ZEMCH 2015 - International Conference Proceedings | Page 89
References
ASTE, N., ADHIKARI, R. S., & MANFREN, M., 2013, Cost optimal analysis of heat pump technology adoption in residential
reference buildings. Renewable Energy, 60, pp. 615–624.
BADEA, A., BARACU, T., DINCA, C., TUTICA, D., GRIGORE, R., & ANASTASIU, M. ,2014, A life-cycle cost analysis of the passive house “POLITEHNICA” from Bucharest. Energy and Buildings, 80, pp. 542–555.
BOERMANS, T., HERMELINK, A., & SCHIMSCHAR, S., 2011, Cost optimal building performance requirements, European
council for an energy efficient economy.
BURHENNE, S., TSVETKOVA, O., JACOB, D., HENZE, G. P., & WAGNER, A., 2013, Uncertainty quantification for combined
building performance and cost-benefit analyses. Building and Environment, 62, pp. 143–154.
COLE, R. J., & STERNER, E., 2000, reconciling theory and practice of life-cycle costing. Building Research & Information,
28(5/6), pp. 368–375.
CORRADO, V., BALLARINI, I., & PADUOS, S., 2014, Assessment of Cost-optimal Energy Performance Requirements for the
Italian Residential Building Stock. Energy Procedia, 45, pp. 443–452.
FABBRI, K., TRONCHIN, L., & TARABUSI, V., 2010, the “ cost-optimal levels ” of energy performance requirements : rules
and case study applications, pp. 3064–3071.
FERRARA, M., FABRIZIO, E., VIRGONE, J., & FILIPPI, M., 2014, A simulation-based optimization method for cost-optimal
analysis of nearly Zero Energy Buildings. Energy and Buildings, 84, pp. 442–457.
GANIÇ, N., & YILMAZ, A. Z., 2014, Adaptation of the cost optimal level calculation method of Directive 2010/31/EU considering the influence of Turkish national factors. Applied Energy, 123, pp. 94–107.
GEORGES,L., MASSART, C.,VAN MOESEKE, G., & DE HERDE, A., 2012, Environmental and economic performance of
heating systems for energy-efficient dwellings: Case of passive and low-energy single-family houses. Energy Policy,
40, pp. 452–464.
HAMDY, M., HASAN, A., & SIREN, K., 2013, A multi-stage optimization method for cost-optimal and nearly-zero-energy
building solutions in line with the EPBD-recast 2010. Energy and Buildings, 56, pp. 189–203.
HAN, G., SREBRIC, J., & ENACHE-POMMER, E., 2014, Variability of optimal solutions for building components based on
comprehensive life cycle cost analysis. Energy and Buildings, 79, pp. 223–231.
KAPSALAKI, M., LEAL, V., & SANTAMOURIS, M., 2012, A methodology for economic efficient design of Net Zero Energy
Buildings. Energy and Buildings, 55, pp. 765–778.
KNEIFEL, J., 2010, Life-cycle carbon and cost analysis of energy efficiency measures in new commercial buildings, 42,
pp. 333–340.
KURNITSKI, J., SAARI, A, KALAMEES, T., VUOLLE, M., NIEMELÄ, J., & TARK, T., 2013, Cost optimal and nearly zero energy
performance requirements for buildings in Estonia. Estonian Journal of Engineering, 19(3), 183.
KURNITSKI, J., SAARI, A., KALAMEES, T., VUOLLE, M., NIEMELÄ, J., & TARK, T., 2011, Cost optimal and nearly zero (nZEB)
energy performance calculations for residential buildings with REHVA definition for nZEB national implementation. Energy and Buildings, 43(11), pp. 3279–3288.
LECKNER, M., & ZMEUREANU, R., 2011, Life cycle cost and energy analysis of a Net Zero Energy House with solar combisystem. Applied Energy, 88(1), pp. 232–241.
MACDONALD, I. A., 2009, Comparison of sampling techniques on the performance of Monte-Carlo based sensitivity
analysis. In Building Simulation pp. 992–999 Glasgow.
MACDONALD, I., & STRACHAN, P., 2001, Practical application of uncertainty analysis, 33, pp. 0–8.
MARSZAL, A. J., & HEISELBERG, P., 2011, Life cycle cost analysis of a multi-storey residential Net Zero Energy Building in
Denmark. Energy, 36(9), pp. 5600–5609.
MORRISSEY, J., & HORNE, R. E., 2011, Life cycle cost implications of energy efficiency measures in new residential buildings. Energy & Buildings, 43(4), pp. 915–924.
PIKAS, E., THALFELDT, M., & KURNITSKI, J., 2014, Cost optimal and nearly zero energy building solutions for office buildings. Energy and Buildings, 74, pp. 30–42.
STERNER, E., 2000, Life-cycle costing and its use in the swedish building sector. Building Research & Information,
28(5/6), pp. 387–393.
Uncertainty effects of input data on cost optimal NZEB performance analysis
87