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renewable energy in zaanstad: from theory to practice - e-harbours

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ecause of environmental and social reasons. By learn<strong>in</strong>g <strong>from</strong> this Smart Grid pilot project Zaanstad<br />

can ga<strong>in</strong> knowledge <strong>to</strong> develop the electric <strong>in</strong>frastructure necessary <strong>to</strong> support the plans for<br />

<strong>renewable</strong> <strong>energy</strong> by 2020. This way Zaanstad can develop a bus<strong>in</strong>ess case for the possible roll-out of<br />

a Smart Grid over the municipal organization. The components on the production side consist of:<br />

I. 10 kWp of PV cells at location ‘Fietsenpakhuis’<br />

II. 10.2 kWp of PV cells at location ‘Van Serooskerkelaan’<br />

III. 10.2 kWp of PV cells at location ‘Havengebouw’<br />

IV. A w<strong>in</strong>d turb<strong>in</strong>e simulation model 5<br />

The consumers are the 16 electric vehicles of the municipal organization. Figure 15 shows a<br />

schematic overview of the REloadIT project.<br />

Figure 15. Schematic overview of the REloadIT concept<br />

The objective is <strong>to</strong> charge the electric vehicles by solar and w<strong>in</strong>d <strong>energy</strong> and do this <strong>in</strong> a smart way by<br />

us<strong>in</strong>g <strong>in</strong>formation and communication hard- and software. To achieve, the production and the<br />

consumption need <strong>to</strong> be forecasted <strong>in</strong> a detailed and accurate way. To forecast this consumption, an<br />

accurate plann<strong>in</strong>g of the electric vehicles usage by the municipal employees needs <strong>to</strong> be available.<br />

On the production side, a meteo forecaster will be <strong>in</strong>stalled <strong>to</strong> forecast the PV production as detailed<br />

as possible. The Smart Grid software will use both forecast<strong>in</strong>g data <strong>to</strong> calculate ahead if supply and<br />

demand can be matched. If there will be an underproduction, the Smart Grid data center will use a<br />

virtual electricity market <strong>to</strong> suggest optimal f<strong>in</strong>ancial decisions. This means, sell<strong>in</strong>g surplus electricity<br />

when the electricity prices are high, and buy<strong>in</strong>g shortage on electricity when the prices are low. The<br />

5 There are no w<strong>in</strong>d turb<strong>in</strong>es <strong>in</strong>stalled <strong>in</strong> the context of the REloadIT project yet, so this will be simulate.<br />

26

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