Award

Storage Evidence for the Dynamic Dispatch Model

BUSINESS ENERGY AND INDUSTRIAL STRATEGY

This public procurement record has 4 releases in its history.

Award

02 May 2018 at 09:43

TenderAmendment

23 Jan 2018 at 10:26

TenderAmendment

18 Jan 2018 at 14:49

Tender

05 Jan 2018 at 10:27

Summary of the contracting process

The Business Energy and Industrial Strategy (BEIS) is currently engaged in a procurement process titled "Storage Evidence for the Dynamic Dispatch Model", aimed at obtaining robust technical and cost assumptions for electricity storage technologies from 2010 to 2050. This service falls under the research and development industry category and is taking place in London, England. The tender period for submitting proposals ends on 25th January 2017, with the contract expected to commence on 5th February 2018 and conclude by 31st March 2018. This open procurement method is focused on a comprehensive approach to researching various storage technologies.

This procurement presents significant opportunities for businesses specialising in energy storage solutions, research and development services, and consultancy. Companies that can demonstrate expertise in deriving and analysing technical data, along with robust cost models for electricity storage technologies, will find this tender particularly relevant. Moreover, small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprises (VCSEs) are encouraged to participate, making this a viable prospect for a broad spectrum of businesses looking to expand their operations in the energy sector.

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Notice Title

Storage Evidence for the Dynamic Dispatch Model

Notice Description

BEIS wishes to procure robust technical and cost assumptions for a representative set of electricity storage technologies out to 2050 for its Dynamic Dispatch Model. Other key deliverables are the QA & assumptions logs, underlying data/analysis plus methodology and publishable summary reports. Contractors are invited to set out their proposed methodology on how to derive a robust and consistent set of technical and cost assumptions for different types of electricity storage technologies that have been and are likely to be deployed between 2010 -2050. Contractors need to ensure that these assumptions can be easily updated in the future. These assumptions will feed in to BEIS's Dynamic Dispatch Model. BEIS specifically wishes to procure the following information: 1. A set of assumptions for an agreed number of electricity storage 'types': The contractor is expected to summarise all of the possible electricity storage technologies (including key attributes e.g. technical/cost/primary use, etc.) that they consider may be in scope and provide a justification as to why they are considered to be in scope. The contractor will then be expected to make a recommendation on how to create a set of representative electricity storage types that BEIS can use in its modelling (covering the period from 2010 to 2050). BEIS envisages around five technologies or "proxy technologies" if the evidence suggests that some technologies could be grouped together given their similarities. 2. Technical input assumptions for the agreed types of electricity storage: BEIS wishes to procure robust technical reference parameters for electricity storage technology types commissioning from 2010 to 2050. The indicative list of the type of technical assumptions that are being sought is as follows: Plant capacities, durations, energy/capacity ratios, round trip efficiencies, life cycles, charge/discharge profiles, degradation profiles, annual build limits and construction time. 3. Cost input assumptions for the agreed types of electricity storage technologies: BEIS wishes to procure (high, medium, low) cost profiles for different types of electricity storage technologies from 2010 to 2050. The indicative list of the type of cost assumptions that are being sought is as follows: Pre-development costs, construction costs and operational costs. 4. A tool which allows costs to be adjusted over time to cover the period 2010-2050: BEIS wishes to procure a tool which will enable the cost profiles to be updated over time. This might include experience curves and indexes to relevant sources on deployment/prices. The key deliverables expected from this project are: QA and assumptions logs, underlying data/evidence/analysis, spreadsheets with the final cost and technical assumptions, a spreadsheet tool, a methodology report and a publishable summary report on the final electricity storage assumptions. Additional information: How to Apply: If you wish to take part in this procurement, please see the attached Tender documents attached to this Notice and send your completed Proposal to Pamela Howie and Nazish Choudery at the e-mail addresses stipulated in the "Who to Contact" section and in the ITT. Please note that Section E 'Terms and conditions applying to this Invitation to Tender' (page 6) of the ITT document was updated on 18/01/2018. Please also be aware that completing Section 8.1 of the Standard Selection Questionnaire included as part of the ITT is not compulsory. See the Q&A log in 'Attachments' above for further information. Any late submissions will not be considered. BEIS reserves the right to halt the procurement process and to not award a contract. BEIS will not be held liable for the recovery of costs from unsuccessful bids if a contract is not awarded. All costs will be borne by the bidding organisations. If a contract is created it will be upon BEIS Standard Terms and Conditions which are available on Contracts Finder with this notice. Completed tender submissions must be returned by e-mail to BEIS, to the e-mail addresses given in this advertisement (Pamela.Howie@beis.gov.uk and Nazish.Choudery@beis.gov.uk) by 11am on 25th January 2017. After reviewing and evaluating the written proposals, BEIS may decide to hold bid clarification meetings with suppliers. If successful and upon contract signature, the supplier is expected to attend a kick-off meeting taking place on 5th February 2018 (or shortly thereafter). Project completion is required by 31st March 2018.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-43147aba-ee26-41a2-a2bc-a6cdbc2610df
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/136dfb95-b893-4cdb-9ca2-29779173da49
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure (below threshold)
Tender Suitability
SME, VCSE
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£40,000 Under £100K
Lots Value
Not specified
Awards Value
£36,276 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
2 May 20187 years ago
Submission Deadline
25 Jan 2018Expired
Future Notice Date
Not specified
Award Date
2 Feb 20188 years ago
Contract Period
9 Feb 2018 - 6 Apr 2018 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
BUSINESS ENERGY AND INDUSTRIAL STRATEGY
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SW1H 0ET
Post Town
South West London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
Not specified

Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

MOTT MACDONALD

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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