The Strategies of Passive Energy-Efficiency Design in Low Energy Building

2013 ◽  
Vol 368-370 ◽  
pp. 1318-1321
Author(s):  
Xin Bin Wang ◽  
Jia Ping Liu ◽  
Yu Fu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Air Conditioning ◽  
Influence Factors ◽  
Building Design ◽  
Building Energy ◽  
Low Energy ◽  
Paper Briefly ◽  
Low Energy Consumption

This paper briefly analyzes the structure and conservation approaches of building energy consumption, analyzes the forming reason and influence factors of heating and air-conditioning energy consumption and proposes the passive energy conservation designing strategies of low energy consumption building. Through the passive methods of building design, envelop enclosure and planning landscape, the goal of last year building low energy conservation can be achieved.

Efficient Concept of Low Energy Building

2005 ◽  
Author(s):  
Mahmoud A. Hassan
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Energy Saving ◽  
Energy Efficient ◽  
Air Conditioning ◽  
Natural Ventilation ◽  
Building Materials ◽  
Building Design ◽  
Building Energy ◽  
Low Energy

Low energy architect is a major target of building researchers and designers worldwide. Obviously, any portion of energy that can be saved in this respect can be directed to industrial processes, if any. Building energy consumption can be reduced through various systems such as air conditioning (a major building energy consumer), lighting, equipment, etc. In regions where energy is limited or scarce, air conditioning would have to be replaced by natural ventilation for the removal of the building heat load for thermal comfort. Also, energy conservation issues are being more important in hot arid regions, especially because the building are consuming more than 60% of electric energy generated and about 65% of this energy is consumed for cooling. There is a set of complex factors, which determine energy needs in building, such as solar radiation, type of A/C systems, building operation, thermal properties of the building envelop... etc. In the present decade the aim is to discuss the advantage of energy efficient building design. There is several ways to reduce the energy consumed for the human comfort process, but what is the most energy efficient or more energy saving from these ways. One of these is the insulation, which can be used for insulating the wall and the roof, which subjected to the large amount of the solar heat gain. The insulation of the roof is intended to maximize resident’s thermal comfort and minimize energy consumption of housing. The parameters, which are effect on the thermal performance of the roof, are the color, general construction, insulation and ventilation. This paper present the effect of insulation of the roof on the amount of energy consumed for different types of insulation in order to select the suitable insulation which give the minimum cost and maximum energy saving. This work was done using an energy software program (Visual DOE). This paper provided suggestions to improve the building construction for the thermal comfort. A parametric analysis was investigated for the economic analysis of various insulating building materials.

Energy Efficiency Assessment Oriented Building Energy Consumption System Model

2013 ◽  
Vol 415 ◽  
pp. 734-740
Author(s):  
Yun Long Ma ◽  
Xiao Hua Chen ◽  
Bo Liu ◽  
Guo Feng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Emission Reduction ◽  
Building Energy ◽  
Efficiency Index ◽  
Assessment System ◽  
Building Energy Consumption ◽  
Building Energy Conservation ◽  
Consumption System

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.

Application of BIM Technology on Energy Efficiency Building Design

2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Design Method ◽  
Building Design ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Analysis Software ◽  
Building Model

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.

scholarly journals Multi-objective Building Design Optimization under Operational Uncertainties Using the NSGA II Algorithm

Buildings ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 88
Author(s):  
Shobhit Chaturvedi ◽  
Elangovan Rajasekar ◽  
Sukumar Natarajan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Design Optimization ◽  
Building Design ◽  
Building Energy ◽  
Global South ◽  
Efficiency Measure ◽  
Nsga Ii ◽  
Multi Objective ◽  
Energy Efficiency Measure

Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint in the Global South. This paper presents the application of a non-dominated sorting genetic (NSGA II) algorithm for multi-objective building design optimization under operational uncertainties. A residential building situated in a mid-latitude steppe and desert region (Köppen climate classification: BSh) in the Global South has been selected for our investigation. The annual building energy consumption and the total number of cooling setpoint unmet hours (h) were assessed over 13,122 different energy efficiency measures. Six Pareto optimal solutions were identified by the NSGA II algorithm. Robustness of Pareto solutions was evaluated by comparing their performance sensitivity over 162 uncertain operational scenarios. The final selection for the most optimal energy efficiency measure was achieved by formulating a robust multi-criteria decision function by incorporating performance, user preference, and reliability criteria. Results from this robust approach were compared with those obtained using a deterministic approach. The most optimal energy efficiency measure resulted in 9.24% lower annual energy consumption and a 45% lower number of cooling setpoint unmet h as compared to the base case.

scholarly journals Evaluating Insulation, Glazing and Airtightness Options for Passivhaus EnerPHit Retrofitting of a Dwelling in China’s Hot Summer–Cold Winter Climate Region

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6950
Author(s):  
Chenfei Liu ◽  
Stephen Sharples ◽  
Haniyeh Mohammadpourkarbasi
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Low Energy ◽  
Cold Winter ◽  
Winter Climate ◽  
Climate Region ◽  
Low Energy Consumption ◽  
Insulation Performance

