Building the rule of law in China / / Lin Li |
Autore | Li Lin |
Pubbl/distr/stampa | Cambridge, Massachusetts : , : Chandos Publishing, , 2017 |
Descrizione fisica | 1 online resource (342 pages) : illustrations |
Disciplina | 320.951 |
Collana | Elsevier Asian Studies Series |
ISBN | 0-08-102231-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910583044203321 |
Li Lin
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Cambridge, Massachusetts : , : Chandos Publishing, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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The Chinese Road of the Rule of Law [[electronic resource] /] / by Lin Li |
Autore | Li Lin |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XVI, 311 p. 5 illus.) |
Disciplina | 340.30951 |
Collana | China Insights |
Soggetto topico |
Private international law
Conflict of laws Law—Philosophy Law Constitutional law Private International Law, International & Foreign Law, Comparative Law Theories of Law, Philosophy of Law, Legal History Constitutional Law |
ISBN | 981-10-8965-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Introduction: the Road and Theory of Socialist Rule of Law with Chinese Characteristics -- The Historical Process of Constructing Socialist Rule of Law with Chinese Characteristics -- Formation and Improvement of the Socialist Legal System with Chinese Characteristics -- Contemporary Chinese Model of the Rule of Law from the Perspective of Comparative Law -- Realizing Fairness and Justice through the Rule of Law -- Ruling the Country by Law and Promoting the Modernization of State Governance -- Comprehensively Promoting Ruling the Country by Law and Striving to Build China into a Country under the Rule of Law -- High-Degree Unity of the Party and the Law: the Fundamental Characteristic of the Chinese Road of the Rule of Law -- References. |
Record Nr. | UNINA-9910299863803321 |
Li Lin
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Manipulation of Near Field Propagation and Far Field Radiation of Surface Plasmon Polariton [[electronic resource] /] / by Lin Li |
Autore | Li Lin |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (X, 116 p. 80 illus., 74 illus. in color.) |
Disciplina | 530.44 |
Collana | Springer Theses, Recognizing Outstanding Ph.D. Research |
Soggetto topico |
Optics
Electrodynamics Microwaves Optical engineering Optical materials Electronic materials Lasers Photonics Classical Electrodynamics Microwaves, RF and Optical Engineering Optical and Electronic Materials Optics, Lasers, Photonics, Optical Devices |
ISBN | 981-10-4663-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Basic experimental research on surface plasmon polariton -- The principle of non-perfectly-matched Bragg diffraction and the realization of plasmonic Airy beam -- Steering surface plasmon polariton on metal surface with non-perfectly-matched Bragg diffraction -- Modulation far-field radiation with plasmonic structure -- Summary. |
Record Nr. | UNINA-9910254574103321 |
Li Lin
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Sustainable manufacturing systems : an energy perspective / / Lin Li, MengChu Zhou |
Autore | Li Lin |
Pubbl/distr/stampa | Hoboken, New Jersey : , : IEEE Press, , [2023] |
