Data For Sustainable Energy (D4SE) Pathways Grant : Business analysis and marker research

可持续能源数据 (D4SE) 途径资助:业务分析和标记研究

基本信息

  • 批准号:
    NE/R002118/1
  • 负责人:
  • 金额:
    $ 1.51万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2017
  • 资助国家:
    英国
  • 起止时间:
    2017 至 无数据
  • 项目状态:
    已结题

项目摘要

Renewable energy project can be complex to deliver. The factors that affect the successes of a renewable project are not just technical but also political. For example, shallow geothermal heat projects are affected by technical parameters like slope aspect, geology and permeability but also constraints intended to make project both safe and acceptable to the local population, such as proximity to major infrastructure or within protected area likes Sites of Special Scientific Interest; Areas of Outstanding Natural Beauty; National Parks etc. Data4SustainableEnergy (D4SE) is intended to help solve this problem by compiling all of these information sources together and assesses the suitability of a site for many different types of Renewable Energy Technology. The system provides advice as to which is the best technology to pursue on that site and provides a single score which can be understood by a user without specialist geological knowledge. The weighting of the various factors that control both the resources and the constraints are assessed using a technical approach called Multi-Criteria Decision Analysis advised by experts who advised on installation of renewable energy technologies. These outputs are presented using a webGIS to end users. However there are many potential imaginable end-users for this system - Landowners with single sites to develop aiming to maximise revenue and minimise installation expenditure- Landowners with multiple, site seeking to choose the best technology for the best site - Renewable energy industry consultants and installers to help them advise clients and maximise revenue - Local authorities seeking to control land use to greatest benefit. Each of these users has somewhat different requirements in terms of the data that they need and precisely how it is presented. We also need to understand:- how each group might use the information that is provided to aid that business, - the scale of the total market and thus the opportunity that is present and - the potential charges that BGS could reasonably charge for access to this information Market research will help us understand the parameters and then quantify the best approach for developing this idea in the future.
可再生能源项目的交付可能很复杂。影响可再生能源项目成功的因素不仅是技术因素,还有政治因素。例如,浅层地热项目受技术参数的影响,如坡度,地质和渗透性,但也有限制,旨在使项目既安全又能为当地居民所接受,如靠近主要基础设施或在保护区内,如具有特殊科学价值的地点;杰出的自然美景区; Data 4SustainableEnergy(D4 SE)旨在通过将所有这些信息源汇编在一起并评估一个站点对许多不同类型的可再生能源技术的适用性来帮助解决这个问题。该系统提供关于在该地点采用哪种最佳技术的建议,并提供一个单一的分数,该分数可以被没有专业地质知识的用户理解。控制资源和限制因素的各种因素的权重使用一种称为多标准决策分析的技术方法进行评估,该方法由建议安装可再生能源技术的专家提供建议。这些产出通过网络地理信息系统提供给最终用户。然而,该系统有许多潜在的可想象的最终用户-开发单一站点的土地所有者,旨在最大限度地提高收入并最大限度地减少安装支出-拥有多个站点的土地所有者,寻求为最佳站点选择最佳技术-可再生能源行业顾问和安装人员,以帮助他们为客户提供建议并最大限度地提高收入-地方当局寻求控制土地使用以获得最大利益。这些用户中的每一个在他们需要的数据以及如何精确地呈现数据方面都有一些不同的要求。我们还需要了解:-每个团体如何使用所提供的信息来帮助该业务,-整个市场的规模,因此存在的机会,以及-BGS可以合理收取访问此信息的潜在费用市场研究将帮助我们了解参数,然后量化未来发展此想法的最佳方法。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using multi-criteria decision analysis to evaluate the feasibility of Renewable Energy Technologies and Sites - the Data4Sustain Web GIS decision support too
使用多标准决策分析来评估可再生能源技术和站点的可行性 - Data4Sustain Web GIS 决策支持
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nathanail, J
  • 通讯作者:
    Nathanail, J
A Decision Support System to Assess the Feasibility of Onshore Renewable Energy Infrastructure
  • DOI:
    10.2139/ssrn.3986807
  • 发表时间:
    2022-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Beriro;J. Nathanail;J. Salazar;A. Kingdon;A. Marchant;Steve Richardson;Andy Gillet;Svea Rautenberg;Ellis B. Hammond;John Beardmore;T. Moore;Phil Angus;Julie A. Waldron;Lucelia Rodrigues;P. Nathanail
  • 通讯作者:
    D. Beriro;J. Nathanail;J. Salazar;A. Kingdon;A. Marchant;Steve Richardson;Andy Gillet;Svea Rautenberg;Ellis B. Hammond;John Beardmore;T. Moore;Phil Angus;Julie A. Waldron;Lucelia Rodrigues;P. Nathanail
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Andrew Kingdon其他文献

Correction to: Pore Scale Numerical Modelling of Geological Carbon Storage Through Mineral Trapping Using True Pore Geometries
  • DOI:
    10.1007/s11242-022-01785-5
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
    2.600
  • 作者:
    Ryan L. Payton;Yizhuo Sun;Domenico Chiarella;Andrew Kingdon
  • 通讯作者:
    Andrew Kingdon

Andrew Kingdon的其他文献

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{{ truncateString('Andrew Kingdon', 18)}}的其他基金

Impact of hydraulic fracturing in the overburden of shale resource plays: Process-based evaluation (SHAPE-UK)
水力压裂对页岩资源区覆盖层的影响:基于过程的评估 (SHAPE-UK)
  • 批准号:
    NE/R01745X/1
  • 财政年份:
    2018
  • 资助金额:
    $ 1.51万
  • 项目类别:
    Research Grant

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