This paper introduces social learning into irreversible investment theory through parameter uncertainty, and shows that social learning could reduce parameter uncertainty to facilitate irreversible investment technology adoption. The theoretic model is tested by using household level data from energy saving greenhouse adoption in northern China, and empirical evidences are consistent with the theory: social learning has significantly positive impacts on greenhouse adoption, while market volatility discourages the adoption.