Heating and cooling energy consumption prediction model for high-rise apartment buildings considering design parameters

Kim, Daeung Danny; Suh, Hye Soo

doi:10.1016/j.esd.2021.01.001

Cited by 42 publications

(19 citation statements)

References 73 publications

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“…The use of various prediction models to estimate energy consumption based on various parameters in building and HVAC system designs could help us to determine the optimum parameters for reducing energy consumption [ 69 , 70 , 71 ]. Meanwhile, new integrated designs that implant programmed control systems are very efficient in developing energy-efficient HVAC systems in buildings [ 33 , 72 , 73 ].…”

Section: Energymentioning

confidence: 99%

Sustainability of Heating, Ventilation and Air-Conditioning (HVAC) Systems in Buildings—An Overview

Asim

Badiei

Mohammad

et al. 2022

IJERPH

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Increasing demand on heating, ventilation, and air-conditioning (HVAC) systems and their importance, as the respiratory system of buildings, in developing and spreading various microbial contaminations and diseases with their huge global energy consumption share have forced researchers, industries, and policymakers to focus on improving the sustainability of HVAC systems. Understanding and considering various parameters related to the sustainability of new and existing HVAC systems as the respiratory system of buildings are vital to providing healthy, energy-efficient, and economical options for various building types. However, the greatest opportunities for improving the sustainability of HVAC systems exist at the design stage of new facilities and the retrofitting of existing equipment. Considering the high available percentage of existing HVAC systems globally reveals the importance of their retrofitting. The attempt has been made to gather all important parameters that affect decision-making to select the optimum HVAC system development considerations among the various opportunities that are available for sustainability improvement.

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Section: Energymentioning

confidence: 99%

Sustainability of Heating, Ventilation and Air-Conditioning (HVAC) Systems in Buildings—An Overview

Asim

Badiei

Mohammad

et al. 2022

IJERPH

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“…The RSM method offers an opportunity for building designers to optimize the design response by using a sequence of designed experiments (DOE) that will determine the relationship between input building parameters and the building design response. This approach has been successfully applied to model building consumption for improved energy efficiency in several studies, including EE retrofit optimization of schools [15], university buildings [16,21], office buildings [17], residential dwellings [18,20], and apartment buildings [19]. A summary of the studies utilizing RSM to predict building energy consumption is shown in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Applying the response surface methodology to predict the energy retrofit performance of the TABULA residential building stock

Kadric

Aganović

Kadrić

et al. 2022

Journal of Building Engineering

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“…The transformation of heating systems based on energy management contracts has the advantage of gaining a win-win situation for cooperative enterprises [11][12][13][14][15][16][17]. To facilitate the calculation of the energy-saving space of heating systems in special environment, Shen et al [18] constructed an analysis model of system energy consumption and indicator diagnosis that comprehensively considered the differences among regions and heat supply types, and gave a detailed introduction to the analysis methods of energy consumption indicators of heating systems such as horizontal and vertical comparison analysis methods.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Analysis and Comprehensive Energy Efficiency Evaluation of Campus Central Heating System Based on Heat Supply Monitoring Platform

Liu¹

2021

IJHT

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The energy conservation of campus buildings is the most direct and effective means to promote the sustainable development of colleges and universities. Using the heat data collected by heat supply monitoring platform to perform real-time energy consumption analysis and heating energy efficiency evaluation is a prerequisite for realizing automatic heat supply control based on energy conservation and heating demand. This paper studied the energy conservation analysis and comprehensive energy efficiency evaluation of campus central heating system based on the heat supply monitoring platform. At first, the paper elaborated on the energy consumption analysis method of the campus central heating system based on the heat supply monitoring platform; then, it gave the energy balance equation and the exergy balance equation; after that, based on a few parameters such as the EHR (electricity to heat ratio), heating index, and water makeup rate, this paper evaluated the energy efficiency of the campus central heating system, and experimental results verified the effectiveness of the analysis and evaluation methods.

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Heating and cooling energy consumption prediction model for high-rise apartment buildings considering design parameters

Cited by 42 publications

References 73 publications

Sustainability of Heating, Ventilation and Air-Conditioning (HVAC) Systems in Buildings—An Overview

Sustainability of Heating, Ventilation and Air-Conditioning (HVAC) Systems in Buildings—An Overview

Applying the response surface methodology to predict the energy retrofit performance of the TABULA residential building stock

Energy Consumption Analysis and Comprehensive Energy Efficiency Evaluation of Campus Central Heating System Based on Heat Supply Monitoring Platform

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