Participatory Multi-Criteria Optimization of Hybrid Renewable-Storage Portfolios for High-Density Data Center Infrastructure in Hot Climates

This study evaluates renewable and storage capacity allocations for a 500 MW peak data centre campus operating in a generic hot climate for the 2030 planning year, using 2024 USD. The existing participatory framework combines preferences from 50 stakeholders, the four economic, technical, environmental and social dimensions of Analytic Hierarchy Process (AHP), and augmented epsilon constraint portfolio optimization. The original 15 record generation dataset provides the baseline technology assessment; solar PV, wind, hydropower and geothermal are retained as campus generation options, while battery energy storage systems (BESS) and thermal energy storage (TES) are co optimized through distinct power and energy variables. Continuous IT load, cooling demand, temperature dependent efficiency, PV heat derating, storage losses and a two hour residual load reserve are represented by four six hour planning balances. The original AHP priorities remain technical 0.34, economic 0.32, environmental 0.24 and social 0.10. Recomputed hybrid portfolios have annualized supply costs of USD 274.4–438.5 million/year under declared storage and climate assumptions. Generation LCOE and electrical/thermal LCOS are reported with explicit service denominators. A solar intensive comparator uses 500.0 MW/1544.0 MWh BESS to shift daytime energy while preserving reserve. The contribution is a focused extension of the existing AHP to optimization workflow to continuous digital infrastructure and cooling services, without introducing dynamic control algorithms. Reliability and allocation stability conclusions are conditional on the stated planning assumptions.