IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i10p1459-d112744.html
   My bibliography  Save this article

Case Studies of Environmental Visualization

Author

Listed:
  • Panagiotis Patlakas

    (School of Engineering and the Built Environment, Birmingham City University, 15 Bartholomew Row, Birmingham B5 5JU, UK)

  • Georgios Koronaios

    (Hodkinson Consultancy, 59-65 Lowlands Road, Harrow HA1 3AW, UK)

  • Rokia Raslan

    (Institute for Environmental Design and Engineering (IEDE), University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Gareth Neighbour

    (School of Engineering and the Built Environment, Birmingham City University, 15 Bartholomew Row, Birmingham B5 5JU, UK)

  • Hasim Altan

    (Department of Architectural Engineering, University of Sharjah, P. O. Box 27272 Sharjah, UAE)

Abstract

The performance gap between simulation and reality has been identified as a major challenge to achieving sustainability in the Built Environment. While Post-Occupancy Evaluation (POE) surveys are an integral part of better understanding building performance, and thus addressing this issue, the importance of POE remains relatively unacknowledged within the wider Built Environment community. A possible reason that has been highlighted is that POE survey data is not easily understood and utilizable by non-expert stakeholders, including designers. A potential method by which to address this is the visualization method, which has well established benefits for communication of big datasets. This paper presents two case studies where EnViz (short for “Environmental Visualization”), a prototype software application developed for research purposes, was utilized and its effectiveness tested via a range of analysis tasks. The results are discussed and compared with those of previous work that utilized variations of the methods presented here. The paper concludes by presenting the lessons drawn from the five-year period of EnViz, emphasizing the potential of environmental visualization for decision support in environmental design and engineering for the built environment, and suggests directions for future development.

Suggested Citation

  • Panagiotis Patlakas & Georgios Koronaios & Rokia Raslan & Gareth Neighbour & Hasim Altan, 2017. "Case Studies of Environmental Visualization," Energies, MDPI, vol. 10(10), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1459-:d:112744
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/10/1459/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/10/1459/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    2. Ray Pritchard & Scott Kelly, 2017. "Realising Operational Energy Performance in Non-Domestic Buildings: Lessons Learnt from Initiatives Applied in Cambridge," Sustainability, MDPI, vol. 9(8), pages 1-21, August.
    3. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    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. Jan K. Kazak & Małgorzata Świąder, 2018. "SOLIS—A Novel Decision Support Tool for the Assessment of Solar Radiation in ArcGIS," Energies, MDPI, vol. 11(8), pages 1-12, August.

    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. Bai, Yefei & Yu, Cong & Pan, Wei, 2024. "Systematic examination of energy performance gap in low-energy buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    2. Valeria Palomba & Emiliano Borri & Antonios Charalampidis & Andrea Frazzica & Sotirios Karellas & Luisa F. Cabeza, 2021. "An Innovative Solar-Biomass Energy System to Increase the Share of Renewables in Office Buildings," Energies, MDPI, vol. 14(4), pages 1-25, February.
    3. Jakob Carlander & Bahram Moshfegh & Jan Akander & Fredrik Karlsson, 2020. "Effects on Energy Demand in an Office Building Considering Location, Orientation, Façade Design and Internal Heat Gains—A Parametric Study," Energies, MDPI, vol. 13(23), pages 1-22, November.
    4. Chou, Jui-Sheng & Tran, Duc-Son, 2018. "Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders," Energy, Elsevier, vol. 165(PB), pages 709-726.
    5. Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).
    6. Toparlar, Y. & Blocken, B. & Maiheu, B. & van Heijst, G.J.F., 2018. "Impact of urban microclimate on summertime building cooling demand: A parametric analysis for Antwerp, Belgium," Applied Energy, Elsevier, vol. 228(C), pages 852-872.
    7. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    8. Abdulazeez Rotimi & Ali Bahadori-Jahromi & Anastasia Mylona & Paulina Godfrey & Darren Cook, 2017. "Estimation and Validation of Energy Consumption in UK Existing Hotel Building Using Dynamic Simulation Software," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    9. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    10. 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).
    11. Zulay Giménez & Claudio Mourgues & Luis F. Alarcón & Harrison Mesa & Eugenio Pellicer, 2020. "Value Analysis Model to Support the Building Design Process," Sustainability, MDPI, vol. 12(10), pages 1-24, May.
    12. Naylor, Sophie & Gillott, Mark & Lau, Tom, 2018. "A review of occupant-centric building control strategies to reduce building energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 1-10.
    13. Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.
    14. 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.
    15. Arno E. Scheepens & Joost G. Vogtländer, 2018. "Insulation or Smart Temperature Control for Domestic Heating: A Combined Analysis of the Costs, the Eco-Costs, the Customer Perceived Value, and the Rebound Effect of Energy Saving," Sustainability, MDPI, vol. 10(9), pages 1-24, September.
    16. Zhao, Dong-Xue & He, Bao-Jie & Johnson, Christine & Mou, Ben, 2015. "Social problems of green buildings: From the humanistic needs to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1594-1609.
    17. Ljubomir Jankovic, 2016. "Reducing Simulation Performance Gap in Hemp-Lime Buildings Using Fourier Filtering †," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    18. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    19. Pisello, Anna Laura & Asdrubali, Francesco, 2014. "Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies," Applied Energy, Elsevier, vol. 133(C), pages 224-235.
    20. Hana Begić Juričić & Hrvoje Krstić & Mihaela Domazetović, 2025. "Analyzing the Carbon Performance Gap and Thermal Energy Performance Gap of School Buildings in Osijek-Baranja County, Croatia," Energies, MDPI, vol. 18(7), pages 1-21, April.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:10:y:2017:i:10:p:1459-:d:112744. 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.