Anglia Ruskin University ARU Featured PhD Programmes
Anglia Ruskin University ARU Featured PhD Programmes

BIM Model enrichment for Energy Performance Simulation

Institute for Environmental Design and Engineering

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Dr D Rovas Applications accepted all year round

About the Project

To devise, implement and test a method for enriching as-is building geometric data with energy performance data. The ESR will: (1) perform a gap analysis on current methodologies for automated generation of energy performance simulation models from BIM data; (2) devise and implement a method for semantically enriching BIM geometry such that it can be used for energy simulations through identification of 2nd-level space boundaries and neighbouring shading surfaces; (3) design and implement an extraction, transformation and loading component that maps BIM data to input data dictionaries of major energy performance simulation engines (e.g. the open source EnergyPlus engine); (4) develop methods to a posteriori characterise the quality of the generated simulation models. Expected Results: A prototype implementation of a method for enriching as-is BIM data (as created in WP1) for energy performance simulation uses. The focus of the work will be on integration of thermal property and weather data, and data completeness checkers. Once the method is implemented it will be tested in data-sets generated by WP1. The work in this project is expected to address the problem of automated generation of energy performance simulation models.

This ESR position is part of the CBIM network, a consortium of European partners with complementary world-leading expertise from academia and industry, is offering 14 fully funded PhD and one Post Doc position for highly talented people who are eligible for study at any one of its partner universities. Each ESR will be employed full time at one of the CBIM partner universities or at one of the three CBIM beneficiary companies. Those employed directly by the universities will enrol for PhD study at the same university; those employed by partner companies will enrol at one of the five universities for external PhD studies. CBIM is funded by the EU Horizon 2020 program under the Marie Skłodowska-Curie Innovative Training Network call under grant no. 860555.
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Recruitment, Eligibility and Mobility
Successful candidates will be employed for a maximum period of three years full-time equivalent and receive a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment.
 All researchers recruited in a Marie Sklodowska-Curie ITN must be Early-Stage Researchers (ESRs). An ESR shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
 Researchers are required to undertake transnational mobility (i.e. move from one country to another) when taking up their appointment. One general rule applies to the appointment of researchers: on the date of recruitment by the host beneficiary, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host beneficiary for more than 12 months in the 3 years immediately prior to the reference date. Note that the mobility rule applies to the beneficiary where the researcher is recruited, and not to beneficiaries to which the researcher is sent or seconded. Date of Recruitment normally means the first day of the employment of the fellow for the purposes of the project (i.e. the starting date indicated in the employment contract or equivalent direct contract).
 Researchers can be of any nationality.
 There is no age limit.
 Applicants must hold a research (thesis) Master’s degree in engineering, architecture or computer science.
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