High-resolution stochastic integrated thermal-electrical domestic demand model

被引:217
作者
McKenna, Eoghan [1 ]
Thomson, Murray [1 ]
机构
[1] Univ Loughborough, Wolfson Sch Mech Mfg & Elect Engn, CREST, Loughborough LE11 3TU, Leics, England
基金
英国工程与自然科学研究理事会;
关键词
Domestic; Energy use; Thermal demand; Energy demand model; High-resolution; Stochastic; BUILDING OCCUPANCY MODEL; ENERGY SYSTEM MODELS; RESIDENTIAL SECTOR; SOCIAL PRACTICE; SIMULATION; HEAT; CONSUMPTION; IMPACT;
D O I
10.1016/j.apenergy.2015.12.089
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper describes the extension of CREST's existing electrical domestic demand model into an integrated thermal-electrical demand model. The principle novelty of the model is its integrated structure such that the timing of thermal and electrical output variables are appropriately correlated. The model has been developed primarily for low-voltage network analysis and the model's ability to account for demand diversity is of critical importance for this application. The model, however, can also serve as a basis for modelling domestic energy demands within the broader field of urban energy systems analysis. The new model includes the previously published components associated with electrical demand and generation (appliances, lighting, and photovoltaics) and integrates these with an updated occupancy model, a solar thermal collector model, and new thermal models including a low-order building thermal model, domestic hot water consumption, thermostat and timer controls and gas boilers. The paper reviews the state-of-the-art in high-resolution domestic demand modelling, describes the model, and compares its output with three independent validation datasets. The integrated model remains an open-source development in Excel VBA and is freely available to download for users to configure and extend, or to incorporate into other models. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:445 / 461
页数:17
相关论文
共 71 条
[1]   A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison [J].
Aerts, D. ;
Minnen, J. ;
Glorieux, I. ;
Wouters, I. ;
Descamps, F. .
BUILDING AND ENVIRONMENT, 2014, 75 :67-78
[2]  
[Anonymous], HIGH RESOLUTION INTE
[3]  
[Anonymous], BAUSIM 2014
[4]  
[Anonymous], P 3 BEH EN C OXF UK
[5]  
[Anonymous], J BUILD PERFORM SIMU
[6]  
[Anonymous], INN SMART GRID TECHN
[7]  
[Anonymous], 2012, ASS IMP LOW CARB TEC
[8]  
[Anonymous], MET OFF HADL CTR CEN
[9]  
[Anonymous], APPL ENERGY
[10]  
[Anonymous], 2015, ENERGYPLUS