Optimal configuration of modular cogeneration plants integrated by a battery energy storage system providing peak shaving service

Gimelli, Alfredo; Mottola, Fabio; Muccillo, Massimiliano; Proto, Daniela; Amoresano, Amedeo; Andreotti, Amedeo; Langella, Giuseppe

doi:10.1016/j.apenergy.2019.03.084

Cited by 57 publications

(20 citation statements)

References 48 publications

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“…1 and based on the vector optimization approach, was adopted to calibrate the physicsbased friction model of engine crank mechanism. The proposed model calibration process [21][22][23] involves the use of a limited number of experimental data.…”

Section: The Proposed Model Calibration Methodologymentioning

confidence: 99%

Crank Mechanism Friction Modeling for Control-Oriented Applications

Brancati

Muccillo

Tufano

2020

Mechanisms and Machine Science

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Purpose of the study is to improve the base calibration process of engine Electronic Control Unit (ECU) through the use of 0D-1D CFD engine models coupled to a physics-based model of the engine frictions. Once reliably calibrated, the overall engine model can be used to reduce the experimental effort of the base calibration process. In this paper a specific methodology based on the vector optimization approach is also proposed in order to reliably calibrate the numerical friction model. This methodology was applied to an engine crank mechanism model adopting specific friction sub models, generated using a multibody approach. The vector optimization problem was solved using experimental engine friction data measured in 13 operating conditions: the comparison between numerical results and experimental data highlights how the proposed modelling approach can be effectively adopted to simulate the friction losses, since the average error is about 5%. Therefore, coupling reliably calibrated friction models to 0D-1D CFD engine models could be useful to improve the estimation of the main engine quantities to be used in the base calibration process.

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Section: The Proposed Model Calibration Methodologymentioning

confidence: 99%

Crank Mechanism Friction Modeling for Control-Oriented Applications

Brancati

Muccillo

Tufano

2020

Mechanisms and Machine Science

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“…It also investigates the impact of a changeable practical CHP operating mode. Paper [9] introduces an optimal configuration of CHP plants with a battery energy storage to provide peak shaving service. It optimally maximises the primary energy savings while minimising the payback for both CHP and storage system.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal CHP Planning in Integrated Energy Systems Considering Network Charges

Wang

Zhang

et al. 2020

IEEE Systems Journal

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This paper proposes a novel optimal planning model for combined heat and power (CHP) in multiple energy systems of natural gas and electricity to benefit both networks by deferring investment for network owners and reducing use-of-system (UoS) charge for network users. The new planning model considers the technical constraints of both electricity and natural gas systems. A two-stage planning approach is proposed to determine the optimal site and size of CHPs. In the first stage, a long-run incremental cost (LRIC) matrix is designed to reflect CHP locational impact on both natural gas and electxaricity network investment, used as a criterion to choose the optimal location. In the second stage, CHP size is determined by solving an integrated optimal model with the objective to minimize total incremental network investment costs. The proposed method is resolved by the interior-point method and implemented on a practically integrated electricity and natural gas systems. Two case studies are conducted to test the performance for single and multiple CHPs cases. This work can enable costefficient CHP planning to benefit integrated natural gas and electricity networks and network users in terms of reduced network investment cost and consequently reduced UoS charges.

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“…The authors of [20] described the role of electrical energy storage in an energy system dominated by distributed generation as well as possible modes of deployment of energy storage solutions in an industrial setting. In integrated energy systems, ESS may be used to enhance the potential energy and cost savings provided by combined heat and power (CHP) generation, if properly sized and operated [21]. In [22], authors proposed the optimal configuration of ESS in integrated energy system, taking into account reducing wind curtailment, price arbitrage, peak demand shaving and coordinated operation with CHP.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response

Wang

Liang

et al. 2021

Applied Sciences

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In this paper, a model is proposed for the optimal operation of multi-energy microgrids (MEMGs) in the presence of solar photovoltaics (PV), heterogeneous energy storage (HES) and integrated demand response (IDR), considering technical and economic ties among the resources. Uncertainty of solar power as well as the flexibility of electrical, cooling and heat load demand are taken into account. A p-efficient point method is applied to compute PV power at different confidence levels based on historical data. This method converts the uncertain PV energy from stochastic to deterministic to be included in the optimization model. The concept of demand response is extended and mathematically modeled using a linear function based on the quantized flexibility interval of multi-energy load demand. As a result, the overall model is formulated as a mixed-integer linear program, which can be effectively solved by the commercial solvers. The proposed model is implemented on two typical summer and winter days for various cases. Results of case studies show the important benefits for maximum PV utilization, energy efficiency and economic system operation. Moreover, the influence of the different confidence levels of PV power and effectiveness of IDR in the stochastic circumstances are addressed in the optimization-based operation.

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Optimal configuration of modular cogeneration plants integrated by a battery energy storage system providing peak shaving service

Cited by 57 publications

References 48 publications

Crank Mechanism Friction Modeling for Control-Oriented Applications

Crank Mechanism Friction Modeling for Control-Oriented Applications

Optimal CHP Planning in Integrated Energy Systems Considering Network Charges

Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response

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