Due to the indiscriminate utilization of fossil fuel, global warming is now a major issue. Wind power, however, is abundant, renewable, and produces almost no greenhouse gas during operation. The overall goal of projects of this sort is to investigate what can be improved in the practice of production and maintenance for wind power plants, in order for wind power to become a really major player in the energy production game.
A study at the University of Strathclyde shows that for a 3.3MW wind turbine on average 49% of the cost of operations stems from its operations and maintenance. To reduce the maintenance costs, the optimization group at Mathematical Sciences developed an optimization model – the Preventive Maintenance Scheduling Problem with Interval Costs (PMSPIC). However, solving this model sometimes takes too long time. The goal of this project is to find a faster way to solve the PMSPIC, including smart heuristics, all coded in Gurobi.
Reference: Preventive maintenance scheduling of multi-component systems with interval costs, Computers & Industrial Engineering, vol. 76, pp. 390–400.
GU- och Chalmersstudenter. För GU-studenter räknas projektet som ett projekt i Tillämpad matematik (MMG900/MMG920). Projektspecifika förkunskapskrav
Students must have completed courses in nonlinear optimization. Linear and integer optimization with applications is recommended.
Se respektive kursplan för allmänna förkunskapskrav. Utöver de allmänna förkunskapskraven i MVEX01 ska Chalmersstudenter ha avklarat kurser i en- och flervariabelanalys samt linjär algebra.Handledare
Quanjiang Yu, email@example.comExaminator
Maria Roginskaya, Ulla DingerInstitution