Evidence map›Paper›PMID 34403052›Full record

ArticleEnvironmental science and pollution research international2022

Assessing the use of hybrid renewable energy system with battery storage for power generation in a University in Nigeria.

Olubayo Babatunde, Iheanacho Denwigwe, Oluwaseun Oyebode, Desmond Ighravwe, Adaeze Ohiaeri, Damilola Babatunde

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Olubayo BabatundeDepartment of Electrical Engineering, Tshwane University of Technology, Pretoria, South Africa. olubayobabatunde@gmai.com.ORCID http://orcid.org/0000-0001-6533-7171
Iheanacho DenwigweDepartment of Electrical and Electronics Engineering, University of Lagos, Lagos, Nigeria.
Oluwaseun OyebodeRoyal HaskoningDHV, Woodmead, Johannesburg, 2191, South Africa.
Desmond IghravweDepartment of Mechanical and Biomedical Engineering, Bells University of Technology, Ota, Nigeria.
Adaeze OhiaeriDepartment of Electrical and Electronics Engineering, University of Lagos, Lagos, Nigeria.
Damilola BabatundeDepartment of Chemical Engineering, Covenant University, Ota, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper analyzes the adoption of an off-grid hybrid renewable energy system (HRES) for a high-rise building owned by a public institution in Nigeria. The analysis is based on the comparison between the use of a single criterion and multiple criteria in the selection of the most feasible energy system. The proposed HRES comprises of a wind turbine, diesel generator, photovoltaic (PV), and battery storage system. Hybrid optimization of multiple energy resources (HOMER) software was used to design the HRES for a case study (based on a single criterion-total net present cost), while Evaluation Based on Distance from Average Solution (EDAS) method was used to evaluate the effect of choosing an optimal system based on multiple criteria. Based on the simulations conducted with HOMER, eight feasible HRES (ES1-ES8) were identified. When the feasible HRES were ranked based on total (NPC), the optimal configuration comprises 70 kW PV modules, 20 kW diesel generating set, 40 kW converter, and 70, 3000 Ah batteries. The results obtained from the optimization process were subjected to a multi-criteria analysis based on sustainability principles. The ranking of the first two systems (ES1 and ES2) returned by single criterion (total NPC) remained the same, while changes were observed in the ranks of the remaining systems (ES3-ES8). This modular feasibility study shows that it would be economical to power the entire university using HRES. It is expected that this study would help the university communities and other stakeholders make informed decision during the planning stage of similar projects.

Indexed as

Electric Power SuppliesUniversitiesNigeriaRenewable EnergySoftwareBattery energy storageFeasibility studiesHOMERHybrid renewable energy systemMulti-criteriaPhotovoltaicTechno-economic analysis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.