| 1 |
Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems
Mavrornatidis G, Orehounig K, Carmeliet J
Applied Energy, 214, 219, 2018 |
| 2 |
Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach
Mavromatidis G, Orehounig K, Carmeliet J
Applied Energy, 222, 932, 2018 |
| 3 |
Integrating a thermal model of ground source heat pumps and solar regeneration within building energy system optimization
Miglani S, Orehounig K, Carmeliet J
Applied Energy, 218, 78, 2018 |
| 4 |
A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050
Murray P, Orehounig K, Grosspietsch D, Carmeliet J
Applied Energy, 231, 1285, 2018 |
| 5 |
Comparison of alternative decision-making criteria in a two-stage stochastic program for the design of distributed energy systems under uncertainty
Mavromatidis G, Orehounig K, Carmeliet J
Energy, 156, 709, 2018 |
| 6 |
A methodology to calculate long-term shallow geothermal energy potential for an urban neighbourhood
Miglani S, Orehounig K, Carmeliet J
Energy and Buildings, 159, 462, 2018 |
| 7 |
CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies
Wang DH, Landolt J, Mavromatidis G, Orehounig K, Carmeliet J
Energy and Buildings, 169, 9, 2018 |
| 8 |
Multiobjective optimisation of energy systems and building envelope retrofit in a residential community
Wu R, Mavromatidis G, Orehounig K, Carmeliet J
Applied Energy, 190, 634, 2017 |
| 9 |
Comparison of solar thermal systems with storage: From building to neighbourhood scale
Hsieh S, Omu A, Orehounig K
Energy and Buildings, 152, 359, 2017 |
| 10 |
Mixed integer linear programming for the design of solar thermal energy systems with short-term storage
Omu A, Hsieh S, Orehounig K
Applied Energy, 180, 313, 2016 |
