The advancement in power systems has led to the development of generation dispatch (GD) that is difficult to solve by classical optimisation method. The proposed paper work is to evolve simple and effective method for optimum generation dispatch to minimise the fuel cost, environmental cost and security requirement of power networks. The approach is based on the bi-criterion global optimisation...

In this paper two new Mixed-integer linear programming models for fuel based vehicle routing problem are introduced. By considering the refueling accessibility in customer nodes, these models are formulated as a Fossil Fuel Capacitated Vehicle Routing Problem with Time Windows and the Green Bi-fuel VRPTW. A fuel delivery routing problem is a real world application of these models. Environmental...

A 5-kW multilevel modular capacitor-clamped dc–dc converter (MMCCC) with bi-directional power management and real-time fault bypassing capability will be presented in this study. The modular structure of the MMCCC topology was utilised to build this 5-kW converter with necessary redundancy and hot swap feature for industrial and automotive applications including a future plug-in hybrid or fuel-...

In this study, statistical models were developed to forecast truck VMT growth of four facility categories at the county and statewide levels. These models incorporate both socioeconomic and transportation system supply variables. Different model specifications were tested and evaluated in terms of statistical and forecasting validity. A selected set of models was used to forecast truck VMT for ...

In this paper we study a long-haul truck scheduling problem where path has to be determined for vehicle traveling from specified origin destination. We consider refueling decisions along the path, while accounting heterogeneous fuel prices in road network. Furthermore, comply with Hours of Service (HoS) regulations. Therefore, is defined by actual trajectory traveled vehicle, as well locations ...

The density, size, and location of stores in a retailer's network influences both the retailer's and the consumers' costs. With stores few and far between, consumers must travel a long distance to shop, whereas shopping trips are shorter with a dense network of stores. The layout of the retail supply chain is of interest to retailers who have emission reduction targets and urban planners concer...

Truck platooning is a recent solution proposed to optimise road transportation. Platooning can help improve transport efficiency and safety, reduce traffic congestion, fuel consumption greenhouse gases emissions. Considering that truck platoon configurations are new, studying their impact on pavement response damage crucial. In this context, study presents the results obtained in full-scale exp...

Truck platooning has been identified as an emerging and promising operational technology with the advantages of fuel consumption savings carbon emissions reductions. We formulate truck routing optimization problem a multi-commodity network flow from transportation scheduling perspective. Based on generated through reduction aerodynamic drag by formation platooning, route each is also set to be ...

Fuel consumption reduction is one of the main challenges in the automotive industry due to its economical and environmental impacts as well as legal regulations. While fuel consumption reduction is important for all vehicles, it has larger benefits for commercial ones due to their long operational times and much higher fuel consumption. Optimal control of multiple energy buffers within the vehi...