IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v84y2015icp623-633.html
   My bibliography  Save this article

Extra cost analyses of two apartment buildings for achieving nearly zero and low energy buildings

Author

Listed:
  • Pikas, Ergo
  • Thalfeldt, Martin
  • Kurnitski, Jarek
  • Liias, Roode

Abstract

The nZEB (nearly zero energy building) requirements taking effect in 2021 have induced the interest about additional cost and technical solutions amongst real-estate developers, construction companies, architects and engineers. The objectives of this study are twofold, first to determine the cost-optimal energy efficiency level for two lately built apartment buildings in a cold climate of Estonia, and secondly, which are the proper measures to achieve low energy and nZEB requirement levels. The influence of high-efficiency external walls, roofs, windows, ventilation units and solar collectors on energy use and construction costs were studied by using multi-stage methodology for reducing the number of combinations. The results show that since 2010 the cost optimal primary energy level has shifted from 145 kWh/m2 to 110 kWh/m2, but achieving nZEB level of 100 kWh/m2 still requires relatively high additional investments. With initial measures, nZEB requirements were not fulfilled in the studied cases, but the solutions close to nZEB required extra investment of 65 €/m2 i.e. 4–7% compared to the actual buildings. Low energy building level needed additional investments up to 2%. In both case studies remarkably better energy efficiency level could have been achieved with lower construction costs.

