The increase in energy costs, restructuring of electricity supply industry, quality of supply standards and environmental responsibility, initiated an investigation to utilize available carbon monoxide for cogeneration at an industrial site. A literature study indicated that most of the elements involved in establishing a cogeneration plant, were investigated individually, but had not been evaluated as a system with an indication of their relationships. The main objective of this study was to create a methodology to evaluate the impact of load scheduling, cogeneration and electrical tariff structures on the energy cost of an industrial operation. A modelling methodology was developed to evaluate the requirements for each of the elements, which were identified as the following processes: Plant and stockpiles Gas and fuel Power generation technology Electricity tariffs Financial evaluation Each of the processes' input requirements were evaluated in terms of being sufficient in providing either useful information or a model from which information could be manipulated. This methodology was then applied to a titanium slag producer with electric arc furnaces and excess carbon monoxide, which was burnt and treated as waste. / Dissertation (M Eng (Electrical Engineering))--University of Pretoria, 2006. / Electrical, Electronic and Computer Engineering / unrestricted

An investigation has been undertaken to ascertain how readily a power system lends itself to statistical modelling. A nonlinear state variable model has been derived in terms of measurable states. This model is linear in its coefficients which are evaluated by the least squares fitting technique of regression analysis. The statistical model's performance is evaluated by comparison of its predicted system responses with those predicted by Park's formulation, and with those produced by a laboratory power system model. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

The current practice in modelling unknown large power systems is reviewed in Chapter 1, and the inadequate representation by constant voltage and constant frequency is discussed. To determine the unknown large power system dynamics, estimation must be used. A complete model for estimation, including known and unknown power systems, is derived in Chapter 2 and the mathematical formulation in Chapter 3. Chapter 4 presents the estimation algorithm, data and results. It is found that the estimated unknown system parameter values are unique, independent of various operating conditions. Conclusions are drawn in Chapter 5. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

No description available.

No description available.

No description available.

No description available.

No description available.

No description available.

This work investigates some of the features of existing software applications for electric power system planning as well as some of the limitations that keep these applications from being more frequently used in distribution planning. This work presents a software framework that could facilitate much greater use of a wide variety of planning applications. An integrated system model (ISM) provides a centralized approach to storing data for access by other planning applications. Additionally, an integrated performance simulator (IPS) facilitates comparing the design projects generated by those various planning applications across many criteria under various load growth scenarios. Furthermore, the IPS can automatically run any number of validation routines on a given design or set of designs, alerting the planning engineer of additional, unanticipated planning needs. This paper provides three case studies which demonstrate the kinds of detailed evaluation and visualization of trade-offs that an IPS could facilitate. The case studies further highlight the greater levels of detail that may be utilized by the ISM and IPS in analyzing any set of modular designs and load growth scenarios. / Master of Science