Modeling and Optimization on Energy Efficiency of Urban Integrated Energy System

Li, Siwei; Zhang, Peng; Wang, Hanyi; Cai, Zhongwei; Zhu, Xueke; Yuan, Feng; Zhang, Chuziang

doi:10.1109/ei2.2018.8582411

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…The heat generated by the gas engine during the power generation is utilized by absorption water heating and chilling unit to produce cooling or thermal energy. The energy conversion efficiency models and parameters of the typical equipment in this paper can be found in (Liu et al, 2016;Abeysekera et al, 2016;Huang et al, 2018;Li et al, 2018;Wang et al, 2020;Xi et al, 2021). Particularly, the equivalent models mentioned above are not the actual physical equipment but the equivalence and abstraction of each piece of equipment in the IES according to the energy conversion relationship.…”

Section: ) System Descriptionmentioning

confidence: 99%

“…In addition to the problems mentioned above, the current references mainly focus on the planning and operation mode optimization of the IES (Li et al, 2018;Qin et al, 2021;, but they pay less attention to its performance. Besides, there is most literature only considering an independent energy system (Zhang et al, 2021;Ding et al, 2021) but they neglect the complementary coupling between different energy subsystems in the IES.…”

Section: Introductionmentioning

confidence: 99%

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An Energy Efficiency Index Formation and Analysis of Integrated Energy System Based on Exergy Efficiency

Huang

Wang

2021

Front. Energy Res.

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In the context of the energy crisis and environmental deterioration, the integrated energy system (IES) based on multi-energy complementarity and cascaded utilization of energy is considered as an effective way to solve these problems. Due to the different energy forms and the various characteristics in the IES, the coupling relationships among various energy forms are complicated which enlarges the difficulty of energy efficiency evaluation of the IES. In order to flexibly analyze the energy efficiency of the IES, an operation efficiency evaluation model for the IES is established. First, energy utilization efficiency (EUE) and exergy efficiency (EXE) are proposed based on the first/second law of thermodynamics. Second, the energy efficiency models for five processes and four subsystems of the IES are formed. Lastly, an actual commercial-industrial park with integrated energy is employed to validate the proposed method.

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Section: ) System Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Energy Efficiency Index Formation and Analysis of Integrated Energy System Based on Exergy Efficiency

Huang

Wang

2021

Front. Energy Res.

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“…In [26], the relationship between user matching and power allocation was discussed to maximize EE considering the constraints of load balance, users' QoS requirement and cross-tier interference. An EE optimization problem for the Urban Integrated Energy Systems (UIES) was proposed in [27] and the external point method was applied to solve the optimization problem. Reference [28] studied the impacts of transceiver impairments for coordinated transmission in Private Time Division LTE (Private TD-LTE) wireless network.…”

Section: Several Wireless Communication System Models Focusing On Ee mentioning

confidence: 99%

Energy Efficiency Optimization for NOMA-Based Cognitive Radio With Energy Harvesting

Wang

Lam

et al. 2019

IEEE Access

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Energy Efficiency (EE) is a significant problem for Cognitive Radio (CR) network. Recently, more interest has focused on EE optimization problem in wireless-powered communication. In conventional CR network, spectrum sensing and limited battery capacity may decrease system performance. In this article, a Non-Orthogonal Multiple Access (NOMA) system with Simultaneous Wireless Information and Power Transfer (SWIPT) for CR network is studied. The frame structure is designed with two subslots. In the downlink subslot, the Secondary Users (SUs) harvest wireless energy from Radio Frequency (RF) signals and sense the spectrum state simultaneously. In the uplink subslot, SUs transmit their independent information to Base Station (BS). Two modes are considered in this article: overlay network and underlay network. A CR-NOMA system model is presented and the approximate expressions of EE for two modes are obtained. Based on the subslot allocation, two optimization problems aiming to maximize EE are formulated. In the overlay network, the constraints are transmit power and total transmission slot. In the underlay network, instead of sensing the spectrum, SUs utilize the channel with primary user (PU) simultaneously. Thus, the constraints of interference threshold and channel gain of PU are also taken into considered. The proposed optimization problems can be regarded as nonlinear fractional programming. The Dinkelbach method is used to transform the nonlinear fractional programming problems into the parametric ones. Simulation results show that there indeed exists a best downlink subslot to maximize the EE of CR-NOMA networks.

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“…Based on the electricity-heat-cooling-gas IES established inLi H et al (2021);Li et al (2018), the effectiveness and practicability of the low-carbon economy dispatch model proposed in this article are verified. The grid structure of the IES is shown in Figure1.…”

mentioning

confidence: 92%

Low-Carbon Economic Dispatch for Integrated Energy System Through the Dynamic Reward and Penalty Carbon Emission Pricing Mechanism

Shi

Lin

et al. 2022

Front. Energy Res.

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The integrated energy system (IES) plays a key role in energy conservation and emission reduction. In order to realize the low-carbon economic dispatch of the IES, current studies usually utilize the fixed and the ladder-type pricing mechanism-based carbon emission unit cost (CEUC) in the optimal dispatch model. However, those mechanisms fail to take carbon emissions levels of the system into account, and the relevant parameters, such as the interval length, are hard to set. In order to tackle this challenge, a CEUC model with a dynamic reward and penalty pricing mechanism (DRPPM) is constructed. And then an optimal dispatch model to minimize the comprehensive operation cost, including the carbon emission cost, the energy purchasing cost, and the equipment operation cost, is proposed. At last, an actual electricity–heat–cooling–gas IES is employed to analyze the impact of parameters of the CEUC model on the dispatch.

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Modeling and Optimization on Energy Efficiency of Urban Integrated Energy System

Cited by 7 publications

References 5 publications

An Energy Efficiency Index Formation and Analysis of Integrated Energy System Based on Exergy Efficiency

An Energy Efficiency Index Formation and Analysis of Integrated Energy System Based on Exergy Efficiency

Energy Efficiency Optimization for NOMA-Based Cognitive Radio With Energy Harvesting

Low-Carbon Economic Dispatch for Integrated Energy System Through the Dynamic Reward and Penalty Carbon Emission Pricing Mechanism

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