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

College

Gokongwei College of Engineering

Department/Unit

Industrial Engineering

Document Type

Article

Source Title

Green Energy and Technology

Issue

9789811071874

First Page

155

Last Page

171

Publication Date

1-1-2018

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. © 2018, Springer Nature Singapore Pte Ltd.

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Digitial Object Identifier (DOI)

10.1007/978-981-10-7188-1_7

Disciplines

Chemical Engineering

Keywords

Cogeneration of electric power and heat; Polygeneration systems; Energy consumption; Robust optimization

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