{"title":"Optimal Green Facility Planning - Implementation of Organic Rankine Cycle System for Factory Waste Heat Recovery","authors":"Chun-Wei Lin, Yu-Lin Chen","volume":79,"journal":"International Journal of Environmental and Ecological Engineering","pagesStart":463,"pagesEnd":467,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/16501","abstract":"
As global industry developed rapidly, the energy
\r\ndemand also rises simultaneously. In the production process, there’s a
\r\nlot of energy consumed in the process. Formally, the energy used in
\r\ngenerating the heat in the production process. In the total energy
\r\nconsumption, 40% of the heat was used in process heat, mechanical
\r\nwork, chemical energy and electricity. The remaining 50% were
\r\nreleased into the environment. It will cause energy waste and
\r\nenvironment pollution. There are many ways for recovering the waste
\r\nheat in factory. Organic Rankine Cycle (ORC) system can produce
\r\nelectricity and reduce energy costs by recovering the waste of low
\r\ntemperature heat in the factory. In addition, ORC is the technology
\r\nwith the highest power generating efficiency in low-temperature heat
\r\nrecycling. However, most of factories executives are still hesitated
\r\nbecause of the high implementation cost of the ORC system, even a lot
\r\nof heat are wasted. Therefore, this study constructs a nonlinear
\r\nmathematical model of waste heat recovery equipment configuration
\r\nto maximize profits. A particle swarm optimization algorithm is
\r\ndeveloped to generate the optimal facility installation plan for the ORC
\r\nsystem.<\/p>\r\n","references":"
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