Estimating demand response potential in building clusters

被引:19
|
作者
Goy, Solene [1 ]
Finn, Donal [1 ]
机构
[1] Natl Univ Ireland Univ Coll Dublin, Sch Mech & Mat Engn, Elect Res Ctr, Dublin 4, Ireland
关键词
Demand Response; Building Energy Modelling; Predictive control; MODEL-PREDICTIVE CONTROL; USE ENERGY-CONSUMPTION; NEURAL-NETWORKS; CONTROL-SYSTEMS; ELECTRIC-LOAD; SIMULATION; STOCK; PERFORMANCE; COMFORT; SECTOR;
D O I
10.1016/j.egypro.2015.11.756
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The large-scale implementation of demand-response measures has the potential to play a significant role in overcoming the various issues related to electricity supply/ demand imbalances. This paper assesses various building energy modelling techniques and compares them using a schematic representation; the integration of the building models into a demand response scheme is then addressed and guidelines are given for different contexts. From the review carried out, the paper highlights the need to develop demand-response estimation tools at a large-scale taking into account the buildings characteristics. An outlook is given on a proposed method for large-scale demand response estimation. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:3391 / 3396
页数:6
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