Abstract: A non-linear power equation may be solved in linear form by locking one or more variables and iteratively solving to accurately and quickly estimate optimized power solutions for hydroelectric power stations. Additionally, these iterative calculations may provide for long term water resource planning and more accurate estimation models. Further, such optimized power solutions may be usable to create accurate and timely water management models for the operation and planning of hydroelectric power stations.

Abstract: Operation of a hydropower generation facility may be optimized by consideration and analysis of multiple factors influencing function of the facility. Aspects of the facility and surrounding hydraulic system are represented in a model that may include efficiency curves for hydropower turbines. Efficiency curves for one or more turbines are approximated by piecewise linear functions. The use of piecewise linear representations allows for calculation of recommended operational settings as well as predicted outputs in real time. An optimization system may consider input data such as weather and market prices for electricity. The input data may also include desired operational outputs of the hydropower generation facility. A user interface may present recommendations for specific operational settings to achieve the desired operational outputs.

Abstract: A non-linear power equation may be solved in linear form by locking a variable or variables and iteratively solving to provide a Web service for accurately and quickly estimating optimized power solutions for hydroelectric power stations. Additionally, these iterative calculations may provide for long term water resource planning and more accurate estimation models. Further, such optimized power solutions may be usable to create accurate and timely water management models for the operation and planning of hydroelectric power stations.

Abstract: Operation of a hydropower generation facility may be optimized by consideration and analysis of multiple factors influencing function of the facility. Aspects of the facility and surrounding hydraulic system are represented in a model that may include efficiency curves for hydropower turbines. Efficiency curves for one or more turbines are approximated by piecewise linear functions. The use of piecewise linear representations allows for calculation of recommended operational settings as well as predicted outputs in real time. An optimization system may consider input data such as weather and market prices for electricity. The input data may also include desired operational outputs of the hydropower generation facility. A user interface may present recommendations for specific operational settings to achieve the desired operational outputs.

Abstract: A non-linear power equation may be solved in linear form by locking one or more variables and iteratively solving to accurately and quickly estimate optimized power solutions for hydroelectric power stations. Additionally, these iterative calculations may provide for long term water resource planning and more accurate estimation models. Further, such optimized power solutions may be usable to create accurate and timely water management models for the operation and planning of hydroelectric power stations.

Abstract: A non-linear power equation may be solved in linear form by locking a variable or variables and iteratively solving to provide a Web service for accurately and quickly estimating optimized power solutions for hydroelectric power stations. Additionally, these iterative calculations may provide for long term water resource planning and more accurate estimation models. Further, such optimized power solutions may be usable to create accurate and timely water management models for the operation and planning of hydroelectric power stations.

Abstract: An electronic type substrate having 40 to 97 weight-percent polymer and 3 to 60 weight-percent auto-catalytic crystalline filler. An interconnect or a conductor trace is created in the substrate by: i. drilling or ablating with a high energy electromagnetic source, such as a laser, thereby selectively activating the multi cation crystal filler along the surface created by the drilling or ablating step; and ii. metalizing by electroless and/or electrolytic plating into the drilled or ablated portion of the substrate, where the metal layer is formed in a contacting relationship with the activated multi cation crystal filler at the interconnect boundary without a need for a separate metallization seed layer or pre-dip.