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

作者：Ubando Aristotle T^*; Aviso Kathleen B; Culaba Alvin B; Cuello Joel L; El Halwagi Mahmoud M; Ng Denny K S; Tan Raymond R

来源：Environmental Progress & Sustainable Energy, 2016, 35(4): 1105-1112.

DOI：10.1002/ep.12305

• polygeneration
• cyclic load
• optimal design
• fuzzy mixed-integer linear programming

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.

• 出版日期2016-7