| dc.description.abstract | The construction sector is gradually increasing its energy requirements due to the growing scale of projects worldwide, including in Norway. This has led to a need for renewable energy solutions, particularly Mobile Energy Storage Systems (MESS). This thesis presents a detailed optimization model for MESS transportation management developed to prioritize route optimization. This optimization model uses a Mixed-Integer Linear Programming (MILP) approach with different parameters, decision variables, objective functions, and constraints. In the initial step, this model was solved by heuristic methods using the PuLP library and the CBC solver. After encountering difficulties handling complex limitations, a dynamic programming model was developed to address these issues. Several study cases are formulated to validate the model, including scalability checks. Although the model has potential, more research is needed to customize it for real-world issues. | |
