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To: Lanya Ross, Anneka LaBelle, Ali Elhassan <br />From: Evan Christianson, Ray Wuolo <br />Subject: Metro Pumping Optimization 3 <br />Date: April 2, 2015 <br />Page: 8 <br />Table 3. Comparison of results from Optimization 1, 2, and 3. <br />Optimization <br />Total optimized pumping (MGD) <br />1 <br />743 <br />2 <br />368 <br />3 <br />374 <br />Further analysis of the optimized pumping is beyond the scope of this project but it is our understanding <br />that it will be completed by the Metropolitan Council. However, we have tried to provide the <br />Metropolitan Council with some insight, based on what we learned during the optimization process and a <br />cursory inspection of the results. A discussion is provided in Section 4.0 below. <br />3.2 Binding constraints and shadow prices <br />While 5,237 constraints were imposed for the optimization, only a subset actually controls the formulation <br />of an optimal solution. These constraints are said to "bind" the solution because they prevent decision <br />variables (well pumping) from taking values that would further improve the optimization. Each binding <br />constraint has a "shadow price" which reflects how sensitive the optimization is to the constraint. For <br />additional discussion of binding constraints and shadow prices the reader is referred to Ahlfeld et al. <br />(2005) pg. 51. Binding constraints and associated shadow prices calculated by GWM-VI during the last <br />iteration of the optimization are presented in Attachment A. A total of 184 (out of 5,237 total) constraints <br />were found to be binding. Overall, baseflow constraints (trout and other streams) were the most sensitive, <br />constituting 12 of the top 30 constraints with the largest shadow price. Change in flux on the township <br />and range scale constituted 9 of the top 30 constraints with the largest shadow price. Table A2 <br />summarizes binding constraints by constraint type. Figure 3 shows the spatial distribution of binding <br />constraints. <br />4.0 Discussion <br />Analysis of the optimization results are not part of the scope of this project and it is our understanding <br />that such analysis is planned to be completed by Metropolitan Council staff. However, the following <br />observations were noted during this project and may warrant further review, discussion, or follow-up <br />optimization. <br />1.) Optimization 1 showed large increases in pumping sustained by induced leakage from River <br />Package boundary cells. Significantly increasing the constraints imposed on River Boundary cells <br />for Optimization 2 greatly reduced these issues, and hence reduced the total optimized pumping <br />volumes. Optimization 3 imposed strictor constraints regarding safe yield (50% available head vs. <br />