Fuzzy linear programming model for the optimal design of a trigeneration plant with product price variability

Andres Philip Mayol, Alvin B. Culaba, Kathleen B. Aviso, Denny K. S. Ng, Raymond R. Tan, Aristotle T. Ubando

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Trigeneration plant also known as combined cooling, heat, and power, offers an efficient approach in producing multiple energy products while reducing environmental emission and energy losses. It consists of cascaded processes which are interdependent in terms of the interconnectivity of materials and energy flow with each other. The design of such systems requires a methodology which considers multiple-objective goals such as maximizing economic performance and product plant output, and minimizing environmental emissions. Hence, this study proposes a fuzzy linear programming approach in the optimal design of a trigeneration plant. Since, the price of energy products have shown to have price fluctuations, the product price variability should be a key component in the design of a trigeneration plant. Limited studies have been conducted on the optimal design of a trigeneration plant where product price variability with respect to the plant capacity was considered. This study showcases the feasible optimal plant capacity given the price variability of the trigeneration products. Results revealed the feasible optimal capacities of each of the components of the trigeneration plant within the price variability change. The results of the study will aid plant owners and engineers in designing a trigeneration plant based on price fluctuation range of various energy products.

Original languageEnglish
Title of host publication2016 IEEE Region 10 Conference (TENCON)
PublisherIEEE
Pages3200-3205
Number of pages6
ISBN (Electronic)9781509025978
DOIs
Publication statusPublished - 9 Feb 2017
Event2016 IEEE Region 10 Conference - Singapore, Singapore
Duration: 22 Nov 201625 Nov 2016

Publication series

NameIEEE Region 10 Conference (TENCON)
PublisherIEEE
ISSN (Electronic)2159-3450

Conference

Conference2016 IEEE Region 10 Conference
Abbreviated titleTENCON 2016
CountrySingapore
CitySingapore
Period22/11/1625/11/16

Keywords

  • fuzzy linear programming
  • Multi-functional energy system
  • muti-objective optimization
  • price variability
  • trigeneration

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Mayol, A. P., Culaba, A. B., Aviso, K. B., Ng, D. K. S., Tan, R. R., & Ubando, A. T. (2017). Fuzzy linear programming model for the optimal design of a trigeneration plant with product price variability. In 2016 IEEE Region 10 Conference (TENCON) (pp. 3200-3205). (IEEE Region 10 Conference (TENCON)). IEEE. https://doi.org/10.1109/TENCON.2016.7848640