scholarly journals Model Predictive Control with Adaptive Building Model for Heating Using the Hybrid Air-Conditioning System in a Railway Station

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1996
Author(s):  
Ruixin Lv ◽  
Zhongyuan Yuan ◽  
Bo Lei ◽  
Jiacheng Zheng ◽  
Xiujing Luo
Keyword(s):  
Energy Consumption ◽  
Model Predictive Control ◽  
Thermal Comfort ◽  
Predictive Control ◽  
Pid Control ◽  
Air Conditioning ◽  
Adaptive Model ◽  
Air Conditioning System ◽  
Building Model ◽  
Indoor Thermal Comfort

A model predictive control (MPC) system with an adaptive building model based on thermal-electrical analogy for the hybrid air conditioning system using the radiant floor and all-air system for heating is proposed in this paper to solve the heating supply control difficulties of the railway station on Tibetan Plateau. The MPC controller applies an off-line method of updating the building model to improve the accuracy of predicting indoor conditions. The control performance of the adaptive MPC is compared with the proportional-integral-derivative (PID) control, as well as an MPC without adaptive model through simulation constructed based on a TRNSYS-MATLAB co-simulation testbed. The results show that the implementation of the adaptive MPC can improve indoor thermal comfort and reduce 22.2% energy consumption compared to the PID control. Compared to the MPC without adaptive model, the adaptive MPC achieves fewer violations of constraints and reduces energy consumption by 11.5% through periodic model updating. This study focuses on the design of a control system to maintain indoor thermal comfort and improve system efficiency. The proposed method could also be applied in other public buildings.

ENERGY EFFICIENCY OF A VARIABLE SPEED OF THE CENTRALIZED AIR CONDITIONING SYSTEM USING PID CONTROLLER

2016 ◽  
Vol 78 (8-4) ◽  
Author(s):  
Henry Nasution ◽  
Afiq Aiman Dahlan ◽  
Azhar Abdul Aziz ◽  
Ulul Azmi ◽  
Sumeru Sumeru ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Pid Control ◽  
Pid Controller ◽  
Heat Load ◽  
Air Conditioning ◽  
Internal Heat ◽  
Variable Speed ◽  
Air Conditioning System ◽  
Low Energy Consumption

PID control system for air-conditioning system in residence is presented in this manuscript. The control strategy is focused on low energy consumption and thermal comfort for indoor user. The algorithm is developed to control the compressor speed at an appropriate speed according to the temperature inside the controlled area using PID controller. Software is developed to measure and interface the system with controlling the system according to the algorithm. The temperature settings are 20, 22 and 24oC with internal heat load of 0 and 1000 Watt. The results obtained proved that the technique can lower the energy consumption and increased temperature control for better thermal comfort compared to on/off controller

Effect of Air Conditioning Position on Thermal Comfort in the Floor Air Conditioning System

2014 ◽  
Vol 493 ◽  
pp. 74-79
Author(s):  
Y.A. Sabtalistia ◽  
S.N.N. Ekasiwi ◽  
B. Iskandriawan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Energy Consumption ◽  
Thermal Comfort ◽  
Energy Efficient ◽  
Air Conditioning ◽  
Air Conditioning System ◽  
Air Supply ◽  
Air Conditioning Systems ◽  
Air Diffusion

Energy consumption for air conditioning systems (air conditioning system) increased along with the increasing need for fresh air and comfortable in the room especially apartments. FAC system (Floor Air Conditioning) is growing because it is more energy efficient than CAC (Ceiling Air Conditioning) system. However, the position of the AC supply is on the lower level at the FAC system causes draft discomfort becomes greater as air supply closer to the occupants so that thermal comfort can be reduced. Heat mixture of windows, exterior walls, kitchen, and occupants in the studio apartment affect thermal comfort in the room too.This study aims to determine the position of the AC supply which has the best thermal comfort of FAC system in the studio apartment. It can be done by analyzing ADPI (Air Diffusion Performance Index), the distribution of air temperature, wind speed, RH (Relative Humidity), and DR (Draft Risk) to change the position of the AC supply supported by CFD (Computational Fluid Dynamics) simulation.This result prove that AC position 2 (on wall near the kitchen) is more comfortable than AC position 1 (on the bathroom wall) because AC position 2 away from occupied areas, thereby reducing the occurrence of draught discomfort.

