Seasonal Operation Strategy Optimization for Integrated Energy Systems with Considering System Cooling Loads Independently

Li, Kecheng; Yan, Haowen; He, Guoqiang; Zhu, Chi; Liu, Kaicheng; Liu, Yuting

doi:10.3390/pr6100202

Cited by 6 publications

(5 citation statements)

References 28 publications

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“…In addition, the costs of photovoltaic and wind turbine power generation are set as 10 and 14 US cents/kWh [33]. Because of the irregular use of nature gas [32], this paper takes time-of-use gas price to optimize system operation cost. The time-of-use gas price is shown in Table 2.…”

Section: Case Studymentioning

confidence: 99%

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

Shi

Gong

et al. 2019

Processes

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With the rapid development of smart community technologies, how to improve user comfort levels and make full use of renewable energy have become urgent problems. This paper proposes an optimization algorithm to minimize daily energy costs while considering user comfort level and renewable energy consumption rate. In this paper, the structure of a typical smart community and the output models of all components installed in the community are introduced first. Then, the characteristics of different types of loads are analyzed, followed by defining the coefficients of user comfort level. In this step, the influence of load-scheduling on user comfort level and the renewable energy consumption rate is emphasized. Finally, based on the time-of-use gas price, this paper optimizes the daily energy costs for an off-grid community under the constraints of the comfort level and renewable energy consumption rate. Results show that scheduling transferable loads and interruptible loads are not independent to each other, and improving user comfort level requires spending more money as compensation. Moreover, fully consuming renewable energy has side effects on energy bills and battery lifetime. It is more conducive to system economy and stability if the maximum renewable energy consumption rate is restricted to 95%.

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Section: Case Studymentioning

confidence: 99%

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

Shi

Gong

et al. 2019

Processes

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“…Despite continuous research on the optimization problem of water networks, most of the above-mentioned research assumed single-mode operations when designing the integration networks. In practice, however, certain industrial plants may undergo multiperiod operations depending on the circumstances encountered. , On the other hand, the efficient utilization of available resources was suggested by several researchers in addressing multiperiod operations in the water networks of an EIP. Liao et al synthesized a multiperiod water network considering seasonal variations of plant production rates to enhance the flexibility of the water networks.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of a Multiperiod C–H–O Symbiosis Network for the Potential Valorization of Glycerol to PHA Production

Goh

Farouk

Lee

et al. 2022

Ind. Eng. Chem. Res.

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The synthesis of the carbon–hydrogen–oxygen symbiosis network (CHOSYN) provides a structured framework for dealing with multiscale integration of hydrocarbon processing industries to improve resource efficiency and reduce waste generation. However, the earlier CHOSYN design approaches presumed that the networks operate in a single mode throughout the year. This may not be the case in real-world situations where the production of certain plants such as polyhydroxyalkanoates (PHAs) from bio-based glycerol may require multiple operational modes to accommodate the seasonal variability and availability of raw material. PHAs are biodegradable polymers produced by bacterial fermentation of carbon sources, which are the potential substitutions for petrochemical-based plastics. Hence, this work aims to propose a systematic approach to optimize multiperiod mass integration in the development of a CHOSYN. The central principle of the proposed approach is the incorporation of a storage and dispatch system into the conventional CHOSYN design for the supply of chemical species needed in the network throughout different operational periods. A case study considering glycerol valorization and other chemical plants using the devised CHOSYN model was conducted to evaluate the performance of the proposed design against the conventional CHOSYN in terms of sustainability metrics. The results demonstrate the advantages of the CHOSYN model with a storage and dispatch system by exhibiting a better profitability outcome than the conventional multiperiod CHOSYN through operating cost savings.

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“…PSO models the collaborative behavior of bird clustering or fish swarming. Also, the PSO algorithm has been successfully applied in many fields, such as medical data classification [31], operation strategy optimization in integrated energy systems [32], operation optimization [33], and fault diagnosis in power transformers [34]. Moreover, PSO was combined with Monte Carlo simulations to improve the outcomes of maintenance planning for aircraft maintenance optimization [35].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Selection of Maintenance Policies in an Electrical Gas Turbine Generator Based on the Hybrid Reliability-Centered Maintenance (RCM) Model

et al. 2020

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The electrical generation industry is looking for techniques to precisely determine the proper maintenance policy and schedule of their assets. Reliability-centered maintenance (RCM) is a methodology for choosing what maintenance activities have to be performed to keep the asset working within its designed function. Current developments in RCM models are struggling to solve the drawbacks of traditional RCM with regards to optimization and strategy selection; for instance, traditional RCM handles each failure mode individually with a simple yes or no safety question in which question has the possibility of major error and missing the effect of a combinational failure mode. Hence, in the present study, a hybrid RCM model was proposed to fill these gaps and find the optimal maintenance policies and scheduling by a combination of hybrid linguistic-failure mode and effect analysis (HL-FMEA), the co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm, an analytic network process (ANP), and developed maintenance decision tree (DMDT). To demonstrate the effectiveness and efficiencies of the proposed RCM model, a case study on the maintenance of an electrical generator was conducted at a Yemeni oil and gas processing plant. The results confirm that, compared with previous studies, the proposed model gave the optimal maintenance policies and scheduling for the electrical generator in a well-structured plan, economically and effectively.

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Seasonal Operation Strategy Optimization for Integrated Energy Systems with Considering System Cooling Loads Independently

Cited by 6 publications

References 28 publications

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

Synthesis of a Multiperiod C–H–O Symbiosis Network for the Potential Valorization of Glycerol to PHA Production

Optimization and Selection of Maintenance Policies in an Electrical Gas Turbine Generator Based on the Hybrid Reliability-Centered Maintenance (RCM) Model

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