Published December 2012 | Version v1
Journal article

Consensual decision-making model based on game theory for LNG processes

  • 1. Department of Energy and Process Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway)

Description

Highlights: ► A Decision Making (DM) approach for LNG projects based on game theory is presented. ► DM framework was tested with two different cases, using analytical models and a simple LNG process. ► The problems were solved by using a Genetic Algorithm (GA) binary coding and Nash-GA. ► Integrated models from the design and optimization of the process could result in more realistic outcome. ► The major challenge in such a framework is related to the uncertainties in the market models. - Abstract: Decision-Making (DM) in LNG projects is a quite complex process due to the number of actors, approval phases, large investments and capital return in the long time. Furthermore, due to the very high investment of a LNG project, a detailed and efficient DM process is required in order to minimize risks. In this work a Decision-Making (DM) approach for LNG projects is presented. The approach is based on a consensus algorithm to address the consensus output over a common value using cost functions within a framework based on game theory. The DM framework was tested with two different cases. The first case was used for evaluating the performance of the framework with analytical models, while the second case corresponds to a simple LNG process. The problems were solved by using a Genetic Algorithm (GA) binary coding and Nash-GA. The results of the DM framework in the LNG project indicate that considering an integrated DM model and including the markets role from the design and optimization of the process more realistic outcome could be obtained. However, the major challenge in such a framework is related to the uncertainties in the market models.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2012.06.014

Additional details

Identifiers

DOI
10.1016/j.enconman.2012.06.014;
PII
S0196-8904(12)00267-1;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
64
Journal Page Range
p. 387-396
ISSN
0196-8904
CODEN
ECMADL

Conference

Title
3. international renewable energy congress
Acronym
IREC 2011
Dates
20-22 Dec 2011
Place
Hammamet (Tunisia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44084144
Subject category
S03: NATURAL GAS;
Resource subtype / Literary indicator
Conference, Numerical Data
Descriptors DEI
ALGORITHMS; DECISION MAKING; GAME THEORY; LIQUEFIED NATURAL GAS; STATISTICAL DATA
Descriptors DEC
DATA; ENERGY SOURCES; FLUIDS; FOSSIL FUELS; FUEL GAS; FUELS; GAS FUELS; GASES; INFORMATION; LIQUEFIED GASES; LIQUIDS; MATHEMATICAL LOGIC; MATHEMATICS; NATURAL GAS; NUMERICAL DATA; STATISTICS

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.