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9 dokumentów dostępnych z podsumowaniami AI
The bidder must submit confirmations of compliance with tender procedures, absence of sanctions, and awareness of all tender document requirements.
The contracting authority, University of Tartu, will evaluate bids for wind turbine noise modeling primarily based on the total bid price, where the lowest price receives the maximum score.
The Procurement Pass, or European Single Procurement Document (ESPD), is a bidder's self-declaration serving as preliminary evidence instead of certificates issued by authorities or third parties, and includes conditions set by the contracting authority.
This document provides instructions for participating in the procurement procedure, clarifying the base documents, communication, and submission process for bids.
Bidders must submit a technical description for modeling wind turbine noise, including details of the software and methods used, according to the provided standards and scenarios.
This document is a power of attorney authorizing a bidder's representative to submit a bid for Tartu University's public procurement tender "Modeling of noise from wind turbines".
This document is a joint bidder authorization and confirmation, empowering one joint bidder to represent others in submitting a bid and fulfilling the contract, confirming joint and several liability.
This document is a draft contract outlining the terms, objective, deadline, cost, and obligations of the parties for the wind turbine noise modeling service.
The University of Tartu invites bidders to participate in an open tender procedure for modeling wind turbine noise, with proposals to be submitted electronically via eRHR by March 17, 2026, at 2:00 PM.
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This tender for wind turbine noise modeling is generally well-structured with clear requirements and a straightforward evaluation process. However, it lacks explicit sustainability considerations and has some minor practical limitations regarding document access.
The tender appears to comply with general legal requirements for public procurement. Deadlines are specified and seem reasonable for the scope. The CPV code is provided, and there is no indication of existing disputes or regulatory non-compliance. The procedure type (Open Procedure) is standard.
The tender provides a clear title and description of the service required. The AI-extracted requirements further detail the technical and submission stipulations. The evaluation criteria are mentioned as 'relative_weighting', suggesting a structured approach, though specifics of non-price criteria are not detailed beyond the primary cost focus.
Most essential information is present, including estimated value, contract duration, and reveal/opening dates. Key documents like the technical specification, draft contract, and required authorization forms are attached or referenced. However, the specific details for 'relative_weighting' evaluation beyond price are not fully elaborated in the provided AI-extracted text.
The tender is an open procedure, and bidders are allowed to offer equivalent products, which promotes fairness. The evaluation is primarily based on price, which is transparent. The use of ESPD as preliminary evidence is a standard fair practice. Access to documents is provided via URLs and attachments.
The tender mandates electronic submission, which is practical. However, one of the ESPD documents is in an XML format not supported for AI analysis, which might pose a minor hurdle for some bidders' automated processing. The contract start date is not explicitly stated, only the duration.
Key fields such as title, reference, organization, value, and deadlines are consistently populated. There are no indications of suspension or disputes. The dates provided (Reveal, Submission Deadline, Opening) are logical in sequence.
The tender does not explicitly mention any green procurement criteria, social aspects, or innovation focus. While EU funding is not explicitly stated, it is common for public tenders. The lack of specific sustainability clauses limits this score.
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