The role of DSM + C to facilitate the integration of renewable energy and low carbon energy technologies

Tools

Clarke, Joseph Andrew and Hong, Jun and Johnstone, Cameron and Kelly, Nicolas; Jiang, Y and Zhu, Y.X. and Yang, X.D. and Li, X.T., eds. (2007) The role of DSM + C to facilitate the integration of renewable energy and low carbon energy technologies. In: Building simulation 2007 proceedings. Tsinghua University Press, Beijing, pp. 1653-1660. ISBN 9780977170630

Full text not available in this repository.Request a copy

Abstract

Recent legislation and building regulations have aiming to reduce the energy demands of buildings and include renewable based micro-generation technologies. Due to the variations in energy delivery from these technologies, optimised control over building plant and loads is essential if we are to achieve a good demand-supply match and achieve a reduction in energy demands. This paper reports on research being undertaken as part of the UK EPSRC SuperGen Future Networks programme, specifically relating to the development of algorithms for simulating dynamic demand side control strategies to identify demand-supply matching options when deploying building integrated renewable energy and low carbon technologies. The development of demand side management and control (DSM+c) is a means to improve the dynamic demand-supply match taking account of the available demand side management capacity and time of occurrence. The principle of the developed DSM+c algorithms is to maximise the available control capacity which will enable a better demand-supply match while minimising any impact on users. This paper will demonstrate the application of DSM+c to improve the energy efficiency of a building (e.g. reduced total capacity), restructure the demand pattern via load shifting and switching (e.g. on/off or proportional control) to one more favourable to building integrated renewables. The impact of different control strategies on demand profile restructuring will be demonstrated using simulation to alter the settings of the DSM+c parameters - such as priority, methods and periods - for a given demand profile. The paper will conclude by presenting the outcomes from a case study using the decision support/design tool, MERIT where the developed DSM+c algorithms have been implemented to better facilitate the match between demand and building integrated clean energy supply technologies at the individual multi-familiy building level.

ORCID iDs

Clarke, Joseph Andrew ORCID logoORCID: https://orcid.org/0000-0002-4783-5107, Hong, Jun, Johnstone, Cameron ORCID logoORCID: https://orcid.org/0000-0001-5171-1230 and Kelly, Nicolas ORCID logoORCID: https://orcid.org/0000-0001-6517-5942; Jiang, Y, Zhu, Y.X., Yang, X.D. and Li, X.T.
CORE (COnnecting REpositories)