eprintid: 13386
rev_number: 16
eprint_status: archive
userid: 5
dir: disk0/00/01/33/86
datestamp: 2016-07-22 07:31:43
lastmod: 2021-08-27 17:41:15
status_changed: 2016-07-22 07:31:43
type: article
metadata_visibility: show
creators_name: Cano, E.L.
creators_name: Moguerza, J.M.
creators_name: Ermolieva, T.
creators_name: Yermoliev, Y.
creators_id: 8757
creators_id: 7638
creators_id: 1445
title: A strategic decision support system framework for energy-efficient technology investments
ispublished: pub
divisions: prog_asa
divisions: prog_esm
keywords: Decision support systems; dynamic stochastic programming; uncertainty modelling; strategic and operational planning
abstract: Energy systems optimization under uncertainty is increasing in its importance due to on-going global de-regulation of the energy sector and the setting of environmental and efficiency targets which generate new multi-agent risks requiring a model-based stakeholders dialogue and new systemic regulations. This paper develops an integrated framework for decision support systems (DSS) for the optimal planning and operation of a building infrastructure under appearing systemic de-regulations and risks. The DSS relies on a new two-stage, dynamic stochastic optimization model with moving random time horizons bounded by stopping time moments. This allows to model impacts of potential extreme events and structural changes emerging from a stakeholders dialogue, which may occur at any moment of the decision making process. The stopping time moments induce endogenous risk aversion in strategic decisions in a form of dynamic VaR-type systemic risk measures dependent on the system’s structure. The DSS implementation via an algebraic modeling language (AML) provides an environment that enforces the necessary stakeholders dialogue for robust planning and operation of a building infrastructure. Such a framework allows the representation and solution of building infrastructure systems optimization problems, to be implemented at the building level to confront rising systemic economic and environmental global changes.
date: 2017-07
date_type: published
publisher: Springer-Verlag
id_number: 10.1007/s11750-016-0429-9
creators_browse_id: 2850
creators_browse_id: 83
creators_browse_id: 338
full_text_status: public
publication: TOP
volume: 25
number: 2
pagerange: 249-270
refereed: TRUE
issn: TOP
projects: Energy Efficiency and Risk Management in Public Buildings (ENRIMA, FP7 260041)
coversheets_dirty: FALSE
fp7_project: yes
fp7_project_id: info:eu-repo/grantAgreement/EC/FP7/260041/EU/Energy Efficiency and Risk Management in Public Buildings/ENRIMA
fp7_type: info:eu-repo/semantics/article
access_rights: info:eu-repo/semantics/openAccess
citation:   Cano, E.L. <https://pure.iiasa.ac.at/view/iiasa/2850.html>, Moguerza, J.M., Ermolieva, T. <https://pure.iiasa.ac.at/view/iiasa/83.html>, & Yermoliev, Y. <https://pure.iiasa.ac.at/view/iiasa/338.html>  (2017).  A strategic decision support system framework for energy-efficient technology investments.   TOP 25 (2) 249-270. 10.1007/s11750-016-0429-9 <https://doi.org/10.1007/s11750-016-0429-9>.       
document_url: https://pure.iiasa.ac.at/id/eprint/13386/1/StratDec.pdf