Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants |
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| Authors: | E. Godoy N.J. Scenna S.J. Benz |
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| Affiliation: | 1. UTN, FRRo – Universidad Tecnológica Nacional, Facultad Regional Rosario, Zeballos 1341, 2000 Rosario, Argentina;2. INGAR/CONICET, Instituto de Desarrollo y Diseño, Avellaneda 3657, 3000 Santa Fe, Argentina;1. DIME sez.MASET, University of Genova, Via Montallegro 1, 16145 Genova, Italy;2. School of Engineering, University of Hull, Hull HU6 7RX, UK;1. APS Engenharia, Porto Alegre, Brazil;2. Graduate Program in Mechanical Engineering UFRGS, Porto Alegre, Brazil;3. Department of Mechanical Engineering UFRGS, Sarmento Leite 425, 90046-902 Porto Alegre, RS, Brazil;1. Comillas Pontifical University, Calle Alberto Aguilera 23, Madrid, Spain;2. Innomerics, Calle San Juan de la Cruz 2, Pozuelo de Alarcón, Spain;1. Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK;2. Centre for Environmental Policy, Imperial College London, South Kensington Campus, London SW7 1NA, UK;1. Institute of Power Engineering and Automation, Academy of Sciences of Uzbekistan, 29 Durmon yuli, Akademgorodok, Tashkent 100125, Uzbekistan;2. Department of Development Technology, Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima 739-8529, Japan;3. MI Consulting Corporation, AIM Bldg., 3-8-1 Asano, Kokurakita-ku, Kitakyushu-shi, Fukuoka 802-0001, Japan |
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| Abstract: | Optimal designs of a CCGT power plant characterized by maximum second law efficiency values are determined for a wide range of power demands and different values of the available heat transfer area. These thermodynamic optimal solutions are found within a feasible operation region by means of a non-linear mathematical programming (NLP) model, where decision variables (i.e. transfer areas, power production, mass flow rates, temperatures and pressures) can vary freely. Technical relationships among them are used to systematize optimal values of design and operative variables of a CCGT power plant into optimal solution sets, named here as optimal solution families. From an operative and design point of view, the families of optimal solutions let knowing in advance optimal values of the CCGT variables when facing changes of power demand or adjusting the design to an available heat transfer area. |
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