Projects
Projects: Projects for Investigator |
||
| Reference Number | NIA2_NGET0026 | |
| Title | Energy water nexus | |
| Status | Started | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy Models) 20%; Other Power and Storage Technologies(Electricity transmission and distribution) 75%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 5%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 80%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 20%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 80%; Systems Analysis related to energy R&D (Energy modelling) 20%; |
|
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2023 | |
| End Date | 30 November 2024 | |
| Duration | ENA months | |
| Total Grant Value | £667,543 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (100.000%) |
| Industrial Collaborator | Project Contact , National Grid Gas Transmission (0.000%) Project Contact , National Grid Electricity Transmission (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA2_NGET0026 |
|
| Objectives | "This project will assess the implications of water constraints and the energy-related demand for water on both energy and water sectors, with subsequent focus on the potential implications for energy transmission networks.A consortium will work to define technology-based, temporal and geospatial water constraints out to 2050 before using the whole energy systems model to analyse how these projections (and associated uncertainties) could impact least-cost energy system design and water sector resource planning. By representing joint probability stress events across the two sectors, this project will also use a Power Factory-based approach to quantify operational constraints faced by the electricity transmission network. The work will provide evidence for identifying long-term risks of climate change related to water constraints on energy systems. By understanding the risks, the project will identify innovations and opportunities that could minimise exposure to costs associated with high water constraints.Data Quality Statement (DQS): The project will be delivered under the NIA framework in line with OFGEM, ENA and NGET internal policy. Data produced as part of this project will be subject to quality assurance to ensure that the information produced with each deliverable is accurate to the best of our knowledge and sources of information are appropriately documented. All deliverables and project outputs will be stored on our internal SharePoint platform, ensuring backup and version management. Relevant project documentation and reports will also be made available on the ENA Smarter Networks Portal, and dissemination material will be shared with the relevant stakeholders.Measurement Quality Statement (MQS): The methodology used in this project will be subject to suppliers own quality assurance regime and the source of data, measurement process and equipment as well as data processing will be clearly documented and verifiable. The measurements, designs and economic assessments will also be clearly documented in the relevant deliverables and final project report and made available for review. Risk Assessment and AuditIn line with the ENAs ENIP document, the risk rating is scored low. TRL Steps = 1 (2 TRL step) Cost = 2(£667,544) Suppliers = 1 (2 suppliers) Data Assumption = 1 (Defined assumptions and principles) " "Task 1: Data developmentThe representation of water constraints impacting potential energy system strategy - including spatially disaggregated water availability to 2050, assessment of coastal siting constraints and definition of water consumption characteristics of energy system assets. Task 2: Database of near term planned energy and water system developments The database will include major energy generation, transmission, and water transmission projects that are in planning, approved and under construction. Weighting factors will be agreed and applied to those not currently in operation to represent uncertainty of completion. The technologies that are not in planning but have policy-based targets within scenarios will be considered.Deliverable 1: (Informed by Task 1 and Task 2)An Excel database containing all data and assumptions collated for this project, including technology water demand characteristics, technology siting locations (excluding Nuclear due to confidentiality), characteristics of peak conditions and near term planned water/energy system developments.Task 3: Development of peak conditionsThis task will encompass conditions that will impose high stress on the energy system as a function of water constraints, energy demands and weather conditions. These will be used to define test conditions to understand the impact of short-term water stress on energy system assets. Deliverable 2: (Informed by Task 1 and Task 3)Slide deck and presentation of significant interactions between energy and water systems, their magnitude and the approach taken to integrate within the modelling environments to be used in this project. This deliverable will also present the joint probability peak conditions developed within this work, including the method taken, descriptions of the peak conditions and initial interpretation of their significance.Task 4: Model net zero energy system scenariosBy combining energy system scenarios with water system scenarios across different extents of climate change and water infrastructure development, assess the climate change impact on water constraints and how these constraints will affect the design and operation of low carbon energy system.Deliverable 3: (Informed by Task 4)Slide deck and presentation of the whole energy system modelling scenarios and the implications of water stress conditions on the electricity and gas transmission network in GB. This will present the results of whole energy system optimisation modelling and analysis with system transition pathways to 2050, the methodology and key impacts of water constraints on whole energy system designTask 5: Analyse the impactsImpacts on electricity transmission network reinforcements. The two scenarios with highest potential reinforcement need will be identified and further power-flow analysis will be carried out. These scenarios will be compared to a base case with no water constraints to quantify the impact on infrastructure.Deliverable 4: (Informed by Task 5)Slide deck and presentation of the network analysis and the implications of water stress conditions on the electricity transmission network in GB, including:A short list of peak snapshot conditionsComparison of network requirements for 2050 for a water constrained network compared to a base caseOperational impact of peak snapshot conditions.Task 6: Identify opportunities to innovateBuilding on the analysis, identify opportunities and methods to mitigate identified risks for National Grid Electricity Transmission, alongside the wider energy and water sectors.Deliverable 6: Final Report - The report which will include the background to the work, the methodology, the results, analysis of implications and innovation opportunities. " "The key objectives of this work are Qualitative/quantitative analysis of the implications of water constraints and the energy-related demand for water on both energy and water sectors.Identification of the key risks to the energy system due to water constraints and identify innovation opportunities." | |
| Abstract | This project will define technology-based, temporal, and geospatial water constraints to 2050, then use whole energy systems modelling to analyse how these projections (and associated uncertainties) could impact the least cost energy system design. By representing joint probability stress events across the two sectors, this project will also use a Power Factory-based approach to quantify operational constraints faced by the electricity transmission network. | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 18/10/23 | |
