BSI PD IEC/TS 62600-101:2015
$198.66
Marine energy. Wave, tidal and other water current converters – Wave energy resource assessment and characterization
Published By | Publication Date | Number of Pages |
BSI | 2015 | 58 |
This part of IEC 62600 , which is a Technical Specification, establishes a system for estimating, analysing and reporting the wave energy resource at sites potentially suitable for the installation of Wave Energy Converters (WECs). This Technical Specification is to be applied at all stages of site assessment (from initial investigations to detailed project design) and in conjunction with the IEC Technical Specification on WEC performance ( IEC TS 62600‑100 ) enables an estimate of the annual energy production of a WEC or WEC array to be calculated. This Technical Specification is not intended for estimation of extreme wave conditions.
The wave energy resource is primarily defined using hydrodynamic models that are successfully validated against measurements. The framework and methodologies prescribed in this Technical Specification are intended to ensure that only adequate models are used, and that they are applied in an appropriate manner to ensure confidence and consistency in the reported results. Moreover, the document prescribes methods for analysing metocean data (including the data generated by modelling) in order to properly quantify and characterize the temporal and spatial attributes of the wave energy resource, and for reporting the results of a resource assessment in a comprehensive and consistent manner.
PDF Catalog
PDF Pages | PDF Title |
---|---|
4 | CONTENTS |
7 | FOREWORD |
9 | INTRODUCTION |
10 | 1 Scope 2 Normative references 3 Terms and definitions |
12 | 4 Symbols and units |
13 | 5 Classes of resource assessment 5.1 Introductory remarks 5.2 Resource assessment and characterization flow chart Tables Table 1 – Classes of resource assessment |
15 | Figures Figure 1 – Wave resource assessment and characterization flow chart |
16 | 6 Study planning and data collection 6.1 Introductory remarks 6.2 Study area 6.3 Bathymetry 6.4 Existing wave data Table 2 – Resolution of bathymetric data |
17 | 6.5 Wave measurement 6.5.1 Purpose 6.5.2 Selection of measuring instrument and analysis methodology |
18 | 6.5.3 Instrument calibration 6.5.4 Instrument deployment Table 3 – Minimum requirements for wave measuring instruments and associated analysis |
19 | 6.5.5 Redundancy 6.5.6 Analysis of measurements 6.6 Wind data Table 4 – Resolution of wind data |
20 | 6.7 Tide data 6.8 Current data 6.9 Ice coverage and/or exceptional environmental conditions 6.10 Water density 6.11 Gravitational acceleration |
21 | 7 Numerical modelling 7.1 Introductory remarks 7.2 Suitable numerical models Table 5 – Elements of suitable numerical models |
23 | 7.3 Definition of boundary conditions |
24 | 7.4 Modelling the nearshore resource |
25 | 7.5 Effect of WEC array on wave energy resource 7.6 Validation of numerical models 7.6.1 Introductory remarks 7.6.2 Validation data specification |
26 | 7.6.3 Procedure |
27 | Table 6 – Minimum validation requirements |
29 | 7.6.4 Extent of validation Figure 2 – Validation flow chart |
30 | 7.7 Model tuning and calibration |
31 | 8 Measure-Correlate-Predict (MCP) 8.1 Introductory remarks 8.2 Procedures |
32 | 9 Data analysis 9.1 Introductory remarks |
33 | 9.2 Characterization using two-dimensional wave spectra 9.2.1 Overview 9.2.2 Omni-directional wave power 9.2.3 Characteristic wave height |
34 | 9.2.4 Characteristic wave period 9.2.5 Spectral width 9.2.6 Directionally resolved wave power |
35 | 9.2.7 Wave system partitioning 9.3 Estimation of wave power using parameterized sea states |
36 | 9.4 Aggregation and statistics of results 9.4.1 General 9.4.2 Mean 9.4.3 Standard deviation 9.4.4 Percentiles 9.4.5 Monthly variability |
37 | 9.5 Uncertainty of the resource assessment 10 Reporting of results 10.1 Introductory remarks Table 7 – Uncertainty categories |
38 | 10.2 Selection of study points 10.3 Technical report 10.4 Digital database |
39 | 10.5 Presentation of regional information Table 8 – Summary of wave energy resource parameters to be archived and mapped |
40 | 10.6 Presentation of information at study points Figure 3 – Example map of mean annual wave power |
42 | Figure 4 – Example of a scatter table summarizing a long-term wave climate in terms of Hm0 and Te Figure 5 – Example of a wave power rose |
43 | Figure 6 – Example plot showing the distribution of wave power for different months |
44 | Annex A (informative)A method for sensitivity analysis A.1 General A.2 Specification of significance A.3 Sample sea states Table A.1 – Recommended sensitivity thresholds |
45 | A.4 Condition of insensitivity Table A.2 – Recommended condition of insensitivity |
46 | Annex B (normative)Evaluation of measurement uncertainty B.1 General B.2 Uncertainty analysis Table B.1 – List of uncertainty components |
47 | Annex C (informative)Example calculation of long-term uncertainty C.1 General Figure C.1 – Annual wave power variability in the UK. Eleven sites in North East, North West and South West Regions [4] |
48 | C.2 Climatic variability Figure C.2 – Comparison between mean annual power from the E04 model dataset and the North Atlantic Oscillation index from 1988 to 2006 [5] Table C.1 – Comparison of Mean Average Error (MAE) and Maximum error (Max error) between the 3, 5 and 10 year averages of the data at the combined UK sites and the E04 Dataset (WaveHub) |
49 | Figure C.3 – Recorded North Atlantic Oscillation index from 1825 to 2010 (red bars), with a five year moving average (black line) [5] |
50 | Figure C.4 – Annual, 5-year, 10-year and 20-year moving averages of available wave power at the a site [7] Figure C.5 – Annual mean power and running 5, 10 and 20 year mean values, 150 km North of Scotland [6] |
51 | C.3 Anthropogenic climatic variability C.4 Conclusion |
52 | Annex D (informative)Nearshore resource D.1 General D.2 Limiting water depth |
53 | D.3 Bathymetry D.4 Fluctuating water level D.5 Currents D.6 Validation |
54 | D.7 Uncertainty |
55 | Bibliography |