Modelica-based modeling and simulation of district cooling systems: A case study

Hinkelman, Kathryn; Wang, Jing; Gautier, Antoine; Wetter, Michael; Fan, Chengliang; Long, Nicholas

doi:10.1016/j.apenergy.2022.118654

Cited by 15 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In practical cold stores, power sensors are rarely available due to their high price. The use of Electrical Specification Documents for electrical performance evaluation when there are no power sensors is recommended by Hinkelman et al [31]. Hence, a constant power factor of 0.9 provided by the motor manufacturer is adopted for calculations.…”

Section: Date Collection and Pre-processingmentioning

confidence: 99%

Techno-Economic Analysis of the Peak Shifting Strategy Based on Time-of-Use Tariff for Cold Stores

Li,

Wang,

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

The energy consumption in the cold store is growing day by day, 70% of which is consumed by the refrigeration system. Meanwhile, a significant amount of electricity generated by power plants is wasted during off-peak periods. Demand-side management (DSM) provides a viable solution for addressing the problem of the time and space inconsistency between energy supply and consumption, hence improving overall system efficiency. In this paper, an artificial intelligence model is developed for accurate cooling load forecasting. On this basis, a peak shifting control strategy with two optional modes combining temperature setpoint control and operation mode control is then proposed to realize cost reductions. Taking a large-scale cold store as a case study, the cooling capacity supply and temperature variation within two typical working days are investigated to illustrate the feasibility and applicability of the strategy. Detailed thermodynamic and thermo-economic analyses of the proposed strategy are then carried out to demonstrate the control effect. The results show that both modes have good peaking performances and the average cost reduction rate of the two modes reaches 40% and 13.4%, respectively.

show abstract

Section: Date Collection and Pre-processingmentioning

confidence: 99%

Techno-Economic Analysis of the Peak Shifting Strategy Based on Time-of-Use Tariff for Cold Stores

Li,

Wang,

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Modelica is a system modeling language that is object-oriented, transient, acausal, and hierarchical [5]. The language has been used to examine a range of different systems across fields [6][7][8][9]. The language functions through the development of libraries of component models that can be interchanged and connected as modular units to create fully integrated system models.…”

Section: Modeling Tool Architecture and Solver Introductionmentioning

confidence: 99%

Modeling of Particle Thermal Energy Reservoir for Solar Industrial Process Heat (Final Technical Report)

Ma,

Gifford,

Al-Ghussain

et al. 2023

View full text Add to dashboard Cite

Industrial process heat is a leading source of carbon emissions in the United States. To achieve decarbonization goals and reduce costs, solar industrial process heat (SIPH) systems have been investigated as a means of providing a carbon-free heat supply. Particle thermal energy storage (TES) could supplement solar resources (i.e., concentrating solar thermal and photovoltaics) to enable a high capacity factor (> 90%), carbon-free heat source. Particle TES has been considered due to its low-cost storage medium and capability to support a wide range of temperatures. This report provides technical details of developing a component and system modeling tool for a unique particle TES platform to assist the adoption of SIPH technology.The system modeling platform was developed in the Modelica-based Modelon Impact software. Modelica is base software of modeling language that is acausal and object-oriented. These features of the language are useful in the development of a highly flexible and adaptable tool that are needed to accommodate the wide range of potential industrial process heat applications. A SIPH model with a particle TES modeling library was created that contains new component models that were validated against high-fidelity models and/or industry partner data. After the component model development, integrated system models were built with real-time system controllers that enable transient, annual simulations. These simulations are useful for analyzing system performance, configurations, and operations as well as observing nuanced transients. The system models were wrapped with Python program by exporting a functional mock-up unit. The Python program enables (1) integration of the Modelica-based performance model with other tools (e.g., the SolarPILOT and System Advisor Model financial models) and component cost functions and (2) sensitivity analysis and techno-economic analysis.The cost functions for the SIPH system were developed as part of the techno-economic analysis for this project. This analysis optimally sized the SIPH system for a specific use case and six system design scenarios encompassing various combinations of concentrating solar thermal, photovoltaic, and grid electricity. The analysis investigated possible conditions to achieve a levelized cost of heat that could be competitive to that of natural gas. The project included sensitivity analysis to solar capital costs, average grid prices, and grid backup independence parameters.The technical work explored SIPH configurations and applications to understand design factors and system configurations relevant to particle TES through the development and use of simulation and analysis tools. The modeling tools aim to assist the design of SIPH systems and to assess techno-economic potentials for decarbonizing industrial processes. vii This report is available at no cost from the National Renewable Energy Laboratory at www.nrel.gov/publications.

show abstract

Study on Method of Extraction and Clustering of Model Construction Style

Shen¹,

Zhao²,

Yang³

2022

Communications in Computer and Information Science

View full text Add to dashboard Cite

Modelica-based modeling and simulation of district cooling systems: A case study

Cited by 15 publications

References 42 publications

Techno-Economic Analysis of the Peak Shifting Strategy Based on Time-of-Use Tariff for Cold Stores

Techno-Economic Analysis of the Peak Shifting Strategy Based on Time-of-Use Tariff for Cold Stores

Modeling of Particle Thermal Energy Reservoir for Solar Industrial Process Heat (Final Technical Report)

Study on Method of Extraction and Clustering of Model Construction Style

Contact Info

Product

Resources

About