Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yu Qian Ang"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Here, the authors perform analysis of technology pathways for existing buildings using urban building energy models developed with cities, showing that shallow and deep retrofits along with onsite photovoltaic and grid decarbonization can help achiev
Externí odkaz:
https://doaj.org/article/867ef34242e84e4a95c9a82d6908f800
Publikováno v:
Environmental Research: Infrastructure and Sustainability, Vol 3, Iss 4, p 045003 (2023)
With buildings accounting for 40% of global carbon emissions, cities striving to meet sustainability targets aligned with the Paris Agreement must retrofit their existing building stock within 30 years. Previous studies have shown that urban building
Externí odkaz:
https://doaj.org/article/8c58dcdb4bd8487eaab96c8c6378610d
Autor:
Yu Qian Ang, Allison Polly, Aparna Kulkarni, Gloria Bahl Chambi, Matthew Hernandez, Maha N. Haji
Publikováno v:
Renewable Energy. 201:72-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030349ace57b57f238c1260bee59ea8c
https://doi.org/10.1016/j.renene.2022.09.126
https://doi.org/10.1016/j.renene.2022.09.126
Publikováno v:
Innovative Technology at the Interface of Finance and Operations ISBN: 9783030757281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d5b6e648dad3cf694529971138751ad
https://doi.org/10.1007/978-3-030-75729-8_10
https://doi.org/10.1007/978-3-030-75729-8_10
Publikováno v:
Elsevier
© 2020 The Authors Urban building energy modeling (UBEM) is a bottom-up, physics-based approach to simulate the thermal performance of new or existing neighborhoods and cities. The field has flourished in recent years, creating increasingly robust u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::103fc0930b5a79c7692cefa6ed4a597e
https://hdl.handle.net/1721.1/134618
https://hdl.handle.net/1721.1/134618
Publikováno v:
SSRN Electronic Journal.
This chapter develops a novel approach to predict post-money valuation of startups across various regions and sectors, as well as their probabilities of success. Using startup funding data and descriptions from Crunchbase over a ten-year period, we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac44e205db8acffc15c6ecf6af1e060d
https://doi.org/10.2139/ssrn.3681682
https://doi.org/10.2139/ssrn.3681682
Autor:
Zachary Michael Berzolla, Violetta Jusiega, Yu Qian Ang, Christoph Reinhart, Samuel Letellier-Duchesne
Publikováno v:
Sustainable Cities and Society. 77:103534
Policymakers are struggling to understand what specific mixes of building retrofitting upgrades are necessary to achieve carbon emission targets. Urban building energy modeling (UBEM) is a bottom-up simulation method to develop policy measures for bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a14d9b668fb8a668329fe02471e537eb
https://doi.org/10.1016/j.scs.2021.103534
https://doi.org/10.1016/j.scs.2021.103534
Publikováno v:
Building and Environment. 207:108108
Urban building energy and daylight modeling are bottom-up, physics-based approaches to simulate the thermal and daylight performance of neighborhoods and cities. The field has flourished in recent years due to a wider accessibility of urban data sets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d64312193e80dc91c6f6e7a9ae5708c
https://doi.org/10.1016/j.buildenv.2021.108108
https://doi.org/10.1016/j.buildenv.2021.108108
Publikováno v:
Building and Environment. 192:107601
Weather data is a crucial input for myriad applications in the built environment, including building energy modeling and daylight analysis. Building science practitioners and researchers have been able to select from a variety of weather files, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a379ffeb08b44a25ab7b57658085449c
https://doi.org/10.1016/j.buildenv.2021.107601
https://doi.org/10.1016/j.buildenv.2021.107601