study of ORC with the expansion process twin screw machines

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Optimization Module To maximize the economic competitiveness of ORC systems it is essential to optimise their design. From a thermodynamic point of view for an ORC unit, the reduction of heat sink temperature raises the thermal efficiency of the cycle. Thus, the working fluid should be chosen in a way that, even for the lowest annual temperatures, its condensation pressure exceeds atmospheric pressure. The optimal operating point of such an ORC power plant can be approached in two ways firstly, for a given investment it’s the point at which maximum power is generated. If it is assumed that the total power plant cost is some function of its physical size (UA), then an optimally designed ORC plant will always operate at the maximum power condition. Alternatively, the aim is to minimise the cost per unit output. Unlike the traditional case, there is no recurring fuel cost to complicate optimization, so these maximum power points reflect true optimal for the defined operating conditions. P5 demonstrates the fundamental relationship between power output, efficiency and heat exchanger conductance (surface area function, UA). The two parameters used for the evaluation of the performances are the net output power and the cycle efficiency. The objectives of the optimization can be two fold:  Maximization of the total efficiency of the ORC plant  Minimization of the cost of the ORC plant Since the cost of the heat exchanger and the condenser constitute a major part of the plant cost, for optimizing purposes we can substitute the plant cost by their cost. So the new goal can be to minimize the cost of the heat exchanger and the condenser which is proportional to their surface. In such case the analysis will maximizes the profitability, rather than the efficiency, of a given ORC by combining plant heat balances with a plant financial model. Output module This provides information to generate the optimum design for new ORC plant, or, to make the right modifications to an existing plant, one can precisely predict plant performance to determine the optimal way to run an ORC. Output data includes:  Expander shaft power  Net power out put  Cycle efficiency 50

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