دانلود کتاب Advanced Controls for Intelligent Buildings: A Holistic Approach for Successful Businesses

فهرست مطالب :

Cover\nHalf Title\nTitle Page\nCopyright Page\nDedication\nContents\nPreface\nAcknowledgment\nAuthor\nList of Figures\nList of Tables\n1. Building Systems\n 1.1. Introduction and Motivation\n 1.2. Building Types\n 1.2.1. Residential\n 1.2.2. Commercial\n 1.3. Building Systems\n 1.3.1. Overview: System Components and Functionality\n 1.3.2. HVAC Systems\n 1.3.2.1. AHU Systems\n 1.3.2.2. In-room Terminal Units\n 1.3.2.3. Heat Pumps\n 1.3.2.4. VRF (Variable Refrigerant Flow) Systems\n 1.4. Control System Architecture\n 1.5. Moving toward the Future: Smart/Intelligent\n2. Sensing\n 2.1. Background and Overview\n 2.1.1. Characteristics\n 2.1.2. Analog vs. Digital\n 2.2. Virtual Sensors\n 2.2.1. Analytical\n 2.2.2. Empirical\n 2.3. Sensors Types and Availability in Buildings\n 2.3.1. Temperature Sensors\n 2.3.2. Pressure Sensors\n 2.3.3. Flow Rate Sensors\n 2.3.4. Speed Sensor\n 2.3.5. Electrical Sensors\n 2.3.6. Humidity Sensors\n 2.3.7. Light Sensors\n 2.3.8. Occupancy/Motion Sensors\n 2.3.9. Security Sensors\n 2.3.10. Air Quality Sensors\n 2.3.11. Outdoor Environmental Sensors\n 2.3.12. Position Sensors\n 2.3.13. Safety Sensors\n 2.3.14. Meters or Usage Sensors\n 2.3.15. Tracking Sensors\n 2.3.16. Other Sensors\n3. Modeling\n 3.1. Modeling Approaches\n 3.1.1. White Box\n 3.1.2. Black Box\n 3.1.3. Grey Box\n 3.2. Modeling Process\n 3.2.1. Model Types\n 3.2.2. Order Reduction and Approximation\n 3.2.3. Calibration and Validation\n 3.3. Components and Systems\n 3.3.1. Fan\n 3.3.2. Chiller\n 3.3.3. Heat Exchanger\n 3.3.4. Pump\n 3.3.5. Damper\n 3.3.6. Thermal Models\n 3.3.7. Moisture and Humidity\n 3.3.8. Simulation Tools\n 3.4. Model Selection\n4. Control\n 4.1. Control Product Types\n 4.2. Value of Control in Buildings\n 4.3. Control Approach\n 4.3.1. Centralized\n 4.3.2. Decentralized\n 4.3.3. Distributed\n 4.3.4. Hierarchical\n 4.3.4.1. Supervisory Control (SC)\n 4.4. Control Algorithms/Strategies\n 4.4.1. Bang-bang Control\n 4.4.2. Rule/Event-based Control\n 4.4.3. Finite State Machine (FSM)\n 4.4.4. PID (Proportional-integral-derivative) Control\n 4.4.5. Model Predictive Control (MPC)\n 4.4.6. Adaptive Control\n 4.4.6.1. Parameter Tuning\n 4.4.6.2. Reference Tuning\n 4.4.7. Economic control\n 4.4.8. Miscellaneous\n 4.5. Optimal Selection of Controls\n5. Testing and Deployment\n 5.1. Test Bed Design\n 5.1.1. Simulation\n 5.1.2. Hardware-in-loop (HIL)\n 5.1.2.1. Controller-in-loop (CIL)\n 5.1.2.2. Equipment-in-loop (EIL)\n 5.1.3. Laboratory Testing\n 5.1.4. Field Demonstration\n 5.2. Product vs. Prototype vs. POC\n 5.3. Testing Methodology\n 5.3.1. Module-level\n 5.3.2. System-level\n 5.3.3. Feature-level\n 5.3.4. Other testing\n 5.4. Validation Mechanism\n 5.4.1. Eye-ball\n 5.4.2. Semi-automated\n 5.4.3. Fully-automated\n 5.5. Validation Criteria\n 5.6. Creating a Powerful Testing Infrastructure\n 5.7. Deployment\n 5.7.1. Packaging\n 5.7.2. Installation\n 5.7.3. Automatic Binding\n 5.7.4. Tracking\n 5.7.5. Update and Maintain\n6. Control Use Cases, Artificial Intelligence, and Internet of Things\n 6.1. Control Use Cases\n 6.1.1. Precooling and Preheating\n 6.1.2. Ice/Cold-water Storage System\n 6.1.3. Duct Static Pressure Reset\n 6.1.4. Optimal Start/Stop\n 6.1.5. Night Purge Ventilation\n 6.1.6. Demand Control Ventilation (DCV)\n 6.1.7. Temperature Setback\n 6.1.7.1. Domestic Hot Water Temperature Reset\n 6.1.7.2. Zone Temperature Reset\n 6.1.7.3. SA Temperature Reset\n 6.1.7.4. Refrigeration/Freeze Temperature Reset\n 6.1.8. Daylight Harvesting\n 6.1.9. Automatic Lights