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We study the power of current and future observational Hubble parameter data(OHD) on non-parametric estimations of the dark energy equation of state,$w(z)$. We propose a new method by conjunction of principal component analysis(PCA) and the criterion of goodness of fit (GoF) criterion to reconstruct$w(z)$, ensuring the sensitivity and reliability of the extraction of featuresin the EoS. We also give an new error model to simulate future OHD data, toforecast the power of future OHD on the EoS reconstruction. The result showsthat current OHD, despite in less quantity, give not only a similar power ofreconstruction of dark energy compared to the result given by type Iasupernovae, but also extend the constraint on $w(z)$ up to redshift $z\simeq2$.Additionally, a reasonable forecast of future data in more quantity and betterquality greatly enhances the reconstruction of dark energy.

Nonparametric reconstruction of dynamical dark energy via observational Hubble parameter data