Reviewing local and integrated energy system models: insights into flexibility and robustness challenges

TL;DR

This paper systematically reviews 116 local and integrated energy system models to identify best practices and challenges in modeling flexibility and robustness for decarbonization efforts.

Contribution

It provides a comprehensive analysis of current modeling approaches, highlighting gaps in sector coupling, social aspects, and metrics, and offers a roadmap for future improvements.

Findings

Storage systems and sector coupling are common flexibility options.

Electric vehicles for smart charging or V2G are rarely modeled.

Social aspects are often neglected or modeled exogenously.

Abstract

The electrification of heating, cooling, and transportation to reach decarbonization targets calls for a rapid expansion of renewable technologies. Due to their decentral and intermittent nature, these technologies require robust planning that considers non-technical constraints and flexibility options to be integrated effectively. Energy system models (ESMs) are frequently used to support decision-makers in this planning process. In this study, 116 case studies of local, integrated ESMs are systematically reviewed to identify best-practice approaches to model flexibility and to address non-technical constraints. Within the sample, storage systems and sector coupling are the most common types of flexibility. Sector coupling with the transportation sector, specifically with electric vehicles that could be used for smart charging or vehicle-to-grid operation, is rarely considered. Social aspects are generally either completely neglected or modeled exogenously. Lacking actor heterogeneity, which can lead to unstable results in optimization models, can be addressed through building-level information. A strong emphasis on cost is found and while emissions are also frequently reported, additional metrics such as imports or the share of renewable generation are nearly absent. To guide future modeling, the paper concludes with a roadmap highlighting flexibility and robustness options that either represent low-hanging fruit or have a large impact on results.