scholarly journals Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria

2020 ◽  
Vol 12 (14) ◽  
pp. 5732
Author(s):  
Michael O. Ukoba ◽  
Ogheneruona E. Diemuodeke ◽  
Mohammed Alghassab ◽  
Henry I. Njoku ◽  
Muhammad Imran ◽  
...  

This paper presents eight hybrid renewable energy (RE) systems that are derived from solar, wind and biomass, with energy storage, to meet the energy demands of an average household in the six geopolitical zones of Nigeria. The resource assessments show that the solar insolation, wind speed (at 30 m hub height) and biomass in the country range, respectively, from 4.38–6.00 kWh/m2/day, 3.74 to 11.04 m/s and 5.709–15.80 kg/household/day. The HOMER software was used to obtain optimal configurations of the eight hybrid energy systems along the six geopolitical zones’ RE resources. The eight optimal systems were further subjected to a multi-criteria decision making (MCDM) analysis, which considers technical, economic, environmental and socio-cultural criteria. The TOPSIS-AHP composite procedure was adopted for the MCDM analysis in order to have more realistic criteria weighting factors. In all the eight techno-economic optimal system configurations considered, the biomass generator-solar PV-battery energy system (GPBES) was the best system for all the geopolitical zones. The best system has the potential of capturing carbon from the atmosphere, an attribute that is desirous for climate change mitigation. The cost of energy (COE) was seen to be within the range of 0.151–0.156 US$/kWh, which is competitive with the existing electricity cost from the national grid, average 0.131 US$/kWh. It is shown that the Federal Government of Nigeria favorable energy policy towards the adoption of biomass-to-electricity systems would make the proposed system very affordable to the rural households.

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6223
Author(s):  
Bin Ye ◽  
Minhua Zhou ◽  
Dan Yan ◽  
Yin Li

The application of renewable energy has become increasingly widespread worldwide because of its advantages of resource abundance and environmental friendliness. However, the deployment of hybrid renewable energy systems (HRESs) varies greatly from city to city due to large differences in economic endurance, social acceptance and renewable energy endowment. Urban policymakers thus face great challenges in promoting local clean renewable energy utilization. To address these issues, this paper proposes a combined multi-objective optimization method, and the specific process of this method is described as follows. The Hybrid Optimization Model for electric energy was first used to examine five different scenarios of renewable energy systems. Then, the Technique for Order Preference by Similarity to an Ideal Solution was applied using eleven comprehensive indicators to determine the best option for the target area using three different weights. To verify the feasibility of this method, Xiongan New District (XND) was selected as an example to illustrate the process of selecting the optimal HRES. The empirical results of simulation tools and multi-objective decision-making show that the Photovoltaic-Diesel-Battery off-grid energy system (option III) and PV-Diesel-Hydrogen-Battery off-grid energy system (option V) are two highly feasible schemes for an HRES in XND. The cost of energy for these two options is 0.203 and 0.209 $/kWh, respectively, and the carbon dioxide emissions are 14,473 t/yr and 345 t/yr, respectively. Our results provide a reference for policymakers in deploying an HRES in the XND area.


Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the unit cost of energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (Hybrid Optimization Model of Electric Renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.


Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2639
Author(s):  
Mahelet G. Fikru ◽  
Gregory Gelles ◽  
Ana-Maria Ichim ◽  
Joseph D. Smith

Despite advances in small-scale hybrid renewable energy technologies, there are limited economic frameworks that model the different decisions made by a residential hybrid system owner. We present a comprehensive review of studies that examine the techno-economic feasibility of small-scale hybrid energy systems, and we find that the most common approach is to compare the annualized life-time costs to the expected energy output and choose the system with the lowest cost per output. While practical, this type of benefit–cost analysis misses out on other production and consumption decisions that are simultaneously made when adopting a hybrid energy system. In this paper, we propose a broader and more robust theoretical framework—based on production and utility theory—to illustrate how the production of renewable energy from multiple sources affects energy efficiency, energy services, and energy consumption choices in the residential sector. Finally, we discuss how the model can be applied to guide a hybrid-prosumer’s decision-making in the US residential sector. Examining hybrid renewable energy systems within a solid economic framework makes the study of hybrid energy more accessible to economists, facilitating interdisciplinary collaborations.


Author(s):  
Luis Recalde ◽  
Hong Yue ◽  
William Leithead ◽  
Olimpo Anaya-Lara ◽  
Hongda Liu ◽  
...  

Abstract Integrating marine renewables and aquaculture is a complex task. The generated power of each renewable technology depends on its source cycle (wind, wave, solar PV), leading to periods of zero power production. On the other side, aquaculture farms require smooth and stable power supply since any power shortage can lead to the loss of the entire farm production. This paper illustrates the sizing of a hybrid energy system (wind,solar PV, energy storage) to power up the aquaculture farm. The sizing is based on available commercial technology and the system is mounted on a single multi-purpose platform. Reliability is improved by considering device redundancies. Such hybrid system has not been considered before for aquaculture farms. System rough sizing, based on simple online renewable energy calculators, is used to select existing renewable technologies and HOMER Pro simulation software is used to evaluate the technical and economic feasibility of the microgrid for all possible combinations of the technology selected and perform sensitivity analysis on wind turbine tower height, battery state of charge and solar PV panels reflectance. The optimisation is subject to combined dispatch strategy and net present cost.


