Software Tools for Energy Storage Valuation and Design

Nguyen, Tu A.; Byrne, Raymond H.

doi:10.1007/s40518-021-00186-4

Cited by 12 publications

(3 citation statements)

References 29 publications

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“…The primary objective of these tools is to simplify technical challenges for stakeholders, thereby lowering the obstacles to the widespread adoption of ESSs. Some examples of such tools are Storage Value Estimation Tool (StorageVET), QuESt-Energy Storage Application Suite, MASCORE-microgrid asset sizing tool, and RE Integration and Optimization (REopt) [195]. F. Vecchi et al [196] review the around twelve energy modeling tools for the REC having the potential and evaluation for it.…”

Section: Modeling Tools/softwarementioning

confidence: 99%

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Ahmed,

Ali,

Ciocia

et al. 2024

Energies

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The Renewable Energy Community (REC) in Europe promotes renewable energy sources (RESs), offering social, economic, and environmental benefits. This new entity could alter consumer energy relationships, requiring self-consumption, energy sharing, and full utilization of RESs. Modernizing energy systems within the REC requires addressing self-consumption, energy sharing, demand response, and energy management system initiatives. The paper discusses the role of decentralized energy systems, the scenarios of the REC concept and key aspects, and activities involving energy generation, energy consumption, energy storage systems, energy sharing, and EV technologies. Moreover, the present work highlights the research gap in the existing literature and the necessity of addressing the technological elements. It also highlights that there is no uniform architecture or model for the REC, like in the case of microgrids. Additionally, the present work emphasizes the role and importance of technological elements in RECs, suggesting future recommendations for EMS, DSM, data monitoring and analytics, communication systems, and the software or tools to ensure reliability, efficiency, economic, and environmental measures. The authors also highlight the crucial role of policymakers and relevant policies, which could help in implementing these technological elements and show the importance of the RECs for a sustainable energy shift and transition.

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Section: Modeling Tools/softwarementioning

confidence: 99%

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Ahmed,

Ali,

Ciocia

et al. 2024

Energies

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“…While there are many open-source and commercial tools available to perform OPF and PF studies for either transmission or distribution systems, detailed reviews of which can be found in [24] and [25], these tools focus on simulating either transmission-only or distribution-only power networks and do not provide capabilities to solve ITD power network optimization problems.…”

Section: B Opf Formulationsmentioning

confidence: 99%

Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl

Ospina¹,

Fobes²,

Bent³

et al. 2022

Preprint

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Conventional electric power systems are composed of different unidirectional power flow stages of generation, transmission, and distribution, managed independently by transmission system and distribution system operators. However, as distribution systems increase in complexity due to the integration of distributed energy resources, coordination between transmission and distribution networks will be imperative for the optimal operation of the power grid. However, coupling models and formulations between transmission and distribution is non-trivial, in particular due to the common practice of modeling transmission systems as single-phase, and distribution systems as multiconductor phase-unbalanced. To enable the rapid prototyping of power flow formulations, in particular in the modeling of the boundary conditions between these two seemingly incompatible data models, we introduce PowerModelsITD.jl, a free, open-source toolkit written in Julia for integrated transmissiondistribution (ITD) optimization that leverages mature optimization libraries from the InfrastructureModels.jl-ecosystem. The primary objective of the proposed framework is to provide baseline implementations of steady-state ITD optimization problems, while providing a common platform for the evaluation of emerging formulations and optimization problems. In this work, we introduce the nonlinear formulations currently supported in PowerModelsITD.jl, which include AC-polar, AC-rectangular, current-voltage, and a linear network transportation model. Results are validated using combinations of IEEE transmission and distribution networks.Gen. m active power output on phase ϕ. Q D,ϕ g,m Gen. m reactive power output on phase ϕ. v D,ϕ i Voltage magnitude at bus i phase ϕ.

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“…Wang et al [4] provided a comprehensive literature review of different marine renewable energy storage technologies, stating that no individual technology has emerged as a solution to all storage requirements. Nguyen et al [5] provided a review of a variety of software tools used for ESS valuation, emphasising that research gaps exist in simulation models accounting for non-linear operating characteristics and in the provision of better capability to the tool users. Li et al [6] carried out a cost and performance assessment on coupling an offshore compressed air energy storage (CAES) system with an offshore wind farm, with findings suggesting that viability is highly dependent on system conditions.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Model Comparison of the Energy Conversion Process for an Offshore Hydro-Pneumatic Energy Storage System

Borg

Sant

Buhagiar³

et al. 2023

Applied Sciences

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Energy storage is essential if net zero emissions are to be achieved. In fact, energy storage is a leading solution for reducing curtailment in an energy system that relies heavily on intermittent renewables. This paper presents a comparison between two numerical models which simulate the energy conversion unit performance of a hydro-pneumatic energy storage system. Numerical modelling is performed in PythonTM (Alpha Model) and Mathworks® Simulink® and SimscapeTM (Beta Model). The modelling aims to compare the time-series predictions for the simplified model (Alpha Model) with the more physically representative model (Beta Model). The Alpha Model provides a quasi-steady-state solution, while the Beta Model accounts for machinery inertias and friction within hydraulic flow circuits. Results show that the energy conversion performance simulations between the two models compare well, with a notable difference during system start-up due to the inclusion of transients in the Beta Model. Given its simplicity, the Alpha Model has high computational efficiency, while the Beta Model requires more computational time due to its complexity. This study showed that, despite its simplicity, the Alpha Model is able to generate results that are very similar to those from the Beta Model (with the average RMSE being less than 5%).

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Software Tools for Energy Storage Valuation and Design

Cited by 12 publications

References 29 publications

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl

A Numerical Model Comparison of the Energy Conversion Process for an Offshore Hydro-Pneumatic Energy Storage System

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