| 1 |
Splitting the dynamic exergy destruction within a building energy system into endogenous and exogenous parts using measured data from the building automation system
Sayadi S, Tsatsaronis G, Morosuk T
International Journal of Energy Research, 44(6), 4395, 2020 |
| 2 |
Comparative study of neighbor communication approaches for distributed model predictive control in building energy systems
Baranski M, Meyer L, Futterer J, Muller D
Energy, 182, 840, 2019 |
| 3 |
Dynamic exergetic assessment of heating and cooling systems in a complex building
Sayadi S, Tsatsaronis G, Morosuk T
Energy Conversion and Management, 183, 561, 2019 |
| 4 |
Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect
Yoon S, Yu Y
Applied Energy, 212, 1069, 2018 |
| 5 |
Implementation of a solution to the problem of reference environment in the exergy evaluation of building energy systems
Sangi R, Muller D
Energy, 149, 830, 2018 |
| 6 |
A novel hybrid agent-based model predictive control for advanced building energy systems
Sangi R, Muller D
Energy Conversion and Management, 178, 415, 2018 |
| 7 |
Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model
Schutz T, Schiffer L, Harb H, Fuchs M, Muller D
Applied Energy, 185, 1, 2017 |
| 8 |
A Modelica library for the agent-based control of building energy systems
Bunning F, Sangi R, Muller D
Applied Energy, 193, 52, 2017 |
| 9 |
Optimal design of energy conversion units for residential buildings considering German market conditions
Schutz T, Schraven MH, Remy S, Granacher J, Kemetmuller D, Fuchs M, Muller D
Energy, 139, 895, 2017 |
| 10 |
Reduced order modeling and parameter identification of a building energy system model through an optimization routine
Harish VSKV, Kumar A
Applied Energy, 162, 1010, 2016 |