Author(s):  
A. T. D. Perera

The importance of integrating renewable energy sources into standalone energy systems is highlighted in recent literature. Maintaining energy efficiency is challenging in designing such hybrid energy systems (HES) due to seasonal variation of renewable energy potential. This study evaluates the limitations in minimizing the losses in renewable energy generated mainly due to energy storage limitations and minimizing fuel consumption of the internal combustion generator (ICG). A standalone hybrid energy system with Solar PV (SPV), wind, battery bank and an ICG is modeled and optimized in this work. Levelized Energy Cost (LEC), Waste of Renewable Energy (WRE) and Fuel Consumption (FC) are taken as objective functions. Results highlight the importance of considering WRE as an objective function which increase the mix of energy sources that can help to increase the reliability of the system.


Author(s):  
Bahtiyar Dursun ◽  
Ercan Aykut

This paper presents a techno-economic analysis of hybrid renewable energy systems to supply the electrical load requirements of the nursing home located in Istanbul, Turkey. The standalone hybrid renewable energy systems (Photovoltaic (PV)/wind/fuel cell/electrolyzer, PV/fuel cell/electrolyzer, and wind/fuel cell/electrolyzer, etc.) considered in the analysis were comprised of different combinations of PV panels, fuel cells, and wind turbines supplemented with hydrogen storage. In this study, the Hybrid Optimization of Multiple Energy Resources (HOMER) software is used as the assessment tool to determine the optimal configuration of hybrid renewable energy systems taking total net present cost and cost of energy into consideration. As a result, it is determined that the optimal system configuration of standalone wind/PV/fuel cell/electrolyzer hybrid renewable energy systems with the lowest total net present cost consists of 30 kW PV panel, 20 kW wind turbine, 20 kW fuel cell, 20 kW power converter, 50 kW electrolyzer, 20 kW rectifier, and 100 kg hydrogen tank. Besides, the net present cost and cost of energy of the optimum configuration are calculated to be $607,298 and $1.306/kWh, respectively. The system is considered as completely renewable. When wind speed and solar radiation values increase, then the cost of energy decrease about $0.979/kWh.


2021 ◽  
Vol 294 ◽  
pp. 01004
Author(s):  
Sonja Kallio ◽  
Monica Siroux

To reduce carbon and greenhouse gas emissions, the more efficient and environmentally friendly energy production in the building sector is required. The deployment of renewable energy based microcogeneration units in the decentralized hybrid energy systems is a part of the solution. The micro combined heat and power (micro-CHP), or co-generation, units produce simultaneously heat and electricity from a single fuel source at high efficiency and close to the consumption point. These units offer significant benefits: reduced primary energy consumption, reduced CO2 emissions, and avoidance of distribution losses due to central plant and network construction. The objective of this paper is to present a review of available renewable energy based micro-CHP systems and to focus on the biomass and solar based conversion devices. Finally, a novel hybrid renewable energy system is presented by coupling renewable energy sources, such as solar and biomass for micro-CHP.


2019 ◽  
Vol 5 (11) ◽  
pp. 29-38
Author(s):  
Satyam Kumar Prasun ◽  
Sanjeev Jarariya ◽  
Avinash Kumar

PV and wind hybrid are found to be the most lucrative solution for the diminishing traditional energy sources. Whereas these alternatives sources of the energy have many remarkable rewards like cost of energy and feasibility etc. The attributes of these sources of being cost effective and stable are possible due to their complementary nature as compared to independent energy systems. Therefore, these systems have admirable capability to meet energy crisis up to some extent. The proposed word has designed a hybrid energy system fit for driving residential loads using MATLAB/SIMULINK software. The work has proposed a compensator with RLS algorithm is place of traditional STATCOM device. The results has sown that the active power output available at the load terminal improved from 400 KW to 700KW. Also the work has analyzed THD level in voltage and current waveforms. The proposed RLS based compensator reduced the THD level in voltage to 0.81% and in current wave form to  1.26% . The model has also been integrated with the grid in order to make the system more reliable and efficient while driving loads


2021 ◽  
Author(s):  
James Morales Lassalle ◽  
Dante Figueroa Martínez ◽  
Luis Vergara Fernández

Access to energy services is recognised as a fundamental aspect of economic and social development. This is particularly important for isolated areas, where electrical supply is not guaranteed. Because of their inherent geographic characteristics, islands are prominent cases of isolated areas that must import and burn fossil fuels, with environmental and economic consequences. In this context, Hybrid Renewable Energy Systems (HRES) emerge as an alternative to traditional generation to reduce energy costs and environmental issues. This study aims to demonstrate the feasibility of implementing HRES on islands, based on energy optimisation. We present an extensive review of HRES optimisations across 73 island cases, collecting information about energy demand, energy system sizes, and optimisation methodologies. The most commonly proposed HRES components are identified, and a significant power relationship is found between population and annual energy demand on islands. Further, we identify islands with higher-than-expected and lower-than-expected consumption and the underlying causes. The main limitations of the reviewed studies are discussed, particularly with regards to availability and quality of hourly demand data and/or meteorological data required for renewable energy assessments. Several approaches to fill these gaps in information are reviewed here, concluding with a discussion of emergent methods and technologies.


Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar Photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the Unit Cost Of Energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (hybrid optimization model of electric renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.


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