Doctorant (H/F) Développement D'une Base de

**I-Identification of the thesis project**

**1. Thesis title and fields**:

- **Thesis title in English**: Development of a Comprehensive Database and Optimal Flexibility Indicator for Smart Retrofitted Buildings.
- **Disciplinary field(s)**:building energy, building physics, building science, energy engineering.
- **Specialties**:building energy retrofit, demand response, building energy flexibility, database development, data analytics.
- **Keywords**:smart retrofit, database, energy efficiency, flexibility, Key Performance Indicators, grid interaction.

**2. Structure(s) and/or host laboratory(ies) where the doctoral student will be located**:

- Main location: LTDS team GCD, ENTPE.
- Name and address: LTDS/ENTPE: 3 rue Maurice Audin 69120 Vaulx-en-velin

**3. Supervision**
- Thesis supervisors:

- Mohamed El Mankibi, Research Director (DR1), ENTPE
- Nassim Sebaibi, Head of research Unit at Builders Lab, BUILDERS École d'ingénieurs, Builders Lab
- Thesis co-supervisors:

- Joud Aldakheel, Postdoctoral researcher.
- Rime Chehade, Temporary Teaching Researcher,

**II-Summary of the thesis project**

**1. **Context and aim**

However, despite the advancements in smart retrofitting, there are notable gaps in the availability of data on smart retrofitted buildings and the assessment of their performance. Quantitative analysis and validation of crucial aspects such as flexibility, demand-side management, advanced control systems, grid interaction, and renewable energy integration require access to real monitored data from smart retrofitting projects. The lack of a comprehensive and easily accessible database hampers research and validation efforts in the field, hindering the optimization and wider adoption of smart retrofitting practices. Furthermore, while flexibility indicators play a pivotal role in assessing the adaptive capabilities of smart retrofitted buildings, the lack of consensus and standardized calculation methodologies for flexibility indicators poses a challenge. Existing indicators often focus on a limited set of parameters and fail to capture the holistic nature of flexibility, which depends on factors such as energy storage systems, control systems, user behavior, and climate conditions. A comprehensive and optimal flexibility indicator is needed to accurately evaluate the ability of smart retrofitted buildings to adjust energy consumption and production dynamically.

To this end, the proposed PhD thesis aims to refine and develop an optimal flexibility indicator that encompasses the three properties of time, energy, and costs, providing a holistic assessment of the building's adaptability. Additionally, it aims at developing a comprehensive database that consolidates data on smart retrofitted buildings, facilitating data-driven research and validation efforts. The database will provide hourly data on building energy demands, consumption patterns, retrofitting interventions, renewable energy integration, storage performance, and grid interaction.

**2. **Innovative character of the thesis**:
This research aims to enhance the understanding of smart retrofitting practices, optimize system performance, and contribute to the advancement of sustainable building practices.

1. Literature Review: Conduct an extensive review of literature on smart retrofitting, data availability, database development, and flexibility indicators. Then identify research current gaps and opportunities.

2. Database Design and Implementation: Design and develop the framework for the comprehensive database.

3. Data Collection and Analysis: collaborate with ongoing research projects and initiatives to collect data from smart retrofitted buildings.

4. Flexibility Framework Integration: Enhance the existing definition of Flexibility. Develop an approach that integrates the three properties of flexibility: time, energy, and costs.

5. Flexibility Indicator development: Refine the definition and calculation methodology of the flexibility indicator, considering smart retrofitted buildings.

6. Collaboration and Documentation: assist with the database developments in RE-SKIN project.
- **Research Experience**:previous research experience in the areas of sustainable buildings, energy efficiency, or database development. Experience with research project and collaboration with multidisciplinary teams is desirable.
- **Technical Skills**: knowledge in database design and management, knowledge of Python, MATLAB and TRNSYS is required.

Type d'emploi : Temps plein

Salaire : 2 100,00€ par mois

Avantages:

- Prise en charge du transport quotidien

Programmation:

- Travail en journée

Lieu du poste : En présentiel