Our research aims to develop an intelligent control system for optimizing the operation of lighting systems for a jogging track in the countryside by using adaptive control methods, and optimization of built-in lighting control. Through this, lighting systems will be optimized, energy consumption will be minimized and the lighting system will be adapted to be able to handle a larger amount of local renewable energy production. Due to the level of complexity, in this paper, we have focused to integrate a commercial lighting control system and the solar energy system with energy storage. In particular, their respective components were selected and integrated by means of a distributed control architecture. An application programming interface (API) was developed by using the design science research methodology aiming at bridging proprietary systems for sustainable lighting solutions. In addition, a series of focus group interviews were conducted to give input to the optimization of the lighting system from a user perspective.