Electricity storage within the domestic sector as a means to enable renewable energy integration within existing electricity networks

With the present drive to add renewable generation capacity to existing electrical networks, utility providers are seeking ways to store electrical energy as a means of prioritising renewable sources against an unfavourable load profile. One way to do this is through electrical storage heaters and hot water systems within the domestic sector.

Development of a high-order discontinuous Galerkin method for the DNS and LES of natural convection flows in buildings.

This paper discusses the use of a high-resolution code based on the discontinuous Galerkin method (DGM) for the direct numerical simulation (DNS) of natural convection flows in buildings. The high order of ac-curacy, combined to geometric flexibility and paral-lel scalability of DGM, provide - on paper - an ideal method for this type of simulation.

Simulation speedup techniques for computationally demanding tasks

The computational cost for the repeated evaluation of zonal-type building simulation models can be pro-hibitive especially in contexts, such as Building Opti-mization and Control Design, where repeated evalua-tion of the models — for different initial and bound-ary conditions — is required.

Urban heat island in Boston – an evaluation of urban air temperature models for predicting building energy use

The Urban Heat Island (UHI) effect is a well-documented phenomenon, in which the air-temperature in an urban area is elevated relative to the regional air-temperature.  This paper evaluates two recently developed methods for generating urban weather files from a rural station that account for microclimatic impacts on dry-bulb temperature and relative humidity.  The two methods examined are computationally inexpensive.  The first method is the urban weather generator (UWG) a model developed by Bueno et al.

Simulation of domestic heat demand shifting through short-term thermal storage

Heat demand management through demand shifting will be crucial to enable load balancing in a future electricity grid with large domestic heating loads.  Using dynamic models, in IES-VE and TRNSYS, of a 2-bedroom dwelling with typical operational schedules, this research demonstrated that a mixture of active and passive Thermal Energy Storage (TES) within the existing building infrastructure could enable up to 4 hours of heat demand shifting, without significantly affecting the indoor thermal comfort.

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