Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study

Xy, Zheng; Qiu, Yuwei; Zhan, Xiangyan; Zhu, Xiaoneng; Keirstead, James; Shah, Nilay; Zhao, Yingru

doi:10.1016/j.energy.2017.07.139

Cited by 37 publications

(13 citation statements)

References 32 publications

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“…The results indicate that the trade-off between cost and emissions will have a significant impact on the selection of retrofit options. Zheng et al [30] conducted an industrial retrofitting case study considering both demand-side retrofits and supply side technical upgrades. The use of fossil fuels turns out to be essential during summer, and the technology mix is greatly affected by the grid electricity price.…”

Section: Simultaneous Optimization Of Energy Supply and Saving Strategiesmentioning

confidence: 99%

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

et al. 2020

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Integrated urban energy systems satisfy energy demands in a cost-effective manner by efficiently combining diverse technologies and energy saving strategies. However, the contribution of an individual technology within a complex system is difficult to quantify. This study introduces a generalized "system value" approach to quantify the contribution of an individual design decision towards improving the system design (e.g., achieving a lower cost design). It measures the contribution of an individual technology to the whole system in the range between two benchmarks that respectively represent complete exclusion of the technology and the optimal penetration level. The method is based on a technology-rich Mixed Integer Linear Programming (MILP) model for optimal design of urban energy systems. The model considers multi-energy supply technologies, networks, storage technologies and various energy saving strategies. A stochastic formulation is further developed to quantify uncertainties of the system value. The system values of nine kinds of energy supply technologies and three categories of energy-saving strategies are quantified via a case study, which illustrates the variation in the system values for individual technologies with different levels of penetration, and multi-energy supply technologies can have a large impact in integrated systems.

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Section: Simultaneous Optimization Of Energy Supply and Saving Strategiesmentioning

confidence: 99%

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

et al. 2020

Self Cite

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“…To comprehensively measure the environmental objective, the life cycle assessment method was used to calculate the environmental impact caused by various pollutants in the chain of energy production, transportation, and consumption. Xuyue Zheng et al [17] presented an approach for modeling and optimizing decisions for retrofitting urban energy systems, with a focus on the optimal configuration and operation to satisfy the energy requirements, which was required by supply side and demand side technologies. A mixed integer nonlinear programming model was formulated in GAMS and solved using Lindo optimizer.…”

Section: Literature Reviewmentioning

confidence: 99%

Bi-level Planning Model for Urban Energy Steady State Optimal Configuration

Wang

Zhou

Dong

et al. 2020

Preprint

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BackgroundWith the rapid development of social economy, energy consumption has continued to grow, and the contradiction between energy supply and demand has become increasingly tense. Cities account for two-thirds of global primary energy demand that makes urban energy systems become a center of sustainable transitions.MethodsThis paper builds a bi-level planning model for steady state optimal configuration to realize the reasonable planning of the urban energy structure. The first level mainly analyzes the relationship between coal, petroleum, natural gas, and renewable energy when the energy system is in a stable state. Based on the steady-state relationship of multiple energy sources, the second level is mainly aiming at energy allocation of the city, to achieve the minimization of construction and operating costs of the urban energy system, as well as the pollutant emissions. And nonlinear system dynamics and the non-dominated sorting genetic algorithm II (NSGA-II) algorithm are implemented to solve the model.ResultsThe model studies the interaction between four energy sources to find out the demand of each energy source when the urban energy system is in a stable state. To illustrate the advantage of the method, the application of the planning model proposed in this paper is discussed in the energy system of city J of China. Under the premise of ensuring the stability of the urban energy system, the city J has two energy planning schemes: mainly coal or mainly high-quality energy.ConclusionThe coal-based energy structure can save economic costs. However, from the perspective of actual demand or ecological environment, the urbanization level of city J is relatively high, and the coal-based energy structure is unreasonable and may cause greater environmental pollution. Under the type of high-quality energy development model, city J should continue to strengthen the adjustment of the industrial structure and optimize and upgrade the urban development path. The focus is on strengthening the use of clean energy and improving energy efficiency, thereby further reducing the demand for traditional fossil energy in the process of economic development.

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“…On the one hand, during the initial planning of some existing PIESs, the equipment capacity allocation was redundant, which led to low utilisation rate of some equipment, photovoltaic energy abandonment, and so on [21,22], resulting in the waste of resources [20]. On the other hand, as the load increases year by year, the capacity of some equipment will be insufficient and the output efficiency will decrease, as a result, the energy supply cannot meet the load demand [23].…”

Section: Introductionmentioning

confidence: 99%

Multi‐scene upgrade and renovation method of existing park‐level integrated energy system based on comprehensive analysis

Cao

Jia

et al. 2020

Energy Conversion and Economics

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Some of the existing park‐level integrated energy systems (PIESs) experience problems such as mismatch between energy supply and demand, high operation costs, and low renewable energy consumption capacity. To improve the energy supply level of the existing PIES, the multi‐scene upgrade and renovation method of the existing PIES based on comprehensive analysis is proposed. First, the physical model of the existing PIES for renovation is constructed, including expansion of existing equipment and newly added candidate equipment. Second, to determine the deficiencies, the current situation of the existing PIES is analysed based on the planning and operation data as well as indexes including economy, photovoltaic consumption capacity, and so on. On this basis, multiple renovation scenes are set up, and the upgrade and renovation model is constructed, assuming minimal investment, operation, and maintenance costs to be the objective function. Thereafter, the equipment allocation scheme of each scene is solved, for which comprehensive evaluation is performed. Finally, considering an existing PIES as an example, the weak energy storage and heating links are upgraded and renovated, effectively improving the performance of the existing PIES in reducing costs and carbon emissions, and improving energy utilisation efficiency.

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Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study

Cited by 37 publications

References 32 publications

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

Bi-level Planning Model for Urban Energy Steady State Optimal Configuration

Multi‐scene upgrade and renovation method of existing park‐level integrated energy system based on comprehensive analysis

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