Abstract
The energy performance of buildings can be estimated using various software which use different models for this simulation. It is important to know the value of heating and cooling loads of buildings in order to design the optimum system in every case for minimize the cost and the fuel or electricity consumption. In this study, the loads of a typical building are calculated by two different software, TRNSYS and eQUEST. These programs have different strategy in the loads calculation fact that makes this comparison important in order to validate the results.
A one-zone building of 100 m2 area with four external insulated walls directed in the four orientations is analyzed. All the external walls include double glass windows except from the north wall. The building is located in Athens, where there are average heating loads and great cooling loads. Internal loads from lighting, people and equipment are taken into consideration in order to create a typical building. Simultaneously, this building is parametrically examined by changing the windows area, the infiltration rate, the building orientation and the insulation thickness of the external walls. The calculation of the loads in eQUEST are indirect and are become with the use of the coefficient of performance. Also the strategy for the lighting is different because of TRNSYS controls the outside irradiation and the eQUEST use inside controllers. The final results show that TRNSYS gives greater loads about 5 % in the study case and in the most cases of the parametrical analysis TRNSYS gives greater loads. Moreover, a monthly comparison is presented which proves that the results are close to each other.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Beausoleil-Morrison, I., Kummert, M., Macdonald, F., Jost, R., McDowell, T., & Ferguson, A. (2012). Demonstration of the new ESP-r and TRNSYS co-simulator for modeling solar buildings, Energy Procedia, 30, 505–514.
Brahme, R., O’Neill, Z., Sisson, W., & Otto, K. (2009). Using existing whole building energy tools for designing net-zero energy buildings—Challenges and workarounds. In Eleventh international IBPSA conference, Glasgow, Scotland.
Crwley, D. B., Hand, J. W., Kummert, M., & Griffith, B. T. (2008). Contrasting the capabilities of building performance simulation programs, Building and Environment, 43(4), 661–673.
Development Ministry. (2009). The Greek energy system.
Gasparella, A., & Pernigotto, G. (2012). Extensive comparative analysis of two building energy simulation codes for southern Europe climates: Heating and cooling energy needs and peak loads calculation in TRNSYS and EnergyPlus, International High Performance Buildings Conference, 3556, Purdue.
Han, Y., Liu, X., & Chang, L. (2014). Comparison of software for building energy simulation. Journal of Chemical and Pharmaceutical Research, 6(3), 467–471.
http://en.wikipedia.org/wiki/List_of_countries_by_electricity_consumption
Kea, M.-T., Yeh, C.-H., & Jian, J.-T. (2013). Analysis of building energy consumption parameters and energy savings measurement and verification by applying eQUEST software, Energy and Buildings, 61, 100–107.
Terziotti, L. T., Sweet, M. L., & McLeskey Jr., J. T. (2011). Modeling seasonal solar thermal energy storage in a large urban residential building using TRNSYS 16, Energy and Buildings, 45, 28–31.
Xing, J., Ren, P., & Ling, J. (2014). Analysis of energy efficiency retrofit scheme for hotel buildings usingeQuest software: A case study from Tianjin, China. www.elsevier.com/locate/enbuild.
Zhu, D., Hong, T., Yan, D., & Wang, C. (2013). A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE 2.1E. Building Simulation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Bellos, E., Tzivanidis, C., Kouvari, A., Antonopoulos, K.A. (2016). Comparison of Heating and Cooling Loads of a Typical Building with TRNSYS and eQUEST. In: Grammelis, P. (eds) Energy, Transportation and Global Warming. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-30127-3_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-30127-3_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30126-6
Online ISBN: 978-3-319-30127-3
eBook Packages: EnergyEnergy (R0)