BSI PD IEC/TR 62837:2013
$215.11
Energy efficiency through automation systems
Published By | Publication Date | Number of Pages |
BSI | 2013 | 78 |
This Technical Report provides to the technical committees a framework for the development and adaptation of documents in order to improve energy efficiency in manufacturing, process control and industrial facility management.
PDF Catalog
PDF Pages | PDF Title |
---|---|
4 | CONTENTS |
8 | FOREWORD |
10 | INTRODUCTION |
11 | 1 Scope 2 Normative references 3 Terms and definitions 3.1 Energy |
12 | 3.2 Energy use and energy consumption |
13 | 3.3 Energy efficiency |
15 | 3.4 Energy performance 3.5 Energy management 3.6 Automation process equipment |
16 | 3.7 Automation system |
17 | 4 Abbreviations and alphabetical index 4.1 Abbreviated terms |
18 | 4.2 Alphabetical index of terms |
20 | 5 Generic models 5.1 Functional hierarchy of production systems Figures Figure 1 – Functional hierarchy of production systems according to IEC 62264 |
21 | 5.2 Functions in level 4 5.3 Functions in level 3 or lower Figure 2 – Energy functions mapped over the functional hierarchy levels (IEC 62264) |
22 | 5.4 Application function and automation function |
23 | Figure 3 – Structural overview of automated industrial plants |
24 | 6 Generic tools and methods 6.1 Organisational issues 6.2 Energy managed unit (EMU) Figure 4 – Plant application with automation assets |
25 | 6.3 General recommendations 6.3.1 Architecture of energy sourcing Figure 5 – Energy managed unit (EMU) |
26 | 6.3.2 Managed energy efficiency |
27 | 6.3.3 Low power states 6.3.4 Standardised component interface 6.3.5 Control systems |
28 | 6.3.6 Classification and energy labels for components and systems 6.3.7 Simulation of systems and components |
29 | 6.4 Key performance indicators (KPIs) for energy efficiency 6.4.1 Basics for defining KPIs for energy efficiency Figure 6 – Start up phase of a system and its power consumption |
30 | Figure 7 – Creation of an energy baseline model Figure 8 – Measurement of energy savings |
31 | Tables Table 1 – Guideline for EMU energy data |
32 | 6.4.2 Recommendations for defining KPIs for energy efficiency Figure 9 – KPI and its driving factor |
33 | 6.4.3 Guidelines for defining KPIs |
35 | Figure 10 – Characteristics of the energy baseline model |
36 | Figure 11 – Production system hierarchy |
37 | Figure 12 – Energy consumption characteristics of equipment |
38 | Table 2 – Guideline to define KPIs for EMU |
39 | Table 3 – Guideline for the definition of KPIs for products |
40 | 7 Applications 7.1 The application point of view 7.1.1 Energy consumption in industry Table 4 – KPI description based on ISO 22400-2 model |
42 | 7.1.2 Characteristics of production processes 7.2 Discrete manufacturing 7.2.1 Description Table 5 – Characteristics of production processes |
43 | Figure 13 – Model of automotive production |
44 | 7.2.2 Recommendations for discrete manufacturing |
45 | 7.3 Process industry 7.3.1 Description Figure 14 – Supervisory control |
46 | 7.3.2 General recommendations for the process industry |
47 | 7.3.3 Existing standards 7.3.4 Gaps 7.3.5 Specific recommendations |
48 | 7.4 Support functions 7.4.1 General 7.4.2 Building automation and facility management 8 Components 8.1 The component specific view |
49 | 8.2 Actuators 8.2.1 Electrical drives: regulate or self-learn optimal energy efficiency 8.2.2 Electrical drives: standardised intermediate current link |
50 | Annex A (informative) System boundary Figure A.1 – Unit process model |
51 | Figure A.2 – Unit process model dealing with the direct and indirect influences Figure A.3 – Process units in the definition and context of plants |
52 | Figure A.4 – Typical expanded equipment hierarchy |
53 | Annex B (informative) Current approaches for KPIs for energy efficiency B.1 Existing KPIs B.2 KPIs for components B.3 KPIs for products |
54 | B.4 KPIs for systems B.5 Target values of KPI by industry sectors in Japan |
55 | Table B.1 – Target values of KPI by industry sectors in Japan |
56 | B.6 How to measure the energy consumed to produce a product |
57 | Figure B.1 – Product production process Figure B.2 – Production process flow |
58 | Annex C (informative) Energy baseline model C.1 Guidelines for the creation and usage of an energy baseline model Figure C.1 – Energy baseline model |
59 | C.2 Examples of a facility energy baseline model C.2.1 General C.2.2 Cooling water pump with parallel pumping control Table C.1 – Guidelines for defining an energy baseline model |
60 | C.2.3 Cooling water pumps with variable frequency AC drive Figure C.2 – Cooling water pump facility with parallel pumping control |
61 | Figure C.3 – Cooling water pumps with variable frequency AC drive |
62 | Annex D (informative) Energy labels D.1 Examples of energy labels D.2 Energy label for electrical motors Figure D.1 – Examples of energy labels |
63 | Annex E (informative) “RENKEI” control E.1 Background of “RENKEI” control E.2 “RENKEI” control |
64 | Figure E.1 – “RENKEI” control Figure E.2 – “RENKEI” control detail |
65 | Figure E.3 – Energy flow in a factory |
66 | Annex F (informative) Measurement and control technologies that support energy efficiency improvement F.1 Technologies to improve energy efficiency F.2 Detection of air leakage Figure F.1 – Components and automation functions |
67 | F.3 Control valves Figure F.2 – Pipe air leaks Table F.1 – Pipe air leaks detected by ultrasonic sensing device |
68 | F.4 Control loop performance improvements Figure F.3 – Structure of control valve Figure F.4 – Control loop performance improvements |
69 | F.5 Combustion control Figure F.5 – The effects of control performance analysis and tuning Figure F.6 – Relationship between air-fuel ratio and heat efficiency (combustion) |
70 | F.6 Advanced process control (APC) Figure F.7 – CO and O2 control system for combustion furnace |
71 | Figure F.8 – APC |
72 | F.7 Air supply pressure control F.8 Steam header pressure control Figure F.9 – Example of APC application for distillation column Figure F.10 – Air supply pressure control by pressure transmitter and compressor |
73 | F.9 Optimal operational planning system Figure F.11 – Control of steam header pressureby means of compressor quantity control |
74 | F.10 Analytical sensors Figure F.12 – Optimal operational planning system |
75 | Figure F.13 – Coal gasification plant |
76 | Bibliography |