The Kerman Photovoltaic Power Plant is unique, not in the particular photovoltaic equipment selected, but in the siting of the plant in relation to the electric power system and how the plant interacts with that system. Kerman is the world’s first plant designed and built specifically to measure the benefits of a photovoltaic system to the local distribution grid. In addition to the traditional...

Nuclear power plant simulation has traditionally focused on plantspecific Full Scope Simulators (FSS) with the primary objective being licensed operator training. The initial development and delivery of the vast majority of the FSSs have taken place either late in the plant construction cycle or following commercial operation. The development of an FSS has typically taken two to three years wit...

Parabolic trough solar technology is the most proven and lowest cost large-scale solar power technology available today, primarily because of the nine large commercial-scale solar power plants that are operating in the California Mojave Desert. However, no new plants have been built during the past ten years because the cost of power from these plants is more expensive than power from conventio...

In cooperation with Rolls-Royce and Lund University, a combined cycle power plant was modelled, simulated and optimised in the new software framework, the GTPOM tool, developed through the recent EC FP5 programme. The goal was not only to calibrate its component models but also to show how this new tool can be used. This paper presents the gas turbine and combined cycle whole plant modelling an...

Background: An Australian company called Lynas Corporation is building the world’s largest rare earth extraction plant at Gebeng near the city of Kuantan in Malaysia. This project is very controversial in Malaysia because of fears about possible negative health, environmental and economic impacts once the plant begins operation. Methods: Material was gathered through mass media reports, officia...

NoTeS project is developing a generic toolset for spatio-temporal forecasting and forecast uncertainty analysis through analyzing five widely different test cases: forecasting energy consumption, diagnosing quality variations at a pulp mill, estimating and controlling paper quality on the basis scanning sensors, supporting operational decisions at nuclear power plant, and segmenting medical ima...