Lin Li, Mengchu Zhou

Sustainable Manufacturing Systems (eBook, ePUB)

An Energy Perspective

• Format: ePub

Produktbeschreibung

Sustainable Manufacturing Systems Learn more about energy efficiency in traditional and advanced manufacturing settings with this leading and authoritative resource Sustainable Manufacturing Systems: An Energy Perspective delivers a comprehensive analysis of energy efficiency in sustainable manufacturing. The book presents manufacturing modeling methods and energy efficiency evaluation and improvement methods for different manufacturing systems. It allows industry professionals to understand the methodologies and techniques being embraced around the world that lead to advanced energy management. The book offers readers a comprehensive and systematic theoretical foundation for novel manufacturing system modeling, analysis, and control. It concludes with a summary of the insights and applications contained within and a discussion of future research issues that have yet to be grappled with. Sustainable Manufacturing Systems answers the questions that energy customers, managers, decision makers, and researchers have been asking about sustainable manufacturing. The book's release coincides with recent and profound advances in smart grid applications and will serve as a practical tool to assist industrial engineers in furthering the green revolution. Readers will also benefit from: * A thorough introduction to energy efficiency in manufacturing systems, including the current state of research and research methodologies * An exploration of the development of manufacturing methodologies, including mathematical modeling for manufacturing systems and energy efficiency characterization in manufacturing systems * An analysis of the applications of various methodologies, including electricity demand response for manufacturing systems and energy control and optimization for manufacturing systems utilizing combined heat and power systems * A discussion of energy efficiency in advanced manufacturing systems, like stereolithography additive manufacturing and cellulosic biofuel manufacturing systems Perfect for researchers, undergraduate students, and graduate students in engineering disciplines, especially for those majoring in industrial, mechanical, electrical, and environmental engineering, Sustainable Manufacturing Systems will also earn a place in the libraries of management and business students interested in manufacturing system cost performance and energy management.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 432
• Erscheinungstermin: 4. November 2022
• Englisch
• ISBN-13: 9781119578321
• Artikelnr.: 66401162

Autorenporträt

LIN LI, PHD, is an Assistant Professor in the Department of Mechanical and Industrial Engineering at the University of Illinois at Chicago. Dr. Li has published over sixty scientific papers in scholarly journals and 34 for conferences. MENGCHU ZHOU, PHD, is a Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), in the United States. He is an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics Systems, and is a Fellow of the IEEE, IFAC, and AAAS.

Inhaltsangabe

Author Biography xv

Preface xvii

Acknowledgments xxiii

List of Figures xxv

Part I Introductions to Energy Efficiency in Manufacturing Systems 1

1 Introduction 3

1.1 Definitions and Practices of Sustainable Manufacturing 3

1.1.1 Current Status of Manufacturing Industry 3

1.1.2 Sustainability in the Manufacturing Sector and Associated Impacts 5

1.1.3 Sustainable Manufacturing Practices 10

1.2 Fundamental of Manufacturing Systems 12

1.2.1 Stages of Product Manufacturing 12

1.2.2 Classification of Manufacturing Systems 13

1.2.2.1 Job Shop 13

1.2.2.2 Project Shop 14

1.2.2.3 Cellular System 15

1.2.2.4 Flow Line 15

1.2.2.5 Continuous System 15

1.3 Problem Statement and Scope 18

Problems 19

References 19

2 Energy Efficiency in Manufacturing Systems 23

2.1 Energy Consumption in Manufacturing Systems 23

2.1.1 Energy and Power Basics 23

2.1.2 Energy Generation 24

2.1.2.1 Primary Energy 25

2.1.2.2 Secondary Energy 27

2.1.3 Energy Distribution 27

2.1.3.1 Electricity 28

2.1.3.2 Steam 30

2.1.3.3 Compressed Air 30

2.1.4 Energy Consumption 31

2.1.4.1 Indirect End Use 33

2.1.4.2 Direct Process End Use 33

2.1.4.3 Direct Non-process End Use 34

2.2 Energy Saving Potentials and Energy Management Strategies for Manufacturing Systems 35

2.2.1 Machine Level 39

2.2.1.1 Intrinsic Characteristics of Machine Tools 41

2.2.1.2 Processing Conditions 42

2.2.2 System Level 43

2.2.2.1 Inhomogeneous System 44

2.2.2.2 Machine Maintenance 45

2.2.3 Plant Level 46

2.2.3.1 Indirect End Use 46

2.2.3.2 Direct Non-process End Use 47

2.3 Demand-side Energy Management 49

2.3.1 Electricity Bill Components 50

2.3.1.1 Electricity Cost 51

2.3.1.2 Demand Cost 51

2.3.1.3 Fixed Cost 52

2.3.2 Energy Efficiency Programs 52

2.3.3 Demand Response Programs 55

2.3.3.1 Incentive-based Programs 56

2.3.3.2 Price Base Options 57

Problems 59

References 59

Part II Mathematical Tools and Modeling Basics 65

3 Mathematical Tools 67

3.1 Probability 67

3.1.1 Fundamentals of Probability Theory 67

3.1.1.1 Basics of Probability Theory 67

3.1.1.2 Axioms of Probability Theory 69

3.1.1.3 Conditional Probability and Independence 72

3.1.1.4 Total Probability Theorem 73

3.1.1.5 Bayes' Law 74

3.1.2 Random Variables 74

3.1.2.1 Discrete Random Variables 75

3.1.2.2 Continuous Random Variables 82

3.1.3 Random Process 88

3.1.3.1 Discrete-time Markov Chain 89

3.1.3.2 Continuous-time Markov Chain 92

3.2 Petri Net 94

3.2.1 Formal Definition of Petri Net 95

3.2.1.1 Definition of Petri Net 95

3.2.2 Classical Petri Net 99

3.2.2.1 State Machine Petri Net 101

3.2.2.2 Marked Graph 102

3.2.2.3 Systematic Modeling Methods 105

3.2.3 Deterministic Timed Petri Net 106

3.2.4 Stochastic Petri Net 109

3.3 Optimization Methods 113

3.3.1 Fundamentals of Optimization 113

3.3.1.1 Objective Function 114

3.3.1.2 Decision Variables 114

3.3.1.3 Constraints 115

3.3.1.4 Local and Global Optimum 116

3.3.1.5 Near-optimal Solutions 117
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