Joseph Oyekale

Dr. Joseph Oyekale

University of Cagliari

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 September 2020 in Energies
Verified
Journal Article
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JOJoseph Oyekale
Joseph Oyekale
Mario PetrolleseMario Petrollese
Mario Petrollese
VTVittorio Tola
Vittorio Tola
GCGiorgio Cau
Giorgio Cau
This study is aimed at a succinct review of practical impacts of grid integration of renewable energy systems on effectiveness of power networks, as well as often employed state-of-the-art solution strategies. The renewable energy resources focused on include solar energy, wind energy, biomass energy and geothermal energy, as well as renewable hydrogen/fuel cells, which, although not classified purely as renewable resources, are a famous energy carrier vital for future energy sustainability. Although several world energy outlooks have suggested that the renewable resources available worldwide are sufficient to satisfy global energy needs in multiples of thousands, the different challenges often associated with practical exploitation have made this assertion an illusion to date. Thus, more research efforts are required to synthesize the nature of these challenges as well as viable solution strategies, hence, the need for this review study. First, brief overviews are provided for each of the studied renewable energy sources. Next, challenges and solution strategies associated with each of them at generation phase are discussed, with reference to power grid integration. Thereafter, challenges and common solution strategies at the grid/electrical interface are discussed for each of the renewable resources. Finally, expert opinions are provided, comprising a number of aphorisms deducible from the review study, which reveal knowledge gaps in the field and potential roadmap for future research. In particular, these opinions include the essential roles that renewable hydrogen will play in future energy systems; the need for multi-sectoral coupling, specifically by promoting electric vehicle usage and integration with renewable-based power grids; the need for cheaper energy storage devices, attainable possibly by using abandoned electric vehicle batteries for electrical storage, and by further development of advanced thermal energy storage systems (overviews of state-of-the-art thermal and electrochemical energy storage are also provided); amongst others.

30 June 2022 in Heliyon
Verified
Journal Article
Open access
JOJoseph Oyekale
Joseph Oyekale
EEEyere Emagbetere
Eyere Emagbetere
The importance of organic Rankine cycle (ORC) plants to the development of future energy infrastructure is widely acknowledged, due largely to their ability to exploit low-temperature thermal energy sources such as industrial waste heat and renewable energy resources. In this regard, different schemes are being proposed in the literature for the technical and economic developments of ORC plants. Also, the environmental feasibility assessments of ORC-based energy systems have been gaining gradual attention recently, but relative to the technical and economic aspects, the life cycle assessment (LCA) studies on ORC are at an infancy stage. It is therefore aimed in this study to systematically review and collate in a single document, the conventional and exergy-based life cycle assessment studies applied to ORC plants. Doing so, it was found that less than 3% of the over 7000 documents available on ORC in the SCOPUS database analyzed the environmental impact. Also, the ecoinvent was observed as the LCA inventory database most frequently in use, usually in the SimaPro software. Additionally, literature data revealed that the choice of the organic working fluid and the consideration of its leakage over the plant's lifetime have significant effects on the environmental impacts of ORC plants. Moreover, the common methods of conducting the exergy-based LCA (exergoenvironmental analysis) of ORC plants are succinctly reported in this manuscript, including the definitions of the most relevant exergoenvironmental performance metrics. It is hoped that this effort would spur the inclusion of LCA in future analyses of ORC plants, towards the achievement of a more sustainable energy conversion technology.

2 April 2023 in Wires Energy and Environment
Verified
Journal Article
Closed access
JOJoseph Oyekale
Joseph Oyekale
BOBenjamin Oreko
Benjamin Oreko

21 December 2024 in Sustainability
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SOSamuel oghale Oweh
Samuel oghale Oweh
Peter Alenoghena AigbaPeter Alenoghena Aigba
Peter Alenoghena Aigba
Olusegun David SAMUELOlusegun David SAMUEL
Olusegun David SAMUEL
JOJoseph Oyekale
Joseph Oyekale
FAFidelis Abam
Fidelis Abam
Ramazan SenerRamazan Sener
Ramazan Sener
A marble processing plant (MPP) can achieve sustainable development by implementing energy-saving and consumption-reduction technology. Reducing energy loss in such an energy-intensive plant is crucial for overall energy savings. This study establishes an MPP optimization model based on the second law of thermodynamics and the law of conservation of mass. Marble is an aesthetically pleasing and long-lasting building material that has boosted economies in European and sub-Saharan African nations. However, high energy costs and scarcity have constrained the industry’s economic potential and hindered the achievement of optimal levels of production. The second law of thermodynamics is adopted to study the irreversibilities, inefficiencies, and exergetic performance of a marble processing plant. The Aspen Plus commercial software application is used to model and generate thermodynamic data, determine energy flow streams and conduct sensitivity and optimization analysis to improve data quality and energetic performance outcomes. From the results, the various scales of the exergetic destruction, efficiencies, and exergetic losses are determined, and recommendations are established. The overall energy and exergy efficiency levels were determined to be 87.43% and 86.84%, respectively, with a total exergetic destruction of 200.61 kW. The reported methodologies, cutting-edge ideas, and solutions will give industrialists and other significant stakeholders in the global manufacturing sector cutting-edge information about energy usage and ways to cut energy losses in both new and existing factory designs, manage energy cost components, and adjust energy efficiency to maximize productivity.

11 January 2023 in Journal of Thermal Science and Engineering Applications
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JOJoseph Oyekale
Joseph Oyekale
CMChinedum Ogonna Mgbemena
Chinedum Ogonna Mgbemena
This study was aimed at comparing the optimal thermodynamic performance of subcritical and supercritical organic Rankine cycle (ORC) plants for waste heat recovery from ship engines. The technical impacts of adopting a supercritical ORC scheme relative to the usual subcritical one have not been explicitly reported in the literature for heat recovery in ship engines, hence this study. The fluids R245fa, R134a, and R600a were employed for analysis due to their versatility in real systems. The ORC plants were modeled and optimized in matlab using established zero-dimensional models to satisfy the first law mass and energy balances. Results showed that introducing a recuperator would increase ORC performance. For the R600a which exhibited the best performance among the three working fluids, a net power output of 488.3 kW was obtained for the subcritical ORC without a recuperator (SYS A) and 543.7 kW for the one with a recuperator (SYS B). Furthermore, a switch to a supercritical ORC configuration increased the net power by about 29% for R134a and 10% for R600a, and increased the thermal efficiency by about 2.2 percentage points for R134a and 0.5 percentage points for R600a, referencing the supercritical configuration without a recuperator (SYS C) and SYS A.

7 May 2015 in Journal of Applied Sciences and Environmental Management
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GAGo Aravie
Go Aravie
JOJoseph Oyekale
Joseph Oyekale
EEEMAGBETERE EYERE
EMAGBETERE EYERE
Performance Modelling of Steam Turbine Performance using Fuzzy Logic Membership Functions