Suitability assessment of building energy saving technologies for office buildings in cold areas of China based on an assessment framework

Geng, Geng; Wang, Zhaoxia; Zhao, Jing; Zhu, Neng

doi:10.1016/j.enconman.2015.06.087

Cited by 21 publications

(6 citation statements)

References 52 publications

(14 reference statements)

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“…There are several BEE technologies concerned with the building envelope, such as heating, ventilation, and air-conditioning (HVAC) systems, lighting, renewable energy, etc., which are capable of improving the energy efficiency of the building [8,[14][15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions

Cristino

Lotufo

Delinchant

et al. 2021

Renewable and Sustainable Energy Reviews

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Section: Introductionmentioning

confidence: 99%

A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions

Cristino

Lotufo

Delinchant

et al. 2021

Renewable and Sustainable Energy Reviews

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“…MPC for the HVAC control here, does not appear to provide acceptable solutions as we observe no significant reduction of energy consumption. This implies that direct application of one type of solutions, successful in some cases, is not a valuable strategy as the specific characteristics of buildings must be assessed and solutions adapated; this conclusion is in line with recent work putting forth the need for suitability assessment [43]. Further, contextual factors influence the investment strategy for building or house management [44].…”

Section: Discussionmentioning

confidence: 64%

Model predictive control of indoor microclimate: Existing building stock comfort improvement

Ryzhov

Ouerdane

Gryazina

et al. 2019

Energy Conversion and Management

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Home retrofitting provides a means to improve the basic energy and comfort characteristics of a building stock, which cannot be renewed because of prohibitive costs. We analyze how model predictive control (MPC) applied to indoor microclimate control can provide energy-efficient solutions to the problem of occupants' comfort in a variety of situations principally imposed by external weather and room occupancy. For this purpose we define an objective function for the energy consumption, and we consider two illustrative cases: one building designed and built in recent times with modern HVAC equipment, and one designed and built several decades ago with poor thermal characteristics and no dedicated ventilation system. Our model includes various physical effects such as air infiltration and indoor thermal "inertia mass" (inner walls, floor, ceiling, and furniture), and also accounts for the impact of human presence essentially as heat and CO 2 sources. The influence on the numerical results of forecast horizons and of uncertainties due to inaccuracies in the weather and room occupancy forecasts, are analyzed. As we solve non-convex optimization problems using a linear and a nonlinear optimizer, full MPC performance is compared to both linearized MPC and a standard on/off controller. The main advantage of MPC is its ability to provide satisfactory solutions for microclimate control at

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“…It is fairly difficult to estimate the performance of PEEEMs with various designs in different climate conditions [9][10][11]. Related to the effect evaluation of these PEEEMs, many scholars have made their points.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis

Wang

Zhao

2018

Sustainability

Self Cite

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With the growing desire for new buildings and better indoor comfort, the amount of energy consumption of office buildings in China is increasing rapidly, which will lead to the great challenge for energy supply and sustainable development. Building passive envelop energy efficient measures (PEEEMs), mainly including exterior wall insulation, roof insulation, different glazing types, and shading system, were widely applied. However, the specific energy efficient performance of PEEEMs was various in different climate conditions that have not been evaluated clearly yet. The priority order of PEEEMs was not recommended in relative standards. The economic benefits cannot be considered synchronously with PEEEMs optimization. This paper modified the sensitivity analysis to fit the building energy efficiency evaluation. By combining the modified method with a simulation tool, the energy efficiency and economic effects of PEEEMs of office buildings in various climate regions can be considered at the same time. Four case buildings in Shenyang, Tianjin, Ningbo, and Shenzhen were proved to reach the energy-saving potentials of 9.44%, 7.75%, 20.87%, and 13.27% respectively, with the payback period of no more than 1.5 years. Finally, the recommended application priority rankings and the recommended ranges of thermal performance properties of PEEEMs in the four typical climate regions were presented.

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Suitability assessment of building energy saving technologies for office buildings in cold areas of China based on an assessment framework

Cited by 21 publications

References 52 publications

A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions

A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions

Model predictive control of indoor microclimate: Existing building stock comfort improvement

Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis

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