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

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with the highest price, which can only be avoided through the inclusion <strong>of</strong><br />

additional constraints. In contrast, including a simple representation <strong>of</strong> the<br />

power market into a hydro-economic model resulted in more realistic<br />

reservoir operation policies that adapted to changing inflow conditions.<br />

The effects <strong>of</strong> spatial aggregation on the analysis <strong>of</strong> <strong>water</strong>-power systems<br />

were evaluated by comparing results from an aggregated and a partially<br />

disaggregated model. The aggregated model, where all reservoirs were<br />

represented as a single equivalent <strong>energy</strong> reservoir, provided valuable<br />

insights into the <strong>management</strong> <strong>of</strong> <strong>water</strong> and power systems, but only at the<br />

Peninsula scale. The disaggregated model revealed that optimal allocations<br />

were achieved by managing <strong>water</strong> resources differently in each river basin<br />

according to local inflow, storage capacity, hydropower productivity, and<br />

irrigation demand and productivity. This highlights the importance <strong>of</strong><br />

considering spatial differences in this type <strong>of</strong> analysis.<br />

The method was successfully used to assess linkages between the <strong>water</strong> and<br />

the power systems <strong>of</strong> the Iberian Peninsula. The <strong>framework</strong> is flexible and<br />

can potentially be used to model more aspects <strong>of</strong> the <strong>water</strong>-<strong>energy</strong> nexus, <strong>for</strong><br />

instance: the <strong>energy</strong> requirements <strong>of</strong> the transport sector and the impact <strong>of</strong><br />

bi<strong>of</strong>uels on agriculture; the impact <strong>of</strong> reduced river discharge on cooling <strong>of</strong><br />

thermal power plants; or the impact <strong>of</strong> carbon capture and storage on <strong>water</strong><br />

resources. The increasing pressure <strong>of</strong> population growth, rising living<br />

standards, and climate change on <strong>water</strong>, <strong>energy</strong>, land, and climate systems<br />

will increase the need <strong>for</strong> integrated methods and models to assess the<br />

linkages between these systems. The methodological <strong>framework</strong> proposed<br />

here is a step <strong>for</strong>ward in the development <strong>of</strong> these integrated tools.<br />

v

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