Muhammad Tajammal Munir

Bio: Muhammad Tajammal Munir is an academic researcher from American University of the Middle East. The author has contributed to research in topics: Process control & Exergy. The author has an hindex of 14, co-authored 50 publications receiving 609 citations. Previous affiliations of Muhammad Tajammal Munir include American University & University of Auckland.

Plasma gasification of municipal solid waste for waste-to-value processing

Abstract: Plasma gasification can be a viable technology for converting municipal solid waste (MSW) into value for the circular economy. However, in its current state, plasma gasification is mostly limited to lab or pilot scales as there are various challenges associated with it; there exist knowledge gaps which need attention and research for its successful future commercialisation. The present study critically reviewed the current status of plasma gasification for waste-to-value processing. Various traditional techniques for MSW disposal and processing available in the literature were discussed and were compared with plasma gasification in terms of cost, service life, energy comparison, and environmental impact comparison. After the review, knowledge gaps were identified, challenges associated with the plasma gasification technology were discussed, and a possible roadmap for the successful future commercialisation of plasma gasification for waste-to-value processing was suggested. Furthermore, various strategies to cope with challenges associated with plasma gasification were discussed. The successful commercialisation of plasma gasification can be achieved by reducing its costs by generating revenue or value in the form of synthesis gas or fuels from MSW, energy can be saved or reused using insulation, process integration, and process intensification, the technology and community readiness levels can be improved with better communication between relevant stakeholders and adding extra layers of safety, and process understanding can be improved by conducting extensive fundamental studies, as well as plasma gasification technology being standardised by establishing standards and standards organisations.

Fast parallel algorithms for short-range molecular dynamics

Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

Perturbation Analysis Of Optimization Problems

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