Using Demand Flexing to Transform Indoor Farms into Renewable Energy Assets

利用需求弹性将室内农场转变为可再生能源资产

基本信息

  • 批准号:
    BB/Z514469/1
  • 负责人:
  • 金额:
    $ 35.52万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2024
  • 资助国家:
    英国
  • 起止时间:
    2024 至 无数据
  • 项目状态:
    未结题

项目摘要

In this project we will demonstrate how coordinating renewable energy availability with energy expenditure enables PACE horticulture facilities to be an asset to the evolving smart energy grid.The lack of fruit and vegetables on supermarket shelves this spring arose from a multitude of factors, including high energy prices discouraging UK growers from planting protected horticultural crops during winter 2021/22. Lighting, heating, and ventilation each contribute to energy bills for growers but lighting can comprise 70% of these costs in indoor farms and light intensity is immediately responsive to energy consumption (in contrast to heating and ventilation which vary over longer time periods). Our ultimate goal is to allow PACE horticulture infrastructure to present itself as a "shiftable load" to the electricity grid. This type of demand flexibility management is often deployed in complex, time-critical industrial processes where power consumption schedules can be varied provided that the final product falls within acceptable tolerances. Demand flexing has significant commercial advantages and will be increasingly important as controllable (fossil fuel) energy generation decreases as a proportion of our electricity supply.Despite the potential advantages of demand flexing for PACE horticulture we still need to determine how crop growth is affected by varied light irradiation. Plants alter their development dependent on prevailing environmental conditions. Varied light regimes consequently produce variation within the crops produced. We can control this 'developmental plasticity' by genetically manipulating the signalling pathways which control plants responses to light. We will assess whether previously generated 'timeless' plants (which we have designed to respond uniformly to light signals) are better able to maintain crop yield, quality, and uniformity when demand flexing is applied.In this project we have three distinct aims;1) We need to demonstrate that demand flexing is applicable in PACE horticulture so that we can optimise energy usage whilst maximising crop productivity.2) We need to understand how demand flexing can be integrated with existing flexible light regimes to maximise crop yield and quality.3) We need to confirm that our genetically engineered 'timeless' plants have uniform performance during demand flexing so that we can maximise crop productivity and achieve Net Zero goals.ObjectivesWe will exploit our understanding of crop photobiology and existing genetic resources to understand how best to apply demand flexing to PACE horticulture.1) We will assess the growth and biochemical characteristics of crops grown under exemplar demand flexing schemes to demonstrate the utility of this approach.2) We will assess how demand flexing can be integrated with a varied light regime to maximise crop yield.3) We will assess the performance of 'timeless' plants in PACE horticulture so that we can maximise crop productivity during the application of demand flexing.Applications and BenefitsThe positioning of PACE horticulture as flexible assets in the evolving smart electricity grid will have commercial benefits for growers and will enhance the viability of the industry. Increased commercial viability of PACE horticulture will allow the distribution of infrastructure alongside sites of renewable energy generation. This distributed production will have societal benefits beyond those conferred by their produce alone. For instance, a distributed placement of smaller scale indoor farms within communities will reduce food mileage and provide job opportunities within these areas, enabling a Just Transition in energy use.
在这个项目中,我们将展示如何协调可再生能源供应与能源支出,使PACE园艺设施成为不断发展的智能电网的资产。今年春天超市货架上水果和蔬菜的缺乏是由多种因素造成的,包括高能源价格阻碍英国种植者在2021/22冬季种植受保护的园艺作物。照明、供暖和通风都是种植者的能源账单,但照明可能占室内农场这些成本的70%,而且光照强度会立即对能源消耗做出反应(与供暖和通风不同,后者会在较长时间内发生变化)。我们的最终目标是让PACE园艺基础设施成为电网的“可转移负载”。这种类型的需求灵活性管理通常部署在复杂的、时间关键的工业过程中,在这些过程中,如果最终产品福尔斯落在可接受的容差内,则功耗计划可以变化。需求弹性具有显著的商业优势,随着可控(化石燃料)能源发电在电力供应中所占比例的下降,需求弹性将变得越来越重要。尽管PACE园艺的需求弹性具有潜在优势,但我们仍需要确定作物生长如何受到不同光照的影响。植物根据当时的环境条件改变其发育。因此,不同的光照条件在所生产的作物中产生变化。我们可以通过基因操纵控制植物对光反应的信号通路来控制这种“发育可塑性”。我们将评估以前产生的“永恒”植物(我们设计了对光信号做出一致响应的)能够在应用需求柔性时更好地保持作物产量、质量和一致性。1)我们需要证明需求弹性适用于PACE园艺,这样我们就可以优化能源使用,同时最大限度地提高作物产量。我们需要了解需求弹性如何与现有的灵活光照制度相结合,以最大限度地提高作物产量和质量。我们需要确认我们的基因工程“永恒”植物在需求变化期间具有一致的性能,以便我们能够最大限度地提高作物产量并实现净零目标。目标我们将利用我们对作物光生物学和现有遗传资源的理解,了解如何最好地将需求灵活应用于PACE园艺。1)我们将评估在示范需求灵活方案下种植的作物的生长和生化特性,以证明这种方法的实用性。2)我们将评估需求灵活如何与不同的光照制度相结合,以最大限度地提高作物产量。3)我们将评估“永恒”植物在PACE园艺中的表现,以便我们在应用需求灵活性的过程中最大限度地提高作物产量。应用和效益PACE园艺在不断发展的智能电网中作为灵活资产的定位将具有商业价值。为种植者带来好处,并将增强该行业的生存能力。计算机设备行动伙伴关系园艺的商业可行性的提高将使基础设施能够分布在可再生能源发电地点旁边。这种分布式生产将产生超出其产品本身的社会效益。例如,在社区内分散布置小型室内农场将减少食物里程,并在这些地区提供就业机会,从而实现能源使用的公正过渡。

