Tri-generation systems optimization: Comparison of heuristic and mixed integer linear programming approaches

Aldo Bischi, Stefano Campanari, Alberto Castiglioni, Giampaolo Manzolini, Emanuele Martelli, Paolo Silva, Ennio Macchi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This work compares two optimization approaches for combined cooling, heating and power (CCHP or Tri-generation) energy systems scheduling. Both approaches are developed through dedicated software codes and are based on simulation models capable of evaluating of the best operating strategy (both economically and energy-wise) to run a given trigeneration plant while dealing with time-variable loads and tariffs. The simultaneous use of different prime movers operating in parallel is taken into consideration as well as their part load performance, the influence of ambient temperature and the usage of a heat storage system. Cooling may be generated through absorption chillers or electrically driven compression cycles. One of the models is heuristic and adopts an optimization strategy based on a multi-step approach: it simulates several cases according to a pre-defined number of paths, exploring the most reasonable operational modes and comparing them systematically. The other relies on a mathematical approach, based on a Mixed Integer Linear Programming (MILP) optimization model which has been developed in order to deal with more complex systems without the need of predefining a too large variety of operation paths. Results of the two models are compared against a test case based on real plant specifications, discussing their performance by the point of view of simulation capabilities, quality and accuracy of the optimization results (in terms of differences in energy and economic performance) and computational resources.

Original languageEnglish
Title of host publicationCoal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791845653
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventASME Turbo Expo 2014: Turbine Technical Conference and Exposition, GT 2014 - Dusseldorf, Germany
Duration: 16 Jun 201420 Jun 2014

Publication series

NameProceedings of the ASME Turbo Expo
Volume3A

Conference

ConferenceASME Turbo Expo 2014: Turbine Technical Conference and Exposition, GT 2014
Country/TerritoryGermany
CityDusseldorf
Period16/06/1420/06/14

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