IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i18p4621-d409342.html
   My bibliography  Save this article

A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management

Author

Listed:
  • Zhikun Ding

    (Key Laboratory of Coastal Urban Resilient Infrastructures (MOE), Shenzhen University, Shenzhen 518060, China
    Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
    Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

  • Rongsheng Liu

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
    Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

  • Zongjie Li

    (Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

  • Cheng Fan

    (Key Laboratory of Coastal Urban Resilient Infrastructures (MOE), Shenzhen University, Shenzhen 518060, China
    Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
    Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

The rapid increase in the number of online resources and academic articles has created great challenges for researchers and practitioners to efficiently grasp the status quo of building energy-related research. Rather than relying on manual inspections, advanced data analytics (such as text mining) can be used to enhance the efficiency and effectiveness in literature reviews. This article proposes a text mining-based approach for the automatic identification of major research trends in the field of building energy management. In total, 5712 articles (from 1972 to 2019) are analyzed. The word2vec model is used to optimize the latent Dirichlet allocation (LDA) results, and social networks are adopted to visualize the inter-topic relationships. The results are presented using the Gephi visualization platform. Based on inter-topic relevance and topic evolutions, in-depth analysis has been conducted to reveal research trends and hot topics in the field of building energy management. The research results indicate that heating, ventilation, and air conditioning (HVAC) is one of the most essential topics. The thermal environment, indoor illumination, and residential building occupant behaviors are important factors affecting building energy consumption. In addition, building energy-saving renovations, green buildings, and intelligent buildings are research hotspots, and potential future directions. The method developed in this article serves as an effective alternative for researchers and practitioners to extract useful insights from massive text data. It provides a prototype for the automatic identification of research trends based on text mining techniques.

