Economic Optimal HVAC Design for Hybrid GEOTABS Buildings and CO 2 Emissions Analysis
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- Ashouri, Araz & Fux, Samuel S. & Benz, Michael J. & Guzzella, Lino, 2013. "Optimal design and operation of building services using mixed-integer linear programming techniques," Energy, Elsevier, vol. 59(C), pages 365-376.
- Evins, Ralph, 2015. "Multi-level optimization of building design, energy system sizing and operation," Energy, Elsevier, vol. 90(P2), pages 1775-1789.
- Baldi, Simone & Michailidis, Iakovos & Ravanis, Christos & Kosmatopoulos, Elias B., 2015. "Model-based and model-free “plug-and-play” building energy efficient control," Applied Energy, Elsevier, vol. 154(C), pages 829-841.
- Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
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- Borna Doračić & Tomislav Novosel & Tomislav Pukšec & Neven Duić, 2018. "Evaluation of Excess Heat Utilization in District Heating Systems by Implementing Levelized Cost of Excess Heat," Energies, MDPI, vol. 11(3), pages 1-14, March.
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Keywords
optimal design; HVAC; environment; building; GEOTABS; ground source heat pump;All these keywords.
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