Descrizione fisica | 1 online resource (433 pages) |
Disciplina | 628 |
Collana | IEEE Press series on systems science and engineering |
Soggetto topico | Sustainable engineering |
ISBN |
1-119-57831-0
1-119-57830-2 1-119-57832-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Author Biography -- Preface -- Acknowledgments -- List of Figures -- Part I Introductions to Energy Efficiency in Manufacturing Systems -- Chapter 1 Introduction -- 1.1 Definitions and Practices of Sustainable Manufacturing -- 1.1.1 Current Status of Manufacturing Industry -- 1.1.2 Sustainability in the Manufacturing Sector and Associated Impacts -- 1.1.3 Sustainable Manufacturing Practices -- 1.2 Fundamental of Manufacturing Systems -- 1.2.1 Stages of Product Manufacturing -- 1.2.2 Classification of Manufacturing Systems -- 1.2.2.1 Job Shop -- 1.2.2.2 Project Shop -- 1.2.2.3 Cellular System -- 1.2.2.4 Flow Line -- 1.2.2.5 Continuous System -- 1.3 Problem Statement and Scope -- Problems -- References -- Chapter 2 Energy Efficiency in Manufacturing Systems -- 2.1 Energy Consumption in Manufacturing Systems -- 2.1.1 Energy and Power Basics -- 2.1.2 Energy Generation -- 2.1.2.1 Primary Energy -- 2.1.2.2 Secondary Energy -- 2.1.3 Energy Distribution -- 2.1.3.1 Electricity -- 2.1.3.2 Steam -- 2.1.3.3 Compressed Air -- 2.1.4 Energy Consumption -- 2.1.4.1 Indirect End Use -- 2.1.4.2 Direct Process End Use -- 2.1.4.3 Direct Non-process End Use -- 2.2 Energy Saving Potentials and Energy Management Strategies for Manufacturing Systems -- 2.2.1 Machine Level -- 2.2.1.1 Intrinsic Characteristics of Machine Tools -- 2.2.1.2 Processing Conditions -- 2.2.2 System Level -- 2.2.2.1 Inhomogeneous System -- 2.2.2.2 Machine Maintenance -- 2.2.3 Plant Level -- 2.2.3.1 Indirect End Use -- 2.2.3.2 Direct Non-process End Use -- 2.3 Demand-side Energy Management -- 2.3.1 Electricity Bill Components -- 2.3.1.1 Electricity Cost -- 2.3.1.2 Demand Cost -- 2.3.1.3 Fixed Cost -- 2.3.2 Energy Efficiency Programs -- 2.3.3 Demand Response Programs -- 2.3.3.1 Incentive-based Programs -- 2.3.3.2 Price Base Options -- Problems.
References -- Part II Mathematical Tools and Modeling Basics -- Chapter 3 Mathematical Tools -- 3.1 Probability -- 3.1.1 Fundamentals of Probability Theory -- 3.1.1.1 Basics of Probability Theory -- 3.1.1.2 Axioms of Probability Theory -- 3.1.1.3 Conditional Probability and Independence -- 3.1.1.4 Total Probability Theorem -- 3.1.1.5 Bayes´ Law -- 3.1.2 Random Variables -- 3.1.2.1 Discrete Random Variables -- 3.1.2.2 Continuous Random Variables -- 3.1.3 Random Process -- 3.1.3.1 Discrete-time Markov Chain -- 3.1.3.2 Continuous-time Markov Chain -- 3.2 Petri Net -- 3.2.1 Formal Definition of Petri Net -- 3.2.1.1 Definition of Petri Net -- Execution Rules of Petri Net -- 3.2.2 Classical Petri Net -- 3.2.2.1 State Machine Petri Net -- 3.2.2.2 Marked Graph -- 3.2.2.3 Systematic Modeling Methods -- 3.2.3 Deterministic Timed Petri Net -- 3.2.4 Stochastic Petri Net -- 3.3 Optimization Methods -- 3.3.1 Fundamentals of Optimization -- 3.3.1.1 Objective Function -- 3.3.1.2 Decision Variables -- 3.3.1.3 Constraints -- 3.3.1.4 Local and Global Optimum -- 3.3.1.5 Near-optimal Solutions -- 3.3.1.6 Single-objective and Multi-objective Optimization -- 3.3.1.7 Deterministic and Stochastic Optimization -- 3.3.2 Genetic Algorithms -- 3.3.2.1 Initialization -- 3.3.2.2 Evaluation -- 3.3.2.3 Selection -- 3.3.2.4 Crossover -- 3.3.2.5 Mutation -- 3.3.2.6 Termination Criteria -- 3.3.3 Particle Swarm Optimizer (PSO) -- 3.3.3.1 Initialization -- 3.3.3.2 Evaluation -- 3.3.3.3 Personal and Global Best Positions -- 3.3.3.4 Updating Velocity and Position -- 3.3.3.5 Termination Criteria -- Problems -- References -- Chapter 4 Mathematical Modeling of Manufacturing Systems -- 4.1 Basics in Manufacturing System Modeling -- 4.1.1 Structure of Manufacturing Systems -- 4.1.1.1 Basic Components -- 4.1.1.2 Structural Modeling -- 4.1.1.3 Types of Manufacturing Systems. 4.1.2 Mathematical Models of Machines and Buffers -- 4.1.2.1 Timing Issues for Machines -- 4.1.2.2 Machine Reliability Models -- 4.1.2.3 Parameters of Aggregated Machines -- 4.1.2.4 Mathematical Model of Buffers -- 4.1.2.5 Interaction Between Machines and Buffers -- 4.1.2.6 Buffer State Transition -- 4.1.2.7 Blockage and Starvation -- 4.1.3 Performance Measures -- 4.1.3.1 Blockage and Starvation -- 4.1.3.2 Production Rate and Throughput -- 4.1.3.3 Work-in-process -- 4.2 Two-machine Production Lines -- 4.2.1 Conventions and Notations -- 4.2.1.1 Assumptions -- 4.2.1.2 Notations -- 4.2.2 State Transition -- 4.2.2.1 State Transition Probabilities -- 4.2.2.2 System Dynamics -- 4.2.3 Steady-state Probabilities -- 4.2.3.1 Identical Machines -- 4.2.3.2 Nonidentical Machines -- 4.2.4 Performance Measures -- 4.2.4.1 Blockage and Starvation -- 4.2.4.2 Production Rate -- 4.2.4.3 Work-in-process -- 4.3 Multi-machine Production Lines -- 4.3.1 Assumptions and Notations -- 4.3.1.1 Assumptions -- 4.3.1.2 Notations -- 4.3.2 State Transition -- 4.3.2.1 State Transition Probabilities -- 4.3.2.2 System Dynamics -- 4.3.3 Performance Measures -- 4.3.3.1 Blockage and Starvation -- 4.3.3.2 Production Rate -- 4.3.3.3 Work-in-process -- 4.3.4 System Modeling with Iteration-based Method -- 4.4 Production Lines Coupled with Material Handling Systems -- 4.4.1 Assumptions and Notations -- 4.4.1.1 Assumptions -- 4.4.1.2 Notations -- 4.4.2 State Transition and Performance -- 4.4.2.1 Blockage and Starvation -- 4.4.2.2 Production Rate -- Problems -- References -- Chapter 5 Energy Efficiency Characterization in Manufacturing Systems -- 5.1 Energy Consumption Modeling -- 5.1.1 Operation-based Energy Modeling -- 5.1.2 Component-based Energy Modeling -- 5.1.3 System-level Energy Modeling -- 5.2 Energy Cost Modeling -- 5.2.1 Energy Cost Under Flat Rate -- 5.2.1.1 Energy Consumption Cost. 5.2.1.2 Demand Cost -- 5.2.2 Energy Cost Under Time-of-use Rate -- 5.2.2.1 Energy Consumption Cost -- 5.2.2.2 Demand Cost -- 5.2.3 Energy Cost Under Critical Peak Price (CPP) -- 5.2.3.1 Energy Consumption Cost -- 5.2.3.2 Demand Cost -- Problems -- References -- Part III Energy Management in Typical Manufacturing Systems -- Chapter 6 Electricity Demand Response for Manufacturing Systems -- 6.1 Time-of-use Pricing for Manufacturing Systems -- 6.1.1 Introduction to TOU -- 6.1.2 Survey of TOU Pricing in US Utilities -- 6.1.3 Comparison of Energy Cost Between Flat Rate and TOU Rates -- 6.2 TOU-based Production Scheduling for Manufacturing Systems -- 6.2.1 Manufacturing Systems Modeling -- 6.2.2 Energy Consumption and Energy Cost Modeling -- 6.2.3 Production Scheduling for TOU-based Demand Response -- 6.2.3.1 Production Scheduling Problem Formulation -- 6.2.3.2 PSO Algorithm for Near-optimal Solutions -- 6.2.3.3 Case Study Setup -- 6.2.3.4 Optimal Production Schedules -- 6.3 Critical Peak Pricing for Manufacturing Systems -- 6.3.1 Introduction to Critical Peak Pricing (CPP) -- 6.3.2 Comparison of Energy Cost Between TOU and CPP Rates -- Problems -- Appendix 3.A Supplementary Information of Demand Response Tariffs -- References -- Chapter 7 Energy Control and Optimization for Manufacturing Systems Utilizing Combined Heat and Power System -- 7.1 Introduction to Combined Heat and Power System -- 7.2 Problem Definition and Modeling -- 7.2.1 Objective Function -- 7.2.1.1 Electricity Cost -- 7.2.1.2 Operation Cost for the CHP System and Boiler -- 7.2.2 Constraints -- 7.3 Solution Approach -- 7.3.1 Initialization -- 7.3.2 Evaluation -- 7.3.3 Updating Process -- 7.4 Case Study -- 7.4.1 Case Study Settings -- 7.4.2 Results and Discussions -- Problems -- References -- Chapter 8 Plant-level Energy Management for Combined Manufacturing and HVAC System. 8.1 Definition and Modeling -- 8.1.1 Objective Function -- 8.1.1.1 Calculate TEL(t) -- 8.1.1.2 Estimate q(t) -- 8.1.2 Constraints -- 8.2 Solution Approach -- 8.2.1 Initialization -- 8.2.2 Evaluation -- 8.2.3 Updating Process -- 8.3 Case Study -- 8.3.1 Model Settings -- 8.3.2 Results and Discussions -- Problems -- References -- Part IV Energy Management in Advanced Manufacturing Systems -- Chapter 9 Energy Analysis of Stereolithography-based Additive Manufacturing -- 9.1 Introduction to Additive Manufacturing -- 9.1.1 Illustration of MIP SL-based AM Process -- 9.2 Energy Consumption Modeling -- 9.2.1 Energy Consumption of UV Curing Process -- 9.2.2 Energy Consumption of Building Platform Movement -- 9.2.3 Energy Consumption of Cooling System -- 9.3 Experimentation -- 9.3.1 Experiment Design Methodology -- 9.3.2 Experiment Apparatus -- 9.4 Results and Discussions -- 9.4.1 Baseline Case Results Using Default Conditions -- 9.4.2 Factorial Analysis Results -- 9.4.3 Product Quality Comparison -- Problems -- References -- Chapter 10 Energy Efficiency Modeling and Optimization of Cellulosic Biofuel Manufacturing System -- 10.1 Introduction to Cellulosic Biofuel Manufacturing -- 10.2 Energy Modeling of Cellulosic Biofuel Production -- 10.2.1 Energy Modeling of Biomass Size Reduction Process -- 10.2.2 Energy Modeling of Biofuel Chemical Conversion Processes -- 10.2.2.1 Heating Energy -- 10.2.2.2 Energy Loss -- 10.2.2.3 Reaction Energy -- 10.2.2.4 Energy Recovery -- 10.2.2.5 Total Energy Consumption -- 10.3 Energy Consumption Optimization Using PSO -- 10.3.1 Problem Formulation -- 10.3.2 Solution Procedures -- 10.3.2.1 Initialization -- 10.3.2.2 Evaluation -- 10.3.2.3 Updating Process -- 10.4 Case Study -- 10.4.1 Case Settings -- 10.4.2 Energy Analysis of Baseline Case -- 10.4.2.1 Energy Consumption Breakdown -- 10.4.3 Energy Analysis of Optimal Results. Problems. |
Record Nr. | UNINA-9910829909803321 |
Li Lin
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Hoboken, New Jersey : , : IEEE Press, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Sustainable Manufacturing Systems |
Autore | Li Lin |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2022 |
