A fuzzy mixed‐integer linear programming model for optimal design of polygeneration systems with cyclic loads. Issue 4 (15th February 2016)

• Record Type: Journal Article
• Authors: Ubando, Aristotle T.; Aviso, Kathleen B.; Culaba, Alvin B.; Cuello, Joel L.; El‐Halwagi, Mahmoud M.; Ng, Denny K.S.; Tan, Raymond R.
• Is Part Of: Environmental progress & sustainable energy. Volume 35:Issue 4(2016:Dec.)
• Page Start: 1105
• Page End: 1112
• Publication Date: 2016-02-15
• Subjects: polygeneration -- cyclic load -- optimal design -- fuzzy mixed‐integer linear programming; Environmental engineering -- Periodicals; Sustainable engineering -- Periodicals; Environmental chemistry -- Periodicals; 333.7
• DOI: 10.1002/ep.12305
• Languages: English
• ISSNs: 1944-7442

Abstract

Abstract : 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. © 2016 American Institute of Chemical Engineers Environ Prog, 35: 1105–1112, 2016