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Energy Systems AnalysisCompleted Technical Study

Ikogosi Mini-Grid - Anchor-Load Shifting & HOMER Pro Optimization

Integrated demand-modelling and techno-economic assessment of the Ikogosi community mini-grid. The study combined an Odyssey-derived 8,760-hour load profile, Python-based demand validation and visualization, strategic modelling of major anchor loads within the daytime solar window, and HOMER Pro simulation of a PV-BESS-diesel-grid hybrid architecture.

Ikogosi Mini-Grid - Anchor-Load Shifting & HOMER Pro Optimization project visual

Project Visual

Location

Ikogosi, Ekiti, Nigeria

Period

2026

01 / Engineering Scope

Technical work and responsibilities.

  1. 01

    Reviewed the Odyssey-derived annual demand model covering residential, commercial, productive-use and major anchor loads.

  2. 02

    Modelled major anchor demand within the daytime solar-generation window to evaluate the effect of load shifting on PV utilization and battery-storage requirements.

  3. 03

    Validated the 8,760-hour annual community load profile in Python and checked timestamps, missing values and total system demand.

  4. 04

    Calculated annual demand indicators including peak load, minimum demand, average demand, annual energy and load factor.

  5. 05

    Developed annual load-profile, average 24-hour demand and load-duration-curve visualizations.

  6. 06

    Configured and evaluated PV, battery storage, diesel generation, converter and grid-support components in HOMER Pro.

  7. 07

    Assessed system energy production, generator operation, excess electricity, unmet load and lifecycle economics.

  8. 08

    Reviewed a client-facing optimized simulation case and compared technical and economic performance.

02 / Delivery Outcomes

Measured project results.

  1. 01

    Validated all 8,760 hourly community-demand records with no missing system-load values.

  2. 02

    Calculated a peak demand of approximately 826.27 kW occurring around 11:00, reflecting the modelled daytime concentration of major anchor demand.

  3. 03

    Calculated an average demand of approximately 424.01 kW, average daily energy consumption of 10,176.17 kWh/day and annual energy demand of approximately 3.714 GWh.

  4. 04

    Calculated a system load factor of 51.32%.

  5. 05

    Evaluated a HOMER engineering configuration comprising 2.5 MW of PV, approximately 5.1 MWh of battery storage, a 1.08 MW diesel generator and an 800 kW system converter.

  6. 06

    The engineering simulation reported zero unmet electric load and zero capacity shortage under the modelled conditions.

  7. 07

    Annual production in the engineering case was approximately 81.7% PV, 15.4% diesel generation and 2.94% grid purchases.

  8. 08

    The engineering simulation produced a total net present cost of approximately $4.46 million and a levelized cost of energy of $0.126/kWh under the modelled assumptions.

Technical Areas

Methods, tools and disciplines.

01

Python

02

Pandas

03

Matplotlib

04

Odyssey

05

HOMER Pro

06

8760 Load Profile Analysis

07

Load Duration Curve

08

Anchor-Load Modelling

09

Load Shifting

10

Techno-Economic Optimization

Related Disciplines

Mini-GridPythonHOMER ProOdysseySolar PVBESSDiesel GenerationAnchor LoadsLoad ShiftingDemand Modelling8760 Load ProfileTechno-Economic AnalysisRenewable Energy

Project Evidence

Selected engineering evidence.

Field photographs, drawings, GIS outputs, commissioning records and technical reports approved for public portfolio use.

01

Engineering Drawings

3 items

02

Reports / PDFs

3 items

PDF

Reports / PDFs

Case 1 - Odyssey Anchor-Load Assessment

Demand-modelling assessment documenting the community profile and the strategic treatment of major anchor loads within the daytime solar window.

Jun 2026

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PDF

Reports / PDFs

Case 2 - HOMER Pro Engineering Simulation

Detailed HOMER Pro engineering simulation covering system architecture, PV generation, battery storage, diesel generation, grid support and lifecycle performance.

Jun 2026

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PDF

Reports / PDFs

Case 3 - HOMER Pro Client Optimization

Client-facing hybrid-system simulation presenting the proposed system configuration and associated technical and financial indicators.

Jun 2026

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