Critical infrastructure’s (CI) (electricity, heat, water, information and communication technology networks) security, stability and reliability are closely related to the interaction phenomenon. Due to the increasing amount of data transferred, increases dependence on telecommunications and internet services, the data integrity and security is becoming a very important aspect for the utility services providers and energy suppliers. In such circumstances, the need is increasing for methods and tools that enable infrastructure managers to evaluate and predict their critical infrastructure operations as the failures, emergency or service degradation occur in other related infrastructures. Using a simulation model, is experimentally tested a method that allows to explore the water supply network nodes the average down time dependence on the battery life time and the battery replacement time crosscorrelations, within the parameters set, when outages in power infrastructure arise and taking into account also the impact of telecommunication nodes. The model studies the real case of Latvian city Ventspils. The proposed approach for the analysis of critical infrastructures interdependencies will be useful for practical adoption of methods, models and metrics for CI operators and stakeholders.