Real-time optimization of a chilled water plant with parallel chillers based on extremum seeking control

Mu, Baojie; Li, Yaoyu; House, John M.; Salsbury, Timothy I.

doi:10.1016/j.apenergy.2017.09.072

Cited by 59 publications

(14 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ESC has a long history [4] [16] [17] and has been applied to a wide range of engineering applications such as handling thermoacoustic instability [18], biorectors [19] and cam timing [1] [20]. Recent areas of interest for ESC have been maximum power point tracking in photovoltaic cells [21] [22], parallel optimization of chillers [23], wind power optimization [24] and control of type 1 diabetes [25].…”

Section: Introductionmentioning

confidence: 99%

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Premaratne

Halgamuge

Tan

et al. 2020

IEEE Trans. Control Netw. Syst.

View full text Add to dashboard Cite

Extremum Seeking Control (ESC) is a data-driven optimization technique that can steer a dynamic plant towards an extremum of an unknown but measurable, input to steadystate map. In the context of Networked Control Systems (NCS) a new implementation method for ESC inspired by the well known Luus-Jaakola algorithm is proposed. The main motivation is to minimize the communication burden associated with the search phase of ESC. In the proposed method the controller only requires a notification of a change registered at the sensor, rather than the full information available at the sensor. This event based approach leads to sporadic packet transmission. In addition the proposed method is able to directly account for constraints whilst seeking for the desired extremum. The constraints may be of the inequality or equality type. The algorithm's behavior is illustrated on a networked water pump control system.

show abstract

Section: Introductionmentioning

confidence: 99%

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Premaratne

Halgamuge

Tan

et al. 2020

IEEE Trans. Control Netw. Syst.

View full text Add to dashboard Cite

show abstract

“…This solution is applied in systems with direct heat transfer of the cooled air (condensing chillers), as well as in systems comprising intermediate liquid (refrigerant aggregates) [1]. In practice, various types of compressor units are used, in which the heat of condensation can be transmitted to the environment or applied for generation of useful energy [3].…”

Section: Introductionmentioning

confidence: 99%

Sposób Wyznaczenie Współczynnika Cop Dla Układu Chłodniczego

Rząsa

Pochwała

Szymaniec

2020

IAPGOS

View full text Add to dashboard Cite

Podstawowym problemem metrologicznym, który autorzy pragną przedstawić jest eksperymentalne wyznaczenie współczynnika COP dla układu chłodniczego, pracującego w stacjonarnej komorze chłodniczej. Zagadnienie to jest istotne, ponieważ producenci agregatów chłodniczych najczęściej podają współczynnik COP dla agregatu chłodniczego. W praktyce po zamontowaniu agregatu chłodniczego w komorze chłodniczej współczynnik COP jest niejednokrotnie niższy. Trudność z wyznaczeniem współczynnika COP w układzie chłodniczym polega na koniczności zbilansowania mocy chłodniczej dla całego układu wraz z komorą chłodniczą. W pracy przedstawiono sposób bilansowania energii chłodniczej dla kompletnego układu chłodniczego oraz opisano budowę stanowiska do wyznaczania współczynnika COP.

show abstract

“…Rule-based controls show a good performance for specific systems under normal conditions [5]. Changes in boundary conditions lead to nonlinear behavior of equipment, and equipment degradation can shift the optimum operating set-points and control of a plant over its life cycle [6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cooling Utility System with Continuous Self-Learning Performance Models

et al. 2019

View full text Add to dashboard Cite

Prerequisite for an efficient cooling energy system is the knowledge and optimal combination of different operating conditions of individual compression and free cooling chillers. The performance of cooling systems depends on their part-load performance and their condensing temperature, which are often not continuously measured. Recorded energy data remain unused, and manufacturers’ data differ from the real performance. For this purpose, manufacturer and real data are combined and continuously adapted to form part-load chiller models. This study applied a predictive optimization algorithm to calculate the optimal operating conditions of multiple chillers. A sprinkler tank offers the opportunity to store cold-water for later utilization. This potential is used to show the load shifting potential of the cooling system by using a variable electricity price as an input variable to the optimization. The set points from the optimization have been continuously adjusted throughout a dynamic simulation. A case study of a plastic processing company evaluates different scenarios against the status quo. Applying an optimal chiller sequencing and charging strategy of a sprinkler tank leads to electrical energy savings of up to 43%. Purchasing electricity on the EPEX SPOT market leads to additional costs savings of up to 17%. The total energy savings highly depend on the weather conditions and the prediction horizon.

show abstract

Real-time optimization of a chilled water plant with parallel chillers based on extremum seeking control

Cited by 59 publications

References 25 publications

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Sposób Wyznaczenie Współczynnika Cop Dla Układu Chłodniczego

Optimization of Cooling Utility System with Continuous Self-Learning Performance Models

Contact Info

Product

Resources

About