Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation

Yuekuan Zhou

Renewable Energy, 2023, vol. 202, issue C, 1324-1341

Abstract: Cleaner power production, electrochemical battery storages, multi-agent energy interactions, and smart energy management, are critical to transit towards carbon-neutral districts. However, there is no systematic and comprehensive review on formulation of multi-directional interactive systems, semi-empirical and data-driven models for online estimation of battery depreciations, stochastic based smart energy management framework through optimal design and smart control. In this study, a state-of-the-art review has been conducted, in respect to interactive energy sharing networks with electrochemical battery storages, from perspectives of battery degradation modelling development, smart energy management, single- and multi-objective optimisations, and energy flexibility enhancement. Advanced techniques are proposed for the multi-criteria performance enhancement of interactive energy sharing networks, including shared renewable energy within district communities, mobility-based spatiotemporal energy sharing, and multi-directional energy interaction modes. An in-depth and dialectical analysis has been provided to predict dynamic depreciation (calendar and cycling ageing) and lifetime on electrochemical battery storages, including semi-empirical and data-driven models. Heuristic smart control strategies are thereafter formulated, such as renewable-to-demand, grid-responsive and battery-protective control strategies. Afterwards, a comprehensive review is conducted on multi-objective optimisations from different stakeholders (such as prosumers, building owners, utility grid company, and policy-makers), together with strategies for multi-criteria decision making to help identify the ‘best of the best’ solution along the Pareto optimal front. The formulated multi-directional energy sharing systems, machine learning based data-driven model on battery degradation estimation, and smart energy management framework can promote renewable and sustainable energy networks in smart cities.

Keywords: Interactive energy sharing networks; Calendar and cycling ageing; Date-driven model; Deterministic and stochastic approaches; Smart energy management framework; Multi-objective optimisations (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:202:y:2023:i:c:p:1324-1341

DOI: 10.1016/j.renene.2022.12.026

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