GOBF-ARMA based model predictive control for an ideal reactive distillation column.

This paper discusses the control of an ideal reactive distillation column (RDC) using model predictive control (MPC) based on a combination of deterministic generalized orthonormal basis filter (GOBF) and stochastic autoregressive moving average (ARMA) models. Reactive distillation (RD) integrates reaction and distillation in a single process resulting in process and energy integration promoting green chemistry principles. Improved selectivity of products, increased conversion, better utilization and control of reaction heat, scope for difficult separations and the avoidance of azeotropes are some of the advantages that reactive distillation offers over conventional technique of distillation column after reactor.

Energy efficient model based algorithm for control of building HVAC systems.

Energy efficient designs are receiving increasing attention in various fields of engineering. Heating ventilation and air conditioning (HVAC) control system designs involve improved energy usage with an acceptable relaxation in thermal comfort. In this paper, real time data from a building HVAC system provided by BuildingLAB is considered.

Investigation of energy recovery from poultry litter and municipal solid waste by thermochemical conversion method in India.

The waste disposal is becoming a major threat to environmental issues and to sustainable development of mankind. The rapid growth in population and enormous developmental activities are the main causes for the generation of waste in many forms. Hence there is need to redress the concern on environment and efforts to be made for effective collection and disposal of wastes.

Non-01 Vibrio cholerae septicemia and meningitis in a neonate.

Non-O1 Vibrio cholerae is known to cause diarrhoea as well as extra-intestinal infections in adults and children. However meningitis in children is a rare occurrence. We report a neonate who developed septicemia and meningitis due to Non-O1 Vibrio cholerae.