Mott MacDonald

About: Mott MacDonald is a company organization based out in London, United Kingdom. It is known for research contribution in the topics: Electric power system & Wind power. The organization has 586 authors who have published 529 publications receiving 9801 citations. The organization is also known as: Mott MacDonald Group & MMD.

Geometric models of lophophore shape and arrangement in extinct modular organisms: an addendum

Abstract: Geometric models for the reconstuction of soft-tissue lophophore shape and arrangement have been designed for extinct fenestrate bryozoans (Starcher and McGhee, 2000) and for extinct fenestrate graptolites (Starcher and McGhee, 2003). We wish to add the material given in the following three tables as an addendum to our paper in the March 2003 issue of the Journal of Paleontology. These tables will enable other researchers to characterize quickly and quantitatively the geometry of lophophore shapes and arrangements in the colonial meshworks of extinct organisms, and will add quantitative measures of soft-tissue characteristics of extinct modular organisms to the already existing morphometric characterizations of hard-tissue skeletal aspects of colonial meshworks (Hageman, 1991; Holdener, 1994; Hageman et al., 1998 …

Wind integration in small scale islanded power systems

Abstract: Islanded power systems seeking the introduction of wind power production to the generation mix are particularly vulnerable to this process. It becomes critical to understand in this context what the impacting factors are that should be considered for determining the sustainable wind penetration levels. Due to the different dynamic characteristics of the wind conversion technology the methods used for determining the threshold for single wind generation blocks' power output have to be tuned differently than in the case of conventional generators. A practical approach to determining the constraints to wind generation blocks' output is described here which takes into account the basic power system dynamic security criteria. The results of applying this approach to a realistic test system are discussed highlighting the impact that spinning reserve allocation may have on the determination of thresholds for wind generation output. Seasonal load demand scenarios are considered for the test system.

Medway tunnel detailed design

Abstract: The Tarmac HBM Joint Venture is currently constructing an immersed tube tunnel for Kent County Council across the River Medway adjacent to the Chatham Maritime development in North Kent. The dual two lane tunnel is the central part of the Medway Towns Northern Relief Road, which will provide a much needed alternative route to the congested A2 between Rochester and Strood and will improve access to commercial and industrial developments in the area.

Neural Network Analysis of Passing Ship Forces and Moments in Confined Channels

Abstract: A passing ship induces surge and sway forces and yaw moments on moored ships. Breakouts of moored ships can result in personnel injuries and deaths, ship and shore facility damage, and pollution. In a confined channel, the passing-ship phenomenon involves six interrelated parameters, describing ship sizes and drafts, separation from sidewall or bank, separation between ships, and channel width. It is virtually impossible to develop an interrelated set of equations that can be used in a mooring analysis which adequately accounts for all of these parameters. Hydrodynamic computer programs, which take time and expense, are sometimes be used to calculate surge, sway and yaw for use as input to a mooring analysis. An artificial neural network model has now been developed to calculate surge and sway forces and yaw moments. It will be used in a computer program. This paper presents examples of data produced by that model which show the relationships of ship sizes, depth-to-draft ratios, wall separation, ship separation, and channel width to surge, sway and yaw. This information will be of interest to mooring designers and others concerned about the passing ship problem. This paper describes how the six-parameter neural network model was developed. It will be of interest to those wanting to model other complex multiparameter problems.