项目成果

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Matthew Jones其他文献

Improving the likelihood of neurology patients being examined using patient feedback
利用患者反馈提高神经科患者接受检查的可能性
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Appleton;A. Ilinca;A. Lindgren;A. Puschmann;M. Hbahbih;Khurram A. Siddiqui;R. de Silva;Matthew Jones;R. Butterworth;M. Willmot;T. Hayton;M. Lunn;D. Nicholl
  • 通讯作者:
    D. Nicholl
The ATLAS SCT Optoelectronics and the Associated Electrical Services
ATLAS SCT 光电及相关电气服务
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Abdesselam;O’Shea;R. Nickerson;B. Stugu;Y. Ikegami;P. Ratoff;T. Brodbeck;N. Hessey;G. Viehhauser;P. Jovanović;P. Dervan;B. Gallop;P. Phillips;A. Greenall;L. Eklund;A. Cheplakov;C. García;P. D. Renstrom;P. Allport;S. Lindsay;K. Jakobs;A. Tricoli;R. Bates;Cindro;P. Teng;T. Jones;T. Mcmahon;D. White;J. Mathesonu;C. Issever;J. Jackson;J. Meinhardt;M. Postranecky;P. Bell;G. Kramberger;E. Spencer;L. Feld;M. Ullán;R. Apsimon;J. Vossebeld;R. French;M. French;F. Hartjes;R. Brenner;S. Stapnes;T. Ekelof;D. Joos;N. Ujiie;B. Demirkoz;M. Mikuå;T. Kohriki;J. Pater;J. Dowell;J. Grosse;D. Charlton;L. Batchelor;C. Magrath;C. Buttar;J. Parzefall;C. Lester;M. Warren;M. Morrissey;H. Pernegger;C. Escobar;M. Chu;K. Sedlák;I. Mesmer;C. Macwaters;A. Chilingarov;J. Carter;A. Weidberg;J. Bizzell;J. Bernabeu;S. Lee;P. Kodyš;K. Runge;M. Turala;R. Wastie;M. Tadel;J. Wilson;R. Homer;M. Tyndel;S. Pagenis;A. Grillo;M. A. Parker;M. Lozano;S. Eckert;Matthew Jones;N. Smith;E. Margan;S. Terada;M. Goodrick;T. J. Fraser;J. Hill;A. Rudge;G. Hughes;Y. Unno;A. Robson;M. Webel;A. Nichols;A. Barr;Z. Doležal;L. Hou;G. Mahout;J. Fuster;P. Wells;R. Jones;I. Mandić
  • 通讯作者:
    I. Mandić
Quality investigation and variability analysis of GPS travel time data in Sydney
悉尼GPS旅行时间数据质量调查及变异性分析
The Radford Bombshell: Anglo-Australian-US Relations, Nuclear Weapons and the Defence of South East Asia, 1954-57
雷德福重磅炸弹:英澳美关系、核武器和东南亚防御,1954-57 年
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew Jones
  • 通讯作者:
    Matthew Jones
A framework for characterizing students’ cognitive processes related to informal best fit lines
用于描述学生与非正式最佳拟合线相关的认知过程的框架
  • DOI:
    10.1080/10986065.2018.1509418
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    Randall E. Groth;Matthew Jones;M. Knaub
  • 通讯作者:
    M. Knaub

