Rencolab provides the Energy Model Chainer, an intuitive cloud platform designed to simplify the planning of renewable energy systems. This tool allows project developers and EPC companies to rapidly analyze hundreds of technology combinations for specific locations. The platform delivers clear economic and $\text{CO}_2$ balances, enabling faster decision-making and significant reductions in planning costs.
Funding
Funding not disclosed
Founders
Product
Problem
Feasibility studies for decentralized renewable energy projects often require weeks of manual data gathering, spreadsheet modeling, and expert iteration, leading to high consulting costs and delayed investment decisions. Stakeholders struggle to evaluate many technology combinations (PV, wind, storage, charging, heat, hydrogen) while accounting for site‑specific weather, load profiles, electricity tariffs, and CO₂ factors. This complexity makes it difficult to identify economically viable configurations and to communicate clear, data‑driven proposals to investors and regulators.
Solution
Rencolab’s Energy Model Chainer is a cloud‑native platform that automates model‑based planning of hybrid energy systems. Users input a site location and select technology options; the platform instantly assembles a modular simulation model, pulls high‑resolution weather, demand, price, and emissions data, and runs deterministic and stochastic analyses. Results include detailed economic KPIs (CAPEX, OPEX, LCOE), CO₂ balances, and scenario comparisons, all visualized in an interactive dashboard. Because the tool runs in a browser, all project participants—developers, EPC contractors, investors, and operators—can collaborate on a single, version‑controlled model in real time. The platform also generates export‑ready documentation that complies with EU funding and reporting requirements, enabling faster proposal preparation and reduced reliance on external consultants.
Target Audience
The primary users are renewable energy project developers, EPC firms, and plant operators who need rapid, data‑driven feasibility assessments. Secondary users include investors, financiers, and manufacturers seeking to demonstrate the value proposition of their technologies within integrated system studies.
Features
- Modular component library covering PV, wind, battery, hydrogen, heat, and charging infrastructure, allowing any combination to be linked in a single model.
- Cloud‑based, browser‑accessible interface with real‑time collaborative editing and version control.
- Automatic ingestion of location‑specific weather datasets, load profiles, electricity market prices, and GHG emission factors.
- Deterministic and Monte‑Carlo simulation engines delivering economic (CAPEX, OPEX, LCOE) and environmental (CO₂) KPIs.
- Interactive scenario comparison tools with heat‑maps, sensitivity analysis, and optimization of technology sizing.
- Export functions for EU funding applications, regulatory reporting, and integration with external ERP or GIS systems via a RESTful API.
- Flexible licensing model: per‑project pay‑per‑use or enterprise subscription with scalable compute resources.
- Built‑in compliance checks for EU energy‑transition regulations and documentation standards.