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

doi:10.1002/ep.12305

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

Department of Aeronautics and Astronautics

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1105-1112
Number of pages	8
Journal	Environmental Progress and Sustainable Energy
Volume	35
Issue number	4
DOIs	https://doi.org/10.1002/ep.12305
Publication status	Published - 2016 Jul 1

All Science Journal Classification (ASJC) codes

Water Science and Technology
General Chemical Engineering
Waste Management and Disposal
General Environmental Science
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Environmental Chemistry

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10.1002/ep.12305

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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.",

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AU - Ubando, Aristotle T.

AU - Aviso, Kathleen B.

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AU - Cuello, Joel L.

AU - El-Halwagi, Mahmoud M.

AU - Ng, Denny K.S.

AU - Tan, Raymond R.

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AB - 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.

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

Abstract

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