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The relevance of energy storages for an autarky of electricity supply ...

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2 Description <strong>of</strong> method <strong>of</strong> approach applied<br />

<strong>The</strong> applied method <strong>for</strong> this Master <strong>The</strong>sis c<strong>an</strong> be described in five steps, as follows.<br />

1. Criteria <strong>for</strong> assessment <strong>of</strong> storage technologies<br />

At the beginning, several criteria are raised which are commonly used to assess<br />

different storage technologies.<br />

2. Description <strong>an</strong>d assessment <strong>of</strong> storage technologies<br />

In the second step, the storage technologies (Pumped Hydroelectric Storage,<br />

Compressed Air Energy Storage, Hydrogen Storage) are compared, using criteria<br />

raised (see chapter 4.2 Evaluation Criteria).<br />

3. Comparison Dem<strong>an</strong>d Side/Supply Side<br />

Dem<strong>an</strong>d side<br />

In the third step, load curves <strong>for</strong> the const<strong>an</strong>t <strong>an</strong>d the Growth scenario <strong>for</strong> the<br />

<strong>electricity</strong> dem<strong>an</strong>d in 2050 are calculated. For this calculation e-control data <strong>for</strong><br />

the year 2010 are used <strong>an</strong>d allocated to 2050 values from the feasibility study<br />

Energie Autarkie 2050. <strong>The</strong> result is <strong>an</strong>nual, monthly, <strong>an</strong>d daily data on<br />

<strong>electricity</strong> dem<strong>an</strong>d <strong>for</strong> 2050 <strong>an</strong>d corresponding load curves.<br />

Supply Side<br />

<strong>The</strong> feasibility study Energie Autarkie 2050 provides <strong>an</strong>nual <strong>an</strong>d monthly values<br />

<strong>of</strong> the <strong>electricity</strong> mix <strong>for</strong> both scenarios, Const<strong>an</strong>t <strong>an</strong>d Growth. <strong>The</strong>se values are<br />

insufficient <strong>for</strong> comparison <strong>of</strong> dem<strong>an</strong>d <strong>an</strong>d <strong>supply</strong> on a daily basis. <strong>The</strong>re<strong>for</strong>e,<br />

daily data are based on average values, except the <strong>electricity</strong> <strong>for</strong> photovoltaic.<br />

As <strong>electricity</strong> <strong>supply</strong> from photovoltaic varies between summer <strong>an</strong>d winter as<br />

well as during day <strong>an</strong>d night, it is necessary to calculate the precise curves <strong>of</strong><br />

<strong>electricity</strong> production from this <strong>energy</strong> carrier as it has a high impact on the<br />

storage dem<strong>an</strong>d during the course <strong>of</strong> a year <strong>an</strong>d <strong>of</strong> a day. Due to the fact that no<br />

detailed daily <strong>electricity</strong> <strong>supply</strong> curves <strong>for</strong> photovoltaic are provided by the<br />

feasibility study, these values have to be calculated by the author within the<br />

7

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