A simulation and analysis of the energy conversion equations describing the behavior of a hybrid system composed of solar photovoltaic PV, and geothermal subsystems for power generation and district heating are presented in this paper. A numerical model based upon the aforementioned energy conversion equations was developed, coded and results were compared to experimental data. The model is intended to be used as an optimization and design tool for such hybrid systems. The model predicted results compared fairly with experimental data under various conditions.
| Published in | Science Journal of Energy Engineering (Volume 5, Issue 1) |
| DOI | 10.11648/j.sjee.20170501.12 |
| Page(s) | 13-30 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Hybrid System, Solar Photovoltaic, Geothermal, Modeling, Simulation, Validation, Experimental Data
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APA Style
Samuel Sami, Jorge Rivera. (2017). A Predictive Numerical Model for Analyzing Performance of Solar Photovoltaic, Geothermal Hybrid System for Electricity Generation and District Heating. Science Journal of Energy Engineering, 5(1), 13-30. https://doi.org/10.11648/j.sjee.20170501.12
ACS Style
Samuel Sami; Jorge Rivera. A Predictive Numerical Model for Analyzing Performance of Solar Photovoltaic, Geothermal Hybrid System for Electricity Generation and District Heating. Sci. J. Energy Eng. 2017, 5(1), 13-30. doi: 10.11648/j.sjee.20170501.12
AMA Style
Samuel Sami, Jorge Rivera. A Predictive Numerical Model for Analyzing Performance of Solar Photovoltaic, Geothermal Hybrid System for Electricity Generation and District Heating. Sci J Energy Eng. 2017;5(1):13-30. doi: 10.11648/j.sjee.20170501.12
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Download@article{10.11648/j.sjee.20170501.12,
author = {Samuel Sami and Jorge Rivera},
title = {A Predictive Numerical Model for Analyzing Performance of Solar Photovoltaic, Geothermal Hybrid System for Electricity Generation and District Heating},
journal = {Science Journal of Energy Engineering},
volume = {5},
number = {1},
pages = {13-30},
doi = {10.11648/j.sjee.20170501.12},
url = {https://doi.org/10.11648/j.sjee.20170501.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20170501.12},
abstract = {A simulation and analysis of the energy conversion equations describing the behavior of a hybrid system composed of solar photovoltaic PV, and geothermal subsystems for power generation and district heating are presented in this paper. A numerical model based upon the aforementioned energy conversion equations was developed, coded and results were compared to experimental data. The model is intended to be used as an optimization and design tool for such hybrid systems. The model predicted results compared fairly with experimental data under various conditions.},
year = {2017}
}
TY - JOUR T1 - A Predictive Numerical Model for Analyzing Performance of Solar Photovoltaic, Geothermal Hybrid System for Electricity Generation and District Heating AU - Samuel Sami AU - Jorge Rivera Y1 - 2017/02/17 PY - 2017 N1 - https://doi.org/10.11648/j.sjee.20170501.12 DO - 10.11648/j.sjee.20170501.12 T2 - Science Journal of Energy Engineering JF - Science Journal of Energy Engineering JO - Science Journal of Energy Engineering SP - 13 EP - 30 PB - Science Publishing Group SN - 2376-8126 UR - https://doi.org/10.11648/j.sjee.20170501.12 AB - A simulation and analysis of the energy conversion equations describing the behavior of a hybrid system composed of solar photovoltaic PV, and geothermal subsystems for power generation and district heating are presented in this paper. A numerical model based upon the aforementioned energy conversion equations was developed, coded and results were compared to experimental data. The model is intended to be used as an optimization and design tool for such hybrid systems. The model predicted results compared fairly with experimental data under various conditions. VL - 5 IS - 1 ER -
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