Multi-objective optimization and exergoeconomic analysis of a combined cooling, heating and power based compressed air energy storage system

Yao, Erren; Wang, Huanran; Wang, Ligang; Xi, Guang

doi:10.1016/j.enconman.2017.01.071

Cited by 175 publications

(28 citation statements)

References 34 publications

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“…The CCHP system optimization problems are always attributed to the multi-objective problem since almost all the investigations consider not only energy savings but also payback time and greenhouse gas emission reduction. The most common optimization algorithms used in CCHP system are genetic algorithm (GA) (Zhang et al, 2018), particle swam optimization algorithm (PSO) (Luo and Fong, 2017a) and differential evolution algorithm (DEA) (Yao et al, 2017). The optimization of system control strategy has a great impact on system operation performance.…”

Section: Control and Optimizationmentioning

confidence: 99%

A review of microgrid energy systems

Gao¹,

Hwang²,

Radermacher³

2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

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Microgrid combined cooling, heating and power energy systems are under intensive investigation owing to expansion of renewable energy generation and development of advanced technologies in distributed energy generation. Multi-generation systems serve as one of the core parts in any microgrid energy systems. This review paper presents the summary of state-of-the-art technologies in these multi-generation systems. The first part introduces the energy structure based on energy sources and the latest renewable energy harvesting technologies for solar, biomass and geothermal energy. In the second part, prime movers, including small-scale ones used in a microgrid energy system, are summarized. The third part shows the expanded microgrid system configurations mainly for desalination. The fourth part describes the control and operation strategies for complex multi-generation systems. In the first three parts, insufficient investigation or research gaps are also pointed out. Overall, this paper systematically summaries recent progress in microgrid multigeneration system, and suggest future researches for designing and optimizing a microgrid energy system.

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Section: Control and Optimizationmentioning

confidence: 99%

A review of microgrid energy systems

Gao¹,

Hwang²,

Radermacher³

2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

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“…Yang et al proposed a DES model based on gas turbine (GT) integrated with solar energy and AA‐CAES, besides the advantages and disadvantages of two different control strategies of AA‐CAES is also studied. Similarly, Yao et al established a CCHP system integrated with AA‐CAES and studied the trade‐off between the thermodynamic and economical performances. Liu et al proposed a concept of three‐step planning, which optimize the power generation scale of the CCHP system while considering the flexibility and stability of the grid.…”

Section: Introductionmentioning

confidence: 99%

Study on the operation strategy for integrated energy system with multiple complementary energy based on developed superstructure model

Zhang

2019

Int J Energy Res

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Summary The energy flow in energy supply system has become further complicated due to the addition of multiple clean primary energy and the integration of energy storage technique, which gives rise to the main challenges for integrated energy system (IES) designing on how the IES coordinates the start and stop or varying load operation of multiple equipment so as to maximize the energy conservation and emission reduction and economic benefits. In this paper, with the integration of multiple primary energy utilization technologies and combination of various energy conversions and storage equipment, a superstructure model of IES with multiple complementary energy is established by the way of gradually decomposing and modeling, taking the optimal annual total cost (ATC), primary energy consumption (PEC), and CO2 emission (CE) as the objective function, which can harmonize the energy supply and demand restrictions and the relations of energy flow in the subsystems of energy production system (EPS), energy conversion system (ECS), and energy storage system (ESS). The scientific installed capacity and optimum operation strategy can be solved by this model, which is applied for the designing of integrated energy supply scheme for one certain park. The result shows that the model is both suitable for the energy supply scheme research and the scientific and rational planning and designing for integrated energy of IES with multiple complementary energy.

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“…Considering that the optimization process usually contains more than one optimization target, several multi-objective optimization strategies have been adopted in energy systems and industrial processes. A novel combined cooling, heating and power (CCHP) based compressed air energy storage system is proposed in [19], in which the evolutionary multi-objective algorithm is used to optimize the overall exergy efficiency and the total specific cost of product of the novel CCHP system. In [20,21] they propose multi-objective energy benchmarks based on the energy consumption forecast and integrated assessment.…”

Section: Introductionmentioning

confidence: 99%

Receding Horizon Optimization of Wind Farm Active Power Distribution with Power Tracking Error and Transmission Loss

et al. 2018

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In this paper, a receding-horizon optimization strategy is introduced to optimize the wind farm active power distribution with power tracking error and transmission loss. Based on the wind farm transmission connections, a wind farm can be divided into clusters, in which the wind turbine generator systems connected to one booster station can be taken as one cluster, and different clusters connected from booster stations to the farm-level main transformer output the electric power to the grid. Thus, in the proposed strategy, the power tracking characteristic of the wind turbine generator system is modeled as a first-order system to quantify the power tracking error during the power tracking dynamic process, where the power transmission losses from wind turbine generator systems to booster stations are also modeled and considered in the optimization. The proposed strategy is applied to distribute the active power set-point within a cluster while the clusters' set-point still follows the conventional strategy of the wind farm. Simulation results show significant improvement for both optimization targets of the proposed strategy.

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Multi-objective optimization and exergoeconomic analysis of a combined cooling, heating and power based compressed air energy storage system

Cited by 175 publications

References 34 publications

A review of microgrid energy systems

A review of microgrid energy systems

Study on the operation strategy for integrated energy system with multiple complementary energy based on developed superstructure model

Receding Horizon Optimization of Wind Farm Active Power Distribution with Power Tracking Error and Transmission Loss

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