Скачать или смотреть Multi-Objective Financial Optimization of Shared-Savings ESCOs for Renewable Energy Self-Consumption

This paper presents a multi-objective optimization model for structuring viable financial contracts in energy self-consumption projects based on Energy Service Companies (ESCOs). The model simultaneously optimizes the user's monetary savings while ensuring the ESCO's financial viability. By employing a multi-objective optimization approach to obtain the Pareto front, the methodology enables a comprehensive trade-off analysis between user benefits (through savings allocation $\beta$) and ESCO revenue (via avoided cost sharing $\alpha$). Key variables such as the optimal ESCO contract period and model sensitivity to electricity tariffs, discount rates, and the system's capacity factor are thoroughly evaluated. Furthermore, detailed sensitivity analyses are visualized using Pareto frontiers and contour maps to identify optimal financial performance regions. The methodology is validated through a case study, demonstrating its applicability in structuring optimal Energy Savings Performance Contracts (ESPCs). A significant contribution of this work is the integration of debt coverage indicators (DSCR, LLCR, and PLCR) to validate the model's bankability within a Project Finance framework. This study provides a robust decision-making tool for users, investors, and regulators seeking sustainable business models for distributed generation supported by Project Finance structures.