The Pacific Innovation Forum for Climate and Environment (PIFCE) 1st - 3rd July, 2026

Brief overview

Scinergy Pacific is a Pacific-based, multidisciplinary consultancy specialising in renewable energy systems, engineering, and project delivery across island contexts. Headquartered in Suva, Fiji and branch office in Vanuatu, the firm focuses on supporting governments, utilities, and development partners with policy advisory, technical planning, and data-driven energy solutions. Its work spans grid integration, capacity development, and sustainable infrastructure, with a strong emphasis on locally led, context-specific approaches. Drawing on deep regional expertise, Scinergy Pacific delivers practical, implementation-focused solutions that enable resilient, low-carbon energy transitions across Pacific Island countries and other small island developing states.

Your organisation’s goals

Scinergy Pacific delivers specialised services that directly support climate change mitigation, adaptation, and environmental sustainability across Pacific Island countries. The firm undertakes renewable energy planning and deployment, including solar PV, battery energy storage systems (BESS), and hybrid mini-grid solutions, enabling the transition away from diesel-based generation and reducing greenhouse gas emissions.

Its core services include grid readiness assessments, grid impact studies, and power system modelling to ensure reliable integration of variable renewable energy while maintaining system stability and resilience. Scinergy also provides Owner’s Engineer and technical advisory services across the full project lifecycle—from feasibility and design to procurement, construction oversight, and commissioning—ensuring environmental and technical compliance with international standards.

In addition, the firm supports climate-resilient infrastructure planning, incorporating environmental considerations such as extreme weather risks, sea-level rise, and resource sustainability. Scinergy contributes to policy development, institutional strengthening, and capacity building within energy ministries and utilities, embedding long-term capability for sustainable energy management. Through data-driven analysis and regionally contextualised solutions, Scinergy Pacific enables practical, scalable pathways toward low-carbon, climate-resilient energy systems.

Describe your innovation

One key innovation implemented by Scinergy Pacific is the use of **open-source capacity expansion modelling**, primarily leveraging tools such as PyPSA, to support long-term energy planning and climate-aligned investment decisions in Pacific Island Countries and Territories (PICTs).

This approach enables the development of least-cost, optimised energy pathways that prioritise renewable energy deployment—such as solar PV and battery energy storage systems (BESS)—while systematically reducing reliance on diesel-based generation. By simulating multiple future scenarios, including high renewable penetration, demand growth, and climate-related risks, the modelling directly supports greenhouse gas emission reductions and enhances energy system resilience to climate variability and extreme weather events.

The innovation is particularly relevant to PICTs due to their unique constraints: small, isolated grids; high dependence on imported fossil fuels; limited technical capacity; and vulnerability to climate change. Scinergy’s use of open-source platforms ensures that models are not “black boxes,” but instead transparent, adaptable, and transferable to local institutions. This allows utilities and energy ministries to actively engage with the modelling process, update assumptions, and continuously refine their planning strategies without reliance on expensive proprietary software.

Importantly, Scinergy embeds this capability within national institutions through hands-on training and capacity development, enabling local engineers and planners to independently run and interpret scenarios. This fosters long-term ownership and strengthens institutional capacity for evidence-based decision-making.

By combining rigorous technical analysis with accessibility and local empowerment, this innovation transforms energy planning from a one-off exercise into a **dynamic, data-driven process**, directly supporting sustainable, low-carbon, and climate-resilient energy transitions across the Pacific.

How is this solution is innovative?

Scinergy Pacific’s solution is innovative because it combines open-source capacity expansion modelling with embedded, hands-on capacity building—transforming energy planning from a one-off, consultant-led exercise into a continuous, locally owned capability. Using tools such as PyPSA, the approach replaces traditional “black-box” proprietary models with transparent, adaptable platforms that utilities and governments can directly access, modify, and maintain. The innovation lies not only in the technology, but in the delivery model. Scinergy integrates detailed power system constraints—such as grid stability, reserve requirements, and renewable intermittency—into long-term planning, ensuring outputs are both technically robust and investment-ready. At the same time, the models are structured to be practical and usable within Pacific institutions, with tailored training and simplified interfaces that enable local engineers to run scenarios independently. This dual focus on technical depth and accessibility is particularly novel in Pacific contexts, where planning tools are often either too simplistic or too complex to sustain. By embedding modelling capability within national agencies, the solution enables ongoing scenario testing, adaptive planning, and stronger alignment between policy, infrastructure investment, and climate goals—supporting a scalable and self-sustaining transition to low-carbon energy systems.

