Open AccessGeothermal reservoir heat transfer, temperature modelling and electrical power potential estimation: Gisenyi hot spring
Author(s) -
Nshimyumuremyi Esdras,
Junqi Wang
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.0753
Subject(s) - hot spring , geothermal gradient , renewable energy , geothermal energy , environmental science , spring (device) , volcanism , geothermal power , geology , volcano , organic rankine cycle , hydrology (agriculture) , tectonics , environmental engineering , heat exchanger , waste heat , geophysics , geochemistry , geotechnical engineering , engineering , seismology , mechanical engineering , electrical engineering
As the energy demand is increasing every day, the environmental pollution has been a main concern. To reduce environmental pollution while satisfying the energy demand, renewable energy is a good solution and attracted many researchers not only to produce clean energy but also to find sustainable energy solution. Among renewable energy, geothermal energy is one of promising renewable sources and is recently given a high consideration. The tectonic position of Rwanda and volcanism show that Rwanda may have promising geothermal resources. One of the evidences is the hot springs originated from tectonic. Gisenyi hot spring is located in Northern Province nearest to the Kivu Lac on the base of volcanoes with surface water temperature of 71°C. In this paper, the conceptual and numerical models were made on Gisenyi hot spring based on geological, geochemical, hydrochemistry and geophysical data to estimate the temperature profile of the spring. This paper assesses the reservoir temperature of Gisenyi hot spring by using various geothermometers along with existing data and information using MATLAB software. The electrical power potential using Organic Rankine Cycle and Carbon dioxide as a working fluid have been assessed together with the optimum depth by considering the dominant mode of heat transfer.