eprintid: 1531852
rev_number: 28
eprint_status: archive
userid: 608
dir: disk0/01/53/18/52
datestamp: 2016-12-11 06:18:39
lastmod: 2021-10-10 22:59:44
status_changed: 2019-01-23 10:35:21
type: proceedings_section
metadata_visibility: show
creators_name: Pichler, MF
creators_name: Dröscher, A
creators_name: Schranzhofer, H
creators_name: Kontes, GD
creators_name: Giannakis, GI
creators_name: Kosmatopoulos, EB
creators_name: Rovas, DV
title: Simulation-assisted building energy performance improvement using sensible control decisions
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
divisions: F34
keywords: Energy Efficiency in Buildings, Adaptive Optimization,
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The building sector contributes significantly to global energy consumption and emission of greenhouse gases. Thermal insulation along with installation of energy-efficient building systems can reduce energy needs while preserving or improving occupant comfort levels. Still sensible control decisions, to harmoniously and effectively operate all building thermal systems, can be used to further improve building energy performance and/or thermal comfort. In this article, a simulation-assisted methodology is presented to automatically generate such decisions. There are two ingredients to our approach: a thermal simulation model - - a surrogate of the real building - - used to evaluate the effects of potential decisions; and, a cognitive adaptive optimization algorithm used to intelligently search for the "best" control decision. A user-defined cost function is used to compare various decision strategies. Corroborating simulation results are presented to quantify the expected benefits of the proposed approach. © 2011 ACM.
date: 2011-12-01
date_type: published
publisher: AMC
official_url: https://dl.acm.org/citation.cfm?doid=2434020.2434041
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1195383
doi: 10.1145/2434020.2434041
isbn_13: 9781450307499
lyricists_name: Rovas, Dimitrios
lyricists_id: DROVA15
full_text_status: public
publication: BuildSys 2011 - Proceedings of the 3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, Held in Conjunction with ACM SenSys 2011
pagerange: 61-66
event_title: Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, ACM SenSys 2011
book_title: BuildSys '11 Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
citation:        Pichler, MF;    Dröscher, A;    Schranzhofer, H;    Kontes, GD;    Giannakis, GI;    Kosmatopoulos, EB;    Rovas, DV;      (2011)    Simulation-assisted building energy performance improvement using sensible control decisions.                     In:  BuildSys '11 Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings.  (pp. pp. 61-66).  AMC       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1531852/1/Rovas%20AAM%20C16.pdf