Partner und Internationale Organisationen
(Englisch)
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IER/University of Stuttgart (D), IHS - Institute for Advanced Studies, Vienna (A); IJS - Jozef Stefan Institute, Ljubljana (SI); FE/University of Ljubljana (SI); TE-TOL - Termoelektrarna toplarna d.o.o., Ljubljana (SI); BEWAG, Berlin (D)
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Abstract
(Englisch)
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Objectives: Regarding the liberalisation of the energy markets, it is absolutely necessary to build realistic combined-heat-and-power (CHP) operation models that take into account this new situation. The aim of the project is, therefore, to develop a comprehensive optimisation tool for the operation of co-generation plants in competitive energy markets. The first objective of the project is to build an optimisation model, which maps the technical and economic characteristics of the CHP plants in detail and delivers satisfactory optimisation results. The second objective is to explicitly allow for uncertainties. Particularly, we aim to find robust solutions for the optimum weekly operation schedule in a world where many important parameters (e.g. weather, energy prices) are not known a priori. The third objective is to provide support for the submission of optimum bids on the electricity spot market.
Work Description: The key task of the project is to build a program for the optimisation of combined heat and power plant operation which will deliver fast and accurate planning results in an environment where energy markets are liberalised. First, a deterministic prototype optimisation model for CHP systems will be built flexible enough to be adapted to different types of generating systems. This step is a preparatory step for the formulation of the problem in a way that can be solved by means of a genetic algorithm. The tradeoffs between accuracy and solution finding speed of the modelling of non-linearities will be assessed for selected technologies. Based on the deterministic prototype model, uncertain parameters and variables will be included. Therefore the prevailing electricity spot market trading systems in the EU will be investigated. The prototype model is then being extended to build a stochastic optimisation model for CHP systems. Furthermore, a genetic algorithm based solver will first be developed for the deterministic prototype CHP optimisation model and from there extended to solve for the parsimonious stochastic CHP operation model. The electricity markets in the EU and the associated trading characteristics will be investigated as well as the uncertainties at the bidding stage and its correlation with the underlying market characteristics. Based on these results a method for evaluating optimum bidding strategies is built by using the models developed before. The optimisation tool will be tested, adjusted and improved jointly with industrial partners in Germany and Slovenia through two case studies.
Expected Results & Exploitation Plans: The results of the study will provide new and valuable insights on the modelling of CHP systems and the usefulness of genetic algorithms for solving optimisation problems in the energy sector. Furthermore, the project will provide a prototype of a tool for the optimisation of CHP operation, which may be used by the industrial partners for their actual CHP operation planning. If successful, the prototype may be developed further by the research partners to become a commercially available tool for CHP operation. Finally, due to the expected CHP plant operation cost reductions as a result of employing the optimisation tool developed within OSCOGEN, the competitiveness of such plants in liberalised energy markets will be improved. Hence, the OSCOGEN project is expected to contribute to the goal of the European Community to protect the environment, and in particular to reduce CO2 and other emissions.
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