happening Now -- 5.9.2 The Role of Storage in the Energy Transition -- 5.10 Data, Ethics and Social Licence -- 5.10.1 Market for Distribution Services -- 5.10.2 Ethics of Gathering Data About Our Electricity Use -- 5.10.3 Distribution Business (DB) Use of Data -- 5.10.4 Aggregators and Data Freedom -- 5.10.5 Business Perspective of Increased Data -- 5.10.6 Deployment of Increased Data Flows -- 5.11 What Have We Learnt About Technology and Data for Improved Decision Making? -- 5.11.1 Policy to Align Technology and Data for the Energy Transition Is Urgent -- References -- 6 The Energy Transition as a System -- 6.1 What Needs Managing in the Energy Transition? -- 6.2 Framing the Energy Transition as a System -- 6.3 System Dynamics View of the Energy Transition -- 6.3.1 System Dynamics Theoretical Model of PV Sales -- 6.4 Systems Engineering 6.4.1 Linking the Physical Architecture to the Functional Requirements -- 6.4.2 Physical System Breakdown -- 6.4.3 Synthesis -- 6.4.4 Measurement and Control of the Energy Transition -- 6.5 Conclusion -- References -- 7 Conclusion -- 7.1 Government Role in Increasing Electricity System Innovation -- 7.1.1 Increasing the Government Role -- 7.1.2 Government Policy Tools -- 7.1.3 Framework for the Energy Transition -- 7.1.4 Government Policy Options to Manage the Transition in the Electricity System -- 7.1.5 Policy Options to Address PV Overvoltage -- 7.2 Social Licence for the Energy Transition -- 7.2.1 Distribution Businesses Investing in Social Licence -- 7.2.2 Government Investment in Social Licence -- 7.2.3 Social Licence Role in the Energy Transition -- 7.2.4 Social Equity and Network Charge Cross-Subsidisation Are Important Policy Considerations -- 7.3 Risks of the Energy Transition -- 7.4 What Next? -- References -- Appendix A: Interview Questionnaire -- Australian and European Survey Breakdown by Employment Type -- Appendix B: Interview Analysis Method -- Future Research -- Appendix C: PV in Australia Analysis -- Variables Tested -- Method of Solar Data Analysis -- Data Preparation -- Visualisation -- Regression Analysis Method -- Spatial Regression Method -- Spatial Regression -- Creating a Spatial Weights Matrix -- Spatial Regression -- Spatial-Temporal Regression -- 32 ARIMA Model Outputs -- References -- Index |
| ctrlnum | (ZDB-30-PQE)EBC6276000 (ZDB-30-PAD)EBC6276000 (ZDB-89-EBL)EBL6276000 (OCoLC)1203982444 (DE-599)BVBBV048223110 |
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| discipline | Wirtschaftswissenschaften |
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| format | Electronic eBook |
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-- 1.1 Defining the Energy Transition -- 1.2 Grid Stability and the Energy Transition -- 1.3 Consumer Roles in the Electricity System -- 1.4 Why Are Consumers Creating a Problem Now and Not Before? -- 1.5 Grid Problems Caused by PV -- 1.6 Risks in This Transition? -- 1.6.1 Risk of Delay -- 1.6.2 Risk of Political Process Failure -- 1.6.3 Risk of Policy Process Failure -- 1.6.4 Risk from Loss of Social Licence -- 1.6.5 Risk from Resistance from the Incumbents -- 1.6.6 Risk the Energy Transition Is Achieved Without Reducing Carbon Emissions -- 1.7 Who Needs a Voice in the Energy Transition? -- 1.7.1 Consumer Role in the Transition -- 1.7.2 Social Equity Role in the Transition -- 1.7.3 Technology Role in the Transition -- 1.7.4 Economics Role in the Transition -- 1.7.5 Government and Political Roles in the Transition -- 1.7.6 Environment -- 1.7.7 Women in the Transition and Diversity -- 1.8 What Can We Do Better to Manage the Energy Transition? -- 1.8.1 Summary -- References -- 2 Why Focus on Australia? -- 2.1 Where Does Australia's Electricity Come from? -- 2.2 Australian Electricity Market Structure -- 2.2.1 Electricity Distribution Businesses -- 2.2.2 Australian Household Consumers -- 2.2.3 Comparing PV Costs in Australia and the USA -- 2.2.4 Electricity Connection Voltage Rules -- 2.2.5 Electricity Price -- 2.3 What Lessons Are Available from Australia? -- 2.3.1 Alternate Generation Options -- 