Studies have shown that long-term (e.g., annual or seasonal) predictions of daylight availability which do not take into account the luminance distribution of the sky for each single time-step show considerable differences from long-xterm predictions based on time and direction-dependent luminance distributions. However, with contemporary lighting simulation tools the latter can easily require computation times in the order of days. This paper presents two computation techniques that can be incorporated into any radiosity algorithm and that result in a reduction of computation times to the order of seconds for long-term simulations.
Access to this document was granted through an Emerald subscription provided by emerald-srm:333301 []
For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.
About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract This paper discusses how project management styles and methods impact on energy conscious design decisions by building design teams. Within the broad field of energy conscious design the emphasis of this paper is on the selection of energy saving technologies in appropriately configured building components. The premise of the research is that these selections are not well rationalized. Choices of energy saving features in current practice are discussed against the background of available computational tools and the way these tools are used (or not) to enhance the decision-making process. Through empirical data gathering based on case studies, improved project management techniques that enable a more timely and rational selection of energy saving technologies will be identified. A follow-up research project that implements the findings in an operational design system is briefly presented to sketch the practical implications of the reported research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.