PyroPower Africa

拟议的项目将解决撒哈拉以南非洲原料供应不可靠的问题，办法是将100千瓦蒸汽涡轮机与热解蒸汽燃烧系统结合起来，避免生物质燃烧加热系统通常会产生的污垢、飞灰和结渣。将为农村移动的支付系统开发一个商业案例，使农民能够获得外国汇款，并使他们能够收到作物残留物的付款。最后，为使用碾米技术生产的稻壳的生物能源发电厂制定详细的商业案例，将能够进行详细的技术经济评估，以确定该解决方案与农村粮食生产系统结合时的可复制性。莱斯特大学的研究小组将在地理信息系统（GIS）中分析卫星地理编码图像和其他制图数据环境，为拟议的生物能源设施确定优化和智能的选址。卫星图像将用于查明现有的生产用户，如农场和小农户。与拟议项目的成功相关的是收集有关这种离网电力的潜在用户的信息，以确保他们能够支付电力费用，并增加收入和改善生计。在缺乏关于人口、住房、土地使用、农业活动和现有电网范围的基本基础设施数据的地方，可通过分析来自空间的数据来发现这类信息，这将通过从卫星数据中识别来实现（或从空间确认，如果该数据已经存在）该项目的目的是确定可能使用这一设备所发电力、但目前尚未并网的农村地区（住房、保健中心、学校），绘制这些村庄和社区周围的农业活动地图，并估算农业废物的产量。该团队将利用欧盟委员会最新的哥白尼卫星（哨兵1号和2号，任何人都可以免费访问）来识别农场、社区和贸易中心内及其周围的农业种植做法。我们还将收集社交媒体数据，以深入了解人口和社群活动。作为以前项目的成果，我们已经拥有丰富的非洲开源（开放街道地图）数据，这使我们能够在不依赖政府持有的数据集的情况下做出决策，这些数据集通常已经过时。

The proposed project will address unreliable feedstock supplies in Sub Saharan Africa (SSA) by integrating a 100-kW steam turbine, with a pyrolysis vapour combustion system that avoids the fouling, fly ash and slagging typically associated with biomass-fired heating systems. A business case will be developed for a rural mobile payments system, giving farmers access to foreign remittances and enabling them to receive payment for their crop residues. Finally, the development of a detailed business case for a bioenergy power generation plant using rice husk produced by a rice milling technology will enable a detailed techno economic appraisal to be conducted to determine the replicability of the solution when integrated with rural food production systems.Within the project, the research team at the University of Leicester will analyse satellite geocoded images and other cartographic data in a Geographic Information System (GIS) environment to identify optimised and smart siting for the proposed bioenergy installations. Satellite imagery will be used to identify existing productive users such as farms and small holders. Relevant to the success of the proposed project is the collection of information about the potential users of this off-grid electricity to ensure that they are able to pay for the power and also develop income and improve their livelihoods. Where there is a lack of basic infrastructure data on population, housing, land use, agricultural activity and extent of the existing grid, such information may be detected from the analysis of data coming from space.This will be achieved through the identification from satellite data (or confirmation from space if this data already exists) of the community characteristics (housing, health centres, schools) that are potential users of the power generated from this piece of equipment and which are currently off-grid, and the mapping of the agricultural activity that is located around these villages and communities and develop yield estimates of the agricultural waste. This team will utilise the latest European Commission Copernicus satellites (Sentinel-1 and 2 - which is freely accessible to anyone) to identify agricultural cropping practices in and around farms, communities and trading centres. We will also scrape social media data that can give insights into population and community activities. As an outcome from previous projects, we already hold a wealth of open source (Open Street Map) data for Africa and this enables us to make decisions without relying on government held data sets which are often out of date.