Capacity planning and optimization for integrated energy system in industrial park considering environmental externalities

Sun, Junbo; Ruze, Nuermaimaiti; Zhang, Jianjun; Shi, Jing; Shen, Boyang

doi:10.1016/j.renene.2020.11.045

Cited by 45 publications

(9 citation statements)

References 16 publications

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“…

{italicCap}_{GT}^{\min}

and

{italicCap}_{GT}^{\max}

of calculation details are shown in the following formula.

{italicCap}_{GT}^{\min} = \min ({italicCap}_{GT}^{IFEL}, {italicCap}_{GT}^{IFTL}),

{italicCap}_{GT}^{\max} = \max ({italicCap}_{GT}^{IFEL}, {italicCap}_{GT}^{IFTL}) .

The reasons for obtaining the upper and lower limits of installed capacity under operation strategy IFTL and IFEL are summarized as follows. At present, there are two common operation strategies of traditional system 1 . FTL: the heat load is given priority to meeting, and the power production is determined by the heat supply 2 .…”

Section: Eh‐based Configuration Optimization Methods Of Iesmentioning

confidence: 99%

“…The integrated energy system (IES), which has aroused widespread attention due to its advantages in improving energy efficiency and promoting sustainable energy development, achieves collaborative optimization at the planning and operation levels among multiple energy systems based on meeting the energy needs of diversified users by integrating multiple energy resources such as cooling, heating, electricity, and gas. 1,2 However, with the application of various advanced devices and the penetration of large-scale stochastic and intermittent renewable energy sources, as well as the increasingly complex operational characteristics of multiple energy devices and the coupling and conversion relationships of various energy flows in IES, 3 the conventional configuration optimization method of IES, which takes the overall total installed capacity of energy devices as the optimization object without considering the influence of installed combination on the configuration optimization of IES, is no longer applicable to the increasingly complex IES. The multi-energy complementary characteristics of IES can be realized by interconnecting multiple energy devices.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy hub‐based configuration optimization method of integrated energy system

Qiao

Xiong

et al. 2022

Intl J of Energy Research

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Summary Aiming at the traditional method for configuration optimization of integrated energy system (IES) that does not consider the impact of the way the energy devices are configured (including the installed combination, installed capacity, and operation strategy) and just optimizes the total installed capacity according to the system energy requirement, which will give rise to some problems such as high energy consumption, low efficiency and energy waste, this paper puts forward the innovative and extended energy hub (EH) to study the coupling characteristics of multi‐energy flow, and proposes a configuration optimization method of IES based on EH. The proposed method establishes an EH‐based combination model of gas turbines for selecting combination schemes of multiple gas turbines, and then builds an EH‐based configuration optimization model of IES for determining the optimal configuration schemes of energy devices by considering the economy, energy efficiency, and environmental benefits. Finally, the results from the two schemes compared in the research case illustrate that the scheme considering configuration optimization of gas turbines decreases the investment cost and the CO2 emissions by 8.9% and 8.16%, respectively, and increases the comprehensive energy efficiency from 0.789 to 0.8097. It is further proved that the effectiveness of the proposed method and the research significance of the configuration optimization. Highlights A configuration optimization method of IES is proposed based on EH, which can achieve economic, efficient, and environmentally friendly operation of the system. The concept of EH is adopted to model energy devices separately, and the innovative and extended EH is proposed to study the coupling characteristics of multiple energy flows. EH‐based operation configuration model and combination model of gas turbines are established to optimize the installed capacity and combination, ensuring that the gas turbines can flexibly adapt to the diversified energy demand.

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“…

{italicCap}_{GT}^{\min}

and

{italicCap}_{GT}^{\max}

of calculation details are shown in the following formula.

{italicCap}_{GT}^{\min} = \min ({italicCap}_{GT}^{IFEL}, {italicCap}_{GT}^{IFTL}),

{italicCap}_{GT}^{\max} = \max ({italicCap}_{GT}^{IFEL}, {italicCap}_{GT}^{IFTL}) .

Section: Eh‐based Configuration Optimization Methods Of Iesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy hub‐based configuration optimization method of integrated energy system

Qiao

Xiong

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…Renewable energy systems have garnered considerable attention recently since they can realize environmental protection while generating low carbon emissions. Sun et al [11] constructed a capacity planning and optimization model to minimize the cost per unit power generated by utilizing wind and photovoltaic power generation while taking into account environmental externalities. Hafez et al [12] focused on the optimal planning, design, sizing, and operation of a hybrid renewable energy-based microgrid to minimize the lifecycle costs and environmental emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

Wei¹,

Zhao²,

Cong³

et al. 2023

Energy Engineering

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With increasing renewable energy utilization, the industry needs an accurate tool to select and size renewable energy equipment and evaluate the corresponding renewable energy plans. This study aims to bring new insights into sustainable and energy-efficient urban planning by developing a practical method for optimizing the production of renewable energy and carbon emission in urban areas. First, we provide a detailed formulation to calculate the renewable energy demand based on total energy demand. Second, we construct a dual-objective optimization model that represents the life cycle cost and carbon emission of renewable energy systems, after which we apply the differential evolution algorithm to solve the optimization result. Finally, we conduct a case study in Qingdao, China, to demonstrate the effectiveness of this optimization model. Compared to the baseline design, the proposed model reduced annual costs and annual carbon emissions by 14.39% and 72.65%, respectively. These results revealed that dual-objective optimization is an effective method to optimize economic benefits and reduce carbon emissions. Overall, this study will assist energy planners in evaluating the impacts of urban renewable energy projects on the economy and carbon emissions during the planning stage.

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“…The externalities related to environmental factors was considered in an integrated energy system research and demonstrated that the PV electrical energy has economic advantages over thermal energy [14]. The qualitative assessment of externalities is also a common point in recent studies [15], not the quantitative ones.…”

Section: Introductionmentioning

confidence: 99%

Integrated analysis of photovoltaic system externalities in Brazil: public health expenditures, energy quality, architectural aspects and real estate value

Castro

Filho

Toledo

et al. 2022

Renew. Energy Environ. Sustain.

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Photovoltaic solar energy systems is a renewable source that has raised great worldwide interest in recent decades. However, in Brazil still, the cost of photovoltaic (PV) systems is still high, and the current public policies are incipient. From 2014 to 2019, an average growth of 203% per year was observed in the installed PV power systems in Brazil. Such performance can also be justified by a greater understanding of externalities, i.e., external positive and negative impacts inherent to the generation of electric energy. The objective is to understand the economic effects of photovoltaic externalities from different perspectives. The following externalities were studied: air pollution; energy quality; construction element; thermal load and real estate valuation, and all of them were analyzed for the Brazilian scenario. The results indicated that the externality of air pollution, which has impacts on health, estimated from the society perspective, could be worth, at least, 4.12% of the price of the energy generated by PV systems. The losses avoided and the voltage profile, energy quality parameters, may account to 12.61% of the electricity price for utilities, and from the consumer perspective, the externality real estate value may be around 79.44% of the price of the electricity generated by photovoltaic systems. The results of this study indicate that the externalities were, for the most part, positive for PV electric energy generating systems. Thus, considering externalities, it is intended to further understand their relationship with the expansion of the distributed generation of electric energy with PV systems in Brazil.

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Capacity planning and optimization for integrated energy system in industrial park considering environmental externalities

Cited by 45 publications

References 16 publications

Energy hub‐based configuration optimization method of integrated energy system

Energy hub‐based configuration optimization method of integrated energy system

Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

Integrated analysis of photovoltaic system externalities in Brazil: public health expenditures, energy quality, architectural aspects and real estate value

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