Descrizione fisica | 1 online resource (433 pages) |
Disciplina | 670 |
Altri autori (Persone) | ZhouMengChu |
Collana | IEEE Press Series on Systems Science and Engineering Ser. |
ISBN |
1-119-57831-0
1-119-57830-2 1-119-57832-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Author Biography -- Preface -- Acknowledgments -- List of Figures -- Part I Introductions to Energy Efficiency in Manufacturing Systems -- Chapter 1 Introduction -- 1.1 Definitions and Practices of Sustainable Manufacturing -- 1.1.1 Current Status of Manufacturing Industry -- 1.1.2 Sustainability in the Manufacturing Sector and Associated Impacts -- 1.1.3 Sustainable Manufacturing Practices -- 1.2 Fundamental of Manufacturing Systems -- 1.2.1 Stages of Product Manufacturing -- 1.2.2 Classification of Manufacturing Systems -- 1.2.2.1 Job Shop -- 1.2.2.2 Project Shop -- 1.2.2.3 Cellular System -- 1.2.2.4 Flow Line -- 1.2.2.5 Continuous System -- 1.3 Problem Statement and Scope -- Problems -- References -- Chapter 2 Energy Efficiency in Manufacturing Systems -- 2.1 Energy Consumption in Manufacturing Systems -- 2.1.1 Energy and Power Basics -- 2.1.2 Energy Generation -- 2.1.2.1 Primary Energy -- 2.1.2.2 Secondary Energy -- 2.1.3 Energy Distribution -- 2.1.3.1 Electricity -- 2.1.3.2 Steam -- 2.1.3.3 Compressed Air -- 2.1.4 Energy Consumption -- 2.1.4.1 Indirect End Use -- 2.1.4.2 Direct Process End Use -- 2.1.4.3 Direct Non-process End Use -- 2.2 Energy Saving Potentials and Energy Management Strategies for Manufacturing Systems -- 2.2.1 Machine Level -- 2.2.1.1 Intrinsic Characteristics of Machine Tools -- 2.2.1.2 Processing Conditions -- 2.2.2 System Level -- 2.2.2.1 Inhomogeneous System -- 2.2.2.2 Machine Maintenance -- 2.2.3 Plant Level -- 2.2.3.1 Indirect End Use -- 2.2.3.2 Direct Non-process End Use -- 2.3 Demand-side Energy Management -- 2.3.1 Electricity Bill Components -- 2.3.1.1 Electricity Cost -- 2.3.1.2 Demand Cost -- 2.3.1.3 Fixed Cost -- 2.3.2 Energy Efficiency Programs -- 2.3.3 Demand Response Programs -- 2.3.3.1 Incentive-based Programs -- 2.3.3.2 Price Base Options -- Problems.
References -- Part II Mathematical Tools and Modeling Basics -- Chapter 3 Mathematical Tools -- 3.1 Probability -- 3.1.1 Fundamentals of Probability Theory -- 3.1.1.1 Basics of Probability Theory -- 3.1.1.2 Axioms of Probability Theory -- 3.1.1.3 Conditional Probability and Independence -- 3.1.1.4 Total Probability Theorem -- 3.1.1.5 Bayes´ Law -- 3.1.2 Random Variables -- 3.1.2.1 Discrete Random Variables -- 3.1.2.2 Continuous Random Variables -- 3.1.3 Random Process -- 3.1.3.1 Discrete-time Markov Chain -- 3.1.3.2 Continuous-time Markov Chain -- 3.2 Petri Net -- 3.2.1 Formal Definition of Petri Net -- 3.2.1.1 Definition of Petri Net -- Execution Rules of Petri Net -- 3.2.2 Classical Petri Net -- 3.2.2.1 State Machine Petri Net -- 3.2.2.2 Marked Graph -- 3.2.2.3 Systematic Modeling Methods -- 3.2.3 Deterministic Timed Petri Net -- 3.2.4 Stochastic Petri Net -- 3.3 Optimization Methods -- 3.3.1 Fundamentals of Optimization -- 3.3.1.1 Objective Function -- 3.3.1.2 Decision Variables -- 3.3.1.3 Constraints -- 3.3.1.4 Local and Global Optimum -- 3.3.1.5 Near-optimal Solutions -- 3.3.1.6 Single-objective and Multi-objective