(290e) Characterization and Optimal Site Matching of Wind Turbine: Effects on the Economics of Synthetic Methane Production
In this work, we evaluate the optimal site matching of wind farms developing a generic single equation model to characterize the power curve of a number of current commercial onshore and offshore wind turbines. Next, mathematical MINLP formulations are developed that allow considering the velocity distribution on a monthly basis, including wind variability using Weibull distribution. We apply the formulation to select the appropriate turbine type and number for the production of synthetic methane. This allows evaluating the effect of the site on the wind turbine selection and the investment and production costs of synthetic methane from hydrolytic hydrogen and CO2. The chemical facility was developed in a previous work Davis and MartÃn (2014a&b). In that work it was shown that 94% of the investment cost is due to the wind farm. Thus, we can identify advantages in selecting the proper place and turbine in terms of economic savings for producing an easy to use and store/transport fuel.
The optimal selection of turbine and place result in competitive prices for synthetic methane, below 2â?¬/MMBTU, as long as the appropriate turbine and allocation are selected. By using the formulation to select the allocation of such a facility in Spain, the best place selected corresponds to the one in Davis and MartÃn (2014a) paper, CÃ¡diz. However, the use of the appropriate turbine design resulted in savings of 42 MMâ?¬ compared to the results in Davis and MartÃn (2014a) and a production cost 25% lower. Therefore, the formulation presented in this work provides a useful tool for the selection of turbines and allocations. Finally, the selection under uncertainty results in the fact that, although in general the cost is expected to be higher, since a more robust solution is expected, sometimes lower production prices are found due to the fact that the more detailed wind distribution fits better with the power curve than just an average velocity.
Archer CL., 2004. The Santa Cruz Eddy and U.S. wind power, Ph.D. Thesis, 190 pp., Stanford University,
Stanford, 1 April 2004.
Davis, W., Martín, M ., 2014a. Optimal year-round operation for methane production from CO2 and Water using wind energy. Energy 69, 497-505
Davis, W., Martín, M., 2014b. Optimal year-round operation for methane production from CO2 and Water using wind and/or Solar energy. J. Cleaner Prod. 80, 252-261.
El-Shimy, M. Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt. Renew. Energ. 35 (8), 1870-1878
Grossmann, I. E., Sargent, R.W.H., 1978. Optimum Design of Chemical Plants with Uncertain Parameters, AIChE J., 24 (6), 1021-1028
Halemane, K.P.,Grossmann, I. E. , 1983. Optimal process design under uncertainty AIChE, J., 29 (3), 425-433