ERU - 2013

Permanent URI for this collectionhttp://192.248.9.226/handle/123/14694

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Browsing ERU - 2013 by Author "Attalage, RA"

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    Intelligent lighting controller for domestic and office environments
    (2013) Wijesuriya, WASI; Perera, AHP; Gayan, JMU; Attalage, RA; Dassanayake, VPC
    The use of natural light instead of artificial light to conduct activities has been shown to havepositive physical and psychological effects in humans. Thus the growing trend of incorporating natural light in office spaces and households has created a need for control between the sources of natural and artificial light. Providing autonomous adequate natural light when it is present and compensating when the light level does not meet the required level, is the primary task of such controllers. Furthermore, saving energy by operating intelligently according to user presence and demand is the other aspect such controllers strive to achieve. The aim of the project is to develop a system which addresses aspects of controlling both natural and artificial light inside a room efficiently and at the same time being cost effective in installation. The project aims to develop a system which is adapted to conditions found in Sri Lanka and to research on the preference of light levels in defined groups of people (consisting of Sri Lankans). After which a mathematical model is developed to achieve the aforementioned criteria of balancing light sources to a user.
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    Optimization methodologies for building performance modeling and optimization
    (2013) Bandara, RMPS; Attalage, RA
    Buildings account for approximately 40% of the global energy consumption and 36% of total carbon dioxide emissions. At present, high emphasis is given on the reduction of energy consumption and carbon footprint by optimizing the performance and resource utilization of buildings to achieve sustainable development. Building performance is analyzed in terms of energy performance, indoor environment for human comfort & health, environmental degradation and economic aspects. As for the energy performance analysis, this can be best modeled and optimized by a whole building energy simulation tool coupled with an appropriate optimization algorithm. Building performance optimization problems are inherently multivariate and multi-criteria. Optimization methodologies with different characteristics that are broadly classified as Adaptive, Non-adaptive and Pareto Algorithms can be applied in this regard. The paper discusses the applicability of the aforementioned optimization methodologies in building performance optimization for achieving realistic results.