Optimization -- 3.3.1.7 Deterministic and Stochastic Optimization -- 3.3.2 Genetic Algorithms -- 3.3.2.1 Initialization -- 3.3.2.2 Evaluation -- 3.3.2.3 Selection -- 3.3.2.4 Crossover -- 3.3.2.5 Mutation -- 3.3.2.6 Termination Criteria -- 3.3.3 Particle Swarm Optimizer (PSO) -- 3.3.3.1 Initialization -- 3.3.3.2 Evaluation -- 3.3.3.3 Personal and Global Best Positions -- 3.3.3.4 Updating Velocity and Position -- 3.3.3.5 Termination Criteria -- Problems -- References -- Chapter 4 Mathematical Modeling of Manufacturing Systems -- 4.1 Basics in Manufacturing System Modeling -- 4.1.1 Structure of Manufacturing Systems -- 4.1.1.1 Basic Components -- 4.1.1.2 Structural Modeling -- 4.1.1.3 Types of Manufacturing Systems. 4.1.2 Mathematical Models of Machines and Buffers -- 4.1.2.1 Timing Issues for Machines -- 4.1.2.2 Machine Reliability Models -- 4.1.2.3 Parameters of Aggregated Machines -- 4.1.2.4 Mathematical Model of Buffers -- 4.1.2.5 Interaction Between Machines and Buffers -- 4.1.2.6 Buffer State Transition -- 4.1.2.7 Blockage and Starvation -- 4.1.3 Performance Measures -- 4.1.3.1 Blockage and Starvation -- 4.1.3.2 Production Rate and Throughput -- 4.1.3.3 Work-in-process -- 4.2 Two-machine Production Lines -- 4.2.1 Conventions and Notations -- 4.2.1.1 Assumptions -- 4.2.1.2 Notations -- 4.2.2 State Transition -- 4.2.2.1 State Transition Probabilities -- 4.2.2.2 System Dynamics -- 4.2.3 Steady-state Probabilities -- 4.2.3.1 Identical Machines -- 4.2.3.2 Nonidentical Machines -- 4.2.4 Performance Measures -- 4.2.4.1 Blockage and Starvation -- 4.2.4.2 Production Rate -- 4.2.4.3 Work-in-process -- 4.3 Multi-machine Production Lines -- 4.3.1 Assumptions and Notations -- 4.3.1.1 Assumptions -- 4.3.1.2 Notations -- 4.3.2 State Transition -- 4.3.2.1 State Transition Probabilities -- 4.3.2.2 System Dynamics -- 4.3.3 Performance Measures -- 4.3.3.1 Blockage and Starvation -- 4.3.3.2 Production Rate -- 4.3.3.3 Work-in-process -- 4.3.4 System Modeling with Iteration-based Method -- 4.4 Production Lines Coupled with Material Handling Systems -- 4.4.1 Assumptions and Notations -- 4.4.1.1 Assumptions -- 4.4.1.2 Notations -- 4.4.2 State Transition and Performance -- 4.4.2.1 Blockage and Starvation -- 4.4.2.2 Production Rate -- Problems -- References -- Chapter 5 Energy Efficiency Characterization in Manufacturing Systems -- 5.1 Energy Consumption Modeling -- 5.1.1 Operation-based Energy Modeling -- 5.1.2 Component-based Energy Modeling -- 5.1.3 System-level Energy Modeling -- 5.2 Energy Cost Modeling -- 5.2.1 Energy Cost Under Flat Rate -- 5.2.1.1 Energy Consumption Cost. 5.2.1.2 Demand Cost -- 5.2.2 Energy Cost Under Time-of-use Rate -- 5.2.2.1 Energy Consumption Cost -- 5.2.2.2 Demand Cost -- 5.2.3 Energy Cost Under Critical Peak Price (CPP) -- 5.2.3.1 Energy Consumption Cost -- 5.2.3.2 Demand Cost -- Problems -- References -- Part III Energy Management in Typical Manufacturing Systems -- Chapter 6 Electricity Demand Response for Manufacturing Systems -- 6.1 Time-of-use Pricing for Manufacturing Systems -- 6.1.1 Introduction to TOU -- 6.1.2 Survey of TOU Pricing in US Utilities -- 6.1.3 Comparison of Energy Cost Between Flat Rate and TOU Rates -- 6.2 TOU-based Production Scheduling for Manufacturing Systems -- 6.2.1 Manufacturing Systems