Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control

Sawant, Parantapa; Bürger, Adrian; Doan, Minh Dang; Felsmann, Clemens; Pfafferott, Jens

doi:10.1016/j.enbuild.2019.109725

Cited by 11 publications

(6 citation statements)

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“…Therefore, it should be preferred to introduce multiple volumes per storage and suitable, smooth approximations for the mass flows between those. According to the method presented by Sawant et al (2019) and introducing a separate control variable ṁrt,lts for the fraction of the mass flow from the RT through the LTS to reduce model nonlinearity, Eq. ( 9) is reformulated for use within f mpc as ṁlts,s (t) = ṁrt,lts (t) + ṁcs (t)…”

Section: Storagesmentioning

confidence: 99%

A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components

et al. 2020

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This work presents a whole-year simulation study on nonlinear mixed-integer Model Predictive Control (MPC) for a complex thermal energy supply system which consists of a heat pump, stratified water storages, free cooling facilities, and a large underground thermal storage. For solution of the arising Mixed-Integer Non-Linear Programs (MINLPs) we apply an existing general and optimalcontrol-suitable decomposition approach. To compensate deviation of forecast inputs from measured disturbances, we introduce a moving horizon estimation step within the MPC strategy. The MPC performance for this study, which consists of more than 50,000 real time suitable MINLP solutions, is compared to an elaborate conventional control strategy for the system. It is shown that MPC can significantly reduce the yearly energy consumption while providing a similar degree of constraint satisfaction, and autonomously identify previously unknown, beneficial operation modes.

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Section: Storagesmentioning

confidence: 99%

A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components

et al. 2020

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“…• Extending the developed optimization formulations towards rolling horizon or Model Predictive Control (MPC) for energy management such as in works of Habib et al (2018); Dongol et al (2018); Sawant et al (2020). This will provide the model library an ability to deal with short term process disturbances and variations in electricity market signals for provision of flexibility; • Extending the market block of the model library to represent new and innovative flexibility products for industrial enterprises and modeling of those in cost functions and performing cost-benefit analyses for industrial enterprises.…”

Section: Discussionmentioning

confidence: 99%

Active participation of industrial enterprises in electricity markets - a generic modeling approach

2021

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Industrial enterprises represent a significant portion of electricity consumers with the potential of providing demand-side energy flexibility from their production processes and on-site energy assets. Methods are needed for the active and profitable participation of such enterprises in the electricity markets especially with variable prices, where the energy flexibility available in their manufacturing, utility and energy systems can be assessed and quantified. This paper presents a generic model library equipped with optimal control for energy flexibility purposes. The components in the model library represent the different technical units of an industrial enterprise on material, media, and energy flow levels with their process constraints. The paper also presents a case study simulation of a steel-powder manufacturing plant using the model library. Its energy flexibility was assessed when the plant procured its electrical energy at fixed and variable electricity prices. In the simulated case study, flexibility use at dynamic prices resulted in a 6% cost reduction compared to a fixed-price scenario, with battery storage and the manufacturing system making the largest contributions to flexibility.

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“…The simulation model Microscale Grid Reactive Decentralized Energy Systems (µGRiDS) is a tool for operational analysis of various building energy systems with a focus on component level interactions for improving the operational efficiency of the plant [24]. The basis of µGRiDS is a grey-box methodology using step-response analysis, regression fits of experimental-and manufacturer's-data, and mass and energy balance implemented in the OpenModelica environment.…”

Section: µGridsmentioning

confidence: 99%

Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis

et al. 2022

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Simulation based studies for operational energy system analysis play a significant role in evaluation of various new age technologies and concepts in the energy grid. Various modelling approaches already exist and in this original paper, four models representing these approaches are compared in two real-world hybrid energy system scenarios. The models, namely TransiEnt, µGRiDS, and OpSim (including pandaprosumer and mosaic) are classified into component-oriented or system-oriented approaches as deduced from the literature research. The methodology section describes their differences under standard conditions and the necessary parameterization for the purpose of creating a framework facilitating a closest possible comparison. A novel methodology for scenario generation is also explained. The results help to quantify primary differences in these approaches that are also identified in literature and qualify the influence of the accuracy of the models for application in a system-wide analysis. It is shown that a simplified model may be sufficient for the system-oriented approach especially when the objective is an optimization-based control or planning. However, from a field level operational point of view, the differences in the time series signify the importance of the component-oriented approaches.

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Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control

Cited by 11 publications

References 50 publications

A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components

A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components

Active participation of industrial enterprises in electricity markets - a generic modeling approach

Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis

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