2.3.2 Politics Are also Proving a Barrier to the Energy Transition in Australia -- 2.3.3 Summary of This Chapter -- References -- 3 Political-Social Dynamic of the Energy Transition -- 3.1 The Political-Social Dynamic of the Energy Transition -- 3.1.1 Agreement Between Australia and Europe</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.1.2 Agreement Between Academics, Business and Government -- 3.2 Will Distribution Businesses Lead the Energy Transition? -- 3.2.1 Innovation in the Distribution Businesses -- 3.2.2 Distribution Businesses Face Asset Write-Downs -- 3.2.3 Threats to Core Business of Distribution Businesses -- 3.2.4 Economics of PV Development -- 3.3 Drivers of the Energy Transition? -- 3.3.1 The Consumer as Prime Mover -- 3.3.2 Utilities Including Distribution Businesses as Prime Movers -- 3.3.3 Government as Prime Mover -- 3.3.4 Aggregators and New Business Entrants as Prime Movers -- 3.3.5 Community Groups as Prime Movers -- 3.4 Social and Legislative Institutions -- 3.4.1 Government and Industry Influence on Social Rule Setting -- 3.4.2 Not for Profit Advisors, Lobbyists, Academics, and Community -- 3.4.3 Consumer Voices Are Being Heard in Legislative Rule Setting -- 3.4.4 Legislative Rules -- 3.5 Knowledge Management Networks? -- 3.5.1 Defining Knowledge Management Networks -- 3.5.2 A Safe Voice that Monitors and Guides the Quality of the Knowledge -- 3.5.3 Data Has a Role in the Knowledge Management System -- 3.5.4 Data Has a Role in Building a Market System -- 3.5.5 Information Dissemination -- 3.6 What Did We Learn in This Chapter? -- References -- 4 Modelling Consumer Roles in the Electricity System -- 4.1 Choosing a Dataset to Help Understand Consumer Choices -- 4.2 Exploratory Modelling -- 4.3 Finding Influential Variables -- 4.3.1 Testing the Effect of Income -- 4.3.2 The Three Variables Selected as Having the Strongest Influence on PV Adoption -- 4.3.3 Testing Stepwise Regression Results -- 4.3.4 Test PV Installation Correlation to Previous Solar-Hot-Water Installation -- 4.3.5 Testing the Effect of Income and Urban Density on PV Uptake -- 4.4 What We Learnt from the Analysing the Solar Data by Postcode</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.4.1 PV Adoption in Australia Correlates with Income, Separate Housing, Home Ownership and Solar-Hot-Water -- 4.4.2 Patterns of PV Are Different in Different Australian States -- 4.4.3 There Is a Correlation Between Solar-Hot-Water Adoption and PV Adoption That Suggests Other Energy-Actions Will Be Correlated -- 4.5 Temporal Model of Australian PV Adoption -- 4.5.1 Choosing Temporal ARIMA and Granger Causal Methods -- 4.6 Method -- 4.6.1 Data Acquisition and Preparation -- 4.6.2 Electricity Use Variable -- 4.6.3 Electricity-Price Variable -- 4.7 ARIMA Modelling Results -- 4.7.1 Selecting the Top 6 Variables as Temporal Drivers of PV Adoption -- 4.7.2 Select the Top Models Using Combinations of the Selected Variables -- 4.7.3 Analyse Patterns in the Top 6 Models -- 4.7.4 Testing the Temporal Model -- 4.8 What Did We Learn from the Australian Solar Data? -- 4.8.1 Price, Subsidy, Business Conditions and Earlier PV Installations Are Granger Causal on PV -- References -- 5 Technology and Data for Improved Decision Making -- 5.1 Limiting PV Export to Reduce Overvoltage Problems -- 5.1.1 Communicating PV Export Limits -- 5.1.2 Alternates to PV Export Limits -- 5.1.3 PV Export Limits Do Not Fit with the Energy Transition -- 5.1.4 PV Export Limits as a Short-Term Fix, Not a Long-Term Solution -- 5.2 Smart Devices -- 5.2.1 Smart Inverters and Virtual Synchronous Generators (VSGs) -- 5.2.2 Smart Meters -- 5.2.3 Communication for the Energy Transition -- 5.2.4 Artificial Intelligence (AI) -- 5.3 New Inverter Technology -- 5.3.1 How to Implement New Inverter Technologies? -- 5.3.2 Data Flows from Inverters and Sensors -- 5.4 Remote Control of Consumer Assets -- 5.4.1 Remote Control with Modern Technology -- 5.4.2 Remote Control of Customer Assets -- 5.4.3 The Effect on Consumers of Remote Control -- 5.4.4 Integration of