Modeling -- 6.2.2 Energy Consumption and Energy Cost Modeling -- 6.2.3 Production Scheduling for TOU-based Demand Response -- 6.2.3.1 Production Scheduling Problem Formulation -- 6.2.3.2 PSO Algorithm for Near-optimal Solutions -- 6.2.3.3 Case Study Setup -- 6.2.3.4 Optimal Production Schedules -- 6.3 Critical Peak Pricing for Manufacturing Systems -- 6.3.1 Introduction to Critical Peak Pricing (CPP) -- 6.3.2 Comparison of Energy Cost Between TOU and CPP Rates -- Problems -- Appendix 3.A Supplementary Information of Demand Response Tariffs -- References -- Chapter 7 Energy Control and Optimization for Manufacturing Systems Utilizing Combined Heat and Power System -- 7.1 Introduction to Combined Heat and Power System -- 7.2 Problem Definition and Modeling -- 7.2.1 Objective Function -- 7.2.1.1 Electricity Cost -- 7.2.1.2 Operation Cost for the CHP System and Boiler -- 7.2.2 Constraints -- 7.3 Solution Approach -- 7.3.1 Initialization -- 7.3.2 Evaluation -- 7.3.3 Updating Process -- 7.4 Case Study -- 7.4.1 Case Study Settings -- 7.4.2 Results and Discussions -- Problems -- References -- Chapter 8 Plant-level Energy Management for Combined Manufacturing and HVAC System. 8.1 Definition and Modeling -- 8.1.1 Objective Function -- 8.1.1.1 Calculate TEL(t) -- 8.1.1.2 Estimate q(t) -- 8.1.2 Constraints -- 8.2 Solution Approach -- 8.2.1 Initialization -- 8.2.2 Evaluation -- 8.2.3 Updating Process -- 8.3 Case Study -- 8.3.1 Model Settings -- 8.3.2 Results and Discussions -- Problems -- References -- Part IV Energy Management in Advanced Manufacturing Systems -- Chapter 9 Energy Analysis of Stereolithography-based Additive Manufacturing -- 9.1 Introduction to Additive Manufacturing -- 9.1.1 Illustration of MIP SL-based AM Process -- 9.2 Energy Consumption Modeling -- 9.2.1 Energy Consumption of UV Curing Process -- 9.2.2 Energy Consumption of Building Platform Movement -- 9.2.3 Energy Consumption of Cooling System -- 9.3 Experimentation -- 9.3.1 Experiment Design Methodology -- 9.3.2 Experiment Apparatus -- 9.4 Results and Discussions -- 9.4.1 Baseline Case Results Using Default Conditions -- 9.4.2 Factorial Analysis Results -- 9.4.3 Product Quality Comparison -- Problems -- References -- Chapter 10 Energy Efficiency Modeling and Optimization of Cellulosic Biofuel Manufacturing System -- 10.1 Introduction to Cellulosic Biofuel Manufacturing -- 10.2 Energy Modeling of Cellulosic Biofuel Production -- 10.2.1 Energy Modeling of Biomass Size Reduction Process -- 10.2.2 Energy Modeling of Biofuel Chemical Conversion Processes -- 10.2.2.1 Heating Energy -- 10.2.2.2 Energy Loss -- 10.2.2.3 Reaction Energy -- 10.2.2.4 Energy Recovery -- 10.2.2.5 Total Energy Consumption -- 10.3 Energy Consumption Optimization Using PSO -- 10.3.1 Problem Formulation -- 10.3.2 Solution Procedures -- 10.3.2.1 Initialization -- 10.3.2.2 Evaluation -- 10.3.2.3 Updating Process -- 10.4 Case Study -- 10.4.1 Case Settings -- 10.4.2 Energy Analysis of Baseline Case -- 10.4.2.1 Energy Consumption Breakdown -- 10.4.3 Energy Analysis of Optimal Results. Problems. |
Record Nr. | UNINA-9910632500903321 |
Li Lin
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Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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