Energy simulations of a transparent-insulated office facade retrofit in London, UK

Purpose – Transparent insulation materials (TIMs) have been developed for application to building facades to reduce heating energy demands of a building. The purpose of this research is to investigate the feasibility of TI-applications for high-rise and low rise office buildings in London, UK, to reduce heating energy demands in winter and reduce overheating problems in summer. Design/methodology/approach – The energy performance of these office building models was simulated using an energy simulation package, Environmental Systems Performance-research (ESP-r), for a full calendar year. The simulations were initially performed for the buildings with conventional wall elements, prior to those with TI-systems (TI-walls and TI-glazing) used to replace the conventional wall elements. Surface temperatures of the conventional wall elements and TI-systems, air temperature inside the 20mm wide air gaps in the TI-wall, dry-bulb zone temperature and energy demands required for the office zones were predicted. Findings – Peak temperatures of between 50 and 70°C were predicted for the internal surface of the TI-systems, which clearly demonstrated the large effect of absorption of solar energy flux by the brick wall mass with an absorptivity of 90 percent behind the TIM layer. In the office zones, the magnitude of temperature swings during daytime was reduced, as demonstrated by a 10 to 12 h delay in heat transmission from the external façade to the office zones. Such reduction indicates the overheating problems could be reduced potentially by TI-applications. Originality/value – This research presents the scale and scope of design optimisation of TI-systems with ESP-r simulations, which is a critical process prior to applications to real buildings

Risk management implementation in small and medium enterprises in the UK construction industry

Purpose – The competition and challenges facing construction firms during the recent recession have brought risk management (RM) to the fore in people’s minds. Examination of the difficulties of implementing RM in small and medium enterprises (SMEs) in the UK construction industry has been relatively untouched. The paper aims to discuss these issues. Design/methodology/approach – As part of on-going research to facilitate RM processing aimed at improving the competitiveness of SMEs, the difficulties in RM implementation were identified through a literature review of RM implementation in SMEs. Postal questionnaire were sent to SMEs who have experience of construction management. Findings – Of the 153 of SMEs responding, most highlighted that the main difficulty experienced is how to scale RM process to meet their requirements. None of the available standards explain the fundamental principle of applying RM to the situations that SMEs find themselves in. This difficulty is further exacerbated by a lack of management skills and knowledge in the adoption of RM tools or techniques to identify and analyse the business’ risks. Originality/value – The identified difficulties can be considered to develop a process to facilitate RM process within SMEs. </jats:sec

Cloud computing for energy management in smart grid - an application survey

The smart grid is the emerging energy system wherein the application of information technology, tools and techniques that make the grid run more efficiently. It possesses demand response capacity to help balance electrical consumption with supply. The challenges and opportunities of emerging and future smart grids can be addressed by cloud computing. To focus on these requirements, we provide an in-depth survey on different cloud computing applications for energy management in the smart grid architecture. In this survey, we present an outline of the current state of research on smart grid development. We also propose a model of cloud based economic power dispatch for smart grid

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Optimum and cost effective transparent insulation systems for office building applications in temperate and tropical climates

EThOS - Electronic Theses Online ServiceGBUnited Kingdo