Remote Control into the Electricity Market</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">5.4.5 Rewarding Consumer Device Switching -- 5.5 The Role of Energy Efficiency in the Transition? -- 5.5.1 Defining Energy Efficiency -- 5.5.2 Building Codes Are Important -- 5.5.3 Building Codes Are Being Used but Spread Over Multiple Levels of Government -- 5.6 Cost Reflective Network Pricing -- 5.6.1 Cost Reflective Pricing and Capacity Pricing -- 5.6.2 Cost Reflective Pricing Is Important but Difficult to Implement -- 5.6.3 Social Barriers to Cost Reflective Pricing -- 5.6.4 Technical Process of Implementing Cost Reflective Pricing -- 5.6.5 Cost Reflective Pricing as Part of the Energy Transition -- 5.7 Demand Response (DR) and Demand Management (DM) -- 5.7.1 Demand Management -- 5.7.2 Where Demand Management Is Happening -- 5.7.3 Consumer Participation in Demand Response and Demand Management -- 5.7.4 Demand Response (DR) and Demand Management (DM) in the Energy Transition -- 5.8 Electric Vehicle Charging -- 5.8.1 Electric Vehicle Charging Rules Are Happening -- 5.9 Storage -- 5.9.1 Storage Is Happening Now -- 5.9.2 The Role of Storage in the Energy Transition -- 5.10 Data, Ethics and Social Licence -- 5.10.1 Market for Distribution Services -- 5.10.2 Ethics of Gathering Data About Our Electricity Use -- 5.10.3 Distribution Business (DB) Use of Data -- 5.10.4 Aggregators and Data Freedom -- 5.10.5 Business Perspective of Increased Data -- 5.10.6 Deployment of Increased Data Flows -- 5.11 What Have We Learnt About Technology and Data for Improved Decision Making? -- 5.11.1 Policy to Align Technology and Data for the Energy Transition Is Urgent -- References -- 6 The Energy Transition as a System -- 6.1 What Needs Managing in the Energy Transition? -- 6.2 Framing the Energy Transition as a System -- 6.3 System Dynamics View of the Energy Transition -- 6.3.1 System Dynamics Theoretical Model of PV Sales -- 6.4 Systems Engineering</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.4.1 Linking the Physical Architecture to the Functional Requirements -- 6.4.2 Physical System Breakdown -- 6.4.3 Synthesis -- 6.4.4 Measurement and Control of the Energy Transition -- 6.5 Conclusion -- References -- 7 Conclusion -- 7.1 Government Role in Increasing Electricity System Innovation -- 7.1.1 Increasing the Government Role -- 7.1.2 Government Policy Tools -- 7.1.3 Framework for the Energy Transition -- 7.1.4 Government Policy Options to Manage the Transition in the Electricity System -- 7.1.5 Policy Options to Address PV Overvoltage -- 7.2 Social Licence for the Energy Transition -- 7.2.1 Distribution Businesses Investing in Social Licence -- 7.2.2 Government Investment in Social Licence -- 7.2.3 Social Licence Role in the Energy Transition -- 7.2.4 Social Equity and Network Charge Cross-Subsidisation Are Important Policy Considerations -- 7.3 Risks of the Energy Transition -- 7.4 What Next? -- References -- Appendix A: Interview Questionnaire -- Australian and European Survey Breakdown by Employment Type -- Appendix B: Interview Analysis Method -- Future Research -- Appendix C: PV in Australia Analysis -- Variables Tested -- Method of Solar Data Analysis -- Data Preparation -- Visualisation -- Regression Analysis Method -- Spatial Regression Method -- Spatial Regression -- Creating a Spatial Weights Matrix -- Spatial Regression -- Spatial-Temporal Regression -- 32 ARIMA Model Outputs -- References -- Index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy industries-Australia</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Energiepolitik</subfield><subfield code="0">(DE-588)4014715-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="651" ind1=" " ind2="7"><subfield code="a">Australien</subfield><subfield code="0">(DE-588)4003900-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Australien</subfield><subfield code="0">(DE-588)4003900-6</subfield><subfield code="D">g</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Energiepolitik</subfield><subfield code="0">(DE-588)4014715-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Currie, Glen</subfield><subfield code="t">Australia's Energy Transition</subfield><subfield code="d">Singapore : Springer Singapore Pte. Limited,c2020</subfield><subfield code="z">9789811561443</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033603843</subfield></datafield></record></collection> |
