Reliable estimation of energy or pore size distributions is the key element in the design and operation of all adsorption processes. Direct measurement of these parameters is not practically feasible. Complex theories and sophisticated models are required to obtain a faithful estimation of these distributions from a set of measured isotherms. Once the correct energy distribution(ED) is known, the pore size distribution can be computed (or vice versa) with high accuracy using reliable analytical techniques. A novel method based on linear regularization theory is presented in this article to extract the ED from highly noisy adsorption isotherms with least assumptions. Three synthetic noisy adsorption data sets were employed to illustrate the remarkable performance of the proposed method for capturing single, double and triple peak energy distributions.

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