Optimal Design of Net Zero Energy Buildings

Ala Hasan
Aalto University, School of Engineering, Department of Energy Technology, Finland

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp110571845

Ingår i: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:14, s. 1845-1852

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Publicerad: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


The new recast of the Energy Performance of Buildings Directive (EPBD) calls for all new buildings to be nearly zero energy buildings by the end of 2020. Besides; there are many evolving new definitions of Net Zero Energy Building (NZEB) that need to be fulfilled. To achieve the above mentioned targets is quite challenging. In this paper the author presents his approach for the optimum deign method for NZEBs; which is by using combined simulation-optimisation. The method takes the problem as one-integrated design problem; where all possible components of the on-site renewable production; energy conversion; HVAC systems; building envelope and grid-connection are considered together as options in the design. It is a multi-objective problem; because it is to simultaneously minimise energy; CO2 emission; cost and indoor discomfort. Since these are conflicting objectives; thus it is an optimisation problem. An optimisation example is presented; which is solved by two methods: as a single objective problem and a two-objective problem.


NZEB; cost-optimal design; simulation; optimisation


[1] The Buildings Performance Institute Europe (BPIE); Cost optimality: How to identify cost-optimal levels when implementing energy efficiency in buildings? http://dl.dropbox.com/u/4399528/BPIE/BPIE_costoptimality_publication2010.pdf

[2] I. Sartoria; I Graabak; T. H. Dokka; Proposal of a Norwegian ZEB definition: Storylines and Criteria. zero emission buildings; proceedings of Renewable Energy Conference 2010; Trondheim; Norway.

[3] M. Palonen; A. Hasan; K. Sirén; A Genetic Algorithm for the Optimisation of Building Envelope and HVAC System Parameters. 11th International Building Performance Simulation Association (IBPSA) Conference; 27-30.7.2009; Glasgow.

[4] M. Hamdy; A. Hasan; K. Sirén; Combination of Optimisation Algorithms for a Multi-Objective Building Design Problem. 11th International Building Performance Simulation Association (IBPSA) Conference; 27-30.7.2009; Glasgow.

[5] A. Hasan; M. Vuolle; K. Sirén; Minimisation of life cycle cost of a detached house using combined simulation and optimisation. Building and Environment 43(12): 2022-2034.

[6] M. Hamdy; A. Hasan; K. Sirén; Applying a multi-objective optimization approach for design of low-emission cost-effective dwellings. Building and Environment 46 (2011):109-123. doi: 10.1016/j.buildenv.2010.07.006.

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