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Upside

Upside
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批准号:
EP/M507155/1
负责人:
John Moriarty
金额:
$6.05万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
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中文摘要
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英文摘要
Our research will have three parts. First we will perform state of the art statistical modelling of CO2 intensity in UKelectricity generation. This will provide powerful statistical representations of daily variation in the use of CO2 intensivefuels (principally coal and gas), taking into account both seasonal and within-day fluctuations.Second, we will develop a method to generate daily carbon intensity profile predictions (for both average level andstatistical variation).Third, we will produce a control algorithm to generate UPS recharging schedules optimised for the lowest carbon intensity.This will provide day-ahead schedules which aim to minimise the CO2 produced in recharging the UPS fleet, by taking intoaccount the abovementioned statistical models.The above statistical models and generated control policies will also be published by Upside as part of their open sourceapproach, adding to the rich real-time UK grid data available to the public.
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Markov chain optimisation for energy systems (Ext.)
  • 批准号:
    EP/P002625/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $73.5万
  • 财政年份:
    2017
  • 负责人:
    John Moriarty
  • 依托单位:
Optimal Prediction in Local Electricity Markets
  • 批准号:
    EP/K00557X/2
  • 项目类别:
    Fellowship
  • 资助金额:
    $27.36万
  • 财政年份:
    2015
  • 负责人:
    John Moriarty
  • 依托单位:
Optimal Prediction in Local Electricity Markets
  • 批准号:
    EP/K00557X/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $72.58万
  • 财政年份:
    2013
  • 负责人:
    John Moriarty
  • 依托单位:
Mutating Messages - A Public Experiment
  • 批准号:
    EP/I017615/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $2.06万
  • 财政年份:
    2011
  • 负责人:
    John Moriarty
  • 依托单位:
海外基金