Residential PV System Outline

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BookOutline.docm

Chapter 1 2

1.1 INTRODUCTION 2

1.2 Current State of the Industry 4

1.3 DEFINING FAILURE AND SUCCESS 4

1.3.1 Failure 5

1.3.2 Success 5

1.3.3 Contracts 6

1.3.4 Perspective: 8

1.3.5 Loss of Corporate Memory 15

1.3.6 Project vs. System Delivery Process 18

1.3.7 Concept 21

1.3.8 Challenges Today With The Bidding Process: 21

Chapter 2 3

2.1 PAM PV System Delivery 3

2.1.1 Technology Fatigue 5

2.1.2 Data Collection, Communication, Curation and Their Effective Use 7

2.1.3 Industry Language: Usage and Consistencies 10

2.1.4 Safety 11

2.1.5 Stakeholders: 15

2.1.6 Universal Real-Time Data (URTD) & Data Sharing 21

2.1.7 Solar Power Plant Lifecycle 26

2.1.8 Chapter Conclusion 31

3 Current Technologies 2

3.1 Present State of solar cell Technology 2

Chapter 4. System Engineering 3

4.1 Introduction 3

4.2 Why the PV Industry Needs Systems Engineering 3

4.3 SE Process 6

4.3.1 Project Success and Failure 8

4.3.2 Stakeholder Requirements 9

4.3.3 The Initial Concept Development and Feasibility 10

4.3.4 Management of PV System Delivery 11

4.4 Project Phases Overview 14

4.4.1 Concept 14

4.4.2 Detailed Design 14

4.4.3 Manufacturing Build and Test 14

4.4.4 Installation & Commissioning 14

4.4.5 Operation, Upgrade & Repowering 15

4.4.6 Site Restoration 15

4.5 Systems Engineering Tools 15

4.5.1 SIMILAR 15

4.5.2 SMART 16

4.5.3 Risk Management 17

4.5.4 Project Management Tools 22

4.6 System Delivery 22

4.6.1 Concept 22

4.6.2 System Requirements and Architecture 29

4.6.3 System Specification 45

4.6.4 Common System Engineering Problems 45

4.6.5 System Design 46

4.6.6 Detailed Design 47

4.6.7 Build and Test 47

4.6.8 Installation and Commissioning 48

4.6.9 Operation and Maintenance 48

4.6.10 Upgrade and Repowering 51

4.6.11 Site Restoration, Equipment removal, Disposal and Recycling 52

4.7 Safety 53

4.7.1 Restriction on Hazardous Substances (RoHS) 54

4.7.2 Design and Manufacturing 54

4.7.3 Waste 55

4.8 Conclusion 55

Chapter 5. Reliability 3

5.1 Introduction 3

5.2 Success/Failure 4

5.3 Why Do Reliability 7

5.4 Overview 9

5.5 Reliability 13

5.5.1 Synthetic Data – 13

5.5.2 Interpolation 14

5.5.3 Engineering Estimate 14

5.6 System Reliability Requirements Development 14

5.6.1 Stakeholder Needs 15

5.6.2 Reliability Specifications 18

5.6.3 Plant Reliability Drivers 21

5.7 Reliability Program Plan 23

5.8 Reliability Mathematics 24

5.8.1 Weibull 25

5.8.2 Normal Distribution 28

5.8.3 Failure Rate 33

5.8.4 P Values 38

5.8.5 Application through the life cycle 41

5.8.6 Reliability Block diagrams (RBD) 41

5.8.7 FMEA Procedure 49

5.8.8 Data Analysis using Weibull 68

5.8.9 Example Weibull Analysis 69

5.8.10 Design Predictions 82

5.8.11 Field Reliability Predictions 83

5.8.12 Derating 84

5.8.13 Reliability Testing 86

5.8.14 Stress testing 86

5.8.15 Redundancy or Plant Over design (Masking) 92

6 Maintainability 3

6.1 Introduction 3

6.2 Types of Maintenance 4

6.3 Maintenance Cost 8

6.4 Run to failure 9

6.5 Typical Maintenance Flow 10

6.5.1 Fault Detection and acknowledgment 10

6.5.2 Work Authorization Delay 10

6.5.3 Mean Time till Onsite (MTTO) 11

6.5.4 Equipment Delay Time 11

6.5.5 Fault Isolation 11

6.5.6 Mean logistic delay time 11

6.5.7 Repair Time 12

6.5.8 Repair Verification Time 12

6.5.9 Overhead time 12

