eprintid: 4674
rev_number: 7
eprint_status: archive
userid: 351
dir: disk0/00/00/46/74
datestamp: 2016-01-15 02:06:49
lastmod: 2021-08-27 17:15:27
status_changed: 2016-01-15 02:06:49
type: article
metadata_visibility: show
item_issues_count: 3
creators_name: Messner, S.
creators_name: Golodnikov, A.
creators_name: Gritsevskii, A.
creators_id: 1406
creators_id: AL6780
title: A stochastic version of the dynamic linear programming model MESSAGE III
ispublished: pub
internal_subjects: iis_ene
internal_subjects: iis_mod
divisions: prog_ecs
abstract: This paper introduces an approach to modeling the uncertainties concerning future characteristics of energy technologies within the framework of long-term dynamic linear programming models. The approach chosen explicitly incorporates the uncertainties in the model, endogenizing interactions between decision structure and uncertainties involved. The use of this approach for future investment costs of electricity generation technologies in the framework of very long-term energy scenarios shows improvements in model behavior and more robust solutions with respect to technology choices made.
date: 1996-09
date_type: published
publisher: Elsevier
id_number: 10.1016/0360-5442(96)00025-4
iiasapubid: XJ-96-027
iiasa_bibref: Energy - The International Journal; 21(9):775-784 [1996]
iiasa_bibnotes: Available as IIASA Reprint RP-97-002
creators_browse_id: 1449
creators_browse_id: 2611
full_text_status: none
publication: Energy
volume: 21
number: 9
pagerange: 775-784
refereed: TRUE
issn: 1873-6785
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/article
citation:   Messner, S. <https://pure.iiasa.ac.at/view/iiasa/1449.html>, Golodnikov, A., & Gritsevskii, A. <https://pure.iiasa.ac.at/view/iiasa/2611.html>  (1996).  A stochastic version of the dynamic linear programming model MESSAGE III.   Energy 21 (9) 775-784. 10.1016/0360-5442(96)00025-4 <https://doi.org/10.1016/0360-5442%2896%2900025-4>.