Conversion of plastic wastes to alternative fuel using G2F system

The present decade saying ban plastic is much worried about the water scarcity. It’s being revealed banning plastic bring more water scarcity as the alternative goods to plastic are more water consuming in its production. Water, air and land being the primary requirement for life should be preserved in every product invention and technological innovation. The present study proposes a suitable technology that saves all the required land resources. The so far used plastics are said to be dump threat to land resources and micro lives in it. The existence of plastic ban is a profound threat to water. Air is being polluted every day due to the exhaust of fuel and heaps of land fill. An alternative to plastics might be good invention but to recycle the already existing plastics are the real solutions to the plastics. Plastics are typically organic polymers of high molecular mass and often contain other substances. They are usually synthetic, most commonly derived from petrochemicals. However an array of variants are made from renewable materials such as polylactic acid from corn or cellulosic from cotton linters. Having a strong chemical bond that makes them degrade very slowly, which creates environmental issues and makes the soil unfit for vegetation. Conversion of plastic into alternative fuel may require high investment in terms of energy. The present project addresses the minimal energy (cost effective) to convert plastic wastes and sources to convert into crude and purified fuel resources. The results revealed that 600-800ml of crude oil can be obtained from one kilogram of one time disposable plastics through paralysis in 15 minutes. During the conversion 10% per Kg methane is also produced as by product.

Minimal energy cost of entanglement extraction

We compute the minimal energy cost for extracting entanglement from the ground state of a bosonic or fermionic quadratic system. Specifically, we find the minimal energy increase in the system resulting from replacing an entangled pair of modes, sharing entanglement entropy ΔS, by a product state, and we show how to construct modes achieving this minimal energy cost. Thus, we obtain a protocol independent lower bound on the extraction of pure state entanglement from quadratic systems. Due to their generality, our results apply to a large range of physical systems, as we discuss with examples.

Scheduling of a Single Flow Shop for Minimal Energy Cost Under Real-Time Electricity Pricing

A time-indexed integer programing approach is developed to optimize the manufacturing schedule of a factory for minimal energy cost under real-time pricing (RTP) of electricity. The approach is demonstrated using a flow shop operating during different time periods (i.e., day shift, swing shift, and night shift) in a microgrid, which also serves residential and commercial users. Results show that electricity cost can be reduced by 6.2%, 12.3%, and 21.5% for the three time periods considered, respectively. Additionally, a 6.3% cost reduction can be achieved by the residential and commercial buildings through adopting energy-conscious control strategies in this specific case study example.