4.7 Article

Techno-economic evaluation of an off-grid health clinic considering the current and future energy challenges: A rural case study

Journal

RENEWABLE ENERGY
Volume 169, Issue -, Pages 34-52

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.01.017

Keywords

Hybrid systems; Renewable energy; Optimization; Sensitivity analysis; Techno-economic

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This study presents a hybrid energy system for health clinics in remote areas, which can effectively address energy supply issues in desert regions and take into account the impact of global epidemic outbreaks on load. The results show that the system has low energy costs and a potential renewable energy fraction of over 30%, suitable for off-grid development of small loads.
The existence of health clinics is an essential need for residents of a remote area to improve their quality of life. Providing energy and freshwater for these units are critical problems especially in countries with arid areas and tropical climate. In this study, a hybrid energy system including photovoltaic panels, diesel generator, and battery bank is considered to provide electrical demand for a health clinic. Lack of proper access to the fuel in standalone systems can be a challenge in desert remote areas which could cause difficulties in the electricity management. Accordingly, three excess electricity management methods including increasing the annual fuel availability, using a combination of fuel cell/electrolyzer and considering the annual capacity shortage are compared to each other. Also for the first time, the possibility of annual shocks to the load is taken into account due to the global outbreak of some epidemic diseases such as SARS and Covid-19 in recent history. The results showed that the energy cost of proposed hybrid system would be 0.105 $/kWh with more than 30% renewable fraction. Also, the grid breakeven distance in different situations is estimated between 1.2 km and 5.8 km which shows the high capability of off-grid development of the proposed hybrid system for small loads. (C) 2021 Elsevier Ltd. All rights reserved.

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