Mathematical modelling in biology and ecology : proceedings of a symposium held at the CSIR, Pretoria, July 1979
Author(s)
Bibliographic Information
Mathematical modelling in biology and ecology : proceedings of a symposium held at the CSIR, Pretoria, July 1979
（Lecture notes in biomathematics, 33）
Springer-Verlag, 1980
- us
- gw
Available at 49 libraries
Note
"Organized by the National Research Institute for Mathematical Sciences of the CSIR" and others
Includes bibliographical references
Description and Table of Contents
- Volume
-
us ISBN 9780387097350
Description
Sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources - are the subject of this new innovative book. The myriad factors involved in modeling an effective sustainable power system are overwhelming. The "Green Islands" project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT). Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available. The energy contingencies of the remote islands are not unique. The issues of integrating promising clean technologies, such as wind, into a complex power grid are challenging in geographically far-flung, island-scale, power systems.
Model-based sensing, communications, and decision-making algorithms to coordinate adaptive load management (ALM) could enable customers to utilize just-in-time (JIT), just-in-place (JIP), and just-in-context (JIC) energy resources. The distribution of flexible and efficient energy to customers is the goal. The model the authors have developed could change the way power portfolios are built. A new perspective for optimization of green energy is presented in this book. Additional data provided online via Springer represents a repository of real-world electric energy systems and its IT-enabled smarts.
Table of Contents
The Case for Engineering Next-Generation IT-Enabled Electricity Services at Value.- The Tale of Two Green Islands in the Azores Archipelago.- Electrical Networks of the Azores Archipelago.- Generation and Demand Characteristics of the Islands of Flores and Sao Miguel.- Conventional Generation Dispatch Methods in Systems with Intermittent Resources.- Multi-Scale Models for Decomposing Uncertainties in Load and Wind Power.- Look-Ahead Model-Predictive Generation Dispatch Methods.- Assessing the Ability of Different Types of Loads to Participate in Adaptive Load Management.- Look-ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertainties.- Counterexamples to Commonly Held Assumptions on Unit Commitment and Market Power Assessment.- The Role of Electric Vehicles in Making Azores Islands Green.- Optimal Placement of Wind Power Plants for Delivery Loss Minimization.- Toward an Extended AC OPF-Based Approach to Wind Power Integration and Pricing.- Modeling and Control Framework to Ensure Intra-Dispatch Regulation Reserves.- Stabilization and Regulation of Small Frequency Fluctuations by Means of Governor and Flywheel Control.- The Role of Enhanced Voltage Control in Stabilizing Dynamics of Electric Energy Systems.- Small Signal Stability of Electric Power Systems on the Azores Archipelago.- Toward Reconfigurable Smart Distribution Systems for Differentiated Reliability of Service.- Transient Stabilization in Systems with Wind Power.- Generation Planning under Uncertainty with Variable Resources.
- Volume
-
gw ISBN 9783540097358
Description
This volume consists of a selection of papers presented at a 'Symposium on Mathematical Modelling in Biology and Ecology', held at the Conference Centre of the Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa on July 5 and 6, 1979. The Symposium was organized by the National Research Institute for Mathematical Sciences of the CSIR, the National Institute of Virology, the University of the Witwaters= rand and the South African Journal of Science. The primary reason for the symposium was to provide a forum for South African researchers in the fields of Mathematical Biology and Ecology, at which to present or review their most recent work. It was also hoped that such a symposium would stimulate further research in this field in South Africa and elsewhere. Accordingly a number of South African Scien= tists working on a wide range of problems in Mathematical Biology and Ecology and three Scientists from North America, were invited to present papers. Although a somewhat wide spectrum of problems was covered by the Symposium, a balance was maintained by ensuring that the papers were evenly distributed in the three categories: Models of Physiological Pro= cesses; Morphological Models; and Ecological and Population Models.
Table of Contents
I: Models of Physiological Processes.- Linear and non-linear analysis of mammalian motor control.- Optimal processes of neuro-musculoskeletal control systems.- A model cylinder of excitable cells simulates fibrillation on the basis of inhomogeneous refractory periods.- An enzyme theory of nervous conduction.- Mathematics and cancer.- A dynamic stochastic model for animal growth.- II: Morphological Models.- A two-morphogen diffusion model for gastrulation.- Modelling the human red blood cell shape.- Model biological tubules: the geometry and contraction of tubular arrays of spheres.- Microfibrillar structure of growing plant cell walls.- Modelling the growth of simple biological organisms using formal language theory.- III: Ecological and Population Models.- Evaluation of ecological simulation models.- Mathematical models for the rotating biological disc reactor.- Harvesting models and stock recruitment curves in fisheries management.- The application of modelling to Southern African fisheries management.- An exploratory model of Impala population dynamics.
by "Nielsen BookData"