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A framework for joint management of regional water-energy ... - Orbit

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Figure 2. Mean annual irrigation requirements (source: Wriedt et al., 2009).<br />

<strong>energy</strong> units, using an aggregation methodology briefly described in Section<br />

4.1 and detailed in Pereira-Cardenal et al. I.<br />

In the optimization methods used to couple the <strong>water</strong> and <strong>energy</strong> systems,<br />

irrigation allocation was considered as a constraint that must be satisfied (Pereira-Cardenal<br />

et al. I), or as a decision variable that is adjusted to achieve<br />

maximum benefits (Pereira Cardenal et al. II, III). In the second case, an irrigation<br />

demand function must be used in order to determine optimal <strong>water</strong><br />

allocation.<br />

Two demand functions were used based on the spatial scale <strong>of</strong> the problem<br />

and data availability. In Pereira-Cardenal et al. II, which considers irrigation<br />

aggregated at the peninsula level, net benefits and allocation distribution<br />

among crops in Spain (MMA, 2007) were used to construct the demand function<br />

shown in Table 2. In Pereira-Cardenal et al. III, which considers irrigation<br />

aggregated at the river basin level, data on annual <strong>water</strong> allocations <strong>for</strong><br />

ranges <strong>of</strong> net benefits in each river basin in Spain (MMA, 2007) were used to<br />

define irrigation users as follows (Table 3). A constant willingness to pay <strong>for</strong><br />

<strong>water</strong> was assumed <strong>for</strong> all <strong>water</strong> allocations, and the net benefits were used as<br />

a proxy <strong>for</strong> marginal benefits. The annual values were also distributed in proportion<br />

to monthly observations in the Ebro Basin, and converted to <strong>energy</strong><br />

units.<br />

13

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