Criteria #3 The project deliverable is a software tool which can be used to develop and capability in comparing and analysing multiple network and enhance JEN’s options. In return to the upfront capital contribution and co-development effort, JEN can subscribe to the use of the software tool at a discounted price for the next two years after the completion of the development. Criteria #4 Non-tariff based Criteria #5 This criteria is met because expenditure for this project is not being recovered through any other jurisdictional, state or Australian Government scheme, nor through any other part of the distribution determination for the current regulatory control period. Criteria #6 Opex Grid Battery Energy Storage System Feasibility and Concept Design Study Project Overview JEN undertook a feasibility study into deploying a Grid Battery Energy Storage System (GESS) as a peak shaving technology and assessed its capability in economically addressing capacity constraints in a selected part of JEN. The project continued into the 2016 regulatory year and was completed in January 2016. JEN stated that as the study was limited to desktop modelling, analysis and simulation, there have been no quantifiable benefits in terms of reduction in peak demand. However, the learning from the study will be directly applicable when Jemena begins a trial deployment of a GESS in a constrained part of network. Jemena claimed JEN’s DMIA expenditure in 2016 of $22,300 for this project. Assessment against DMIA criteria Criteria #1 The project is aimed at developing capabilities to reduce peak JEN’s demand in constrained parts of the network, rather than increasing supply capacity through network augmentation. Criteria #2 The project is a peak demand management initiative which aims to address specific network constraints by reducing demand on the network at the location and time of the constraint. Criteria #3 The project deliverables are to develop capability in deploying GESS JEN’s as an effective, economic and efficient peak demand management solution. The primary objectives of the GESS feasibility and design study was to develop load data analysis and battery control simulation tools, which enable JEN to do high level design and assessment of GESSs as part of planning processes. Criteria #4 Non-tariff based
Criteria #3 The project deliverable is a software tool which can be used to develop and enhance JEN’s capability in comparing and analysing multiple network and options. In return to the upfront capital contribution and co-development effort, JEN can subscribe to the use of the software tool at a discounted price for the next two years after the completion of the development. Criteria #4 Non-tariff based Criteria #5 This criteria is met because expenditure for this project is not being recovered through any other jurisdictional, state or Australian Government scheme, nor through any other part of the distribution determination for the current regulatory control period. Criteria #6 Opex Grid Battery Energy Storage System Feasibility and Concept Design Study Project Overview JEN undertook a feasibility study into deploying a Grid Battery Energy Storage System (GESS) as a peak shaving technology and assessed its capability in economically addressing capacity constraints in a selected part of JEN. The project continued into the 2016 regulatory year and was completed in January 2016. JEN stated that as the study was limited to desktop modelling, analysis and simulation, there have been no quantifiable benefits in terms of reduction in peak demand. However, the learning from the study will be directly applicable when Jemena begins a trial deployment of a GESS in a constrained part of JEN’s network. Jemena claimed DMIA expenditure in 2016 of $22,300 for this project. Assessment against DMIA criteria Criteria #1 The project is aimed at developing JEN’s capabilities to reduce peak demand in constrained parts of the network, rather than increasing supply capacity through network augmentation. Criteria #2 The project is a peak demand management initiative which aims to address specific network constraints by reducing demand on the network at the location and time of the constraint. Criteria #3 The project deliverables are to develop JEN’s capability in deploying GESS as an effective, economic and efficient peak demand management solution. The primary objectives of the GESS feasibility and design study was to develop load data analysis and battery control simulation tools, which enable JEN to do high level design and assessment of GESSs as part of planning processes. Criteria #4 Non-tariff based
AER%20Decision%20-%20Demand%20management%20innovation%20allowance%20assessment%202014-15%2C%202015-16%20and%202016.docx