Multi-Criteria Evaluation and Selection of Renewable Energy Battery Energy Storage System-A Case Study of Tibet, China

Pang, Nansheng; Meng, Qichen; Nan, Mengfan

doi:10.1109/access.2021.3107192

Cited by 13 publications

(8 citation statements)

References 47 publications

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“…This study comprehensively considered the effectiveness of energy storage in term of storage performance, emission reductions, and increased revenue for the power system Through a literature review [12][13][14], consultation with experts, and a project report anal ysis, it constructed a comprehensive evaluation index system for the utility of energy stor age power plants participating in the electricity market's flexible adjustment, as shown in Figure 2. The evaluation index system constructed in this study consists of three parts including the utility of energy storage, social welfare benefits, and the incremental reve nue effects of power systems, which were further divided into 10 secondary indicators The detailed explanations of the index system are given below.…”

Section: Analysis Of the Indicators Of The Flexible Regulation Of Uti...mentioning

confidence: 99%

Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids

Chai,

Zhang,

Wei

et al. 2024

Energies

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With the advancement of distributed power generation technology and the deepening of the low-carbon transformation of energy structure, a high proportion of renewable energy has become an inevitable trend in future energy systems, especially for microgrids. However, the volatility and uncertainty associated with renewable energy pose significant challenges to the secure and stable operation of power systems, necessitating the exploration of the flexible regulation of resources. Energy storage, as a crucial flexible resource characterized by technological diversity and a variety of regulation capabilities, has been extensively studied and applied. Nonetheless, the high investment costs and limited returns of energy storage technology, coupled with the ambiguous utility in different scenarios under the current electricity market’s framework, complicate its broader application. To thoroughly analyze the utility of energy storage in facilitating flexible adjustments in microgrids, this study developed a composite weight-TODIM (an acronym in Portuguese for interactive and multi-criteria decision making) model for assessing the utility of energy storage that incorporates heterogeneity in the risk preferences. This model enabled a comparative analysis of the utility of energy storage technology across multiple scenarios, taking the risk preferences of decision-makers into account, thereby providing strategic insights for the application of multi-temporal energy storage in microgrids. The feasibility and effectiveness of the model were validated through a case study analysis.

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Section: Analysis Of the Indicators Of The Flexible Regulation Of Uti...mentioning

confidence: 99%

Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids

Chai,

Zhang,

Wei

et al. 2024

Energies

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“…Pang et al [9] employed multi-characteristic decision-making approaches and a geographic information system to analyse the feasibility of renewable energy farm locations. Their findings can be used to expand policies on renewable energy and assess the feasibility of projects that have already been planned.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, for issues with interactive characteristics under fuzziness, the fuzzy-based hybrid technique of the ANP-TOPSIS is an outstanding multi-characteristic tool. The best renewable energy option is determined in this paper by considering interactions among characteristics [8][9][10]. The major goal of this research is to look at how the defined characteristics interact by employing a fuzzy-based hybrid technique of ANP-TOPSIS.…”

Section: Introductionmentioning

confidence: 99%

Strategic Renewable Energy Resource Selection Using a Fuzzy Decision-Making Method

Quteishat¹,

Younis²

2023

Intelligent Automation &Amp; Soft Computing

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Renewable energy is created by renewable natural resources such as geothermal heat, sunlight, tides, rain, and wind. Energy resources are vital for all countries in terms of their economies and politics. As a result, selecting the optimal option for any country is critical in terms of energy investments. Every country is nowadays planning to increase the share of renewable energy in their universal energy sources as a result of global warming. In the present work, the authors suggest fuzzy multi-characteristic decision-making approaches for renewable energy source selection, and fuzzy set theory is a valuable methodology for dealing with uncertainty in the presence of incomplete or ambiguous data. This study employed a hybrid method for order of preference by resemblance to an ideal solution based on fuzzy analytical network process-technique, which agrees with professional assessment scores to be linguistic phrases, fuzzy numbers, or crisp numbers. The hybrid methodology is based on fuzzy set ideologies, which calculate alternatives in accordance with professional functional requirements using objective or subjective characteristics. The best-suited renewable energy alternative is discovered using the approach presented.

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“…For the purpose of developing a new regulatory framework, they looked at a variety of case studies, with a particular emphasis on the Greek renewable energy sector. Pang and colleagues [21] investigated how the decision-making procedure for multi-criteria problems may be applied to the calculation of a regional action plan for the diffusion of renewable energy technology in the Philippines. They also conducted a case study on the island of Sardinia, which is located in the Mediterranean Sea.…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of Wind Turbine Systems for the Sultanate of Oman

Younis¹,

Quteishat²

2023

Computer Systems Science and Engineering

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The Sultanate of Oman has been dealing with a severe renewable energy issue for the past few decades, and the government has struggled to find a solution. In addition, Oman's strategy for converting power generation to sources of renewable energy includes a goal of 60 percent of national energy demands being met by renewables by 2040, including solar and wind turbines. Furthermore, the use of small-scale energy from wind devices has been on the rise in recent years. This upward trend is attributed to advancements in wind turbine technology, which have lowered the cost of energy from wind. To calculate the internal and external factors that affect the small-scale energy of wind technologies, the study used a fuzzy analytical hierarchy process technique for order of preference by similarity to an ideal solution. As a result, in the decision model, four criteria, seventeen sub-criteria, and three resources of renewable energy were calculated as options from the viewpoint of the Sultanate of Oman. This research is based on an examination of statistics on energy produced by wind turbines at various locations in the Sultanate of Oman. Further, six distinct miniature wind turbines were investigated for four different locations. The outcomes of this study indicate that the tiny wind turbine has a lot of potential in the Sultanate of Oman for applications such as homes, schools, college campuses, irrigation, greenhouses, communities, and small businesses. The government should also use renewable energy resources to help with the renewable energy issue and make sure that the country has enough renewable energy for its long-term growth.

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Multi-Criteria Evaluation and Selection of Renewable Energy Battery Energy Storage System-A Case Study of Tibet, China

Cited by 13 publications

References 47 publications

Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids

Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids

Strategic Renewable Energy Resource Selection Using a Fuzzy Decision-Making Method

Selection of Wind Turbine Systems for the Sultanate of Oman

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