Implementation of energy sustainability using hybrid power systems, a case study

ABSTRACT

Without a doubt, many remote areas have a hidden potential of energy, which can be considered for electricity production. Indeed, energy supply for remote areas is one of the most critical targets of SDGs BY the 2030 year. Based on this explanation, this paper presents a techno-economic analysis of hybrid energy systems installable for two capital provinces of Iran, concerning SDGs targets. Firstly, a comprehensive investigation of SDGs and UN-Habitat III targets are described and then, concerning these targets and existing data gathered by the meteorological organization of Iran, a techno-economic analysis is conducted using Homer software. Regarding the high potential of renewable energies in Zahedan and Zanjan cities of Iran, implementing hybrid energy systems could be feasible for producing electrical energy as a correct policy and a good vision by policymakers and energy experts in the future. In this respect, a PV-Wind-Generator system is investigated in this paper for producing electricity in the two mentioned cities. Technical analysis of the solar energy for Zahedan is showing that the total amount of electricity production by the hybrid system is about 40,617 kWh/yr. In addition, the total amount of electricity production by this hybrid system for Zanjan is to equal 41,728 kWh/yr. Therefore, regarding this high potential of energy in these areas, investment on the solar energy for both cities has economic justification, while from the wind energy potential viewpoint, only Zahedan is proper for investment.

KEYWORDS:

• Renewable energy
• hybrid system
• SDGs
• homer software
• energy sustainability

Nomenclature

CO2	=	Carbon Oxide Emission
Mbtoe	=	Million Barrels Ton Oil Equivalent
NPC	=	Net Present Cost
PV	=	Photovoltaic
SDGs	=	Sustainable Development Goals
Habitat III	=	Housing and sustainable urban development

Additional information

Notes on contributors

Armin Razmjoo

Armin Razmjoo is a PhD student at Escolla Técnica Superior d'Enginyeria Industrial de Barcelona(ETSEIB), Universitat Politécnica de Catalunya(UPC), Av. Diagonal, 647, 08028 Barcelona, Spain. His current research is focused on the implementation of energy sustainability indicators andn how to improve the methods.

M.A. Ehyaei

M.A. Ehyaei is an assistant professor at Department of Mechanical engineering, Pardis Branch, Islamic Azad University, Pardis new city, Iran.

Abdollah Ahmadi

Abdollah Ahmadi is an experienced Researcher and engineer offering more than 10 years of diverse experience in academic research, and teaching primarily in the areas of power systems and energy economics.

Mehdi Pazhoohesh

Mehdi Pazhoohesh has a background in the field of building energy and human comfort science and currently works as research associate within the National Center for Energy System Integration(CESI)at Newcastle University. Most recent duties involved deploying machine learning and Artificial Intelligence techniques to deal with partial data sets and missing data imputation under big data analytics of building energy.

Mousa Marzband

Mousa Marzband research interests include microgrid operation and power system analysis, distributed energy storage, hierarchical and cooperative control, optimal energy management systems, power system analysis and power system economic and operation, Integration of renewable energies in smart grids, and energy hub management system.

Mohsen Mansouri Khosravi

Mohsen Mansouri Khosravi is a Master student of Polytechnic Engineering School of the University of Tours (Polytech Tours), Tours, France and he has a passionate about renewable energies, robotic and embedded systems. He is also expert at designing PCB and FPGA boards and simulating microcontrollers.

Ahmad Shahhoseini

Ahmad Shahhoseini is a master graduate from Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

Afshin Davarpanah

Afshin Davarpanah is a PhD student in Aberystwyth University and his educational background and training coupled with extensive coursework in mathematical modelling of polymer flooding(which is coupled with the effects of fines migration), the utilization of surfactant and foaming agent in the EOR processes, WAG processes in oil recovery enhancement.