| geographic | Australien (DE-588)4003900-6 gnd |
| geographic_facet | Australien |
| id | DE-604.BV048223110 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:50:37Z |
| indexdate | 2024-07-10T09:32:27Z |
| institution | BVB |
| isbn | 9789811561450 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033603843 |
| oclc_num | 1203982444 |
| open_access_boolean | |
| physical | 1 Online-Ressource (201 pages) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer Singapore Pte. Limited |
| record_format | marc |
| spelling | Currie, Glen Verfasser aut Australia's Energy Transition Balancing Competing Demands and Consumer Roles Singapore Springer Singapore Pte. Limited 2020 ©2020 1 Online-Ressource (201 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations and Acronyms -- List of Figures -- List of Tables -- 1 Why Should We Learn About the Energy Transition? -- 1.1 Defining the Energy Transition -- 1.2 Grid Stability and the Energy Transition -- 1.3 Consumer Roles in the Electricity System -- 1.4 Why Are Consumers Creating a Problem Now and Not Before? -- 1.5 Grid Problems Caused by PV -- 1.6 Risks in This Transition? -- 1.6.1 Risk of Delay -- 1.6.2 Risk of Political Process Failure -- 1.6.3 Risk of Policy Process Failure -- 1.6.4 Risk from Loss of Social Licence -- 1.6.5 Risk from Resistance from the Incumbents -- 1.6.6 Risk the Energy Transition Is Achieved Without Reducing Carbon Emissions -- 1.7 Who Needs a Voice in the Energy Transition? -- 1.7.1 Consumer Role in the Transition -- 1.7.2 Social Equity Role in the Transition -- 1.7.3 Technology Role in the Transition -- 1.7.4 Economics Role in the Transition -- 1.7.5 Government and Political Roles in the Transition -- 1.7.6 Environment -- 1.7.7 Women in the Transition and Diversity -- 1.8 What Can We Do Better to Manage the Energy Transition? -- 1.8.1 Summary -- References -- 2 Why Focus on Australia? -- 2.1 Where Does Australia's Electricity Come from? -- 2.2 Australian Electricity Market Structure -- 2.2.1 Electricity Distribution Businesses -- 2.2.2 Australian Household Consumers -- 2.2.3 Comparing PV Costs in Australia and the USA -- 2.2.4 Electricity Connection Voltage Rules -- 2.2.5 Electricity Price -- 2.3 What Lessons Are Available from Australia? -- 2.3.1 Alternate Generation Options -- 2.3.2 Politics Are also Proving a Barrier to the Energy Transition in Australia -- 2.3.3 Summary of This Chapter -- References -- 3 Political-Social Dynamic of the Energy Transition -- 3.1 The Political-Social Dynamic of the Energy Transition -- 3.1.1 Agreement Between Australia and Europe 3.1.2 Agreement Between Academics, Business and Government -- 3.2 Will Distribution Businesses Lead the Energy Transition? -- 3.2.1 Innovation in the Distribution Businesses -- 3.2.2 Distribution Businesses Face Asset Write-Downs -- 3.2.3 Threats to Core Business of Distribution Businesses -- 3.2.4 Economics of PV Development -- 3.3 Drivers of the Energy Transition? -- 3.3.1 The Consumer as Prime Mover -- 3.3.2 Utilities Including Distribution Businesses as Prime Movers -- 3.3.3 Government as Prime Mover -- 3.3.4 Aggregators and New Business Entrants as Prime Movers -- 3.3.5 Community Groups as Prime Movers -- 3.4 Social and Legislative Institutions -- 3.4.1 Government and Industry Influence on Social Rule Setting -- 3.4.2 Not for Profit Advisors, Lobbyists, Academics, and Community -- 3.4.3 Consumer Voices Are Being Heard in Legislative Rule Setting -- 3.4.4 Legislative Rules -- 3.5 Knowledge Management Networks? -- 3.5.1 Defining Knowledge Management Networks -- 3.5.2 A Safe Voice that Monitors and Guides the Quality of the Knowledge -- 3.5.3 Data Has a Role in the Knowledge Management System -- 3.5.4 Data Has a Role