Experimental investigation of a Recursive Modelling MPC system for space heating within an occupied domestic dwelling

被引:11
作者
Rogers, Dan [1 ]
Foster, Martin [1 ]
Bingham, Chris [2 ]
机构
[1] Univ Sheffield, EMD Grp, Sheffield S1 3JD, S Yorkshire, England
[2] Lincoln Univ, Sch Engn, Lincoln LN6 7TS, England
基金
英国工程与自然科学研究理事会;
关键词
Model predictive control; HVAC; Modelling; Domestic; PREDICTIVE CONTROL; ENERGY MANAGEMENT; BUILDINGS;
D O I
10.1016/j.buildenv.2013.11.014
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A key contributor to excessive energy usage in UK domestic dwellings is the poor temperature regulation of fluid filled heat emitters that form the most common constituent of central heating systems. This is in-part due to oversizing of the heat emitters, and deficiencies in localised closed-loop temperature control. In an attempt to address this, Controllable Radiator Valves (CRVs) are becoming an increasingly popular domestic technology with the ability to allow previously unrealisable control schemes to operate the traditional central heating system with minimal mechanical modification. Following previous reported work, therefore, this paper presents a new family of Recursive Modelling Model Predictive Controllers (RM-MPCs) for use with low cost thermic CRVs. The ability of the presented control methodologies to maintain superior temperature regulation despite the use of oversized heat emitters, is a key contribution of the paper. Furthermore, unlike previously reported techniques, the underlying recursive modelling method has been reformulated so that traditional parameter matching calculations do not now require a computationally intensive curve fitting stage. A comparison of techniques is included using experimental measurements from both an oversized oil filled heat emitter within a test chamber, and also from BS EN 442 water-filled heat emitters within an occupied dwelling. Results show the proposed methodologies can be realised using more cost-effective thermoelectric valves, whilst providing superior set point tracking. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:356 / 367
页数:12
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