Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning

Lin, Jian; Zhong, Xiaoyi; Wang, Jing; Huang, Yanjie; Bai, Xuetao; Wang, Xiaonan; Shah, Nilay; Xie, Shan Juan; Zhao, Yingru

doi:10.1016/j.apenergy.2021.117741

Cited by 12 publications

(1 citation statement)

References 60 publications

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“…The output of renewable energy technologies is calculated based on meteorological resource conditions. For example, the power output of the PV system is calculated by Eqs 14a,b (Lin et al, 2021).…”

Section: Technology Constraintsmentioning

confidence: 99%

Distributed optimization method for multi-area integrated energy systems considering demand response

Bai

Liu

et al. 2022

Front. Energy Res.

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Modern urban integrated energy systems are usually large in scale and consist of several subsystems located in different areas with various types of users. The design and operation optimization of multi-area integrated energy systems (IES) faces challenges in integrating user engagement, operational independence of subsystems, and the combination of long-term objectives and operation optimization. To solve these problems, the present study proposes a supply-demand coordinated optimization method for multi-area IES to balance the long-term overall objectives with the independence of participants such as users and subsystems. Increasing overall benefits and ensuring fairness can be achieved by using the proposed methods. In the case study, considering long-term objectives, the carbon emissions of the system operation are reduced by 9.43% compared to the case without the long-term objectives. Meanwhile, the results show an approximately 25% reduction in the total cost and a 65% reduction in carbon emission, compared to the baseline. Moreover, the cost of different users decreases by 13%–17% from the baseline at the optimal agreed price. This optimization method provides a holistic framework for the design and operation, supply-demand coordination, and pricing of transactions for multi-area IES involving long-term planning and construction with multiple interests.

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Section: Technology Constraintsmentioning

confidence: 99%

Distributed optimization method for multi-area integrated energy systems considering demand response

Bai

Liu

et al. 2022

Front. Energy Res.

Self Cite

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Facilitating circularity in city governance in the Republic of Serbia: a novel approach to modeling of energy efficiency big data mining

Radovanović,

Filipović,

Šimić

2024

Energy Efficiency

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Efficient use of energy and other resources, as the basic postulates of the circular economy, is a prerequisite for the green transition to more sustainable cities in the future. The main scientific goal of the paper is the development of a new approach to city governance when it comes to the inefficient use of energy, predominantly fossil fuels, mainly in developing and poor countries. Energy efficiency problems faced by these countries require the introduction of urgent, applicable, and realistically achievable solutions. A prerequisite for adequate analysis and modeling of energy efficiency performance, measures, policies, outcomes, and impacts is the introduction and functioning of the big data management system, which should begin with data mining. On the other hand, adequate data collection has been neglected in many of these countries. The study shows a way to reduce this gap, but in accordance with realistic and limited possibilities for countries with less favorable conditions. In that respect, a conceptual model for the Analytical Service for facilitating energy efficiency in city governance was developed and presented as a driver that can enable cities to manage energy more efficiently. The model is based on an interdisciplinary approach and on the needs of cities in the Republic of Serbia. However, it is designed to allow upgrading in accordance with the capabilities and resources of cities, primarily applicable in developing and poor countries.

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Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions

Wang

Zhong

et al. 2022

Applied Energy

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Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning

Cited by 12 publications

References 60 publications

Distributed optimization method for multi-area integrated energy systems considering demand response

Distributed optimization method for multi-area integrated energy systems considering demand response

Facilitating circularity in city governance in the Republic of Serbia: a novel approach to modeling of energy efficiency big data mining

Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions

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