Suggested Citation

  • Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4621-:d:409342
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/18/4621/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/18/4621/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gago, E.J. & Muneer, T. & Knez, M. & Köster, H., 2015. "Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1-13.
    2. Cai, Jing & Jiang, Zhigang, 2008. "Changing of energy consumption patterns from rural households to urban households in China: An example from Shaanxi Province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1667-1680, August.
    3. Bai, Lujian & Wang, Shusheng, 2019. "Definition of new thermal climate zones for building energy efficiency response to the climate change during the past decades in China," Energy, Elsevier, vol. 170(C), pages 709-719.
    4. Liu, Zhijian & Zhou, Qingxu & Tian, Zhiyong & He, Bao-jie & Jin, Guangya, 2019. "A comprehensive analysis on definitions, development, and policies of nearly zero energy buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    5. Enongene, K.E. & Murray, P. & Holland, J. & Abanda, F.H., 2017. "Energy savings and economic benefits of transition towards efficient lighting in residential buildings in Cameroon," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 731-742.
    6. Sadineni, Suresh B. & Madala, Srikanth & Boehm, Robert F., 2011. "Passive building energy savings: A review of building envelope components," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3617-3631.
    7. Lotfabadi, Pooya, 2015. "Analyzing passive solar strategies in the case of high-rise building," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1340-1353.
    8. Chenari, Behrang & Dias Carrilho, João & Gameiro da Silva, Manuel, 2016. "Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1426-1447.
    9. Jiang, Hanchen & Qiang, Maoshan & Lin, Peng, 2016. "A topic modeling based bibliometric exploration of hydropower research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 226-237.
    10. Yang, Xiaoshan & Peng, Lilliana L.H. & Jiang, Zhidian & Chen, Yuan & Yao, Lingye & He, Yunfei & Xu, Tianjing, 2020. "Impact of urban heat island on energy demand in buildings: Local climate zones in Nanjing," Applied Energy, Elsevier, vol. 260(C).
    11. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan & Jeong, Jaewook, 2017. "Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region," Applied Energy, Elsevier, vol. 204(C), pages 1431-1443.
    12. Shameri, M.A. & Alghoul, M.A. & Sopian, K. & Zain, M. Fauzi M. & Elayeb, Omkalthum, 2011. "Perspectives of double skin façade systems in buildings and energy saving," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1468-1475, April.
    13. Bai, Lujian & Yang, Liu & Song, Bing & Liu, Na, 2020. "A new approach to develop a climate classification for building energy efficiency addressing Chinese climate characteristics," Energy, Elsevier, vol. 195(C).
    14. Martínez-Molina, Antonio & Tort-Ausina, Isabel & Cho, Soolyeon & Vivancos, José-Luis, 2016. "Energy efficiency and thermal comfort in historic buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 70-85.
    15. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Niu, Yunzhu, 2012. "Variations in energy consumption and survival status between rural and urban households: A case study of the Western Loess Plateau, China," Energy Policy, Elsevier, vol. 49(C), pages 515-527.
    16. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    17. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    18. Kheiri, Farshad, 2018. "A review on optimization methods applied in energy-efficient building geometry and envelope design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 897-920.
    19. Gholami, Hassan & Røstvik, Harald Nils, 2020. "Economic analysis of BIPV systems as a building envelope material for building skins in Europe," Energy, Elsevier, vol. 204(C).
    20. Li, Dayao & He, Jiang & Li, Lin, 2016. "A review of renewable energy applications in buildings in the hot-summer and warm-winter region of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 327-336.
    21. Akeiber, Hussein & Nejat, Payam & Majid, Muhd Zaimi Abd. & Wahid, Mazlan A. & Jomehzadeh, Fatemeh & Zeynali Famileh, Iman & Calautit, John Kaiser & Hughes, Ben Richard & Zaki, Sheikh Ahmad, 2016. "A review on phase change material (PCM) for sustainable passive cooling in building envelopes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1470-1497.
    22. Ma, Hongting & Li, Cong & Lu, Wenqian & Zhang, Zeyu & Yu, Shaojie & Du, Na, 2017. "Investigation on a solar-groundwater heat pump unit associated with radiant floor heating," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 972-977.
    23. Tong, Guohong & Christopher, David M. & Li, Tianlai & Wang, Tieliang, 2013. "Passive solar energy utilization: A review of cross-section building parameter selection for Chinese solar greenhouses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 540-548.
    24. Ralegaonkar, Rahul V. & Gupta, Rajiv, 2010. "Review of intelligent building construction: A passive solar architecture approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2238-2242, October.
    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. Dongmiao Zhao & Yufeng Liu & Boyi Pei & Xingtian Wang & Sheng Miao & Weijun Gao, 2022. "An Exploration of Architectural Design Factors with a Consideration of Natural Aspects Based on Web Crawling and Text Mining," Mathematics, MDPI, vol. 10(23), pages 1-20, November.
    2. Zezhou Wu & Qiufeng He & Kaijie Yang & Jinming Zhang & Kexi Xu, 2020. "Investigating the Dynamics of China’s Green Building Policy Development from 1986 to 2019," IJERPH, MDPI, vol. 18(1), pages 1-19, December.
    3. Lu Huang & Xiang Chen & Yi Zhang & Changtian Wang & Xiaoli Cao & Jiarun Liu, 2022. "Identification of topic evolution: network analytics with piecewise linear representation and word embedding," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5353-5383, September.
    4. Danilo Ferreira de Souza & Emeli Lalesca Aparecida da Guarda & Welitom Ttatom Pereira da Silva & Ildo Luis Sauer & Hédio Tatizawa, 2022. "Perspectives on the Advancement of Industry 4.0 Technologies Applied to Water Pumping Systems: Trends in Building Pumps," Energies, MDPI, vol. 15(9), pages 1-17, May.

