BSI PD IEC/TS 62600-201:2015
$189.07
Marine energy. Wave, tidal and other water current converters – Tidal energy resource assessment and characterization
| Published By | Publication Date | Number of Pages |
| BSI | 2015 | 50 |
This part of
It is intended to be applied at various stages of project lifecycle to provide suitably accurate estimates of the tidal resource to enable the arrays’ projected annual energy production to be calculated at each TEC location in conjunction with IEC 62600‑200 .
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 4 | CONTENTS |
| 6 | FOREWORD |
| 8 | INTRODUCTION |
| 9 | 1 Scope 2 Normative references 3 Terms and definitions 4 Symbols, units and abbreviations 4.1 Symbols and units |
| 10 | 4.2 Abbreviations 5 Methodology overview 5.1 Project definition 5.1.1 General |
| 11 | 5.1.2 Stage 1: Feasibility study 5.1.3 Stage 2: Layout design study 5.2 Methodology Tables Table 1 – Resource assessment stages |
| 13 | Table 2 – Model and field survey recommendations (Overview) |
| 14 | 6 Data collection 6.1 Introduction 6.2 Bathymetry |
| 15 | 6.3 Tidal characteristics 6.3.1 General 6.3.2 Assessment of data quality |
| 16 | 6.3.3 Tidal height 6.3.4 Tidal current mobile survey |
| 18 | 6.3.5 Tidal current stationary survey |
| 21 | 6.4 Meteorological data 6.4.1 General 6.4.2 Wind data |
| 22 | 6.4.3 Atmospheric pressure 6.5 Wave climate 6.6 Turbulence 6.6.1 General 6.6.2 Flow structure / Eddies |
| 23 | 6.7 Stratification, seawater density and sediment measurement 7 Model development and outputs 7.1 General 7.2 Model coverage, resolution and boundary conditions 7.2.1 Bathymetric data |
| 24 | 7.2.2 Model coverage 7.2.3 Model boundary conditions |
| 25 | 7.2.4 Model resolution 7.3 Choice of model (including characteristics) 7.3.1 General considerations |
| 26 | 7.3.2 Model selection |
| 27 | 7.3.3 Model characteristics 7.4 Analysing data to provide model inputs, calibration and validation 7.4.1 Bathymetry interpolation 7.4.2 Currents 7.4.3 Meteorological analysis |
| 28 | 7.4.4 Waves 7.4.5 Turbulence |
| 29 | 7.4.6 Flow Structures / Eddies |
| 30 | 7.4.7 Seawater density, salinity and temperature 7.4.8 Sediment 7.5 Model calibration / Validation 7.5.1 Model calibration |
| 31 | 7.5.2 Model validation |
| 32 | 7.6 Incorporating energy extraction 7.6.1 General |
| 33 | 7.6.2 Methodology for incorporating energy extraction |
| 34 | 7.6.3 Practical incorporation of energy extraction in modelling |
| 35 | 8 Data analysis and results presentation 8.1 General model result presentation 8.2 Generation of annual velocity distribution 8.2.1 General |
| 36 | 8.2.2 Potential methodologies for simulating “missing” tidal constituents 8.2.3 Long-term model current predictions (harmonic analysis) |
| 38 | 8.2.4 Results presentation Figures Figure 1 – The effect of predicting tides with various constituents from Cook Inlet, Alaska |
| 39 | 8.3 Velocity distribution curves – Joint probability distribution |
| 40 | Figure 2 – Joint velocity and direction probability distribution ,a location in Cook Inlet, Alaska |
| 41 | 9 Reporting of results 9.1 Purpose of reporting 9.2 Contents of the report Figure 3 – Example exceedance curve for velocity magnitude |
| 42 | Annex A (informative) Calculation of TEC Annual Energy Production A.1 General A.2 Individual TEC Annual Energy Production (AEP) |
| 43 | A.3 Array Annual Energy Production |
| 44 | Annex B (informative) Guidelines for current profiler measurements B.1 General B.2 Instrument configuration B.3 Correcting for clock drift |
| 45 | B.4 Depth quality control B.5 Velocity quality control |
| 46 | Bibliography |