Shutoff\n 6.1.10. Light Dimming\n 6.1.11. Occupancy-based Control\n 6.1.12. Natural Heating and Cooling\n 6.1.13. High-traffic Elevator Control\n 6.1.14. Fault Detection and Diagnostics (FDD)\n 6.1.15. Building-to-Grid Integration\n 6.1.15.1. Peak Shaving and Load Shifting\n 6.1.15.2. Community-level Resource Coordination\n 6.1.15.3. Frequency Regulation Service\n 6.1.15.4. Demand Response Programs\n 6.1.16. Retrofit Measures\n 6.2. Artificial Intelligence (AI) and Machine Learning\n 6.2.1. Role of AI and ML in Building Controls\n 6.3. IoT and Controls\n 6.3.1. Why Is IoT Attractive Now?\n 6.3.2. IoT Components\n 6.3.2.1. Big Data Handling\n 6.3.2.2. Communication Network and Protocol\n 6.3.2.3. Device Management\n 6.3.2.4. Platform\n 6.3.2.5. Data Privacy and Security\n 6.3.2.6. Applications and Use Cases\n 6.3.3. IoT Value and Opportunities in Buildings\n 6.3.4. IoT Challenges in Buildings\n7. Stakeholders and Channels\n 7.1. Stakeholders\n 7.1.1. Occupant\n 7.1.2. Tenant\n 7.1.3. Owner\n 7.1.4. Facility Manager\n 7.1.5. Building Engineer and Building Operator\n 7.1.6. Consultant\n 7.1.7. Contractor\n 7.1.8. Brokers/Representatives\n 7.1.9. Technician\n 7.1.10. Utility and Government\n 7.1.11. Other\n 7.2. Distribution Channel\n 7.2.1. Direct Channel\n 7.2.2. Indirect Channel\n 7.2.3. Hybrid Channel\n 7.3. Channel Power and Conflicts\n8. Product Marketing Management\n 8.1. Product Research and Segmentation\n 8.1.1. Product Market Research\n 8.1.2. Customer Segmentation and Targeting\n 8.1.3. Market Adoption Behavior\n 8.2. Competitive Analysis and Product Positioning\n 8.2.1. Positioning and Competitive Advantage\n 8.2.2. Monitoring Competition\n 8.2.3. Growth Strategy\n 8.3. Product Strategy\n 8.3.1. Product Selection and Introduction\n 8.3.2. Project Management\n 8.3.3. Pricing Strategies\n 8.3.4. Advertising\n 8.3.5. Product Stages\n 8.3.6. Attract and Retain Customers\n 8.4. Industry Characteristics\n 8.4.1. Life Cycle Stage\n 8.4.2. Market Volatility\n 8.4.3. Regulation and Policy\n 8.4.4. Barrier-to-entry and Investment Requirement\n 8.4.5. Competition and Concentration Level\n 8.4.6. Globalization\n 8.4.7. Technology Progressiveness\n 8.4.8. Dependency Level\n 8.4.9. Industry Structure using Porter’s Five Forces\n 8.5. Marketing Challenges and Opportunities in Building\n 8.6. Growing Trends and Environmental Factors\n9. Financial, Cost, and Supply Chain Management\n 9.1. Financial Concepts\n 9.1.1. Rate of Return and Interest Rate\n 9.1.2. Present Value vs. Future Value\n 9.1.3. Inflation\n 9.2. Project Selection–A Financial View\n 9.2.1. Return on Investment\n 9.2.2. Simple Payback Period\n 9.2.3. Net Present Value\n 9.3. Cost Management\n 9.3.1. Cost of Goods\n 9.3.1.1. Financial Factors\n 9.3.1.2. Non-financial Factors\n 9.3.2. Operational Expenses\n 9.3.2.1. Automation\n 9.3.2.2. Outsourcing\n 9.3.2.3. Workflow and Processes Optimization\n 9.3.2.4. Technology Adoption\n 9.4. Supply Chain Management\n 9.4.1. Supply Chain Management Example: Apple\n 9.4.2. Supply Chain Evolution: 1.0. to 5.0\n 9.4.3. Supply Chain Improvement Opportunities\n 9.4.4. Disruptions Preparation\n 9.4.5. Industrial Improvement and Impact\n10. Controls Business Framework\n 10.1. Combined Technical and Business Perspective\n 10.1.1. Strategy and Marketing Management\n 10.1.2. Financial and Cost Management\n 10.1.3. Business Scenarios and Use Cases\n 10.1.4. Control Product/Services Development\n 10.1.5. Product Testing and Deployment\n 10.1.6. Building Systems and Iterative Improvement\n 10.1.7. Market Response and External Factors\n 10.2. Next-generation Building through Advanced\nAlphabetical Index