Computational sizing of solar powered peanut oil extraction in Senegal using a synthetic load profile

Bonzi Wiomou Joévin, Romuli Sebastian, Diouf Djicknoum, Piriou Bruno, Meissner Klaus, Müller Joachim. 2024. Computational sizing of solar powered peanut oil extraction in Senegal using a synthetic load profile. Energy for Sustainable Development, 79:101391, 18 p.

Résumé : This paper presents an approach for sizing a hybrid photovoltaic system for a small-scale peanut oil processing company (Yaye Aissatou, Passy) in rural Senegal using a synthetic load profile. In this study, a predictive model of the electrical load of a service-based plant oil processing company was developed through a diagnosis, to evaluate the extraction process. The mass and energy balance were measured, and the process was implemented into MATLAB Simulink. The simulated load profile was implemented in HOMER Pro and the characteristics of the most profitable hybrid systems were identified. The results showed that the lowest net present cost over 25 years was found with a PV/battery/grid-system with 18.6 kWp solar panels, 16 kWh of storage, and an initial investment of 20,019 €. Compared to a grid-only scenario, this solution reduces the net present cost from an initial 72,163 € to 31,603 €, the operating cost from 3675 € per year to 590 € per year, and the cost of energy from 0.29 to 0.13 €/kWh. The renewable fraction of the proposed system is 90.0 % while the expected payback period is 6.2 years. The study demonstrates the economic feasibility of using solar energy for plant oil processing.

Mots-clés Agrovoc : modèle de simulation, huile d'arachide, énergie solaire, consommation d'énergie, énergie renouvelable, système photovoltaïque

Mots-clés géographiques Agrovoc : Sénégal

Mots-clés libres : Feasibility study, HOMER Pro, Hybrid system, Mechanical pressing, Monte Carlo simulation, Plant oil

Agences de financement européennes : European Commission

Agences de financement hors UE : Agence Française de Développement

Projets sur financement : (EU) BioStar, (EU) Development Smart Innovation through Research in Agriculture

Auteurs et affiliations

• Bonzi Wiomou Joévin, University of Hohenheim (DEU) - auteur correspondant
• Romuli Sebastian, University of Hohenheim (DEU)
• Diouf Djicknoum, Université Gaston Berger (SEN)
• Piriou Bruno, CIRAD-PERSYST-UPR BioWooEB (SEN) ORCID: 0000-0001-5780-3216
• Meissner Klaus, University of Hohenheim (DEU)
• Müller Joachim, Universität Hohenheim (DEU)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/610736/)

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