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Author

Christoph Reinhart

Other affiliations: National Research Council, Harvard University, Trent University  ...read more
Bio: Christoph Reinhart is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Daylighting & Daylight. The author has an hindex of 37, co-authored 122 publications receiving 7627 citations. Previous affiliations of Christoph Reinhart include National Research Council & Harvard University.


Papers
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Journal ArticleDOI
01 Jul 2006-Leukos
TL;DR: In this paper, a review of previously suggested dynamic daylight performance metrics, discussing the capability of these metrics to lead to superior daylighting designs and their accessibility to nonsimulation experts, is presented.
Abstract: The objective of this document is to promote the use of dynamic daylight performance measures for sustainable building design. The paper initially explores the shortcomings of conventional, static daylight performance metrics which concentrate on individual sky conditions, such as the common daylight factor. It then provides a review of previously suggested dynamic daylight performance metrics, discussing the capability of these metrics to lead to superior daylighting designs and their accessibility to nonsimulation experts. Several example offices are examined to demonstrate the benefit of basing design decisions on dynamic performance metrics as opposed to the daylight factor.

680 citations

Journal ArticleDOI
TL;DR: A simulation algorithm is proposed that predicts the lighting energy performance of manually and automatically controlled electric lighting and blind systems in private and two-person offices and features four different user types to mimic variation in control behavior between different occupants.

645 citations

Journal ArticleDOI
TL;DR: The study encompasses the validation of the dynamic, RADIANCE-based daylight simulation method DAYSIM, which uses the concept of daylight coefficients and the Perez sky model to predict the short-time-step development of indoor illuminances, and it has been found that the treatment of direct sunlight strongly influences the accuracy of the daylight coefficient method.

579 citations

Journal ArticleDOI
TL;DR: In this paper, a review of emerging simulation methods and implementation workflows for bottom-up urban building energy models (UBEM) is presented, as well as an outlook for future developments.

548 citations

01 Dec 2015
TL;DR: In this article, a review of emerging simulation methods and implementation workflows for bottom-up urban building energy models (UBEM) is presented, as well as an outlook for future developments.
Abstract: Over the past decades, detailed individual building energy models (BEM) on the one side and regional and country-level building stock models on the other side have become established modes of analysis for building designers and energy policy makers, respectively. More recently, these two toolsets have begun to merge into hybrid methods that are meant to analyze the energy performance of neighborhoods, i.e. several dozens to thousands of buildings. This paper reviews emerging simulation methods and implementation workflows for such bottom-up urban building energy models (UBEM). Simulation input organization, thermal model generation and execution, as well as result validation, are discussed successively and an outlook for future developments is presented.

410 citations