Comprehensive Benefit Analysis for Integrated Energy Systems Projects Based on AHP-fuzzy

Yang, Yue; Xue, Wanlei; Kang, Shuyu; Zhao, Xin

doi:10.1109/ei2.2018.8582505

Cited by 3 publications

(1 citation statement)

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“…Teixeira proposed a performance indicators matrix that allows the evaluation and monitoring of energy consumption, energy costs, and CO 2 emissions, leading to the identification of opportunities for performance improvement for continuous and sustainable development in municipalities [23]. Similarly, Yang et al formulated an extensive set of benefit evaluation indices tailored to the fundamental characteristics of Integrated Energy Systems projects, and they subsequently developed a comprehensive benefit evaluation model based on the AHP-fuzzy theory [24]. Berjawi et al presented a novel holistic evaluation framework based on the System-of-Systems approach for systems analysis coupled with an indicator-based approach for evaluation.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

Zhao,

Zhong,

et al. 2023

Sustainability

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This study proposes a scientific method to assess the rationality of planning and design of self-sufficient wind power systems (SS-WPSs) at ports. The evaluation method proposed is based on the concept of integrated development of water transportation and a clean energy system, taking into account the demand of the former and the availability of the latter. First, the factors representing the property of the system from the perspectives of economy, environment, energy efficiency, self-sufficiency, and reliability are calculated. The evaluation method is developed by using a combined Analytical Hierarchy Process and Entropy Weight Method (AHP-EWM) to calculate the subjective and objective weights of these factors. Subsequently, a combined weighting method based on game theory is employed with the aim of minimizing deviations between the subjective and objective weights and the combination weights, thereby determining the optimal combination of weights of the evaluation factors. These weights will be used to calculate evaluation results under different planning schemes. To validate the effectiveness of the method, a case study is developed based on a wind power energy demonstration project at a dock of a container port. Study results reveal that Option C, considered in this study, outperforms other options with the highest evaluation score of 0.737. Sensitivity analysis further underscores the reliability of Option C, showing a robust 96.15% probability of achieving the maximum final score within a 20% variation range. This indicates that the case study demonstrates that intuitive and realistic evaluation results can be obtained from the proposed method. These results affirm the practicality of our approach, providing invaluable insights for planners, policymakers, and stakeholders involved in sustainable energy initiatives.

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Section: Introductionmentioning

confidence: 99%