Chiller Plant Operation Optimization: Energy-Efficient Primary-Only and Primary–Secondary Systems

Zhang, Danxu; Luh, Peter B.; Fan, Junqiang; Gupta, Savita

doi:10.1109/tase.2017.2751605

Cited by 25 publications

(10 citation statements)

References 19 publications

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“…The ElectricEIR model consists of three regression equations that describe the capacity and efficiency under varying operating conditions and the power consumption under partial load conditions. Chillers' power consumption can be calculated from the reference conditions using these equations [71,94,104]. The calibration of this model requires both full-load and partial load operating data.…”

Section: Data-driven Modelsmentioning

confidence: 99%

“…Satisfying the cooling demand is an equality constraint. In practice, the Lagrange multiplier method [62,63,94] or the penalty function method [15,69,71] deals with the equality constraints. The equality constraint can also be expressed as inequality constraints with small deviation since it is difficult to obtain solutions that satisfy equality exactly.…”

Section: Satisfying the Cooling Demandmentioning

confidence: 99%

See 1 more Smart Citation

A review of optimization approaches for controlling water-cooled central cooling systems

Jia

Wei

Liu

2021

Building and Environment

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Section: Data-driven Modelsmentioning

confidence: 99%

Section: Satisfying the Cooling Demandmentioning

confidence: 99%

A review of optimization approaches for controlling water-cooled central cooling systems

Jia

Wei

Liu

2021

Building and Environment

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“…Figure 12 shows the detailed analysis of the central plant operation for two sample windows during FC (Feb. [13][14][15][16][17][18]2018) and MC (Aug. [19][20][21][22][23][24]2018) modes. During FC mode, the plant's overall kW/ton was higher than that during MC mode.…”

Section: Baseline Energy Performancementioning

confidence: 99%

“…It should be noted that there are many similarities between heating and cooling at districtscale [14]. In addition, Modelica-based modeling of other DHC types such as combined heat and power or ambient water networks [7,15,16] and chiller plants in non-DC applications [17,18,19,20,21] are also extensive. However, there is a general lack of publications on DC modeling and simulation [22].…”

Section: Introductionmentioning

confidence: 99%

Modelica-Based Modeling and Simulation of District Cooling Systems: A Case Study

Hinkelman¹,

Wang²,

Gautier³

et al. 2021

Preprint

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While equation-based object-oriented modeling language Modelica can evaluate practical energy improvements for district cooling systems, few have adapted Modelica for this type of large-scale thermo-fluid system. Further, to our best knowledge, district cooling modeling studies have yet to include hydraulics in piping network nor waterside economizers. These are critical details to include when looking to make energy and control improvements in many physical system installations. To fi?ll these gaps, this study applies newly developed open-source models from the Modelica Buildings library. For a real-world case study, we modeled and simulated a district cooling system at a college campus in Colorado, United States, with six buildings connected to a central chiller plant featuring a waterside economizer. Several energy saving strategies are pursued based on the validated model, including control setpoint optimization, equipment modification, and pump setpoint adjustments. Results indicate that optimizing the condenser water supply temperature setpoint can save 2.5% to 4.4% energy; the nonintegrated waterside economizer saves 6.4% energy while cutting down the chillers' run times by 201 days/year, reducing maintenance costs, and extending chiller life; and adjusting the condenser water pump flow settings can save 10.2% energy. Through a combinationof the studied measures, the campus can annually save 84.6 MWh of energy, 8.9% of electricity costs, and 58.0 metric tons of carbon dioxide emissions. Further, the numerical results of simulating districts from tens to hundreds of buildings are presented.

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“…It should be noted that there are many similarities between heating and cooling at district-scale [21]. In addition, Modelica-based modeling of other DHC types such as combined heat and power or ambient water networks [10,22,23] and chiller plants in non-DC applications [24,25,26,27,28] are also extensive. However, there is a general lack of publications on DC modeling and simulation [29], which we address herein through the contribution of new open-source models, a well-structured methodology, and an exemplifying case study.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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Chiller Plant Operation Optimization: Energy-Efficient Primary-Only and Primary–Secondary Systems

Cited by 25 publications

References 19 publications

A review of optimization approaches for controlling water-cooled central cooling systems

A review of optimization approaches for controlling water-cooled central cooling systems

Modelica-Based Modeling and Simulation of District Cooling Systems: A Case Study

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

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