Principles and operation of refrigeration and heat pump systems

Redko, Andriy; Redko, Oleksandr; DiPippo, Ronald

doi:10.1016/b978-0-12-816249-1.00001-7

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…This cooled liquid is then circulated through a heat exchanger or chiller coil, to remove heat from a process or space. Typical chiller applications include air conditioning, process cooling, and refrigeration [24]. Chillers can be powered by electricity, natural gas, or steam, and can be designed for refrigerants such as Freon and ammonia [25].…”

Section: Methodsmentioning

confidence: 99%

Increasing performance of chiller systems in high-rise buildings by load optimization

Arifin,

Fachruroji,

Huda

2024

IJAPE

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Recently, the construction of high-rise buildings has been increasing significantly along with economic growth. Therefore, electricity is also going up due to the energy demand of the building. The air conditioning system is the enormous energy consumption in high buildings. The green building concept has been introduced regarding the energy efficiency of a high-rise building. This study investigated the energy consumption in a high building (47 floors) using the load optimization method for the chiller system. The load optimization was conducted by configuring five chillers systems consisting of integral compressors, cooling towers, and pumps. This study obtained the decreasing energy consumption by the chiller's operation load sequencing based on 24-hour data optimization. Optimized chiller performance satisfied the green building standards. However, load optimization on high buildings is highly recommended as an effective way to achieve green building status. Further research is recommended for implementing such optimization at other facilities, such as industrial plants, hospitals, airports, and manufacturing plants.

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Section: Methodsmentioning

confidence: 99%

Increasing performance of chiller systems in high-rise buildings by load optimization

Arifin,

Fachruroji,

Huda

2024

IJAPE

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“…In the case of heat pumps, the emissions are also dependent on the so-called Coefficient Of Performance (COP), which is a measure of the useful heat delivered in relation to the electric energy input. The higher the COP the less electric energy is required to heat up the room/ house by 1 °C and the less CO2 emissions are generated (dependent on the carbon intensity of the grid) [36]. The coefficient of performance is in turn dependent on the heat source/ sink temperature difference, in the case of air-source heat pumps corresponding to the outdoor air temperature and the temperature of the heat carrier medium (air or water) [36,37], respectively, where the latter of course is affected by the desired indoor temperature.…”

Section: Residential Heatingmentioning

confidence: 99%

“…1.4 (a) Illustration of the working principle of an air-to-water heat pump, extracting heat from the outdoor ambient air as the refrigerant evaporates, in order for the evaporated gas to release this amount of heat to the water-based circulation system, which in turn heats up the building, upon its compression and subsequent condensation, before the cycle starts over when the condensed refrigerant is allowed to expand. (b) Typical variation in COP as a function of outdoor temperature [36,37,40].…”

Section: Residential Heatingmentioning

confidence: 99%

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Khajavizadeh

2023

Linköping Studies in Science and Technology. Dissertations

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“…Competent designers are essential to achieve success with heat pump systems [5]. Among the challenges a heat pump system designer faces are refrigerant selection [6], capacity control, and effective management of interaction with energy reservoirs and peak load units [7]. Additionally, it is critical to select machines with properties tailored to the process energy and temperature demands [8].…”

Section: Introductionmentioning

confidence: 99%

Using Artificial Neural Networks to Gather Intelligence on a Fully Operational Heat Pump System in an Existing Building Cluster

2023

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The use of heat pumps for heating and cooling of buildings is increasing, offering an efficient and eco-friendly thermal energy supply. However, their complexity and system integration require attention to detail, and minor design or operational errors can significantly impact a project’s success. Therefore, it is essential to have a thorough understanding of the system’s intricacies and demands, specifically detailed system knowledge and precise models. In this article, we propose a method using artificial neural networks to develop heat pump models from measured data. The investigation focuses on an operational heat pump plant for heating and cooling a cluster of municipal buildings in Stavanger, Norway. The work showcases that the network configurations can provide process insights and knowledge when detailed system information is unavailable. Model A predicts the heat pump response to temperature setpoint and inlet conditions. Except for some challenges during low-demand cooling mode, the model predicts outlet temperatures with Mean Absolute Percentage Error (MAPE) between 2 and 5% and energy production and consumption with MAPE below 10%. Summarizing the five-minute interval predictions, the model predicts the hourly energy production and consumption with MAPE at 3% or less. Model B predicts energy consumption and coefficient of performance (COP) from measured inlet and outlet conditions with MAPE below 5%. The model may serve as a tool to develop system-specific compressor maps for part-load conditions and for real-time performance monitoring.

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Principles and operation of refrigeration and heat pump systems

Cited by 5 publications

References 1 publication

Increasing performance of chiller systems in high-rise buildings by load optimization

Increasing performance of chiller systems in high-rise buildings by load optimization

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Using Artificial Neural Networks to Gather Intelligence on a Fully Operational Heat Pump System in an Existing Building Cluster

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