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Show TABLE 5.3 Parameter Values for Lower Bear River Applications RESERVOIR Parameter 1 2 3 4 5 6 7 cls ($/ Ac- ft) 9.868 205.735 4004.64 33.458 99401.975 2440.000 83.961 c 2s 1.000 .784 .5066 1.000 .286 .531 .762 c3s ( M$/ MW) .0773 .1233 .0703 .2137 1.233 .0636 c4s 1.000 1.000 1.000 .3092 1.000 1.000 c5s ( ft/ Ac- ft) .3043 .018 4.017 1.6832 .0088 .2591 .0287 c6s .5654 .6234 .3757 .4563 .7242 .4672 .5381 c7s ( Acre/ Ac- ft) 1.051 22.865 .529 .7438 23.305 17.067 95.672 c8s .6221 .5075 .6534 .6107 .4459 .4613 .4251 cp = 0.0014 c, e = 730.00 Result Interpretation: Table 5.5 presents some of the statistics generated. Of interest is the observation that each reservoir has positive net benefits, with respect to each purpose it is operated for. Of particular interest in this case, is that the total storage capacity for Oneida is at its upper bound, while that for Amalga is well within its bounds. Oneida is operated principally as a hydropower reservoir, and has a significant firm annual release for hydropower. No firm annual hydro release is provided for Amalga, and it has a correspondingly smaller size for the generator. Amalga supplies M& I and Irrigation demands to economically optimal levels at the current price associated with these demands ($ 75 and $ 50 per Acre- ft. respectively). In both cases a small contribution towards benefits is provided from recreation. It appears that Amalga is developed to its economical optimum while the development of Oneida is constrained by the upper bound on its storage capacity. It should also be noted that this particular application does not consider the need to supply the existing water rights of the Bear River Canals downstream of Amalga. Once, these are considered, ( in the application with all 7 reservoirs), the economically optimal sizes of Oneida and Amalga and the releases from them change. The application demonstrates that the model is effective in determining the sizes and yields from a set of candidate reservoirs in series. Parametric applications varying the bounds on the decision variables and the benefits/ costs can also be performed to establish development scenarios. 129 |