TY - JOUR
T1 - A stochastic multi-energy simulation model for UK residential buildings
AU - McKenna, R.
AU - Hofmann, L.
AU - Kleinebrahm, M.
AU - Fichtner, W.
N1 - The authors would like to thank two anonymous reviewers for their constructive criticism on an earlier version of this manuscript. The contribution of Max Kleinebrahm was supported by the Helmholtz Association of German Research Centres under the Joint Initiative "Energy System Integration". The usual disclaimer applies.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - Residential buildings account for significant proportions of energy demand and greenhouse gas emissions. The dwelling and occupants together have a strong impact on the temporal characteristics of energy demand. This paper presents and validates a new stochastic electricity, space heating (SH) and domestic hot water (DHW) model for UK residential buildings, called CREST Heat and Power (CHAP). The open source model is easily adaptable to over 14,000 different building configurations, which represent the UK residential building stock. A validation with empirical data on domestic hot water, gas demand, and internal temperatures demonstrates the accuracy of the new SH and DHW parts of the model. Notwithstanding some uncertainties in extracting the DHW run-off profiles, the energy consumption, water volume, and the dependency on the number of residents are all well considered. The CHAP model produces mean SH, DHW and temperature profiles that are broadly in agreement with the employed field studies. Future work should focus on the consideration of appliances at the heat/power interface, improving the DHW calibration and extending the approach to other national contexts.
AB - Residential buildings account for significant proportions of energy demand and greenhouse gas emissions. The dwelling and occupants together have a strong impact on the temporal characteristics of energy demand. This paper presents and validates a new stochastic electricity, space heating (SH) and domestic hot water (DHW) model for UK residential buildings, called CREST Heat and Power (CHAP). The open source model is easily adaptable to over 14,000 different building configurations, which represent the UK residential building stock. A validation with empirical data on domestic hot water, gas demand, and internal temperatures demonstrates the accuracy of the new SH and DHW parts of the model. Notwithstanding some uncertainties in extracting the DHW run-off profiles, the energy consumption, water volume, and the dependency on the number of residents are all well considered. The CHAP model produces mean SH, DHW and temperature profiles that are broadly in agreement with the employed field studies. Future work should focus on the consideration of appliances at the heat/power interface, improving the DHW calibration and extending the approach to other national contexts.
UR - http://www.scopus.com/inward/record.url?scp=85044763802&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2018.02.051
DO - 10.1016/j.enbuild.2018.02.051
M3 - Article
AN - SCOPUS:85044763802
SN - 0378-7788
VL - 168
SP - 470
EP - 489
JO - Energy and Buildings
JF - Energy and Buildings
ER -