in Building a Market System -- 3.5.5 Information Dissemination -- 3.6 What Did We Learn in This Chapter? -- References -- 4 Modelling Consumer Roles in the Electricity System -- 4.1 Choosing a Dataset to Help Understand Consumer Choices -- 4.2 Exploratory Modelling -- 4.3 Finding Influential Variables -- 4.3.1 Testing the Effect of Income -- 4.3.2 The Three Variables Selected as Having the Strongest Influence on PV Adoption -- 4.3.3 Testing Stepwise Regression Results -- 4.3.4 Test PV Installation Correlation to Previous Solar-Hot-Water Installation -- 4.3.5 Testing the Effect of Income and Urban Density on PV Uptake -- 4.4 What We Learnt from the Analysing the Solar Data by Postcode 4.4.1 PV Adoption in Australia Correlates with Income, Separate Housing, Home Ownership and Solar-Hot-Water -- 4.4.2 Patterns of PV Are Different in Different Australian States -- 4.4.3 There Is a Correlation Between Solar-Hot-Water Adoption and PV Adoption That Suggests Other Energy-Actions Will Be Correlated -- 4.5 Temporal Model of Australian PV Adoption -- 4.5.1 Choosing Temporal ARIMA and Granger Causal Methods -- 4.6 Method -- 4.6.1 Data Acquisition and Preparation -- 4.6.2 Electricity Use Variable -- 4.6.3 Electricity-Price Variable -- 4.7 ARIMA Modelling Results -- 4.7.1 Selecting the Top 6 Variables as Temporal Drivers of PV Adoption -- 4.7.2 Select the Top Models Using Combinations of the Selected Variables -- 4.7.3 Analyse Patterns in the Top 6 Models -- 4.7.4 Testing the Temporal Model -- 4.8 What Did We Learn from the Australian Solar Data? -- 4.8.1 Price, Subsidy, Business Conditions and Earlier PV Installations Are Granger Causal on PV -- References -- 5 Technology and Data for Improved Decision Making -- 5.1 Limiting PV Export to Reduce Overvoltage Problems -- 5.1.1 Communicating PV Export Limits -- 5.1.2 Alternates to PV Export Limits -- 5.1.3 PV Export Limits Do Not Fit with the Energy Transition -- 5.1.4 PV Export Limits as a Short-Term Fix, Not a Long-Term Solution -- 5.2 Smart Devices -- 5.2.1 Smart Inverters and Virtual Synchronous Generators (VSGs) -- 5.2.2 Smart Meters -- 5.2.3 Communication for the Energy Transition -- 5.2.4 Artificial Intelligence (AI) -- 5.3 New Inverter Technology -- 5.3.1 How to Implement New Inverter Technologies? -- 5.3.2 Data Flows from Inverters and Sensors -- 5.4 Remote Control of Consumer Assets -- 5.4.1 Remote Control with Modern Technology -- 5.4.2 Remote Control of Customer Assets -- 5.4.3 The Effect on Consumers of Remote Control -- 5.4.4 Integration of Remote Control into the Electricity Market 5.4.5 Rewarding Consumer Device Switching -- 5.5 The Role of Energy Efficiency in the Transition? -- 5.5.1 Defining Energy Efficiency -- 5.5.2 Building Codes Are Important -- 5.5.3 Building Codes Are Being Used but Spread Over Multiple Levels of Government -- 5.6 Cost Reflective Network Pricing -- 5.6.1 Cost Reflective Pricing and Capacity Pricing -- 5.6.2 Cost Reflective Pricing Is Important but Difficult to Implement -- 5.6.3 Social Barriers to Cost Reflective Pricing -- 5.6.4 Technical Process of Implementing Cost Reflective Pricing -- 5.6.5 Cost Reflective Pricing as Part of the Energy Transition -- 5.7 Demand Response (DR) and Demand Management (DM) -- 5.7.1 Demand Management -- 5.7.2 Where Demand Management Is Happening -- 5.7.3 Consumer Participation in Demand Response and Demand Management -- 5.7.4 Demand Response (DR) and Demand Management (DM) in the Energy Transition -- 5.8 Electric Vehicle Charging -- 5.8.1 Electric Vehicle Charging Rules Are Happening -- 5.9 Storage -- 5.9.1 Storage Is Happening Now -- 5.9.2 The Role of Storage in the Energy Transition -- 5.10 Data, Ethics and Social Licence -- 5.10.1 Market for Distribution Services -- 5.10.2 Ethics of Gathering Data About Our Electricity Use -- 5.10.3 Distribution Business (DB) Use of Data -- 5.10.4 Aggregators and Data Freedom -- 5.10.5 Business Perspective of Increased Data -- 5.10.6 Deployment of Increased Data Flows -- 5.11 What Have We Learnt About Technology and Data for Improved Decision Making? -- 