Synthesis of cogeneration, trigeneration, and polygeneration systems using target-oriented robust optimization

Charlle L. Sy, Kathleen B. Aviso, Aristotle T. Ubando, Raymond R. Tan

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Simultaneous generation of heat, cooling, and other secondary products along with electricity can be more efficient than stand-alone production of these individual streams, due to the opportunities for process integration that naturally arise in such systems. Various cogeneration, trigeneration, and polygeneration schemes can also be configured to achieve operational flexibility to cope with a variable supply of fuels and feedstocks, as well as fluctuating product demand. However, techno-economic risks resulting from long-term uncertainties in the prices of both inputs and outputs can be a barrier to investing in these efficient systems. Hence, this chapter presents a target-oriented robust optimization (TORO) approach for dealing with parametric uncertainties in the synthesis of cogeneration, trigeneration, and polygeneration systems. The model is formulated as a mixed-integer nonlinear program (MINLP), and candidate designs at different levels of robustness can be assessed using Monte Carlo simulation. The methodology is illustrated with a case study on the synthesis of a cogeneration plant.

Original languageEnglish
Title of host publicationGreen Energy and Technology
PublisherSpringer Verlag
Pages155-171
Number of pages17
Edition9789811071874
DOIs
Publication statusPublished - 2018

Publication series

NameGreen Energy and Technology
Number9789811071874
Volume0
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law
  • Industrial and Manufacturing Engineering

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