Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alina Walch"'
Autor:
Xiaojin Zhang, Alina Walch, Martin Rüdisüli, Christian Bauer, Peter Burgherr, Russell McKenna, Guillaume Habert
Publikováno v:
Environmental Research: Infrastructure and Sustainability, Vol 4, Iss 4, p 045002 (2024)
The transition to renewable energy sources is pivotal in addressing global climate change challenges, with rooftop solar photovoltaic (PV) systems playing a crucial role. For informed decision-making in energy policy, it is important to have a compre
Externí odkaz:
https://doaj.org/article/138b8d7e6b684eee893135ca8d071fa5
Autor:
Nahid Mohajeri, Alina Walch, Agust Gudmundsson, Clare Heaviside, Sadaf Askari, Paul Wilkinson, Michael Davies
Publikováno v:
Buildings & Cities, Vol 2, Iss 1 (2021)
In 2020, Covid-19-related mobility restrictions resulted in the most extensive human-made air-quality changes ever recorded. The changes in mobility are quantified in terms of outdoor air pollution (concentrations of PM2.5 and NO2) and the associated
Externí odkaz:
https://doaj.org/article/aafd1203ab50452f9e07bf6c68e2e0b5
Autor:
Nahid Mohajeri, Alina Walch, Alison Smith, Agust Gudmundsson, Dan Assouline, Tom Russell, Jim Hall
Regional-scale urban residential densification provides an opportunity to tackle multiple challenges of sustain-ability in cities. But framework for detailed large-scale analysis of densification potentials and their integration with natural capital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ab55111ae8895e0fdb7fe9eb3bf492
https://ora.ox.ac.uk/objects/uuid:48909105-14b0-4d12-aff9-547780199b7d
https://ora.ox.ac.uk/objects/uuid:48909105-14b0-4d12-aff9-547780199b7d
Autor:
Federico Amato, Fabian Guignard, Alina Walch, Nahid Mohajeri, Jean-Louis Scartezzini, Mikhail Kanevski
Publikováno v:
Amato, Federico; Guignard, Fabian; Walch, Alina; Mohajeri, Nahid; Scartezzini, Jean-Louis; Kanevski, Mikhail (2022). Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential. Stochastic environmental research and risk assessment, 36(8), pp. 2049-2069. Springer 10.1007/s00477-022-02219-w
Stochastic Environmental Research and Risk Assessment, 36 (8)
Stochastic Environmental Research and Risk Assessment, 36 (8)
With wind power providing an increasing amount of electricity worldwide, the quantification of its spatio-temporal variations and the related uncertainty is crucial for energy planners and policy-makers. Here, we propose a methodological framework wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e0539ddd46452692d5e5e506f2ee7b
https://boris.unibe.ch/172984/1/s00477-022-02219-w.pdf
https://boris.unibe.ch/172984/1/s00477-022-02219-w.pdf
Autor:
Alina Walch, Xiang Li, Jonathan Chambers, Nahid Mohajeri, Selin Yilmaz, Martin Patel, Jean-Louis Scartezzini
Publikováno v:
Energy, Vol. 244 (2022) P. 123086
Shallow ground-source heat pumps (GSHPs) are a promising technology for contributing to the decarbonisation of the energy sector. In heating-dominated climates, the combined use of GSHPs for both heating and cooling increases their technical potentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521583d06813c6df8124bd04c0aa579e
http://arxiv.org/abs/2112.01183
http://arxiv.org/abs/2112.01183
To fulfil ambitious targets for reducing CO2-emissions in the building sector, the design of new neighbourhoods or the retrofitting of existing buildings requires an increasingly high use of renewable energy (REN). The coupling of heat and electricit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ce4856f5fd0866771381a63c2a7a90
https://doi.org/10.5194/egusphere-egu21-13411
https://doi.org/10.5194/egusphere-egu21-13411
Wind energy is a promising renewable resource to contribute to the energy transition in many parts of the world. In contrast to solar power, it is available at any time of the day; however, it is highly variable and complex to model. This poses chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0492e125e2bbfd1c0c2f5a0b02ffd19a
https://doi.org/10.5194/egusphere-egu21-4581
https://doi.org/10.5194/egusphere-egu21-4581
Autor:
Jean-Louis Scartezzini, Shasha Jiang, Alina Walch, Raphaël Attias, Roberto Castello, Riccardo Cadei
Publikováno v:
Journal of Physics: Conference Series. 2042:012002
The integration of solar technology in the built environment is realized mainly through rooftop-installed panels. In this paper, we leverage state-of-the-art Machine Learning and computer vision techniques applied on overhead images to provide a geo-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0080f655ec34675981180c44ed66b82f
https://doi.org/10.1088/1742-6596/2042/1/012002
https://doi.org/10.1088/1742-6596/2042/1/012002
Publikováno v:
Journal of Physics: Conference Series. 2042:012010
The increasing use of ground-source heat pumps (GSHPs) for heating and cooling of buildings raises questions regarding the technical potential of GSHPs and their impact on the temperature in the shallow subsurface. In this paper, we develop a method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cabe76c4c7218a19826c29cdca82bfe
https://doi.org/10.1088/1742-6596/2042/1/012010
https://doi.org/10.1088/1742-6596/2042/1/012010
Publikováno v:
Journal of Physics: Conference Series. 2042:012011
The spatio-temporal patterns of the existing rooftop photovoltaic (PV) production can provide valuable insights for the design of effective strategies for PV integration at large scale. In this work, we quantify the hourly production of existing roof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42cf3abc1221709d973bd70293e5770c
https://doi.org/10.1088/1742-6596/2042/1/012011
https://doi.org/10.1088/1742-6596/2042/1/012011