The study presents an adaptive ES cost model that considers long-term, medium-term, and short-term ES applications, technologies and technical characteristics in a financial framework supported by in-market insight, including the capital costs of the technologies; operation and maintenance costs; replacement costs during the lifetime of the system; and disposal and recycling costs, based on the current ES costs from recently published studies, as the ES costs have changed rapidly in the past few years. The data set is the Matlab code of the formulated cost model.