Matthew Jones的其他文献

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{{ truncateString('Matthew Jones', 18)}}的其他基金

Collaborative Research: GEO OSE Track 2: QGreenland-Net: Open, connected data infrastructure for Greenland-focused geoscience, and beyond
合作研究:GEO OSE 第 2 轨:QGreenland-Net:面向格陵兰岛地球科学及其他领域的开放、互联数据基础设施
  • 批准号:
    2324766
  • 财政年份:
    2024
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Standard Grant
Hybrid Quantum System of Excitons and Superconductors
激子和超导体的混合量子系统
  • 批准号:
    EP/X038556/1
  • 财政年份:
    2023
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Research Grant
NERC-FAPESP Informed Greening of Cities for Urban Cooling (GreenCities)
NERC-FAPESP 为城市降温提供信息化城市绿化 (GreenCities)
  • 批准号:
    NE/X002772/1
  • 财政年份:
    2022
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Research Grant
CAREER: Leveraging Atomically-Precise Inorganic Clusters to Understand Nanoparticle Synthesis
职业:利用原子级精确的无机簇来理解纳米粒子的合成
  • 批准号:
    2145500
  • 财政年份:
    2022
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Continuing Grant
Climate change impacts on global wildfire ignitions by lightning and the safe management of landscape fuels
气候变化对闪电引发的全球野火和景观燃料安全管理的影响
  • 批准号:
    NE/V01417X/1
  • 财政年份:
    2022
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Fellowship
Reclaiming Forgotten Cities - Turning cities from vulnerable spaces to healthy places for people [RECLAIM]
夺回被遗忘的城市 - 将城市从脆弱的空间转变为人们健康的地方 [RECLAIM]
  • 批准号:
    EP/W033984/1
  • 财政年份:
    2022
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Research Grant
Defragmenting the fragmented urban landscape (DEFRAG)
对支离破碎的城市景观进行碎片整理 (DEFRAG)
  • 批准号:
    NE/W002892/1
  • 财政年份:
    2021
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Research Grant
Advancing Arctic research and education through data preservation and reuse at the Arctic Data Center
通过北极数据中心的数据保存和再利用推进北极研究和教育
  • 批准号:
    2042102
  • 财政年份:
    2021
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Cooperative Agreement
CompCog: Bridging Levels of Analysis: Characterizing Algorithmic Models by Extreme Bayesian Priors
CompCog:桥接分析级别:通过极端贝叶斯先验表征算法模型
  • 批准号:
    2020906
  • 财政年份:
    2020
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Standard Grant
Investigating Ugandan crater lake water quality and hydrology using novel monitoring data sets.
使用新颖的监测数据集调查乌干达火山口湖水质和水文。
  • 批准号:
    NE/T014466/1
  • 财政年份:
    2020
  • 资助金额:
    $ 35.52万
  • 项目类别:
    Research Grant

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EstimatingLarge Demand Systems with MachineLearning Techniques
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  • 批准号:
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