A fuzzy mixed-integer linear programming model for optimal design of polygeneration systems with cyclic loads

Aristotle T. Ubando, Kathleen B. Aviso, Alvin B. Culaba, Joel L. Cuello, Mahmoud M. El-Halwagi, Denny K.S. Ng, Raymond R. Tan

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

Polygeneration plants are composed of integrated processes which produce multiple energy and material products simultaneously. Their inherent efficiency generally results in reduced emissions and environmental impacts compared to stand-alone systems. However, rigorous mathematical modeling approaches need to be used for the synthesis of such systems. In this work, a fuzzy mixed-integer linear programming (FMILP) model is proposed for the optimal design of a polygeneration plant with cyclic loads. A hypothetical but realistic polygeneration system case study is then solved to illustrate the applicability of the developed model. Results show that to accommodate varying cyclic loads, the optimal design of the polygeneration plant will require a storage tank.

原文English
頁(從 - 到)1105-1112
頁數8
期刊Environmental Progress and Sustainable Energy
35
發行號4
DOIs
出版狀態Published - 2016 七月 1

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Renewable Energy, Sustainability and the Environment
  • Water Science and Technology
  • Waste Management and Disposal
  • Environmental Science(all)

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