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Integration of 50 % wind power in a

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AbstractiiiAbstractBy 2025, 50 per

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vi4.4. The characteristics of criti

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Nomenclature 1NomenclatureAbbreviat

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Nomenclature 3P t 12,maxPi(e,h)sc t

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Introduction 73. Application of the

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Introduction 9The heat supply will

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12 Pre-study Resultsroughly estimat

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16 Characteristics of the Danish en

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18 Characteristics of the Danish en

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20 Characteristics of the Danish en

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22 Characteristics of the Danish en

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24 Characteristics of the Danish en

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26 Characteristics of the Danish en

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28 Characteristics of the Danish en

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30 Characteristics of the Danish en

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32 The impacts of wind power on pri

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34 The impacts of wind power on pri

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36 The impacts of wind power on pri

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38 The impacts of wind power on pri

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40 The impacts of wind power on pri

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42 The impacts of wind power on pri

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44 The impacts of wind power on pri

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46 The impacts of wind power on pri

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48 Building the Mathematical Models

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50 Building the Mathematical Modelb

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52 Building the Mathematical ModelS

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54 Building the Mathematical ModelT

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56 Building the Mathematical Modeli

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58 Building the Mathematical ModelN

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60 Building the Mathematical ModelE

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62 Building the Mathematical Models

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64 Building the Mathematical ModelR

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66 Building the Mathematical ModelP

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68 Building the Mathematical Modela

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70 Building the Mathematical Model5

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72 Model resultsChapter 6.Model res

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74 Model resultssystem, and is ther

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76 Model results(2017), which is gi

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78 Model resultsHeatprice[€/MWh]5

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80 Model resultspacities and some d

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82 Model resultsBPO50Solution GAB:

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84 Model results1) Heat price-level

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86 Model resultsEl. price, HP.50400

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88 Model resultsDe-centralized heat

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90 Model resultsdue to the unfortun

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92 Model resultsEl. gen.[MWh]500045

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94 Model resultsFigure 6.19 below s

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96 Model resultsOne of the problems

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98 Model resultsEl. gen.[MWh]500045

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100 Model results3 week comparison

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102 Model resultsEl. gen.[MWh]50004

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104 Model results6.3.2. Balancing t

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106 Model resultsunits in the perio

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108 Model resultsHeat production in

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110 Model resultsis furthermore see

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112 Model resultsareas. In low cons

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114 Model resultsWhen analyzing the

- Page 128 and 129: 116 Economic AnalysesChapter 7.Econ
- Page 130 and 131: 118 Economic AnalysesLoad factors (
- Page 132 and 133: 120 Economic AnalysesAnnual Commitm
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- Page 136 and 137: 124 Economic Analyses7.2.4. Total i
- Page 138 and 139: 126 Economic Analysesthe bypass sce
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- Page 142 and 143: 130 Economic Analysescating that he
- Page 144 and 145: 132 Economic AnalysesHeat pump scen
- Page 146 and 147: 134 Economic AnalysesShadow price f
- Page 148 and 149: 136 Economic AnalysesFurthermore, t
- Page 150 and 151: 138 Economic AnalysesShadowBPO, win
- Page 152 and 153: 140 Economic Analysesthe amount of
- Page 154 and 155: 142 Economic Analysescosts to the i
- Page 156 and 157: 144 Economic Analysesincreased amou
- Page 158 and 159: 146 Economic AnalysesWindCoalGasHyd
- Page 160 and 161: 148 Economic Analysesis a very larg
- Page 162 and 163: 150 Economic Analysesgreater sensit
- Page 164 and 165: 152 DiscussionChapter 8.Discussion8
- Page 166 and 167: 154 Discussionity according to 2017
- Page 168 and 169: 156 Discussion8.3.1. Turbine bypass
- Page 170 and 171: 158 Discussion8.3.2. Heat pumpsThe
- Page 172 and 173: 160 Discussionpotential. The model
- Page 174 and 175: 162 Discussion8.4.3. The importance
- Page 176 and 177: 164 ConclusionChapter 9.ConclusionB
- Page 180 and 181: 168 BibliographyChapter 10.Bibliogr
- Page 182 and 183: 170 BibliographyPetrov, Valentín &
- Page 184 and 185: 172 AppendixChapter 11.Appendix11.1
- Page 186 and 187: 174 Appendix11.2. How much of the h
- Page 188 and 189: 176 AppendixThe key task then is to
- Page 190 and 191: 178 Appendixtion given by the gap b
- Page 192 and 193: 180 Appendix11.5. The formulated GA
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- Page 196 and 197: 184 Appendix11.5.2. Code for the fo
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