Smart Grid Adaption of Church Heat

Abstract

The Internet is growing in a rapid pace and, as a natural result of this development, more aspects of daily life have relocated to the Internet. The Internet of Things, IoT, is a way of connecting devices over the Internet, enabling them to collect and distribute data. Smart grids are one of the primary applications of IoT and, in the past few years, comprehensive research has been conducted on smart grid heat management systems. This thesis proposes a smart grid heat management system based on a model for the temperature change and a graph model, together with a shortest path algorithm in order to achieve financial savings. The proposed model for temperature and the graph model make use of energy prices and weather forecasts, provided by Nord Pool and SMHI, respectively. The system is evaluated and analyzed in terms of financial savings in relation to the intermittent heating method used today, as well as in terms of performance, as it will be deployed on a microprocessor. The performance is evaluated by comparing memory usage and execution time by using A* search and Dijkstra’s algorithm. The findings of the thesis suggests that it is possible to create a smart grid heat management system and achieve a decrease in energy costs, in relation to the intermittent heating method, of approximately 2.5%.