Control strategies for indoor environment quality and energy efficiency—a review

Song, Yang; Wu, Shenyi; Yan, Yuying

doi:10.1093/ijlct/ctt051

Cited by 34 publications

(20 citation statements)

References 50 publications

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“…As Song et al [16] reported, for designing adaptive control strategies, a model of the system is necessary. As a result of adaptive controller's ability to self-regulate, they are applied in several types of buildings in different climate conditions.…”

Section: Adaptive Controlmentioning

confidence: 99%

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Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

et al. 2018

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Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming devices in buildings. Nowadays, due to the high demand for HVAC system installation in buildings, designing an effective controller in order to decrease the energy consumption of the devices while meeting the thermal comfort demands in buildings are the most important goals of control designers. The purpose of this article is to investigate the different control methods for Heating, Ventilating, and Air Conditioning and Refrigeration (HVAC & R) systems. The advantages and disadvantages of each control method are discussed and finally the Fuzzy Cognitive Map (FCM) method is introduced as a new strategy for HVAC systems. The FCM method is an intelligent and advanced control technique to address the nonlinearity, Multiple-Input and Multiple-Output (MIMO), complexity and coupling effect features of the systems. The significance of this method and improvements by this method are compared with other methods.

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Section: Adaptive Controlmentioning

confidence: 99%

“…The training of the ANN is achieved by the weight coefficient regulation to minimize the cost function. The ANN-based controllers do not need an identification model of the system [16].…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

et al. 2018

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“…Furthermore, the complexities of monitoring and instantaneously responding to continuous changes in the building occupancy as well as more demanding external environmental factors such as daily weather patterns or the rapidly fluctuating levels of incident solar radiation are especially challenging. [6][7][8] Indeed, due to their aesthetic appeal, most buildings and vehicles (including the need for effective vision) are designed with a natural abundance of windows which can magnify the issue of interior climate control due to direct transmission of solar radiation. To ameliorate much of the negative impact, composite functional thin films can be used to coat the glass surfaces acting to block incident 'heating' ultraviolet (UV) and infrared radiation (IR) bands but still allow visible light through.…”

Section: Introductionmentioning

confidence: 99%

The Design and Preparation of Transparent Hybrid Composite Thin Films with Excellent Optical Properties and Improved Thermal Insulation by Optimized Combination of Nanomaterials

Baxendale

et al. 2019

Journal of Elec Materi

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For a single nano-optical material, it is difficult to possess high transmittance and adequately filter ultraviolet (UV) and infrared radiation (IR) simultaneously. Consequently, hybrid nano-optical materials comprising components of appropriate proportions for superimposing serviceable optical property are required. The design, optimization and processing of new composite blends with an aim to creating defect free thin films is far from a trivial endeavor. In this report, optimum composition and optical properties of hybrid nano-optical material has been determined and improved by crossover matching experiments and ball milling, respectively. Film preparation has been optimized to reduce defects expressed as cracks, tiny bubbles, strips, groove points, corrugation, and formation of acicular fibers by regulating proportion of polyvinyl butyral colloid and dry film processes. Two ameliorative processing conditions are exemplified where the resultant composite films possessed 86% maximum transmittance in the visible range and 90% and 50% blocking rate with respect to the IR and UV bands.

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“…in garages) one sensor should cover an area of 900 m 2 [8]. Based on the survey results [11][12][13], a mathematical model of the place to be ventilated in the ship is required. It is difficult to obtain an analytical model, so artificial intelligence model is appropriate.…”

Section: Introductionmentioning

confidence: 99%

Neural Network Model of carbon monoxide distribution in onboard a RO-RO Ship Garage

Elserafi¹,

Agamy

Mosleh³

et al. 2019

Port-Said Engineering Research Journal

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Exhaust emissions in the closed vehicle garage onboard ships not sufficiently ventilated can cause damage to human health and lead even to death and pollution. In this paper, an intelligent artificial neural network model is designed to simulate the carbon monoxide concentration in order to be used to manage the concentration limits in the permissible range. The proposed model is identified based on data collected from real measurements at different load conditions and positions on a Roll-on/Roll-off (RO-RO) vehicle garage onboard a ship vessel. The neural network model is designed, identified and verified to cover all possible operating conditions at different loading and distribution of cars.

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Control strategies for indoor environment quality and energy efficiency—a review

Cited by 34 publications

References 50 publications

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

The Design and Preparation of Transparent Hybrid Composite Thin Films with Excellent Optical Properties and Improved Thermal Insulation by Optimized Combination of Nanomaterials

Neural Network Model of carbon monoxide distribution in onboard a RO-RO Ship Garage

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