The probabilistic linguistic decision framework of distributed energy storage system project plan based on the sustainability perspective

Shang, Kejian

doi:10.1016/j.egyr.2022.11.056

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…① DES can provide the transfer of energy in tempral dimension, providing infrastructure for the consumption and storage of renewable energy [16]. ② DES access location is flexible and can provide green power support at different distribution network (DN) nodes, thereby meeting the personalized requirements of end-users [17]. ③ There is a lack of the business model and value evaluation system suitable for DES, and relying solely on current arbitrage of the energy market cannot fully increase the willingness of resource users and meet cost recovery [18].…”

Section: Introductionmentioning

confidence: 99%

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Gao,

Jin,

Wang

et al. 2024

Journal of Modern Power Systems and Clean Energy

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The scale of distributed energy resources is increasing, but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor responsiveness. To address this issue, the concept of cleanness value of distributed energy storage (DES) is proposed, and the spatiotemporal distribution mechanism is discussed from the perspectives of electrical energy and cleanness. Based on this, an evaluation system for the environmental benefits of DES is constructed to balance the interests between the aggregator and the power system operator. Then, an optimal low-carbon dispatching for a virtual power plant (VPP) with aggregated DES is constructed, wherein energy value and cleanness value are both considered. To achieve the goal, a green attribute labeling method is used to establish a correlation constraint between the nodal carbon potential of the distribution network (DN) and DES behavior, but as a cost, it brings multiple nonlinear relationships. Subsequently, a solution method based on the convex envelope (CE) linear reconstruction method is proposed for the multivariate nonlinear programming problem, thereby improving solution efficiency and feasibility. Finally, the simulation verification based on the IEEE 33-bus DN is conducted. The simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to respond. Meanwhile, resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.

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Section: Introductionmentioning

confidence: 99%

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Gao,

Jin,

Wang

et al. 2024

Journal of Modern Power Systems and Clean Energy

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“…The framework attempts to optimize the decision-making process by providing a systematic technique that takes into account the intricacies and interconnections inherent in the selection of energy storage systems. [11][12][13][14][15] This research provides a thorough overview of energy storage technologies, including commonly used systems such as lithium-ion batteries, lead-acid batteries, flow batteries, and supercapacitors. The examination covers several technical criteria such as energy and power density, cycle life, and efficiency, along with economic considerations including startup expenses, operating and maintenance costs, and replacement prices.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Storage System Selection: A Decision Support Framework

Rozhdestvenskiy,

Bobba,

Sharma

et al. 2024

E3S Web Conf.

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This study enhances the domain of optimum energy storage system selection by offering a complete decision support framework that incorporates technical, economic, and environmental factors. The technical investigation examines energy and power density measurements, which demonstrate the exceptional volumetric energy storage capacities of lithium-ion batteries at 250 Wh/L. This highlights their appropriateness for applications that prioritize compactness. Lead-acid batteries are a cost-effective option that have a lower energy density of 80 Wh/L. This makes them particularly advantageous in situations where volume limitations are not as important. Flow batteries and supercapacitors are positioned in the middle, with flow batteries offering a well-balanced profile of energy and power density, while supercapacitors excel in applications that need fast charging and discharging. An in-depth evaluation of the startup costs and ongoing expenditures is conducted to thoroughly assess the economic feasibility of adopting an energy storage system. Although lithium-ion batteries have a higher upfront cost of $100,000, they demonstrate a well-balanced economic profile by offering a significant 66% decrease in operating expenditures compared to lead-acid batteries. Lead-acid batteries, which have an initial price tag of $60,000, demonstrate cost-effectiveness but result in higher ongoing costs. Flow batteries and supercapacitors are positioned as premium alternatives, with respective beginning prices of $150,000 and $200,000. Environmental sustainability is a fundamental factor that is assessed via life cycle analysis. Lithiumion batteries, while very efficient, give rise to problems over resource depletion and environmental damage linked to mining activities. Lead-acid batteries, due to their recyclability, provide a more ecologically sound alternative. Flow batteries, which use readily available and environmentally safe components, are very compatible with objectives aimed at promoting sustainability. Supercapacitors, which often use ecologically friendly materials, have potential in reducing negative environmental impacts. MultiCriteria Decision Analysis (MCDA) is used to integrate technical, economic, and environmental assessments. Lithium-ion batteries are considered the most favorable choice due to their exceptional technical performance and economic viability. Lead-acid batteries have a strong market position due to their cost-efficiency and ecofriendliness. Flow batteries and supercapacitors, while they have distinct benefits, are only suitable for certain applications. The stability of the framework is shown by sensitivity analysis, which identifies energy density and beginning costs as crucial factors. Engaging stakeholders helps confirm the framework’s usefulness, ensuring that it can be practically used and remains relevant in guiding well-informed choices in the ever-changing field of energy storage technologies. This study provides vital insights into the discussion on sustainable and efficient energy solutions, presenting a clear plan for decision-makers to navigate the intricacies of selecting energy storage systems.

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Energy sustainability blueprint: A critical analysis of macro and micro influential factors in Pakistan

Mehmood,

Moktadir,

Zhou

et al. 2023

Energy for Sustainable Development

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The probabilistic linguistic decision framework of distributed energy storage system project plan based on the sustainability perspective

Cited by 4 publications

References 39 publications

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Optimal Energy Storage System Selection: A Decision Support Framework

Energy sustainability blueprint: A critical analysis of macro and micro influential factors in Pakistan

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