Published March 2018 | Version v1
Journal article

SYNTHSEP: A general methodology for the synthesis of energy system configurations beyond superstructures

  • 1. University of Padova, Department of Industrial Engineering, via Venezia 1, 35131, Padova (Italy)
  • 2. Luleå University of Technology, Department of Engineering Science and Mathematics, 97187, Luleå (Sweden)

Description

Highlights: • A new general methodology is proposed to build complex energy systems configurations. • The building blocks of the methodology are elementary thermodynamic cycles. • The methodology does not build a superstructure in advance. • The paper shows how an artificial intelligence is able to replace designer's experience. The proper choice of the energy system configuration and design parameters, generally named "synthesis/design problem", is only rarely straightforward because of the many variables involved. The goal of a standard for the generation of new system configurations has recently led to superstructures that potentially include all possible configurations, among which the optimum one, yet the ability of defining in advance such superstructures is a fundamental limit of this technique. To overcome this problem a bottom-up methodology is proposed, which relies on the basic idea that the system configuration is certainly based on one or more thermodynamic cycles that may share some processes or be combined in a cascade form. Accordingly, all the possible ways of combining elementary cycle processes into meaningful system configurations are first identified using a comprehensive and rigorous set of rules. An optimization is then performed in which the search space consists of all the obtainable configurations and associated design parameters. The paper shows all steps of this original synthesis/design optimization methodology and its effectiveness in the search for the best two-pressure level ORC system configuration. The optimum results obtained using different working fluids and temperatures of the heat source allow general design guidelines to be identified.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2018.01.075

Additional details

Identifiers

DOI
10.1016/j.energy.2018.01.075;
PII
S0360544218300938;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
147
Journal Page Range
p. 924-949
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53001127
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION;
Descriptors DEI
ARTIFICIAL INTELLIGENCE; DESIGN; ENERGY SYSTEMS; HEAT SOURCES; OPTIMIZATION; RANKINE CYCLE; SYNTHESIS; WORKING FLUIDS
Descriptors DEC
FLUIDS; THERMODYNAMIC CYCLES

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.