6.5.10 Minimum Maintenance Time 12

6.5.11 Mean Time To Repair 13

6.5.12 Mean corrective maintenance time 13

6.6 Additional Maintenance Metrics 16

6.6.1 available Maintenance Time 17

6.6.2 maintenance driven Availability 18

6.6.3 Crew size 19

6.7 Plant Maintenance Time 19

6.8 Accessibility 19

6.9 Preventive maintenance (PM) 23

6.10 Energy Storage 25

6.11 Spares 26

6.12 Testability 30

6.12.1 Introduction 30

6.12.2 Requirements 32

6.12.3 Special Test Equipment 32

6.13 Maintenance and Testability Specifications 33

6.13.1 Specification Notes 35

6.13.2 Conclusion 35

7 Availability 2

7.1 Introduction 2

7.1.1 Capability and Capacity 5

7.1.2 Force Majeure 5

7.1.3 Annual Solar Fluence/Irradiance 5

7.1.4 Utility or Customer Demand 6

7.2 Types of Availability 6

7.3 Confusion of availability metrics 7

7.3.1 Energy PVPS [] 9

7.3.2 inherent 10

7.3.3 Operational 11

7.3.4 Achieved Availability 13

7.3.5 Contract 13

7.4 Grid availability 13

7.5 Raw 14

7.6 Specifications 15

7.7 Standards 16

Chapter 8 PV Plant Repowering 4

8.1 Introduction 4

8.2 Types of Repowering 6

8.2.1 What Is PV Plant Repowering: Repowering Types As Defined Above: 9

8.3 Repowering (System Engineering) Planning Element Requirements 11

8.3.1 Repowering at Concept 13

8.3.2 Existing Plant Repowering 14

8.3.3 Distressed Plant Repowering 16

8.3.4 Relocation of Plant Repowering 17

8.3.5 Plant Acquisition And Disposition 18

8.4 Considerations Regarding the Impact Of Repowering 19

8.4.1 Substantively Better and More Accurate Asset Valuation 19

8.4.2 Long Term PV System Energy Production 19

8.4.3 Plant Viability 19

8.4.4 Revenue 19

8.4.5 Ownership Operations Analysis And Decisions 20

8.4.6 Repowering Impacts on Commercial, Industrial (C&I) and Utility Economics 20

8.4.7 Limiting Factors 21

8.4.8 PV Myths and Assumptions 22

8.5 Overcoming Myths and Assumptions: 23

8.5.1 How Do We Address the Myths and Assumptions? 26

8.6 Insurability 38

8.6.1 Codes and Standards 39

8.7 RAMS/SE for Repowering 43

8.7.1 Data Collection 44

8.7.2 Major Questions About Repowering 46

8.8 Significant Issues Addressed Through Repowering 51

8.8.1 Technology fatigue 51

8.8.2 Bill of Material (BOM) 52

8.8.3 Spares 52

8.8.4 Financial Viability 53

8.8.5 Installation Practices and Training 54

8.8.6 Third Party Product Evaluation 55

8.8.7 Warranty and Replacement 56

8.9 Addressing Repowering Issues 56

8.9.1 Repowering Planning 60

8.10 PV Plant Owners 63

8.11 The True Cost of Electric Utility Organizations (Regulated and Unregulated) 65

8.11.1 Historical Utility Focus 67

8.12 PV Developers 68

8.13 Investors 69

8.14 Engineering, Procurement, and Construction (EPC) 70

8.14.1 Best Principle and Practice 70

8.15 O&M Professionals and Organizations (Contracted and In-House) 72

Chapter 9 Energy Storage 2

9.1 Overview 2

9.2 Introduction to Energy Storage 3

9.3 Types of Batteries (my suggestion) 4

9.3.1  lead–acid, 4

9.3.2 zinc-air, 4

9.3.3 nickel–cadmium (NiCd), 4

9.3.4 nickel–metal hydride (NiMH), lithium-ion (Li-ion), 4

9.3.5 Lithium Iron Phosphate (LiFePO4), and 4

9.3.6 lithium-ion polymer (Li-ion polymer). 4

9.3.7 Lithium Ion Batteries 4

9.3.8 Flow Batteries 5

9.4 Components of an Energy Storage System 6

9.5 Battery Thermal Management 9

9.5.1 Housing Batteries 10

9.5.2 Fire Suppression 11

9.5.3 Operating Ambient 11

9.6 Augmentation versus Replacement 14

9.7 Energy Storage Reliability and Overall Plant Health and Condition 14

