D
Dino Bouchlaghem
Researcher at Nottingham Trent University
Publications - 119
Citations - 3057
Dino Bouchlaghem is an academic researcher from Nottingham Trent University. The author has contributed to research in topics: Information technology & Building design. The author has an hindex of 21, co-authored 119 publications receiving 2845 citations. Previous affiliations of Dino Bouchlaghem include Pennsylvania State University & Loughborough University.
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Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap
Anna Carolina Kossmann de Menezes,Anna Carolina Kossmann de Menezes,Andrew Cripps,Dino Bouchlaghem,Richard A. Buswell +4 more
TL;DR: In this paper, a case study focused specifically on lighting, small power and catering equipment in a high density office building is analyzed and presented, showing that by combining monitoring data with predictive energy modelling, it was possible to increase the accuracy of the model to within 3% of actual electricity consumption values.
Predicted vs. Actual Energy Performance of Non-Domestic Buildings
TL;DR: In this article, a case study focused on lighting, small power and catering equipment in a high density office building is presented, where the authors demonstrate how knowledge acquired from post-Occupancy Evaluation (POE) can be used to produce more accurate energy performance models.
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Visualisation in architecture, engineering and construction (AEC)
TL;DR: Findings are presented from three research projects that made use of some of these techniques at various stages of the process: for collaborative working during concept design stage, for design development and marketing in the house building sector, and for the modeling of design details during the construction stage.
Journal ArticleDOI
Estimating the energy consumption and power demand of small power equipment in office buildings
Anna Carolina Kossmann de Menezes,Anna Carolina Kossmann de Menezes,Andrew Cripps,Richard A. Buswell,Jonathan A. Wright,Dino Bouchlaghem +5 more
TL;DR: In this paper, two models for estimating small power consumption in office buildings, alongside typical power demand profiles, were proposed, one relying solely on the random sampling of monitored data, and the second relying on a bottom-up approach to establish likely power demand and operational energy use.
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Ensuring the effectiveness of a knowledge management initiative
TL;DR: A set of critical success factors, which ensure the effectiveness of knowledge management initiatives, with particular focus on the effect of people‐oriented success factors are identified.