5.11.1 Policy to Align Technology and Data for the Energy Transition Is Urgent -- References -- 6 The Energy Transition as a System -- 6.1 What Needs Managing in the Energy Transition? -- 6.2 Framing the Energy Transition as a System -- 6.3 System Dynamics View of the Energy Transition -- 6.3.1 System Dynamics Theoretical Model of PV Sales -- 6.4 Systems Engineering 6.4.1 Linking the Physical Architecture to the Functional Requirements -- 6.4.2 Physical System Breakdown -- 6.4.3 Synthesis -- 6.4.4 Measurement and Control of the Energy Transition -- 6.5 Conclusion -- References -- 7 Conclusion -- 7.1 Government Role in Increasing Electricity System Innovation -- 7.1.1 Increasing the Government Role -- 7.1.2 Government Policy Tools -- 7.1.3 Framework for the Energy Transition -- 7.1.4 Government Policy Options to Manage the Transition in the Electricity System -- 7.1.5 Policy Options to Address PV Overvoltage -- 7.2 Social Licence for the Energy Transition -- 7.2.1 Distribution Businesses Investing in Social Licence -- 7.2.2 Government Investment in Social Licence -- 7.2.3 Social Licence Role in the Energy Transition -- 7.2.4 Social Equity and Network Charge Cross-Subsidisation Are Important Policy Considerations -- 7.3 Risks of the Energy Transition -- 7.4 What Next? -- References -- Appendix A: Interview Questionnaire -- Australian and European Survey Breakdown by Employment Type -- Appendix B: Interview Analysis Method -- Future Research -- Appendix C: PV in Australia Analysis -- Variables Tested -- Method of Solar Data Analysis -- Data Preparation -- Visualisation -- Regression Analysis Method -- Spatial Regression Method -- Spatial Regression -- Creating a Spatial Weights Matrix -- Spatial Regression -- Spatial-Temporal Regression -- 32 ARIMA Model Outputs -- References -- Index Energy industries-Australia Energiepolitik (DE-588)4014715-0 gnd rswk-swf Australien (DE-588)4003900-6 gnd rswk-swf Australien (DE-588)4003900-6 g Energiepolitik (DE-588)4014715-0 s DE-604 Erscheint auch als Druck-Ausgabe Currie, Glen Australia's Energy Transition Singapore : Springer Singapore Pte. Limited,c2020 9789811561443 |
| spellingShingle | Currie, Glen Australia's Energy Transition Balancing Competing Demands and Consumer Roles Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations and Acronyms -- List of Figures -- List of Tables -- 1 Why Should We Learn About the Energy Transition? -- 1.1 Defining the Energy Transition -- 1.2 Grid Stability and the Energy Transition -- 1.3 Consumer Roles in the Electricity System -- 1.4 Why Are Consumers Creating a Problem Now and Not Before? -- 1.5 Grid Problems Caused by PV -- 1.6 Risks in This Transition? -- 1.6.1 Risk of Delay -- 1.6.2 Risk of Political Process Failure -- 1.6.3 Risk of Policy Process Failure -- 1.6.4 Risk from Loss of Social Licence -- 1.6.5 Risk from Resistance from the Incumbents -- 1.6.6 Risk the Energy Transition Is Achieved Without Reducing Carbon Emissions -- 1.7 Who Needs a Voice in the Energy Transition? -- 1.7.1 Consumer Role in the Transition -- 1.7.2 Social Equity Role in the Transition -- 1.7.3 Technology Role in the Transition -- 1.7.4 Economics Role in the Transition -- 1.7.5 Government and Political Roles in the Transition -- 1.7.6 Environment -- 1.7.7 Women in the Transition and Diversity -- 1.8 What Can We Do Better to Manage the Energy Transition? -- 1.8.1 Summary -- References -- 2 Why Focus on Australia? -- 2.1 Where Does Australia's Electricity Come from? -- 2.2 Australian Electricity Market Structure -- 2.2.1 Electricity Distribution Businesses -- 2.2.2 Australian Household Consumers -- 2.2.3 Comparing PV Costs in Australia and the USA -- 2.2.4 Electricity Connection Voltage Rules -- 2.2.5 Electricity Price -- 2.3 What Lessons Are Available from Australia? -- 2.3.1 Alternate Generation Options -- 2.3.2 Politics Are also Proving a Barrier to the Energy Transition in Australia -- 2.3.3 Summary of This Chapter -- References -- 3 Political-Social Dynamic of the Energy Transition -- 3.1 The Political-Social Dynamic of the Energy