scholarly journals Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19

2021 ◽  
Author(s):  
Danial Mohammadi ◽  
Simin Nasrabadi
Keyword(s):  
Thermal Stress ◽  
Energy Consumption ◽  
Thermal Comfort ◽  
Air Conditioning ◽  
Thermal Condition ◽  
R Software ◽  
Air Conditioning System ◽  
Thermal Index ◽  
Predicted Mean Vote ◽  
Hot Climate

Background: One way to achieve a standard heating, ventilating, and air conditioning system with maximum satisfaction is to use a thermal index to identify and determine the thermal comfort of people. In this study we intend to evaluate thermal comfort based on PMV-PPD (Predicted Mean Vote/Predicted Percentage Dissatisfied) model in workers of screening center for COVID-19. Methods: The study period was from March 1 to October 31, 2020. In this study, we used the ISO 7730 model to determinate PMV-PPD index. PMV index was used to determine thermal comfort at different scales in Birjand city with arid and hot climate. All data were analyzed using R software (version 3.3.0) and IBM SPSS statistics softwares. Results: The maximum and minimum recorded physical PMV values in the study period were observed in June as (2.09 ± 0.03) and March as (-1.27 ± 0.14), respectively. The amplitude of the thermal sense in the study period was varied between slightly cool (-1.5) and warm (+2.5). The PPD in spring was 40% which indicated slightly warm to hot condition. Conclusions: The October was the only month during the study in which thermal stress was in comfort or neutral thermal condition.  Our results suggest that thermal comfort has dimensions and indices which are helpful in managing energy consumption.

scholarly journals Economic Multiple Model Predictive Control for HVAC Systems - A Case Study for a Food Manufacturer in Germany

2018 ◽  
Author(s):  
Tobias Heidrich ◽  
Jonathan Grobe ◽  
Henning Meschede ◽  
Jens Hesselbach
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Air Conditioning ◽  
Variable Temperature ◽  
Conveyor Belt ◽  
Electricity Price ◽  
Multiple Model ◽  
Air Conditioning System ◽  
Discrete State ◽  
Temperature And Humidity

The following paper describes an economical, multiple model predictive control (EMMPC) for an air conditioning system of a confectionery manufacturer in Germany. The application consists of a packaging hall for chocolate bars, in which a new local conveyor belt air conditioning system is used and thus the temperature and humidity limits in the hall can be significantly extended. The EMMPC calculates the optimum energy or cost humidity and temperature set points in the hall. For this purpose, time-discrete state space models and an economic objective function with which it is possible to react to flexible electricity prices in a cost-optimised manner are created. A possible future electricity price model for Germany with a flexible EEG levy was used as a flexible electricity price. The flexibility potential is determined by variable temperature and humidity limits in the hall, which are oriented towards the comfort field for easily working persons, and the building mass. The building mass of the created room model is used as a thermal energy store. Considering electricity price and weather forecasts as well as internal, production plan-dependent load forecasts, the model predictive controller directly controls the heating and cooling register and the humidifier of the air conditioning system.

Experimental Investigation of the Indoor Thermal Comfort of the Public Buildings in the Typical Subtropical Climatic Region

2014 ◽  
Vol 525 ◽  
pp. 588-592
Author(s):  
Zhang Yuan Wang ◽  
Xiang Mei Zhang ◽  
Wan Sheng Yang
Keyword(s):  
Surface Temperature ◽  
Thermal Comfort ◽  
Air Conditioning ◽  
Internal Surface ◽  
Climatic Region ◽  
Public Buildings ◽  
Air Conditioning System ◽  
The Public ◽  
Indoor Thermal Comfort ◽  
Control Target

Aim of the paper is to investigate the indoor thermal comfort of the buildings. This work is undertaken by the combination of the literature review and experimental measurement and analyses, on basis of the selected 12 public buildings in Dongguan City (Guangdong Province, China), located at the typical sub-tropic climatic region. It was found that when the air-conditioning system was turned off, the internal surface temperature of the insulation was above a control target of 30°C; when the air-conditioning system was turned on, the internal surface temperature of the insulation was below the control target of 30°C, meeting the requirement of the thermal comfort of human body in summer. These figures will be helpful in the determination of the quantitative control target to improve the indoor thermal comfort in the subtropical areas.

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