IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v114y2018i3d10.1007_s11192-017-2615-4.html
   My bibliography  Save this article

Energy efficiency in buildings: analysis of scientific literature and identification of data analysis techniques from a bibliometric study

Author

Listed:
  • Talita Mariane Cristino

    (São Paulo State University (UNESP), School of Engineering)

  • Antonio Faria Neto

    (São Paulo State University (UNESP), School of Engineering)

  • Antonio Fernando Branco Costa

    (São Paulo State University (UNESP), School of Engineering)

Abstract

This study uses bibliometrics methods to analyze the specialized literature of energy efficiency in buildings, including the Scopus database during the period of time ranging from 1980 to 2016, to identify the most relevant publications, authors, researcher groups, the evolution of the theme over the years, journals, geographical areas and eventually data analysis techniques employed. The countries with the most contributions have been the USA, China and the UK, where the Lawrence Berkeley National Labor, Hong Kong Polytechnic University and City University of Hong Kong were the three institutions with the most publications in this area. The publications have been concentrated primarily in thirty-three journals. The three most important journals are Energy and Buildings, Applied Energy, and Energy and are categorized primarily in engineering, energy and environmental sciences. The key terms may be divided into seven clusters: Buildings and Energy Uses; Building Energy Conservation; Energy Consumption; Energy Consumption Forecasting and Computational Intelligence; Energy Efficiency and Climate Effects; Building Energy Efficiency and Multivariate Statistics; and Building Energy Analysis and Stochastic Processes. The Data Analysis Techniques contained seven groups: Regression Analysis, Descriptive Statistics, Multivariate Analysis, Computational Intelligence, Stochastic Processes, Inferential Statistics and Design of Experiments. The data analysis techniques identified in this article raise the possibility of reformulation and adequacy of the curricula of the undergraduate and graduate courses in the area of energy and smart buildings. The results of this research have shown a general perspective regarding the energy efficiency in buildings, which can be useful in showing relevant themes for further research.

Suggested Citation

  • Talita Mariane Cristino & Antonio Faria Neto & Antonio Fernando Branco Costa, 2018. "Energy efficiency in buildings: analysis of scientific literature and identification of data analysis techniques from a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1275-1326, March.
    • Handle: RePEc:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2615-4
    DOI: 10.1007/s11192-017-2615-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2615-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-017-2615-4?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. Constantine Kontokosta, 2015. "A Market-Specific Methodology for a Commercial Building Energy Performance Index," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 288-316, August.
    2. Buratti, C. & Barbanera, M. & Palladino, D., 2014. "An original tool for checking energy performance and certification of buildings by means of Artificial Neural Networks," Applied Energy, Elsevier, vol. 120(C), pages 125-132.
    3. Jesus Palomo & Cristina Figueroa-Domecq & Pilar Laguna, 2017. "Women, peace and security state-of-art: a bibliometric analysis in social sciences based on SCOPUS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 123-148, October.
    4. Ma, Jun & Cheng, Jack C.P., 2016. "Identifying the influential features on the regional energy use intensity of residential buildings based on Random Forests," Applied Energy, Elsevier, vol. 183(C), pages 193-201.
    5. Hemsath, Timothy L. & Alagheband Bandhosseini, Kaveh, 2015. "Sensitivity analysis evaluating basic building geometry's effect on energy use," Renewable Energy, Elsevier, vol. 76(C), pages 526-538.
    6. Jie Li & Aleksandar Jovanovic & Peter Klimek & Xiaohong Guo, 2015. "Bibliometric analysis of fracking scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1273-1284, November.
    7. Maite Barrios & Angel Borrego & Andreu Vilaginés & Candela Ollé & Marta Somoza, 2008. "A bibliometric study of psychological research on tourism," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 453-467, December.
    8. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    9. Capozzoli, Alfonso & Piscitelli, Marco Savino & Neri, Francesco & Grassi, Daniele & Serale, Gianluca, 2016. "A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres," Applied Energy, Elsevier, vol. 171(C), pages 592-607.
    10. Dan Norbäck & Erik Lampa & Karin Engvall, 2014. "Asthma, Allergy and Eczema among Adults in Multifamily Houses in Stockholm (3-HE Study) - Associations with Building Characteristics, Home Environment and Energy Use for Heating," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-17, December.
    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. Cristino, T.M. & Lotufo, F.A. & Delinchant, B. & Wurtz, F. & Faria Neto, A., 2021. "A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    3. Thaís Vieira Nunhes & Enzo Viviani Garcia & Maximilian Espuny & Vitor Homem de Mello Santos & Raine Isaksson & Otávio José de Oliveira, 2021. "Where to Go with Corporate Sustainability? Opening Paths for Sustainable Businesses through the Collaboration between Universities, Governments, and Organizations," Sustainability, MDPI, vol. 13(3), pages 1-31, January.
    4. Zezhou Wu & Kaijie Yang & Xiaofan Lai & Maxwell Fordjour Antwi-Afari, 2020. "A Scientometric Review of System Dynamics Applications in Construction Management Research," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    5. Dejian Yu & Zeshui Xu & Wanru Wang, 2019. "A bibliometric analysis of Fuzzy Optimization and Decision Making (2002–2017)," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 371-397, September.

