We present a computational module for interactively visualizing, large-scale, 3D un-structured meshes. Scientists and engineers routinely solve large-scale computational boundary value problems on unstructured grids. These grids typically range from several hundred thousand elements to millions of elements. With this ability to solve such large-scale problems comes the challenge of viewing the ...

In recent decade, with advancements in telecommunications and information management systems technology and the increasing requirements of various sectors of the power industry for monitoring and controlling all of the network components (from production to consumption) power companies feel necessary to add intelligence to their grid as a scientific and practical solution to the utility industr...

Decentralized energy production is meant to reduce generation and distribution inefficiencies, leading to major economic and environmental benefits. This new model is meant to be supported by smart grids, electricity networks that can intelligently integrate the actions of all users connected to them —generators, consumers, and prosumers (those that do both)— to efficiently deliver sustainable,...

For reliability-based topology optimization (RBTO) of double layer grids, a two-stage optimization method is presented by applying “Solid Isotropic Material with Penalization” and “Ant Colony Optimization” (SIMP-ACO method). To achieve this aim, first, the structural stiffness is maximized using SIMP. Then, the characteristics of the obtained topology are used to enhance ACO through six modific...

The advent of Cloud computing as a newmodel of service provisioning in distributed systems encourages researchers to investigate its benefits and drawbacks on executing scientific applications such as workflows. One of the most challenging problems in Clouds is workflow scheduling, i.e., the problem of satisfying the QoS requirements of the user as well as minimizing the cost of workflow execut...

Utility grid environments o er programmatic access to information technology (IT) resources for applications. There is a substantial literature regarding admission control, resource reservation, and scheduling in support of engineering and scienti c jobs for grids. Typically each job is associated with a duration and peak requirements for resources. In this paper we focus on techniques to suppo...

With the growth of Utility Grids and various Grid market infrastructures, the need for efficient and cost effective scheduling algorithms is also increasing rapidly, particularly in the area of meta-scheduling. In these environments, users not only may have conflicting requirements with other users, but also they have to manage the trade-off between time and cost such that their applications ca...

Recently, electric vehicles (EVs) have proven remarkable impacts on reducing pollution and their suitability for utilizing renewable energy sources (RESs) instead of fossil fuels. The continuously increasing number installed EVs has encouraged employment performing additional functionalities in utility grids. This paper provides study the EV integration approaches enhancing operation proposed c...

Smart grids have brought new possibilities in power grid operations for control and monitoring. For this purpose, state estimation is considered as one of the effective techniques monitoring analysis smart grids. State uses a processing algorithm based on data from meters. The major challenge to take into account large volume measurement data. In article, novel distribution network has been pro...

DFID Using AMCs to promote green mini-grids in Tanzania ii Executive Summary This annex considers how Advance Market Commitments (AMCs) might be used to promote the development of green mini-grids in Tanzania. It is one of two case studies Vivid Economics has undertaken to complement its report on the economics of AMCs. The second case study concerns the development of micro-Concentrated Solar ...