| This dataset forms part of a comprehensive set of results derived from the CLNR project's network technology trials. |
Dataset: Distribution Substation, Electrical Energy Storage 100kVA 200kWh Autonomous Powerflow Management Trial |
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| This document is a review of the distribution network planning and design standards for the future low carbon electricity system, published 31st October 2014 |
Review of the Distribution Network Planning & Design Standards for the Future Low Carbon Electricity System |
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| Abstract from the paper 'Defining and evaluating the capacity value of distributed generation' which was accepted for publication by the journal IEEE Transactions on Power Systems |
Academic paper: Defining and evaluating the capacity value of distributed generation |
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| This presentation given by Northern Powergrid at the 2014 LCNI conference looks at the challenges faced by network operators in bringing innovative projects into business as usual. |
LCNI 2014: Northern Powergrid presentation on the road to smarter BAU |
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| This presentation given by Northern Powergrid discusses new commercial arrangements and flexibility propositions, trialled as part of the CLNR project |
LCNI 2014: Northern Powergrid presentation on influencing customer profiles & new interactions |
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| This presentation given by Northern Powergrid presents findings from demand side response (DSR) trials conducted with industrial and commercial customers. |
LCNI 2014: Northern Powergrid Presentation on I&C DSR |
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| This presentation given by Northern Powergrid sets out the company's social obligations |
LCNI 2014: Northern Powergrid presentation on social obligations |
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| This presentation was given by Northern Powergrid and sets out the company's postion on supporting community based energy projects, including its Community Energy Seed Fund, launched September 2014. |
LCNI 2014: Northern Powergrid presentation on community energy |
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| This presentation sets out the method and findings from the CLNR projects demand side response trials with industrial and commercial (I&C) customers. |
Smart Grid Forum (WS6) Presentation: I&C DSR |
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| This presentation sets out the method and latest findings from the CLNR projects demand side response trials with UK domestic electricity customers. |
Smart Grid Forum (WS6) Presentation: Consumer DSR |
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| Abstract from the paper 'Design and analysis of electrical energy storage demonstration projects on UK distribution networks' as published in the Applied Energy Journal |
Academic paper: Design and analysis of electrical energy storage demonstration projects on UK distribution networks |
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| IMechE Conference: Energy Storage 2014 |
IMechE Conference: Energy Storage 2014 – An integrated approach |
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| A summary report and guide to the CLNR load and generation datasets published August 2014 |
CLNR Customer Trials: A guide to the load and generation profiles |
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| Monitoring consumption & PV performance of customers with real-time notice via IHD of any excess generation |
Dataset (TC20 IHD): Domestic solar PV customers using in-home displays for manual in-premises balancing |
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| Monitoring consumption & PV performance of customers with automatic diversion of excess generation (normally exported to the grid) into hot water storage |
Dataset (TC20 Auto): Domestic solar PV customers with automatic in-premises balancing for hot water charging |
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| Monitoring of customer’s Air Source Heat Pump (ASHP) electrical power consumption |
Dataset (TC14): Domestic customers with air source heat pumps on direct control trials |
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| Monitoring the electrical power consumption & smart meter consumption of ASHP customers on a 3-rate tariff |
Dataset (TC12): Domestic customers with air source heat pump on time of use tariffs |
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| Monitoring of customers trialling direct control propositons |
Dataset (TC11a): Domestic Customers on the Smart Washing Machine Direct Control Trial |
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| Monitoring of customers' smart meter and a smart washing machine, with a 3-rate tariff. |
Dataset (TC10a): Domestic Customers on the Smart Washing Machine Restricted Hours Trial |
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| Monitoring half hourly data from smart meter customers on 3-rate Time of Use tariffs, depending on time of day |
Dataset (TC9a) – Domestic Smart Meter Customers on Time of Use Tariffs |
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