Multistage membrane distillation (MD) systems can have significantly higher efficiencies than their single stage counterparts. However, multistage MD system design has received limited attention. In this paper, the performance of a multistage vacuum membrane distillation (MSVMD) which is thermodynamically similar to a multi-stage flash distillation (MSF) is evaluated for desalination, brine con...

We consider secret-key distillation from tripartite compound classical-quantum-quantum (cqq) sources with free forward public communication under strong security criterion. We design protocols which are universally reliable and secure in this scenario. These are shown to achieve asymptotically optimal rates as long as a certain regularity condition is fulfilled by the the set of its generating ...

1. Global Energy Problems and the Role of Renewables 1.1. Energy demand 1.2. Energy, environmental problems and sustainable development 1.3. Water demand and consumption 1.4. Water and energy 1.5. Desalination and energy 1.6. Renewable energy technologies 2. Solar Collectors 2.1. Parabolic trough collectors 2.2. Fresnel collectors 2.3. Parabolic dish reflector 2.4. Heliostat field collector 3. ...

In this paper we address the topic of energy and water optimization in the production of bioethanol from corn and switchgrass. We show that in order for these manufacturing processes to be attractive, there is a need to go beyond traditional heat integration and water recycling techniques. Thus, we propose a strategy based on mathematical programming techniques to model and optimize the structu...

Modeling distillation is one of those activities that distinguish chemical engineers from their peers. Modeling distillation is something that chemical engineers have been doing continuously (or in batches) for 113 years. Despite predictions of an earlier demise, distillation modeling is not dead. And, while such forecasts have played a role in the lessening of financial support available for d...

−Dividing wall columns, capable of reducing the energy required for the separation of ternary mixtures, were explored for the energy-efficient integration of debutanization and deisobutanization. A new practical approach to the design and optimization of dividing wall columns was used to optimize dividing wall columns. A conventional dividing wall column and a multi-effect prefractionator arran...

Despite significant accuracy improvement in convolutional neural networks (CNN) based object detectors, they often require prohibitive runtimes to process an image for real-time applications. State-of-the-art models often use very deep networks with a large number of floating point operations. Efforts such as model compression learn compact models with fewer number of parameters, but with much ...

We construct new entanglement distillation protocols by interpolating between the recurrence and hashing protocols. This leads to asymptotic two-way distillation protocols, resulting in an improvement of the distillation rate for all mixed Bell diagonal entangled states, even for the ones with very high fidelity. We also present a method how entanglement-assisted distillation protocols can be c...

Distillation is an essential separation process in the chemical and petrochemical industry. The distillation process is a highly nonlinear, complex, interactive and non -stationary, therefore its control is difficult. In the present work an adaptive neuro-fuzzy controller is designed to control a binary distillation process. A conventional PID controller is also designed for comparison purpose....

Distillation is a widely used separation method in the process industries and it is the largest energy consumer among individual process units. Improvement of energy efficiency in distillation systems is still an active research field. Among the issues concerned with the improvement of energy efficiency of distillation systems, the optimal design and synthesis A SHORT Note ABOUT ENERGY-EFFICIEN...