    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. Niu, Shuwen & Li, Zhen & Qiu, Xin & Dai, Runqi & Wang, Xiang & Qiang, Wenli & Hong, Zhenguo, 2019. "Measurement of effective energy consumption in China's rural household sector and policy implication," Energy Policy, Elsevier, vol. 128(C), pages 553-564.
    2. Jingwen Wu & Bingdong Hou & Ruoyu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2018. "Residential fuel choice in the rural: A field research on two counties of North China," CEEP-BIT Working Papers 109, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Jingwen Wu & Bingdong Hou & Ruo-Yu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2017. "Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    4. Tianyu Zhang & Xianyan Chen & Fen Zhang & Zhi Yang & Yong Wang & Yonghua Li & Linxiao Wei, 2022. "A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    5. Gabriele Battista & Emanuele de Lieto Vollaro & Andrea Vallati & Roberto de Lieto Vollaro, 2023. "Technical–Financial Feasibility Study of a Micro-Cogeneration System in the Buildings in Italy," Energies, MDPI, vol. 16(14), pages 1-15, July.
    6. Meng, Fanchao & Zhang, Lei & Ren, Guoyu & Zhang, Ruixue, 2023. "Impacts of UHI on variations in cooling loads in buildings during heatwaves: A case study of Beijing and Tianjin, China," Energy, Elsevier, vol. 273(C).
    7. Azis, Shazmin Shareena Ab., 2021. "Improving present-day energy savings among green building sector in Malaysia using benefit transfer approach: Cooling and lighting loads," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    8. Gabriele Battista & Emanuele de Lieto Vollaro & Luca Evangelisti & Roberto de Lieto Vollaro, 2022. "Urban Overheating Mitigation Strategies Opportunities: A Case Study of a Square in Rome (Italy)," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    9. Halawa, Edward & Ghaffarianhoseini, Amirhosein & Ghaffarianhoseini, Ali & Trombley, Jeremy & Hassan, Norhaslina & Baig, Mirza & Yusoff, Safiah Yusmah & Azzam Ismail, Muhammad, 2018. "A review on energy conscious designs of building façades in hot and humid climates: Lessons for (and from) Kuala Lumpur and Darwin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2147-2161.
    10. Long Pei & Patrick Schalbart & Bruno Peuportier, 2023. "Quantitative Evaluation of the Effects of Heat Island on Building Energy Simulation: A Case Study in Wuhan, China," Energies, MDPI, vol. 16(7), pages 1-23, March.
    11. Dietz, Annelore & Vera, Sergio & Bustamante, Waldo & Flamant, Gilles, 2020. "Multi-objective optimization to balance thermal comfort and energy use in a mining camp located in the Andes Mountains at high altitude," Energy, Elsevier, vol. 199(C).
    12. Zi, Cao & Qian, Meng & Baozhong, Gao, 2021. "The consumption patterns and determining factors of rural household energy: A case study of Henan Province in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    13. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    14. Chi, Fang'ai & Xu, Liming & Pan, Jiajie & Wang, Ruonan & Tao, Yekang & Guo, Yuang & Peng, Changhai, 2020. "Prediction of the total day-round thermal load for residential buildings at various scales based on weather forecast data," Applied Energy, Elsevier, vol. 280(C).
    15. Hong, Xiaoqiang & Leung, Michael K.H. & He, Wei, 2019. "Effective use of venetian blind in Trombe wall for solar space conditioning control," Applied Energy, Elsevier, vol. 250(C), pages 452-460.
    16. Shiva Amirkhani & Ali Bahadori-Jahromi & Anastasia Mylona & Paulina Godfrey & Darren Cook, 2019. "Impact of Low-E Window Films on Energy Consumption and CO 2 Emissions of an Existing UK Hotel Building," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    17. Wang, Qiang & Lin, Jian & Zhou, Kan & Fan, Jie & Kwan, Mei-Po, 2020. "Does urbanization lead to less residential energy consumption? A comparative study of 136 countries," Energy, Elsevier, vol. 202(C).
    18. Marchini, F. & Chiatti, C. & Fabiani, C. & Pisello, A.L., 2023. "Development of an innovative translucent–photoluminescent coating for smart windows applications: An experimental and numerical investigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    19. Li, Jianglong & Chen, Chang & Liu, Hongxun, 2019. "Transition from non-commercial to commercial energy in rural China: Insights from the accessibility and affordability," Energy Policy, Elsevier, vol. 127(C), pages 392-403.
    20. Jaewook Lee & Jiyoung Park, 2018. "Phase Change Material (PCM) Application in a Modernized Korean Traditional House (Hanok)," Sustainability, MDPI, vol. 10(4), pages 1-15, March.

    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:gam:jeners:v:13:y:2020:i:18:p:4621-:d:409342. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.