Open-Source Approach for Modelling Digital Twins in Non-Profit Organisations

In the current context where digital processes, energy efficiency and sustainability are becoming increasingly important, digital twins have become an important tool. This article explores the possibility of using the freely available software Node-RED to create cost-effective digital twins for energy optimization in both profit and non-profit organizations. Based on literature research and a practical case study, it is shown that Node-RED is well-suited for non-profit organizations. It enables the creation of digital twins that allow in-depth analyses for energy optimization by linking different data sources. This research contributes by providing a cost-effective method and a modular system with predefined nodes that enable a sustainable and accessible implementation of a digital twin. Further research could focus on the integration of machine learning algorithms and simulations into the demonstrated modelling framework.