Transition -- 3.1.1 Agreement Between Australia and Europe 3.1.2 Agreement Between Academics, Business and Government -- 3.2 Will Distribution Businesses Lead the Energy Transition? -- 3.2.1 Innovation in the Distribution Businesses -- 3.2.2 Distribution Businesses Face Asset Write-Downs -- 3.2.3 Threats to Core Business of Distribution Businesses -- 3.2.4 Economics of PV Development -- 3.3 Drivers of the Energy Transition? -- 3.3.1 The Consumer as Prime Mover -- 3.3.2 Utilities Including Distribution Businesses as Prime Movers -- 3.3.3 Government as Prime Mover -- 3.3.4 Aggregators and New Business Entrants as Prime Movers -- 3.3.5 Community Groups as Prime Movers -- 3.4 Social and Legislative Institutions -- 3.4.1 Government and Industry Influence on Social Rule Setting -- 3.4.2 Not for Profit Advisors, Lobbyists, Academics, and Community -- 3.4.3 Consumer Voices Are Being Heard in Legislative Rule Setting -- 3.4.4 Legislative Rules -- 3.5 Knowledge Management Networks? -- 3.5.1 Defining Knowledge Management Networks -- 3.5.2 A Safe Voice that Monitors and Guides the Quality of the Knowledge -- 3.5.3 Data Has a Role in the Knowledge Management System -- 3.5.4 Data Has a Role in Building a Market System -- 3.5.5 Information Dissemination -- 3.6 What Did We Learn in This Chapter? -- References -- 4 Modelling Consumer Roles in the Electricity System -- 4.1 Choosing a Dataset to Help Understand Consumer Choices -- 4.2 Exploratory Modelling -- 4.3 Finding Influential Variables -- 4.3.1 Testing the Effect of Income -- 4.3.2 The Three Variables Selected as Having the Strongest Influence on PV Adoption -- 4.3.3 Testing Stepwise Regression Results -- 4.3.4 Test PV Installation Correlation to Previous Solar-Hot-Water Installation -- 4.3.5 Testing the Effect of Income and Urban Density on PV Uptake -- 4.4 What We Learnt from the Analysing the Solar Data by Postcode 4.4.1 PV Adoption in Australia Correlates with Income, Separate Housing, Home Ownership and Solar-Hot-Water -- 4.4.2 Patterns of PV Are Different in Different Australian States -- 4.4.3 There Is a Correlation Between Solar-Hot-Water Adoption and PV Adoption That Suggests Other Energy-Actions Will Be Correlated -- 4.5 Temporal Model of Australian PV Adoption -- 4.5.1 Choosing Temporal ARIMA and Granger Causal Methods -- 4.6 Method -- 4.6.1 Data Acquisition and Preparation -- 4.6.2 Electricity Use Variable -- 4.6.3 Electricity-Price Variable -- 4.7 ARIMA Modelling Results -- 4.7.1 Selecting the Top 6 Variables as Temporal Drivers of PV Adoption -- 4.7.2 Select the Top Models Using Combinations of the Selected Variables -- 4.7.3 Analyse Patterns in the Top 6 Models -- 4.7.4 Testing the Temporal Model -- 4.8 What Did We Learn from the Australian Solar Data? -- 4.8.1 Price, Subsidy, Business Conditions and Earlier PV Installations Are Granger Causal on PV -- References -- 5 Technology and Data for Improved Decision Making -- 5.1 Limiting PV Export to Reduce Overvoltage Problems -- 5.1.1 Communicating PV Export Limits -- 5.1.2 Alternates to PV Export Limits -- 5.1.3 PV Export Limits Do Not Fit with the Energy Transition -- 5.1.4 PV Export Limits as a Short-Term Fix, Not a Long-Term Solution -- 5.2 Smart Devices -- 5.2.1 Smart Inverters and Virtual Synchronous Generators (VSGs) -- 5.2.2 Smart Meters -- 5.2.3 Communication for the Energy Transition -- 5.2.4 Artificial Intelligence (AI) -- 5.3 New Inverter Technology -- 5.3.1 How to Implement New Inverter Technologies? -- 5.3.2 Data Flows from Inverters and Sensors -- 5.4 Remote Control of Consumer Assets -- 5.4.1 Remote Control with Modern Technology -- 5.4.2 Remote Control of Customer Assets -- 5.4.3 The Effect on Consumers of Remote Control -- 5.4.4 Integration of Remote Control into the Electricity Market 5.4.5 Rewarding Consumer Device Switching -- 5.5 The Role of Energy Efficiency in the Transition? -- 5.5.1 Defining Energy Efficiency -- 5.5.2 Building Codes Are Important -- 5.5.3 Building Codes Are Being Used but Spread Over Multiple Levels of Government -- 5.6 Cost Reflective Network Pricing -- 