{"id":1149,"date":"2022-06-27T14:12:05","date_gmt":"2022-06-27T12:12:05","guid":{"rendered":"https:\/\/enershelf.de\/?p=1149"},"modified":"2022-07-18T11:28:19","modified_gmt":"2022-07-18T09:28:19","slug":"development-of-an-electrification-and-market-introduction-strategy","status":"publish","type":"post","link":"https:\/\/enershelf.de\/?p=1149","title":{"rendered":"Development of an electrification and market introduction strategy"},"content":{"rendered":"\n
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Household load profile in Ghana<\/figcaption><\/figure>\n\n\n\n

Interview with Katrin Lammers<\/a>, Avia Linke<\/a> & Andr\u00e9s Andrade<\/a> on the recent working steps of the Reiner Lemoine Institute for the EnerSHelF project.<\/p><\/blockquote>\n\n\n\n

In the past interview with your colleague Catherina Cader<\/a>, she showed first maps visualizing the health centre distribution and electricity supply across Ghana. How have you developed the data since?<\/strong><\/p>\n\n\n\n

Since the last time, we continued to gain insights from our geospatial data by analysing it together with newer, more up-to-date datasets. We have now, for example, a better understanding of the number of hospitals more likely to need electrification, the types and sizes of communities that surround our hospitals, and the population that would be covered by their services. We have been compiling and processing these data, picking attributes and information from them that we think will be more relevant for our final visualization. For this, during the past months we have been thinking of and working on a concept for the development of a web map tool that should display not only the already mentioned datasets, but also our electrification strategy, in a clear and meaningful way. <\/p>\n\n\n\n\n\n\n\n

The goal of RLI is to develop an electrification and market introduction strategy for PV hybrid systems for health care centres and surrounding communities in Ghana. At what point of the process are you at?<\/strong><\/p>\n\n\n\n

Based on the outcome of our geospatial analysis, we selected most suitable sites of health facilities to develop the electrification and market introduction strategy. Currently we are modelling the demand for 184 non-electrified or subpar electrified selected health facilities and their surrounding communities applying the Python-based open-source tool RAMP. The demand analysis lays the foundation for the energy system modelling to derive site specific and accumulated PV capacities and market potential. As mentioned earlier, we are currently working on a strategy to integrate and visualize the findings of the electrification strategy and market potential analysis into the web-map.<\/p>\n\n\n\n

During one of our last monthly seminars, you presented a first version of a web mapping tool. Can you explain how the tool can be used and by whom?<\/strong><\/p>\n\n\n\n

The basic idea of the webmap is to make insights openly available to a wide group of interested stakeholders. The platform provides an overview of:<\/p>\n\n\n\n

Average energy system results for webmap regional overview<\/em><\/p>\n\n\n\n