Analysis of hybrid energy systems for application in southern Ghana

Adaramola, Muyiwa S.; Agelin‐Chaab, Martin; Paul, Samuel S.

doi:10.1016/j.enconman.2014.08.029

Cited by 161 publications

(71 citation statements)

References 24 publications

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“…The value of

ρ_{g}

is taken as 0.20, which a typical value for locations in the tropical region , in this study. The output power from a PV system can then be calculated from the following equation :

P_{PV} = P_{Rated} f_{} true(\frac{\overset{H_{normalT}}{true}}{H_{normalT, STC}} true) true[1 + α_{p} true(T_{c} - T_{normalc, STC} true) true],

where

P_{Rated}

is the rated capacity of the PV array or the power output under standard test conditions in kW;

f_{}

is the PV derating factor;

\overset{H_{normalT}}{true}

is the solar radiation incident on the PV array (kW/m 2 );

H_{normalT, STC}

is the incident radiation at standard test conditions (1 kW/m 2 );

α_{p}

is the temperature coefficient of power (%/°C);

T_{c}

is the PV cell temperature (°C), and

T_{normalc, STC}

is the PV cell temperature under standard test conditions (25°C). Expressions for the calculation of the solar radiation on the inclined PV module and cell temperature can be found from the Supporting Information.…”

Section: Determination Of Pv System Energy Outputmentioning

confidence: 99%

Economic Analysis and Potential Feed‐in Tariff of Grid‐Connected PV Systems in Nigeria

Adaramola

Paul²

2016

Env Prog and Sustain Energy

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This study presents a feasibility study of grid‐tied PV system in selected locations across the country with focus on cost of energy produced and incentives such as feed‐in tariff and investment support. Based on the study locations and assumptions used in this study, it was estimated that the annual energy generated by the PV system varies between 2885 kWh in Port‐Harcourt in southern region and 4391 kWh in Isa in northern region. The optimal simulation results reveal that the levelized cost of energy varies from one location to another: highest in very low‐energy site (Port‐Harcourt) and lowest in the very high‐energy (Isa). In addition, it is estimated that the feed‐in tariff varies between N76.54/kWh (or US$0.4556/kWh) in Port‐Harcourt and N50.25/kWh (or US$0.2991/kWh) in Isa. It was further observed that the ratio of levelized cost of energy to current electricity tariff is least at Bauchi with a value of 1.22 and highest in Ikeja with a value of 2.95. Consequently, it would easier to sell solar PV idea to individual in Bauchi than those in Ikeja to invest in solar PV. Some of the benefits and potential challenges of implementing feed‐in tariff in Nigeria were also presented. © 2016 American Institute of Chemical Engineers Environ Prog, 36: 305–314, 2017

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“…The value of

ρ_{g}

is taken as 0.20, which a typical value for locations in the tropical region , in this study. The output power from a PV system can then be calculated from the following equation :

P_{PV} = P_{Rated} f_{} true(\frac{\overset{H_{normalT}}{true}}{H_{normalT, STC}} true) true[1 + α_{p} true(T_{c} - T_{normalc, STC} true) true],

where

P_{Rated}

is the rated capacity of the PV array or the power output under standard test conditions in kW;

f_{}

is the PV derating factor;

\overset{H_{normalT}}{true}

is the solar radiation incident on the PV array (kW/m 2 );

H_{normalT, STC}

is the incident radiation at standard test conditions (1 kW/m 2 );

α_{p}

is the temperature coefficient of power (%/°C);

T_{c}

is the PV cell temperature (°C), and

T_{normalc, STC}

Section: Determination Of Pv System Energy Outputmentioning

confidence: 99%

Economic Analysis and Potential Feed‐in Tariff of Grid‐Connected PV Systems in Nigeria

Adaramola

Paul²

2016

Env Prog and Sustain Energy

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“…In this context, the main parameters of the combined renewable energy system (RES) and energy storage system (ESS) based installation are calculated first and accordingly used in order to prove the economic viability of the proposed solution. In [36] the authors present an economic analysis of the feasibility of utilizing a hybrid energy system consisting of solar, wind and diesel generators for application in remote areas of southern Ghana using levelized cost of electricity (LCOE) and net present cost of the system. In [37] the authors focus their study on development of optimal sizing model based on an iterative approach to optimize the capacity sizes of various stand-alone PV/wind/diesel/battery hybrid system components for zero load energy deficit.…”

Section: Photovoltaic Wind Power With or Without Storage Systemmentioning

confidence: 99%

Hybrid energy systems for remote areas and the role of storage

Pendieu

Anglani

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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This paper presents a review of different schemes of hybrid energy systems (HES) in islanding mode for remote areas with a focus on solutions for remote electrification which are basically composed by one or a mixed of different energy sources and storage systems. The paper analysis the widely used mathematical approaches for optimization, sizing and modeling of HES for isolated electrification areas including the role of storage system. This paper also analysis the advantages and disadvantages of different solutions proposed.

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“…RE systems incorporating DGs and batteries have been studied by various authors, such as Muselli et al [1], Dufo-Lopez and Bernal-Augustin [2], Jenkins et al [3], Adaramola et al [4], but battery wear has not been evaluated in the analyses. The lifetime characteristics of battery energy storage systems have therefore not been fully considered in many RE based hybrid energy management optimization studies.…”

Section: Introductionmentioning

confidence: 99%