Multi-objective pinch analysis with multiple resources
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Article
Source Title
Chemical Engineering Transactions
Volume
45
First Page
823
Last Page
828
Publication Date
10-10-2015
Abstract
Pinch Analysis is an optimization technique that has been applied to a wide array of problems ranging from water networks to power systems. In general, Pinch Analysis is applied to single objective optimization problems. A characterizing parameter, called prioritized cost, has been developed to identify a cost optimal solution with multiple resources. In this work, Pinch Analysis is extended to address multi-objective Pinch Analysis problems with multiple resources. This is achieved by assigning a weighting factor to each objective and calculating the prioritized cost based on this variable. As the weighted prioritized cost is a linear function, it is possible to identify key values of the weighting factor where the order of priorities shifts. This greatly reduces the complexity of the problem and makes it possible to identify all the viable resource combinations. The plots of prioritized cost as a function of weighting factor can be obtained for any number of available resources. Using the prioritizing order given by these plots, Pinch Analysis can be extended to solving multi-objective optimization problems. The proposed methodology is demonstrated using the Indian power sector as an example with objectives to simultaneously minimize the capital investment and emission of oxides of nitrogen while keeping the carbon dioxide emission within prescribed limits. Copyright © 2015, AIDIC Servizi S.r.l.,.
html
Digitial Object Identifier (DOI)
10.3303/CET1545138
Recommended Citation
Priya, G. K., Bandyopadhyay, S., & Tan, R. R. (2015). Multi-objective pinch analysis with multiple resources. Chemical Engineering Transactions, 45, 823-828. https://doi.org/10.3303/CET1545138
Disciplines
Chemical Engineering
Keywords
Energy consumption; Energy consumption—Forecasting
Upload File
wf_no