How can the innovation be replicated and scaled up in other PICTs?

The innovation can be replicated and scaled across Pacific Island Countries and Territories (PICTs) through a structured combination of institutional partnerships, modular deployment, and targeted capacity building. Scinergy Pacific’s approach—using open-source tools such as PyPSA—is inherently transferable, as it avoids licensing barriers and allows models to be adapted to different island contexts with minimal cost.

At the institutional level, replication is best achieved by embedding the modelling capability within national energy ministries and utilities, supported by regional organisations such as Pacific Power Association and Pacific Community. These partnerships can provide coordination, standardised frameworks, and knowledge sharing across countries. A “hub-and-spoke” model—where a central regional technical team supports multiple countries—can accelerate rollout while maintaining consistency.

From a financing perspective, development partners (e.g. Asian Development Bank) can fund initial model development, training, and integration into national planning processes as part of broader energy transition or climate resilience programs. Over time, costs reduce significantly as local capacity strengthens and models are reused and refined.

Capacity requirements are addressed through phased training—starting with core technical teams, followed by wider institutional adoption—ensuring sustainability. By combining open-source tools, regional collaboration, and embedded training, the innovation can scale efficiently while building long-term, locally owned planning capability across the Pacific.

How is the solution cost‑effective and affordable in the context of Pacific Island Countries and Territories (PICTs)?

Scinergy Pacific’s solution is designed to be highly cost-effective and affordable, particularly when assessed from the perspective of end users such as communities, MSMEs, and local governments. By using open-source tools like PyPSA, the approach avoids expensive software licensing costs, significantly reducing upfront and ongoing expenditure for governments and utilities.

More importantly, the modelling directly informs least-cost energy pathways, prioritising renewable energy and optimised system design. This reduces reliance on imported diesel fuel—one of the largest cost drivers in PICT electricity systems—leading to lower generation costs over time. These savings can translate into more stable or reduced electricity tariffs for consumers, improving affordability for households and small businesses.

For local governments and project developers, the solution enhances investment efficiency by identifying the right projects, at the right scale, in the right locations—minimising costly design errors and underperforming assets. It also strengthens access to concessional climate finance by providing robust, data-driven evidence to support funding proposals.

By embedding capacity within local institutions, the solution further reduces long-term reliance on external consultants, lowering recurring costs. Overall, it delivers both immediate cost savings and sustained affordability benefits, while supporting a transition to cleaner, more resilient energy systems.

Locations (country, island, or community) where this solution has been piloted and/or implemented

Open-source capacity expansion modelling solution has been piloted and implemented in Vanuatu and the Solomon Islands, with applications tailored to national and island-level energy planning contexts. In Vanuatu, the approach has been applied to support power system planning and renewable energy integration, including scenario modelling for grids such as Efate. The work has focused on assessing optimal pathways for integrating solar PV and battery energy storage systems (BESS), while maintaining grid stability and reliability under increasing renewable penetration and climate-related risks. In the Solomon Islands, the solution has been used to inform strategic energy planning and electrification pathways, supporting government stakeholders in evaluating least-cost expansion options and strengthening institutional planning capability. This includes aligning infrastructure investments with long-term energy transition objectives and improving coordination with development partners. Across both contexts, the solution has been implemented in close collaboration with national utilities and energy ministries, with a strong emphasis on capacity building and knowledge transfer. This ensures that local teams are equipped to continue using and updating the models, supporting ongoing, data-driven decision-making and long-term sustainability.

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