Energy is a basic need for different purposes in an industry and it incurs the highest cost in any production
system. In order to reduce the energy cost, achieving energy efficiency with renewable fuel has
no alternative. However, when the industry operates under variable electricity pricing, only energy efficiency
cannot help cost saving. An energy management strategy for energy usage is also required.
Waste-to-energy (WtE) can be an attractive solution for renewable energy source. Current research on
small scale WtE paves the way of using WtE for energy efficiency into industries. The objective of this
work is to propose a strategy to reduce the electricity bill for the industry under variable electricity
pricing. In order to reduce the electricity bill, a fuzzy Inference System (FIS) based energy management
strategy to produce electricity in low pricing period and utilize it in peak period is proposed by integrating
small scale WtE and storage into industry system. Though this model is built for energy management,
it indirectly works as a tool for waste management as well. The performance of the proposed
model is tested with the data collected from a plastic container manufacturing industry. The cost analysis
is shown to justify the higher establishment cost of WtE.