Suggested Citation

  • Pikas, Ergo & Thalfeldt, Martin & Kurnitski, Jarek & Liias, Roode, 2015. "Extra cost analyses of two apartment buildings for achieving nearly zero and low energy buildings," Energy, Elsevier, vol. 84(C), pages 623-633.
    • Handle: RePEc:eee:energy:v:84:y:2015:i:c:p:623-633
    DOI: 10.1016/j.energy.2015.03.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215003205
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.03.026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arumägi, Endrik & Kalamees, Targo, 2014. "Analysis of energy economic renovation for historic wooden apartment buildings in cold climates," Applied Energy, Elsevier, vol. 115(C), pages 540-548.
    2. Corgnati, Stefano Paolo & Fabrizio, Enrico & Filippi, Marco & Monetti, Valentina, 2013. "Reference buildings for cost optimal analysis: Method of definition and application," Applied Energy, Elsevier, vol. 102(C), pages 983-993.
    3. Machairas, Vasileios & Tsangrassoulis, Aris & Axarli, Kleo, 2014. "Algorithms for optimization of building design: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 101-112.
    4. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    5. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    6. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
    7. Diakaki, Christina & Grigoroudis, Evangelos & Kolokotsa, Dionyssia, 2013. "Performance study of a multi-objective mathematical programming modelling approach for energy decision-making in buildings," Energy, Elsevier, vol. 59(C), pages 534-542.
    8. Yang, Liu & Wan, Kevin K.W. & Li, Danny H.W. & Lam, Joseph C., 2011. "A new method to develop typical weather years in different climates for building energy use studies," Energy, Elsevier, vol. 36(10), pages 6121-6129.
    9. Capeluto, I. Guedi & Ochoa, Carlos E., 2014. "Simulation-based method to determine climatic energy strategies of an adaptable building retrofit façade system," Energy, Elsevier, vol. 76(C), pages 375-384.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stevanović, Sanja, 2016. "Parametric study of a cost-optimal, energy efficient office building in Serbia," Energy, Elsevier, vol. 117(P2), pages 492-505.
    2. Endrik Arumägi & Targo Kalamees, 2020. "Cost and Energy Reduction of a New nZEB Wooden Building," Energies, MDPI, vol. 13(14), pages 1-16, July.
    3. Malvoni, Maria & Baglivo, Cristina & Congedo, Paolo Maria & Laforgia, Domenico, 2016. "CFD modeling to evaluate the thermal performances of window frames in accordance with the ISO 10077," Energy, Elsevier, vol. 111(C), pages 430-438.
    4. Thalfeldt, Martin & Pikas, Ergo & Kurnitski, Jarek & Voll, Hendrik, 2017. "Window model and 5 year price data sensitivity to cost-effective façade solutions for office buildings in Estonia," Energy, Elsevier, vol. 135(C), pages 685-697.
    5. Kütt, Lauri & Millar, John & Karttunen, Antti & Lehtonen, Matti & Karppinen, Maarit, 2018. "Thermoelectric applications for energy harvesting in domestic applications and micro-production units. Part I: Thermoelectric concepts, domestic boilers and biomass stoves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 519-544.
    6. Maria Ferrara & Valentina Monetti & Enrico Fabrizio, 2018. "Cost-Optimal Analysis for Nearly Zero Energy Buildings Design and Optimization: A Critical Review," Energies, MDPI, vol. 11(6), pages 1-32, June.
    7. Zinzi, Michele & Mattoni, Benedetta, 2019. "Assessment of construction cost reduction of nearly zero energy dwellings in a life cycle perspective," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Pikas, Ergo & Kurnitski, Jarek & Thalfeldt, Martin & Koskela, Lauri, 2017. "Cost-benefit analysis of nZEB energy efficiency strategies with on-site photovoltaic generation," Energy, Elsevier, vol. 128(C), pages 291-301.
    9. Kaiser Ahmed & Margaux Carlier & Christian Feldmann & Jarek Kurnitski, 2018. "A New Method for Contrasting Energy Performance and Near-Zero Energy Building Requirements in Different Climates and Countries," Energies, MDPI, vol. 11(6), pages 1-22, May.
    10. Yang, Dong & Li, Ping, 2015. "Dimensionless design approach, applicability and energy performance of stack-based hybrid ventilation for multi-story buildings," Energy, Elsevier, vol. 93(P1), pages 128-140.
    11. Chi, Fang'ai & Pan, Jiajie & Liu, Yang & Guo, Yuang, 2021. "Improvement of thermal comfort by hydraulic-driven ventilation device and space partition arrangement towards building energy saving," Applied Energy, Elsevier, vol. 299(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kangji Li & Lei Pan & Wenping Xue & Hui Jiang & Hanping Mao, 2017. "Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study," Energies, MDPI, vol. 10(2), pages 1-23, February.
    2. Capeluto, I. Guedi & Ochoa, Carlos E., 2014. "Simulation-based method to determine climatic energy strategies of an adaptable building retrofit façade system," Energy, Elsevier, vol. 76(C), pages 375-384.
    3. Salata, Ferdinando & Ciancio, Virgilio & Dell'Olmo, Jacopo & Golasi, Iacopo & Palusci, Olga & Coppi, Massimo, 2020. "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms," Applied Energy, Elsevier, vol. 260(C).
    4. Liu, Long & Zhao, Jing & Liu, Xin & Wang, Zhaoxia, 2014. "Energy consumption comparison analysis of high energy efficiency office buildings in typical climate zones of China and U.S. based on correction model," Energy, Elsevier, vol. 65(C), pages 221-232.
    5. Brandão de Vasconcelos, Ana & Pinheiro, Manuel Duarte & Manso, Armando & Cabaço, António, 2015. "A Portuguese approach to define reference buildings for cost-optimal methodologies," Applied Energy, Elsevier, vol. 140(C), pages 316-328.
    6. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    7. Rämä, M. & Mohammadi, S., 2017. "Comparison of distributed and centralised integration of solar heat in a district heating system," Energy, Elsevier, vol. 137(C), pages 649-660.
    8. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
    9. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
    10. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    11. Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
    12. Attia, Shady & Shadmanfar, Niloufar & Ricci, Federico, 2020. "Developing two benchmark models for nearly zero energy schools," Applied Energy, Elsevier, vol. 263(C).
    13. Yu, Sha & Eom, Jiyong & Zhou, Yuyu & Evans, Meredydd & Clarke, Leon, 2014. "Scenarios of building energy demand for China with a detailed regional representation," Energy, Elsevier, vol. 67(C), pages 284-297.
    14. Aste, Niccolò & Leonforte, Fabrizio & Manfren, Massimiliano & Mazzon, Manlio, 2015. "Thermal inertia and energy efficiency – Parametric simulation assessment on a calibrated case study," Applied Energy, Elsevier, vol. 145(C), pages 111-123.
    15. Hong, Lixuan & Zhou, Nan & Feng, Wei & Khanna, Nina & Fridley, David & Zhao, Yongqiang & Sandholt, Kaare, 2016. "Building stock dynamics and its impacts on materials and energy demand in China," Energy Policy, Elsevier, vol. 94(C), pages 47-55.
    16. Dragomir, George & Șerban, Alexandru & Năstase, Gabriel & Brezeanu, Alin Ionuț, 2016. "Wind energy in Romania: A review from 2009 to 2016," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 129-143.
    17. Olonscheck, Mady & Walther, Carsten & Lüdeke, Matthias & Kropp, Jürgen P., 2015. "Feasibility of energy reduction targets under climate change: The case of the residential heating energy sector of the Netherlands," Energy, Elsevier, vol. 90(P1), pages 560-569.
    18. Medved, Sašo & Babnik, Miha & Vidrih, Boris & Arkar, Ciril, 2014. "Parametric study on the advantages of weather-predicted control algorithm of free cooling ventilation system," Energy, Elsevier, vol. 73(C), pages 80-87.
    19. Feng, Wei & Zhang, Qianning & Ji, Hui & Wang, Ran & Zhou, Nan & Ye, Qing & Hao, Bin & Li, Yutong & Luo, Duo & Lau, Stephen Siu Yu, 2019. "A review of net zero energy buildings in hot and humid climates: Experience learned from 34 case study buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    20. Wang, Yang & Zhao, Fu-Yun & Kuckelkorn, Jens & Liu, Di & Liu, Li-Qun & Pan, Xiao-Chuan, 2014. "Cooling energy efficiency and classroom air environment of a school building operated by the heat recovery air conditioning unit," Energy, Elsevier, vol. 64(C), pages 991-1001.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:84:y:2015:i:c:p:623-633. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.