9.8 Energy Storage System Maintenance and Operational Considerations 16

9.8.1 What are the Biggest Misconceptions, Myths and Assumptions about Energy Storage Systems? 16

9.8.2 Solar and Energy Storage systems are plug and play and broadly interchangeable. 16

9.8.3 Energy storage systems can be dispatched to any number of applications. 17

9.8.4 DC coupled and AC coupled solar plus storage systems are basically equivalent. 18

9.8.5 The only attribute that is important in my energy storage system is the upfront $/kWh installed cost. 21

9.8.6 I can use my battery in a number of applications and stack the value generated to make my returns higher. 21

Chapter 10 Data collection and analysis 2

10.1 Introduction 2

10.2 Reducing Unknown Risk Begins with Data 4

10.2.1 As an example: Transformer Failure 4

10.2.2 Mandatory Reporting 6

10.3 SHARED RELIABILITY DATA 7

10.3.1 Identifying Stakeholders 8

10.4 Stakeholders 9

10.5 Anonymized Plant Data 11

10.5.1 Use of Repository Data 11

10.6 Component OEM Data Sharing: 11

10.6.1 Stakeholder Business Case for Sharing Reliability Data 11

10.7 The Level Necessary to Control Costs and Improve PV systems 16

10.8 Monitoring for Better Data, Security and Plant Cost Control 16

10.9 Synthetic Data! 20

10.10 Process: 24

10.11 What to look for: 26

10.12 The Monitoring Plan: 28

10.13 Monitoring Plan Steps: 31

10.13.1 Establish Initial Data Requirements 31

10.13.2 Define Monitoring & Service Requirements 33

10.13.3 Define Triggers for Next Steps 33

10.13.4 Assess Inverter Data Output Capabilities 35

10.14 Sensor Data Delivery 35

10.15 Warranty Issues: 36

10.16 Importance of pattern recognition 37

Chapter 11 Operations And Maintenance 2

11.1. Introduction 2

11.2. Chapter Focal Points 6

11.3. Project Development 7

11.4. O&M Strategy 7

11.4.2. Self-Perform vs. Regional 3rd Party? 8

11.5. Alternative Operations and Maintenance 10

11.6. Scope of Work 12

11.7. Operations 13

11.7.2. The Operator’s Role 13

11.8. The Maintenance Provider’s Role 14

11.9. Preventive Maintenance (PM) 15

11.10. Corrective Maintenance (CM) 17

11.11. Conditioned Based Maintenance: 18

11.12. Ancillary Maintenance (AM) 19

11.13. Construction Oversight by the O&M Team 19

11.13.2. Substantial Completion Punch List 20

11.14. Capacity Testing 20

11.15. Safety 20

11.16. Safety is Everyone’s Responsibility 21

11.16.2. Training and Qualification 22

11.16.3. Technician Work Practices 22

11.16.4. Job Hazard Analysis 22

11.16.5. Data Driven Decision Making 23

11.16.6. Project Design, Specification, and Installation 23

11.16.7. Maintenance Hazard, Fires and Explosions 24

11.17. Reliability 26

11.17.2. Reliability data 26

11.18. Availability 28

11.18.2. Inverter Availability Guarantee 28

11.19. Maintainability 29

11.20. Testability 29

11.21. Maintenance Scope and Supplier Agreements 30

11.22. Module Warranty 30

11.23. Inverter Warranty 30

11.24. System Performance 31

11.25. P Estimates: Data Feedback Loop (See Chapter 4 for Additional Details) 31

11.26. Terminology 31

11.27. Historical Irradiance Data 32

11.28. Include an Empirical Approach 33

11.29. Operational Data Feedback Loop 33

11.30. Output 34

11.31. Predicted vs. Actual Energy 34

11.32. Maintenance 34

11.33. Pricing 34

11.34. O&M Price Distortions 35

11.35. Scope 35

11.36. Licensing 35

11.37. Project Cost Model 36

11.38. Conclusion 37