Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Model-based optimal start control strategy for multi-chiller plants in commercial buildings

View through CrossRef
Chiller start control is to schedule chillers start-up operation, including how many chillers to be put into operation and when to start these chillers, for cooling down building internal temperature to a desired level before occupying. Chiller optimal start aims to find the most efficient way to schedule the chiller start operation for energy savings. Previous studies on chiller optimal start mainly focus on determining the pre-cooling lead time based only on initial outdoor and indoor temperatures without considering the impact of the recovery ability, i.e. the ability of the chillers to return the indoor air temperature to its set-point value. Different from previous studies, a new optimal start strategy is proposed in this article, which considers both the recovery ability and the cooling load condition as the optimizing variables. The new strategy is model-based and realized in two steps. The first step is to predict the building cooling load using a simplified building model, and identify a feasible set for the operating chiller number. The second step is to estimate the pre-cooling lead time using the simplified building model for each number inside the feasible range identified in the first step, and calculate the corresponding energy consumption. The number and its corresponding pre-cooling lead time which yields the least energy consumption constitute the optimal start operation. Practical application: The proposed strategy, validated through case studies, can be used in practical applications to select the optimal number of operating chillers and determine the associated pre-cooling lead time in order to achieve minimum energy consumption in the pre-cooling period.
Title: Model-based optimal start control strategy for multi-chiller plants in commercial buildings
Description:
Chiller start control is to schedule chillers start-up operation, including how many chillers to be put into operation and when to start these chillers, for cooling down building internal temperature to a desired level before occupying.
Chiller optimal start aims to find the most efficient way to schedule the chiller start operation for energy savings.
Previous studies on chiller optimal start mainly focus on determining the pre-cooling lead time based only on initial outdoor and indoor temperatures without considering the impact of the recovery ability, i.
e.
the ability of the chillers to return the indoor air temperature to its set-point value.
Different from previous studies, a new optimal start strategy is proposed in this article, which considers both the recovery ability and the cooling load condition as the optimizing variables.
The new strategy is model-based and realized in two steps.
The first step is to predict the building cooling load using a simplified building model, and identify a feasible set for the operating chiller number.
The second step is to estimate the pre-cooling lead time using the simplified building model for each number inside the feasible range identified in the first step, and calculate the corresponding energy consumption.
The number and its corresponding pre-cooling lead time which yields the least energy consumption constitute the optimal start operation.
Practical application: The proposed strategy, validated through case studies, can be used in practical applications to select the optimal number of operating chillers and determine the associated pre-cooling lead time in order to achieve minimum energy consumption in the pre-cooling period.

Related Results

ANALISIS KINERJA CHILLER DI GEDUNG SENAYAN CITY
ANALISIS KINERJA CHILLER DI GEDUNG SENAYAN CITY
Abstract. Research conducted in the building Senayan City in June 2016 using qualitative research methods. Standards are used as a benchmark the performance of each chiller u...
Analisis Chiller Dengan Menggunaan R123 Dan R134a Pada Kinerja Pendinginan
Analisis Chiller Dengan Menggunaan R123 Dan R134a Pada Kinerja Pendinginan
AbstrakChiller adalah mesin refrigerasi yang memiliki fungsi utama mendinginkan air pada sisi evaporator, air yang didinginkan selanjutnya didistribusi ke alat penukar kalor (FCU; ...
Nonlinear optimal control for robotic exoskeletons with electropneumatic actuators
Nonlinear optimal control for robotic exoskeletons with electropneumatic actuators
Purpose To provide high torques needed to move a robot’s links, electric actuators are followed by a transmission system with a high transmission rate. For instance, gear ratios of...
Analyzing the efficiency of moderate and deep cooling of air at the inlet of gas turbine in various climatic conditions
Analyzing the efficiency of moderate and deep cooling of air at the inlet of gas turbine in various climatic conditions
The efficiency of deep cooling air at the inlet of gas turbine unite to the temperature of 10 °С by waste heat recovery combined absorption-ejector chiller was analyzed in climatic...
Transforming Chiller Plant Efficiency with SC+BAS: Case Study in a Hong Kong Shopping Mall
Transforming Chiller Plant Efficiency with SC+BAS: Case Study in a Hong Kong Shopping Mall
The imperative for building managers, in the face of high-density urban environments, is to drive the existing chiller plants to greater operational efficiency through the applicat...
Exergetic Analysis for Improving the Operation of Building Mechanical Systems: Results and Recommendations
Exergetic Analysis for Improving the Operation of Building Mechanical Systems: Results and Recommendations
A review of past research reveals that while exergetic analysis has been performed on various building mechanical systems, there has not been extensive efforts in the areas of retr...
Chiller Optimization Using Data Mining Based on Prediction Model, Clustering and Association Rule Mining
Chiller Optimization Using Data Mining Based on Prediction Model, Clustering and Association Rule Mining
The chiller is the major energy consuming HVAC component in a building. Currently, huge chiller data is easy to obtain due to Internet of Things (IoT) technology development. In or...

Back to Top