2015
DOI: 10.1016/j.apenergy.2014.10.028
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High resolution modelling of multi-energy domestic demand profiles

Abstract: Highlights High resolution multi-energy model (electricity, heat, gas) for domestic buildings is presented  Domestic energy services considered are space heating, domestic hot water, cooking, and electrical appliances (including lighting)  Model includes accurate assessment of thermal inertia of different components for heat production, distribution and utilization  Potential of the model for various network and market applications to current and future electro thermal technologies is demonstrated

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Cited by 100 publications
(75 citation statements)
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“…However, due to the computational burden of modelling more than 500 houses, the reserve capacities modelled fall short of the minimum requirements for both these markets. Results may nonetheless be scaled up to large cluster sizes due to the coincidence factor for 500 houses being near its asymptotic maximum [10].…”
Section: Case Studymentioning
confidence: 99%
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“…However, due to the computational burden of modelling more than 500 houses, the reserve capacities modelled fall short of the minimum requirements for both these markets. Results may nonetheless be scaled up to large cluster sizes due to the coincidence factor for 500 houses being near its asymptotic maximum [10].…”
Section: Case Studymentioning
confidence: 99%
“…The model is composed of physically-based energy-consumption modules, incorporating space heating, domestic hot water (DHW), and cooking models. Space heating demand is determined using an electrical analogue model with four nodes, as described in [10]. These nodes represent the key components of a typical UK domestic dwelling: indoor environment (such as air and furniture), internal wall, inner and outer parts of external wall.…”
Section: A Domestic Energy Consumption Modelmentioning
confidence: 99%
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“…& While activities can involve any number of associated appliances, appliances are assumed to be associated with one activity only Good et al, 2015b;Muratori et al, 2013;Richardson et al, 2010;Widén & Wäckelgård, 2010) and this precludes their usage in association with another activity. & Appliances are not considered to be 'switched on' unless their associated activity is taking place.…”
Section: Assumption 1: Appliances Are Directly Linked To Activitiesmentioning
confidence: 99%
“…Each dwelling, for every modelled day, is assigned a realistic, randomly generated DHW, base (non-heat related) electricity and occupancy profile [15], [16]. All profiles are based on UK parameters.…”
Section: A Districtmentioning
confidence: 99%