Using the microclimate to optimise renewable energy installations
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DOI: 10.1016/j.renene.2007.10.010
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References listed on IDEAS
- Carta, J.A. & Ramírez, P., 2007. "Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions," Renewable Energy, Elsevier, vol. 32(3), pages 518-531.
- Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
- Cuerva, A. & Sanz-Andrés, A., 2005. "The extended Betz–Lanchester limit," Renewable Energy, Elsevier, vol. 30(5), pages 783-794.
- Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
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- Ferguson, Grant, 2012. "Characterizing uncertainty in groundwater-source heating and cooling projects in Manitoba, Canada," Energy, Elsevier, vol. 37(1), pages 201-206.
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Keywords
Microgeneration; Wind power; Microclimate; Roadside weather stations;All these keywords.
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