Numerical optimization methods offer a powerful new technology for pump users when combined with pumping system analysis software. Whether the design goal is to reduce first costs or life-cycle costs, this technology promises to significantly reduce pumping system costs and energy usage. Optimization methods work by automatically selecting pipe and pump sizes to minimize cost. Design engineers ...

Numerical optimization methods offer a powerful new technology for pump users when combined with pumping system analysis software. Whether the design goal is to reduce first costs or life-cycle costs, this technology promises to significantly reduce pumping system costs and energy usage. Optimization methods work by automatically selecting pipe and pump sizes to minimize cost. Design engineers ...

The aim of this study is to find the optimal water pressure and percentage of supply vapour in the feed water heaters (fwhs) of steam power plants, such that they maximize the thermal efficiency of the Rankine cycle within pre-specified values of minimum and maximum pressures of the thermodynamic cycle. Thermal efficiency is defined as a function of unknown variables (fluid pressure and vap...

We analyze life-cycle savings decisions when households use simple heuristics, or rules of thumb, rather than solve the underlying intertemporal optimization problem. The decision rules we explore are a simple Keynesian rule where consumption follows income; a simple consumption rule where only a fraction of positive income shocks is saved; a rule that corresponds to the permanent income hypoth...

The novel Hessian-based pruning (HBP) technique to optimize the feed-forward (FF) neural network (NN) configuration in a dynamic manner is proposed. It is then used to optimize the extant NNC (Neural Network Controller) as the verification exercise. The NNC is designed for dynamic buffer tuning to eliminate buffer overflow at the user/server level. The HBP optimization process is also dynamic a...

This paper deals with a multi-objective optimization of a novel micro solar driven combined power and ejector refrigeration system (CPER). The system combines an organic Rankine cycle (ORC) with an ejector refrigeration cycle to generate electricity and cold capacity simultaneously. Major thermodynamic parameters, namely turbine inlet temperature, turbine inlet pressure, turbine back pressure, ...

Battery technology is the key bottleneck in many cyberphysical systems (CPS). For green-energy CPS transportation applications, such as hybrid electrical vehicles (HEVs) and plug-in HEVs (PHEVs), the battery system design is mostly based on lithium-ion rechargeable electrochemical battery technology, which is bulky, expensive, unreliable, and is the primary roadblock for PHEV adoption and marke...

Battery technology is the key bottleneck in many cyberphysical systems (CPS). For green-energy CPS transportation applications, such as hybrid electrical vehicles (HEVs) and plug-in HEVs (PHEVs), the battery system design is mostly based on lithium-ion rechargeable electrochemical battery technology, which is bulky, expensive, unreliable, and is the primary roadblock for PHEV adoption and marke...