Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Amarasinghage Tharindu Dasun Perera"'
Autor:
Karni Siraganyan, Amarasinghage Tharindu Dasun Perera, Jean-Louis Scartezzini, Dasaraden Mauree
Publikováno v:
Energies, Vol 12, Iss 5, p 776 (2019)
Due to climate change and the need to decrease the carbon footprint of urban areas, there is an increasing pressure to integrate renewable energy and other components in urban energy systems. Most of the models or available tools do not provide both
Externí odkaz:
https://doaj.org/article/a049da84edb040c9839b3a9acf1affa0
Autor:
Amarasinghage Tharindu Dasun Perera, Tianzhen Hong, Deliang Chen, Jean-Louis Scartezzini, Vahid M. Nik
Publikováno v:
Nature Energy. 5:150-159
Climate induced extreme weather events and weather variations will affect both the demand of energy and the resilience of energy supply systems. The specific potential impact of extreme events on energy systems has been difficult to quantify due to t
Publikováno v:
Advances in Applied Energy, Vol 3, Iss, Pp 100046-(2021)
The rapid growth of urban areas and concerns over climate change make it vital to improve the energy sustainability of cities. Understanding the complex interactions within different sectors (sectoral) and localities (spatial) of cities plays a cruci
Autor:
Amarasinghage Tharindu Dasun Perera, Lucas Mosca, Nahid Mohajeri, Jean-Louis Scartezzini, Morgane Le Guen, Silvia Coccolo
Publikováno v:
Renewable Energy. 143:810-826
The integration of renewable energy in the built environment, improving the energy efficiency of buildings, and optimizing distributed energy systems are three interconnected activities that are central for the transition to sustainable cities. Here,
Autor:
Vahid M. Nik, Amarasinghage Tharindu Dasun Perera, Jean-Louis Scartezzini, P. U. Wickramasinghe
Publikováno v:
Applied Energy. 243:191-205
This study evaluates the potential of supervised and transfer learning techniques to assist energy system optimization. A surrogate model is developed with the support of a supervised learning technique (by using artificial neural network) in order t
Publikováno v:
Energy Procedia. 159:400-405
Uncertainties of demand, generation and component outage can lead to black-outs in the grid. This study proposes an optimization algorithm (based on Benders Decomposition (BD)) to optimize a Power Transmission System (PTS) that is robust to aforement
Publikováno v:
Energy Procedia. 159:358-363
Extreme climate events occur more frequently and stronger in the future due to climate change. Maintaining the energy security during extreme conditions is essential to reduce the impacts of extreme climate and avoid disasters. Resilient design of th
Autor:
Jérôme Henri Kämpf, Amarasinghage Tharindu Dasun Perera, Giuseppe Peronato, Anthony Di Blasi, Kin Ho Poon, Pietro Florio
Publikováno v:
Sustainable Cities and Society
The optimal diffusion of Building Integrated PhotoVoltaics (BIPV) in cities requires diligent planning to arrange temporal and spatial distribution of energy, while preserving the aesthetics of city landscapes. Benefitting from an increasing quality
Autor:
Amarasinghage Tharindu Dasun Perera, Beaud Muriel, Kristina Orehounig, Cai Hanmin, Andrew Bollinger
Publikováno v:
The First World Energies Forum—Current and Future Energy Issues.
The building sector plays a vital role in Switzerland’s climate policy. In order to support the energy transition in the building sector, Rolle, a suburban area located along the shore of Lake Geneva is considered in this study to understand the pr
Publikováno v:
National Science Review
Climate change and increased urban population are two major concerns for society. Moving towards more sustainable energy solutions in the urban context by integrating renewable energy technologies supports decarbonizing the energy sector and climate