M
Mauro Overend
Researcher at University of Cambridge
Publications - 113
Citations - 2317
Mauro Overend is an academic researcher from University of Cambridge. The author has contributed to research in topics: Facade & Engineering. The author has an hindex of 21, co-authored 92 publications receiving 1699 citations. Previous affiliations of Mauro Overend include National Institute of Advanced Industrial Science and Technology & University of Malta.
Papers
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Interviewing the Experts
Benedetta Marradi,Mauro Overend +1 more
TL;DR: The presented research aims to identify the major methodological issues to support the development of glass facades design process, through a survey about how facade consult- ants and experts cope with different design aspects.
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Single-nanowire spectrometers
Zongyin Yang,Tom Albrow-Owen,Hanxiao Cui,Jack A. Alexander-Webber,Fuxing Gu,Xiaomu Wang,Tien-Chun Wu,Minghua Zhuge,Calum Williams,Pan Wang,Anatoly V. Zayats,Weiwei Cai,Lun Dai,Stephan Hofmann,Mauro Overend,Limin Tong,Qing Yang,Zhipei Sun,Tawfique Hasan +18 more
TL;DR: It is shown that incident spectra can be computationally reconstructed from the different spectral response functions and measured photocurrents along the length of the nanowire, which is a practical step forward for the use of other light-sensitive nanomaterials for such ultra-miniaturized spectroscopy platforms.
Journal ArticleDOI
Review of current status, requirements and opportunities for building performance simulation of adaptive facades†
TL;DR: In this article, the authors present a review of the capabilities of five widely used building performance simulation (BPS) tools in terms of their ability to model energy and occupant comfort performance of adaptive facades.
Book
Structural Use of Glass
TL;DR: In this paper, the least squares method can be used to estimate parameters of any model, and it is shown that the least square method can estimate the number of data points included in the fit.
Journal ArticleDOI
The optimal thermo-optical properties and energy saving potential of adaptive glazing technologies
TL;DR: In this paper, the authors developed a method for devising optimal adaptive glazing properties and to evaluate the energy saving potential resulting from the adoption of such a technology, making use of an inverse performance-oriented approach, to minimize the total primary energy use of a building.