Dynamic scheduling of a flow shop with on-site wind generation for energy cost reduction under real time electricity pricing

On-site renewable electricity generation represents an attractive option for manufacturing enterprises to deal with time varying electricity prices while reducing their carbon footprint. Production scheduling can be used to take full advantage of the installed renewable energy capacity for electricity cost reduction. A dynamic scheduling approach is proposed to minimize the electricity cost of a flow shop with a grid-integrated wind turbine. Time series models are used to provide updated wind speed and electricity prices as actual data becomes available. The production schedule and energy supply decisions are adjusted based on the new information. The approach is demonstrated using a case study.