재생에너지 생산시스템에서 검사 자동화의 효과 연구

초록

With the changing lifestyle of humans, the use of technologies increases, thus increasing the necessity of energy demand. Owing to limited nonrenewable energy sources, the demand for renewable energy is growing gradually. On the other hand, the waste generated increases with the increasing population rate. Wastes can be a useful source of energy demand, and environmental pollution can be reduced. This study explains a renewable energy production system. The proposed production system uses wastes as a source of raw material. Wastes are collected and transported from the collection center of a city to produce renewable energy. An autonomated inspection policy is used in the production system. The random rate of unusable wastes is scraped from the system, and the rest are sent for energy production. The total cost of the energy conversion plant is optimized analytically by a classical optimization method. Threenumerical examples are given for uniform, triangular, and beta distribution of random scrap rate. The results show that adopting beta distribution for the proposed study is required to obtain the maximum amount of renewable energy at the minimum cost. The transportation cost is found as the most sensitive cost parameter among all cost parameters. The proposed study fulfills both the aims of renewable energy production and waste management.

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