The residential sector represents some 30% of global electricity consumption but the underlying composition and drivers are still only poorly understood. The drivers are many, varied, and complex, including local climate, household demographics, household behaviour, building stock and the type and number of appliances.
The impact of low-speed filtration on the performance of salt water chlorinators, pool cleaners, and the pool water quality, based on experimental and modelled data, is investigated. Results show that a typical salt water chlorinator and pressure pool cleaner do not work well for flow rates of less than 1 litre s -1 and 1.3 litre s -1 respectively.
Cost effective reduction of electricity demand in residential sector is a significant problem worldwide. Feedback intervention is a hot area that possesses considerable potential for achieving electricity saving. However, how to make feedback intervention more effective deserves to be properly explored.
The photovoltaic thermal (PV/T) driven desiccant air cooling process could be a good solution to the conventional air cooling cycle in terms of energy saving, where the latent cooling load would be removed adiabatically. However, problems exist where the required desiccant regeneration temperature (60oC - 80oC) often exceeds the outlet fluid temperature from standard PV/T collectors.
Desiccant wheel based air-conditioning systems (DWAC) include a desiccant wheel component that performs latent cooling coupled to another component, for example an indirect evaporative cooler (IEC also known as a dew point evaporative cooler), that performs the sensible cooling without adding moisture into the air flow.
Research activities previously performed on shorter simulation timeframe had shown that building-integrated photovoltaic/thermal double-skin façade (BIPV/T-DSF) could maintain a comfort temperature within a building, by adopting a fan-assisted ventilated air cavity in summer, and a non-ventilated air cavity during winter in order to reduce overheating phenomena in the air cavity and consequentl
Smart grid components such as smart home and battery energy management systems, high penetration of renewable energy systems, and demand response activities, require accurate electricity demand forecasts for the successful operation of the electricity distribution networks.
Smart meter data can be used for various purposes within smart grids, including residential energy applications, such as Home Energy Management Systems (HEMS) and Battery Energy Management Systems (BEMS).