Microgrids For Recs (Renewable Energy Communities): A Decision Support Tool Targeting The Agric[...] Bardi

Microgrids For Recs (Renewable Energy Communities): A Decision Support Tool Targeting The Agric[...]
Bardi
Emilia Romagna, Bardi

Organisation/Company: Università di Pavia

Research Field: Engineering

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 15 Jan 2025 - 23:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description The research project deals with the design of a suitable DSS (decision support system) helping to design the optimal configuration and secondary control laws of a hybrid microgrid (MG), suitable for specific users like agricultural Renewable Energy Communities (A-RECs).

The tool will provide indications among various choices: the best choice shall derive from a multicriteria evaluation, which shall be location specific.

The implementation will be performed by using Python and will allow to integrate the current platform, developed so far for the NODES project (Spoke 6, flagship Formidabilae, RM1) by Anglani's research group.

The phases to be developed in each term (for a total of 4 terms) are:

T1: Literature research on tools for MG design and RECs design T2: Data collection of the case study/case studies: the agricultural focus T3: Definition of the DSS framework T4: Implementation in Python and final reporting The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: http://www-assegni. unipv. it/bandi-dipartimenti-tipo-b/ Main Requirements Degree (with a course duration of not less than 4 years, as referred to in the pre-existing academic regulations pursuant to D. M.

n. 509/1999) or post-graduate degrees awarded by Italian or foreign Universities recognized as equivalent. Scientific or professional curriculum suitable for conducting the research activity. If available, any Ph. D. title (Art 2- par.

1). Further Specific Assessable Qualifications Scientific or professional curriculum that shows knowledge on optimal planning and/or energy management techniques, and/or experience with multicriteria decision support systems. If available, any Ph. D. title or evidence of enrollment into a PhD course. Scientific publications on the topics. Recommendation letters. Selection Process The application for admission to the selection procedure (dated and signed), the documents and publications considered useful for the evaluation must be submitted electronically, by visiting the following web page: https://pica. cineca. it/unipv by choosing the "Assegni di ricerca" item and selecting the Competition Notice you have chosen.

In order to register with the system, you must have an email address.

Following the guidelines published in the procedure, the applicant must enter all the information required for the application, enclosing all documents in electronic. PDF format.

The selection of candidates is carried out on the basis of qualifications, project and interview, supplemented by a test of knowledge of the foreign language (Art.

6 – par.

1).

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