Big data in service of BIM/BEM: building energy audit and commissioning

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Students: Mathieu BOURDEAU (PhD candidate)

Collaboration: Shanghai Jiao Tong Univ., IFSTTAR, EFFICACITY

Figure 1 : Smart energy meters and massive sensor deployement make building audit more efficient and precise

Abstract

We combine bigdata-based and physics-based modelling to carry out the dynamic hybrid building-district trans-scale mapping of the energy demand. We also introduce IA algorithms such as Artificial Neural Network (ANN) technology to predict utility demand and extended to take into account large scale city and localized energy inputs with their associated variables such as weather, time of day, season etc. A robust and hybrid multi-scale energy model is developed different energy utilities.

This hybrid approach can be used in semi-automated building audit to more precisely predict the retrofitting effects or to evaluate energy performances of some BBC / BEPOS (from low-energy to energy positive) buildings.

We also collect and analyze pilot case studies data and make the maximal use of recent smart energy meters (Linky and Gazpar). We create open access software that will be online. We already have experience in this through the French EFFICACITY project (Recov’Heat tool). Collaboration with IBM has been a lesson regarding the powerful IT tools that we can use to facilitate the dissimilation of research data through many ways: online database, estimation or simulation platform, online poll and analysis, collaborative co-working space, etc.

Figure 2 : District scale energy management used in one of our European projects “SweetCities”

Publications

[1] Mathieu Bourdeau, Xiaofeng Guo, Elyes Nefzaoui, Buildings energy consumption generation gap: A post-occupancy assessment in a case study of three higher education buildings, Energy and Buildings, Volume 159, 15 January 2018, Pages 600-611, https://doi.org/10.1016/j.enbuild.2017.11.062. fulltext

[2] Yacine Allab, Margot Pellegrino, Xiaofeng Guo, Elyes Nefzaoui, Andrea Kindinis, Energy and comfort assessment in educational building: case study in a French university campus, Energy and Buildings, Volume 143, 15 May 2017, Pages 202-219, https://doi.org/10.1016/j.enbuild.2016.11.028. fulltext

[3] Xiaofeng Guo, Alain Pascal Goumba, Air source heat pump for domestic hot water supply: performance comparison between individual and building scale installations, Energy, 164 (2018), 794-802, https://doi.org/10.1016/j.energy.2018.09.065. fulltext

Grants

- iSITE FUTURE

- Building energy audit in educational buildings, EFFICACITY

- CSC Shanghai Jiao Tong University

- PHC Xu Guangqi, MEAE Campus France

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