フォロー
Dr Ralph Evins
Dr Ralph Evins
Associate Professor, Energy in Cities group, University of Victoria, Canada
確認したメール アドレス: uvic.ca - ホームページ
タイトル
引用先
引用先
年
A review of computational optimisation methods applied to sustainable building design
R Evins
Renewable and sustainable energy reviews 22, 230-245, 2013
9812013
A review of modelling approaches and tools for the simulation of district-scale energy systems
J Allegrini, K Orehounig, G Mavromatidis, F Ruesch, V Dorer, R Evins
Renewable and Sustainable Energy Reviews 52, 1391-1404, 2015
6642015
Integration of decentralized energy systems in neighbourhoods using the energy hub approach
K Orehounig, R Evins, V Dorer
Applied Energy 154, 277-289, 2015
3702015
Surrogate modelling for sustainable building design–A review
P Westermann, R Evins
Energy and Buildings 198, 170-186, 2019
2852019
Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout
B Morvaj, R Evins, J Carmeliet
Energy 116, 619-636, 2016
2462016
New formulations of the ‘energy hub’model to address operational constraints
R Evins, K Orehounig, V Dorer, J Carmeliet
Energy 73, 387-398, 2014
2042014
Optimization framework for distributed energy systems with integrated electrical grid constraints
B Morvaj, R Evins, J Carmeliet
Applied energy 171, 296-313, 2016
1852016
Multi-level optimization of building design, energy system sizing and operation
R Evins
Energy 90, 1775-1789, 2015
1802015
Towards an energy sustainable community: An energy system analysis for a village in Switzerland
K Orehounig, G Mavromatidis, R Evins, V Dorer, J Carmeliet
Energy and Buildings 84, 277-286, 2014
1332014
Decarbonizing the electricity grid: The impact on urban energy systems, distribution grids and district heating potential
B Morvaj, R Evins, J Carmeliet
Applied Energy 191, 125-140, 2017
1262017
Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials
C Waibel, R Evins, J Carmeliet
Applied Energy 242, 1661-1682, 2019
1212019
Building energy optimization: An extensive benchmark of global search algorithms
C Waibel, T Wortmann, R Evins, J Carmeliet
Energy and Buildings 187, 218-240, 2019
1132019
Reducing computation time with a rolling horizon approach applied to a MILP formulation of multiple urban energy hub system
JF Marquant, R Evins, J Carmeliet
Procedia Computer Science 51, 2137-2146, 2015
1022015
Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data
P Westermann, C Deb, A Schlueter, R Evins
Applied Energy 264, 114715, 2020
962020
A case study exploring regulated energy use in domestic buildings using design-of-experiments and multi-objective optimisation
R Evins, P Pointer, R Vaidyanathan, S Burgess
Building and Environment 54, 126-136, 2012
922012
A holarchic approach for multi-scale distributed energy system optimisation
JF Marquant, R Evins, LA Bollinger, J Carmeliet
Applied energy 208, 935-953, 2017
822017
Using a deep temporal convolutional network as a building energy surrogate model that spans multiple climate zones
P Westermann, M Welzel, R Evins
Applied Energy 278, 115563, 2020
742020
Simulating external longwave radiation exchange for buildings
R Evins, V Dorer, J Carmeliet
Energy and Buildings 75, 472-482, 2014
682014
Are genetic algorithms really the best choice for building energy optimization?
T Wortmann, C Waibel, G Nannicini, R Evins, T Schroepfer, J Carmeliet
Proceedings of the Symposium on Simulation for Architecture and Urban Design …, 2017
642017
Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
P Westermann, R Evins
arXiv preprint arXiv:2010.03029, 2020
542020
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20