    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. Papadopoulos, Sokratis & Bonczak, Bartosz & Kontokosta, Constantine E., 2018. "Pattern recognition in building energy performance over time using energy benchmarking data," Applied Energy, Elsevier, vol. 221(C), pages 576-586.
    2. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    3. Capozzoli, Alfonso & Piscitelli, Marco Savino & Brandi, Silvio & Grassi, Daniele & Chicco, Gianfranco, 2018. "Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings," Energy, Elsevier, vol. 157(C), pages 336-352.
    4. Cinzia Buratti & Francesco Asdrubali & Domenico Palladino & Antonella Rotili, 2015. "Energy Performance Database of Building Heritage in the Region of Umbria, Central Italy," Energies, MDPI, vol. 8(7), pages 1-18, July.
    5. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
    6. Estiri, Hossein & Zagheni, Emilio, 2018. "Evaluating the Age-Energy Consumption Profile in Residential Buildings," SocArXiv yqkva, Center for Open Science.
    7. Maria Cecilia P Moura & Steven J Smith & David B Belzer, 2015. "120 Years of U.S. Residential Housing Stock and Floor Space," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-18, August.
    8. Yana Akhtyrska & Franz Fuerst, 2021. "People or Systems: Does Productivity Enhancement Matter More than Energy Management in LEED Certified Buildings?," Sustainability, MDPI, vol. 13(24), pages 1-35, December.
    9. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
    10. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2018. "Modelling urban energy requirements using open source data and models," Applied Energy, Elsevier, vol. 231(C), pages 1100-1108.
    11. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.
    12. Lee, Junghun & Kim, Jeonggook & Song, Doosam & Kim, Jonghun & Jang, Cheolyong, 2017. "Impact of external insulation and internal thermal density upon energy consumption of buildings in a temperate climate with four distinct seasons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1081-1088.
    13. Chengju Wang & Juan Wang & Dan Norbäck, 2022. "A Systematic Review of Associations between Energy Use, Fuel Poverty, Energy Efficiency Improvements and Health," IJERPH, MDPI, vol. 19(12), pages 1-29, June.
    14. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Energy-Related Behaviour of Consumers from the Silesia Province (Poland)—Towards a Low-Carbon Economy," Energies, MDPI, vol. 14(8), pages 1-23, April.
    15. Ye, Zhongnan & Cheng, Kuangly & Hsu, Shu-Chien & Wei, Hsi-Hsien & Cheung, Clara Man, 2021. "Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach," Applied Energy, Elsevier, vol. 301(C).
    16. Abdelkader Sarri & Saleh Nasser Al-Saadi & Müslüm Arıcı & Djamel Bechki & Hamza Bouguettaia, 2023. "Architectural Design Strategies for Enhancement of Thermal and Energy Performance of PCMs-Embedded Envelope System for an Office Building in a Typical Arid Saharan Climate," Sustainability, MDPI, vol. 15(2), pages 1-29, January.
    17. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    18. Pahrudin Pahrudin & Li-Wei Liu & Shao-Yu Li, 2022. "What Is the Role of Tourism Management and Marketing toward Sustainable Tourism? A Bibliometric Analysis Approach," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
    19. Wen-Yau Cathy Lin & Mu-Hsuan Huang, 2012. "The relationship between co-authorship, currency of references and author self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 343-360, February.
    20. ChungYeon Won & SangTae No & Qamar Alhadidi, 2019. "Factors Affecting Energy Performance of Large-Scale Office Buildings: Analysis of Benchmarking Data from New York City and Chicago," Energies, MDPI, vol. 12(24), pages 1-17, December.

    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:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2615-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.