Space Resources Value-Chain Business Modelling
A reference financial and business modelling capability for the lunar In-Situ Resource Utilisation (ISRU) value-chain, developed with the European Space Agency.
Overview
Europe is entering a decisive phase in lunar exploration. Sustainable human and robotic presence beyond Earth orbit will depend not only on technological capability but on viable economic models. In-Situ Resource Utilisation — producing water, oxygen, propellant, and construction materials directly from lunar resources — can reduce logistics costs, increase mission resilience, and lay the foundations of a broader cislunar economy.
While the technical feasibility of ISRU has been studied extensively, its economic viability remains uncertain. Lunar missions face high capital intensity, uncertain demand, evolving policy, and long development timelines. This programme develops an integrated financial and business modelling tool that quantifies cost, revenue, risk, and value creation across the ISRU value-chain — producing cash-flow projections, break-even points, and investment indicators such as NPV, IRR, and ROI, alongside scenario and sensitivity analysis.
The approach treats uncertainty, scenario exploration, and strategic flexibility as primary design variables rather than add-ons — giving ESA and the wider European ecosystem a transparent, reproducible capability to guide phased investment and de-risk future programmes.
Objectives
- Quantitatively evaluate the economic feasibility of ISRU-enabled lunar value-chains across varying technical and market assumptions.
- Compare alternative deployment strategies and infrastructure architectures over long time horizons.
- Assess risk exposure and identify key economic drivers through structured sensitivity and scenario analysis.
- Support strategic planning, phased investment decisions, and policy formulation consistent with ESA's exploration goals.
Work programme
The activity is structured into four tasks that carry the tool from definition through to validated application.
- Task 1
Framework definition
Consolidate user and system requirements and define the modelling framework with ESA.
- Task 2
Data & validation
Collect, document, and validate the datasets and assumptions underpinning the model.
- Task 3
Tool development
Implement and verify a modular, scalable modelling architecture with traceable outputs.
- Task 4
Business cases
Apply the tool to representative business cases, generating actionable insight.
Methodology & capabilities
Requirements are consolidated by how ESA will use the tool and by the evidence provided at each review. Five capability domains structure the work.
- Value-chain representation
- End-to-end modelling of assets, logistics, deployment sequences, operations, and revenue — comparing ISRU-enabled architectures against terrestrial supply alternatives.
- Financial engine
- Auditable cash-flow projections, break-even analysis, and NPV / IRR / ROI, traceable to inputs with transparent treatment of discounting, phasing, pricing, and utilisation.
- Decision analytics
- Structured scenario and sensitivity analysis over 10–30 year horizons, communicating performance distributions, spread, and dominant uncertainty drivers rather than single-point forecasts.
- Usability & reporting
- An accessible interface with interactive dashboards, clear visualisation, and standard reporting, backed by a user manual and technical documentation.
- Operational readiness
- Scalability, performance, maintainability, security, and deployability within ESA's environment, with documented software reuse and licensing.
Programme status & findings
The programme follows a requirement-driven review cycle from kick-off to final review. This space tracks milestones and will host findings and updates as the work progresses.
- Current
Kick-off
Requirements consolidation with ESA.
- Planned
Requirements Review
Framework and requirement baseline.
- Planned
Design Review
Architecture and module design.
- Planned
Final Review
Validated tool and handover.
Programme updates, interim results, and published findings will be posted here as the research progresses.
Partners & support
Team & contact
Dr Joshua Rasera
Postdoctoral Researcher
With Dr Michel-Alexandre Cardin (Principal Investigator)
Tool
The deterministic Excel model used internally is not public-facing and will never be linked from this site. A Python port of the tool is planned to be public-facing; once available, the intent is to embed it directly here so ESA and others can interact with it in-browser.







