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Al-Kheetan, M J, Rahman, M M and Chamberlain, D A (2018) Remediation and protection of masonry structures with crystallising moisture blocking treatment. International Journal of Building Pathology and Adaptation, 36(01), 77–92.
Ali, A S, Azmi, N F and Baaki, T K (2018) Cost performance of building refurbishment works: the case of Malaysia. International Journal of Building Pathology and Adaptation, 36(01), 41–62.
Andersen, L P, Nørdam, L, Joensson, T, Kines, P and Nielsen, K J (2018) Social identity, safety climate and self-reported accidents among construction workers. Construction Management and Economics, 36(01), 22-31.
Bourgeois, D, Reinhart, C F and Ward, G (2008) Standard daylight coefficient model for dynamic daylighting simulations. Building Research & Information, 36(01), 68–82.
- Type: Journal Article
- Keywords: Daylight coefficient; daylighting; energy; Industry Foundation Class (IFC); simulation
- ISBN/ISSN: 0961-3218
- URL: http://www.informaworld.com/openurl?genre=article&issn=0961-3218&volume=36&issue=1&spage=68
- Abstract:
Daylight coefficients are normalized contributions from discretized sky or ground segments, or preset solar positions, to solar quantities calculated at various building sensor points. Once generated, daylight coefficients can be folded against luminance efficacy and distribution models to calculate, for instance, time series of illuminances. Over about the last 25 years several daylight coefficient models have been published. The objective of this paper is to propose a standard daylight coefficient model for dynamic daylighting simulations (DDS), consolidating previously published methods. This entails the definition of a standard daylight coefficient data format and accompanying software concepts for dynamic simulation purposes; dynamic in this context meaning variable with time due to changing sky conditions and shading device settings, in contrast to static modelling concepts such as daylight factors. The DDS standard model defines daylight coefficient data independent of building location and scene orientation, and generated using either simulation or measurement. It provides functionality to take into account independently controlled daylighting sources (e.g. windows and skylights) and to query different daylighting quantities in a simulation context (e.g. illuminance at one or more sensors, annual daylight performance metrics). A Radiance-based intermodel comparison shows that DDS-based software outperforms the original validated Daysim approach, upon which DDS is based, notably in cases where sensors are subjected to sudden changes in solar exposure, e.g. in an urban canyon or for sensors located far from a window. The proposed DDS standard daylight coefficient model, including the data format and accompanying software concepts, can be adopted by daylighting and energy-simulation software as a common mechanism for efficiently sharing daylight coefficient data for simulation purposes.
Enshassi, A, Ayash, A and Mohamed, S (2018) Key barriers to the implementation of energy-management strategies in building construction projects. International Journal of Building Pathology and Adaptation, 36(01), 15–40.
Gaspar, P L and Brito, J D (2008) Service life estimation of cement-rendered facades. Building Research & Information, 36(01), 44–55.
Hietajärvi, A-M and Aaltonen, K (2018) The formation of a collaborative project identity in an infrastructure alliance project. Construction Management and Economics, 36(01), 1-21.
Hosseini, M R, Roelvink, R, Papadonikolaki, E, Edwards, D J and Pärn, E (2018) Integrating BIM into facility management. International Journal of Building Pathology and Adaptation, 36(01), 2–14.
Lindelöf, D and Morel, N (2008) Bayesian estimation of visual discomfort. Building Research & Information, 36(01), 83–96.
Ogbeifun, E, Mbohwa, C and Pretorius, J C (2018) Developing an effective renovation plan: the influence of data collection tools. International Journal of Building Pathology and Adaptation, 36(01), 63–76.
Opawole, A and Jagboro, G O (2018) Compensation mechanisms for minimizing private party risks in concession-based public-private partnership contracts. International Journal of Building Pathology and Adaptation, 36(01), 93–120.
Pan, W, Gibb, A G F and Dainty, A R J (2008) Leading UK housebuilders' utilization of offsite construction methods. Building Research & Information, 36(01), 56–67.
Peltokorpi, A, Olivieri, H, Granja, A D and Seppänen, O (2018) Categorizing modularization strategies to achieve various objectives of building investments. Construction Management and Economics, 36(01), 32-48.
Pivo, G (2008) Responsible property investment criteria developed using the Delphi Method. Building Research & Information, 36(01), 20–36.
Sha, K, Yang, J and b, R S (2008) Competitiveness assessment system for China's construction industry. Building Research & Information, 36(01), 97–109.
Sundquist, V, Gadde, L-E and Hulthén, K (2018) Reorganizing construction logistics for improved performance. Construction Management and Economics, 36(01), 49-65.
Tam, V W Y and Tam, C M (2008) Waste reduction through incentives: a case study. Building Research & Information, 36(01), 37–43.
Yang, W and Kohler, N (2008) Simulation of the evolution of the Chinese building and infrastructure stock. Building Research & Information, 36(01), 1–19.