5.6.1 Cost Reflective Pricing and Capacity Pricing -- 5.6.2 Cost Reflective Pricing Is Important but Difficult to Implement -- 5.6.3 Social Barriers to Cost Reflective Pricing -- 5.6.4 Technical Process of Implementing Cost Reflective Pricing -- 5.6.5 Cost Reflective Pricing as Part of the Energy Transition -- 5.7 Demand Response (DR) and Demand Management (DM) -- 5.7.1 Demand Management -- 5.7.2 Where Demand Management Is Happening -- 5.7.3 Consumer Participation in Demand Response and Demand Management -- 5.7.4 Demand Response (DR) and Demand Management (DM) in the Energy Transition -- 5.8 Electric Vehicle Charging -- 5.8.1 Electric Vehicle Charging Rules Are Happening -- 5.9 Storage -- 5.9.1 Storage Is Happening Now -- 5.9.2 The Role of Storage in the Energy Transition -- 5.10 Data, Ethics and Social Licence -- 5.10.1 Market for Distribution Services -- 5.10.2 Ethics of Gathering Data About Our Electricity Use -- 5.10.3 Distribution Business (DB) Use of Data -- 5.10.4 Aggregators and Data Freedom -- 5.10.5 Business Perspective of Increased Data -- 5.10.6 Deployment of Increased Data Flows -- 5.11 What Have We Learnt About Technology and Data for Improved Decision Making? -- 5.11.1 Policy to Align Technology and Data for the Energy Transition Is Urgent -- References -- 6 The Energy Transition as a System -- 6.1 What Needs Managing in the Energy Transition? -- 6.2 Framing the Energy Transition as a System -- 6.3 System Dynamics View of the Energy Transition -- 6.3.1 System Dynamics Theoretical Model of PV Sales -- 6.4 Systems Engineering 6.4.1 Linking the Physical Architecture to the Functional Requirements -- 6.4.2 Physical System Breakdown -- 6.4.3 Synthesis -- 6.4.4 Measurement and Control of the Energy Transition -- 6.5 Conclusion -- References -- 7 Conclusion -- 7.1 Government Role in Increasing Electricity System Innovation -- 7.1.1 Increasing the Government Role -- 7.1.2 Government Policy Tools -- 7.1.3 Framework for the Energy Transition -- 7.1.4 Government Policy Options to Manage the Transition in the Electricity System -- 7.1.5 Policy Options to Address PV Overvoltage -- 7.2 Social Licence for the Energy Transition -- 7.2.1 Distribution Businesses Investing in Social Licence -- 7.2.2 Government Investment in Social Licence -- 7.2.3 Social Licence Role in the Energy Transition -- 7.2.4 Social Equity and Network Charge Cross-Subsidisation Are Important Policy Considerations -- 7.3 Risks of the Energy Transition -- 7.4 What Next? -- References -- Appendix A: Interview Questionnaire -- Australian and European Survey Breakdown by Employment Type -- Appendix B: Interview Analysis Method -- Future Research -- Appendix C: PV in Australia Analysis -- Variables Tested -- Method of Solar Data Analysis -- Data Preparation -- Visualisation -- Regression Analysis Method -- Spatial Regression Method -- Spatial Regression -- Creating a Spatial Weights Matrix -- Spatial Regression -- Spatial-Temporal Regression -- 32 ARIMA Model Outputs -- References -- Index Energy industries-Australia Energiepolitik (DE-588)4014715-0 gnd |
| subject_GND | (DE-588)4014715-0 (DE-588)4003900-6 |
| title | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_auth | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_exact_search | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_exact_search_txtP | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_full | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_fullStr | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_full_unstemmed | Australia's Energy Transition Balancing Competing Demands and Consumer Roles |
| title_short | Australia's Energy Transition |
| title_sort | australia s energy transition balancing competing demands and consumer roles |
| title_sub | Balancing Competing Demands and Consumer Roles |
| topic | Energy industries-Australia Energiepolitik (DE-588)4014715-0 gnd |
| topic_facet | Energy industries-Australia Energiepolitik Australien |
| work_keys_str_mv | AT currieglen australiasenergytransitionbalancingcompetingdemandsandconsumerroles |