Optimizing Energy Baseline for Medium Size Office Using Hybrid EnergyPlus-Evolutionary Programming (EP)
ASHRAE, Measurement of energy and demand savings. Atlanta, GA 2002.
IPMVP Renewables Subcommitte, Concept and practices for determining energy savings in renewable technologies applications: IPMVP option D: calibrated simulation. ipmvp.org, pp. 13-17. 2003 vol. III.
(2017) EnergyPlus website. [Online]. Available: https://energyplus.net/
IBPSA-USA (2014) Building energy software tools. [Online]. Available: http://www.buildingenergysoftwaretools.com/softwarelisting
Anh-Tuan Nguyen, Sigrid Reiter and Philippe Rigo “A review on simulation-based optimization methods applied to building performance analysis”, Applied Energy., vol. 113, pp. 1043-1058, 2014.
Willy Bernal, Madhur Behl, Truong X. Nghiem, and Rahul Mangharam, “MLE+: a tool for integrated design and deployment of energy efficient building controls,” Toronto, Canada 2012.
Navid Delgarm, Behrang Sajadi and Saeed Delgarm, “Multi-objective optimization of building energy performance and indoor thermal comfort a new method using Artificial Bee Colony (ABC),” Energy and Buildings, Issue 131, pp. 42-53, 2016
Valentina Monetti, Elisabeth Davin, Enrico Fabrizio, PhilippeAndre and Marco Filippi, “Calibration of building energy simulation models based on optimization - a case study,” Energy Procedia, Issue 78, pp. 2971-2976. 2015.
Wetter, M, “Co-simulation of building energy and control systems with the building controls virtual test bed,” Journal of Building Performance Simulation, 4(3), pp. 185-203. 2011.
Haghighat, Laurent Magnier and Fariborz, “Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and artificial neural network,” Building and Environment, vol. 45, pp. 739-746, Nov. 2010.
(2017) Radiance website. [Online]. Available: https://www.radianceonline.org/
(2017) ESP-r website. [Online]. Available: http://www.esru.strath.ac.uk/Programs/ESP-r.htm
V. Siddhartha, P.V. Ramakrishnaa, T. Geethaa and Anand Sivasubramaniam, “Automatic generation of energy conservation measures in buildings using genetic algorithms,” Energy and Buildings. vol. 43, pp. 2718-2726, Nov. 2011.
Jonathan A. Wright, Heather A. Loosemore and Raziyeh Farmani, “Optimization of building thermal design and control by multi-criterion genetic algorithm,” Energy and Buildings, vol. 34, pp. 959-972. 2002.
Fabrizio Ascione, Nicola Bianco, Rosa Francesca De Masi, Gerardo Maria Mauro and Giuseppe Peter Vanoli, “Design of the building envelope- a novel multi-objective approach for the optimization of energy performance and thermal comfort,” Sustainability, vol. 7, 2015.
A. C. Koenig, “A study of mutation methods for evolutionry algorithms,” pp. 1-8, 2002.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.