Passivhaus EnerPHit is a rigorous retrofit energy standard for buildings, based on high thermal insulation and airtightness levels, which aims to significantly reduce building energy consumption during operation. However, extra retrofit materials are required to achieve this standard, which raises a contradiction between how to balance the environmental impacts of the retrofitting material inputs and extremely low energy consumption after retrofit. This motivated the analysis in this paper, which aimed to evaluate the possibilities of reducing the required retrofitting material inputs when trying to achieve the EnerPHit energy standard using a typical suburban dwelling in China’s hot summer–cold winter climate region as a case study. Firstly, how the insulation performance of each envelope component affected the building’s energy consumption was analysed. Based on this, sensitivity simulations of combinations of different insulation levels with different fabric components were investigated under four scenarios of insulation levels, airtightness and glazing choice. The final proposed retrofitting plans achieved the EnerPHit standard with insulation materials’ savings between 18% to 58% compared to a baseline retrofit plan, and this led, in turn, to 3.9 to 12.6 tonnes of carbon reductions. Moreover, an energy-saving of 87% in heating and 70% in cooling was achieved compared with the pre-retrofit dwelling.

scholarly journals A low power data transfer and fusion algorithm for building energy consumption monitoring

2019 ◽  
Vol 14 (3) ◽  
pp. 426-431 ◽  
Author(s):  
Cuimin Li ◽  
Dandan Shen ◽  
Lei Wang
Keyword(s):  
Energy Consumption ◽  
Data Transmission ◽  
Building Energy ◽  
Reduction Factor ◽  
Low Energy ◽  
Small Data ◽  
Building Energy Consumption ◽  
Fusion Algorithm ◽  
Consumption Data ◽  
Low Energy Consumption

Abstract Building Energy Internet of Things could collect and analyse various types of building energy consumption data in real time by means of low-energy consumption and high-precision sensing technology. In this paper, a low-energy consumption data transmission and fusion algorithm SMART-RR (Slice Mix Agg RegaTe-Repeatablibity Reduction) is proposed. Taking advantage of the periodic repeatability and data redundancy of building energy consumption data, a data fusion strategy with unequal long time intervals and adding repeatability reduction factor is proposed. The simulation results show that SMART-RR algorithm is a low-energy data transmission and fusion algorithm with small data traffic, high privacy protection and high accuracy.

Discussion to Energy-Saving Design of the Air-Conditioning System

2013 ◽  
Vol 361-363 ◽  
pp. 444-447
Author(s):  
Qian Wang ◽  
Rui Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Distribution System ◽  
Air Conditioning ◽  
Building Energy ◽  
Design Parameters ◽  
Building Energy Efficiency ◽  
Air Conditioning System ◽  
Transmission And Distribution

Air conditioning energy saving is of great significance for building energy efficiency, reduce air conditioning energy consumption can reduce most of the building energy consumption, achieve the purpose of saving energy. This article analyzed and discussed the choice of indoor design parameters, the choice of cold and heat source and the design of the transmission and distribution system.

Correlation Study on User Satisfaction from Adaptive Behavior and Energy Consumption in Office Buildings

2014 ◽  
Vol 70 (7) ◽  
Author(s):  
Ali Keyvanfar ◽  
Arezou Shafaghat ◽  
Mohd Zaimi Abd Majid ◽  
Hasanuddin Lamit ◽  
Kherun Nita Ali
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Adaptive Behavior ◽  
User Satisfaction ◽  
Building Design ◽  
Building Energy ◽  
Energy Performance ◽  
Assessment Tools ◽  
Sustainable Building ◽  
Building Assessment

Sustainable Building Assessment Tools have not yet measured the association between user satisfaction with adaptive behavior and energy efficiency. The current research aims to rectify this problem by testing the hypothesis that user satisfaction with adaptive behavior affects building energy consumption. To test the hypothesis, the staff’s overall satisfaction with adaptive behavior in response to tenant energy-efficiency features was used as the independent variable, while office unit energy consumption was used as the dependent variable. A set of conceptual variables and measured variables were identified for both the dependent and independent variables. A total of nine possible combinations of measured variables were investigated through a survey fielded in ten office units. The survey analysis determined that the building users are not satisfied with the tenant energy efficiency features and that they may adapt the indoor environment cooling and lighting qualities. An expert input study was conducted to validate the results with respect to the hypothesis. Seven experts who had experience in building assessments were invited to participate in the input study. Grounded group decision making analysis method confirmed the hypothesis testing results. The research results indicated that user adaptive behaviors directly affect building energy performance. Sustainable Building Assessment Tool developers along with energy efficient building design consultants and contractors could make use of these research findings.

scholarly journals Influence of the capillary pipe geometry on the energy efficiency of household refrigerator

2020 ◽  
Vol 207 ◽  
pp. 01013
Author(s):  
Hristo Hristov ◽  
Apostol Simitchiev ◽  
Donka Stoeva
Keyword(s):  
Energy Efficiency ◽  
Life Cycle ◽  
Energy Consumption ◽  
Low Energy ◽  
Refrigeration Cycle ◽  
Domestic Refrigerator ◽  
Optimal Geometry ◽  
Low Energy Consumption ◽  
Low Volume ◽  
Pipe Geometry

The energy efficiency of household refrigerating appliances was measured according to EN TSO15502. A Liebherr TKP 1650 built-in Domestic refrigerator is used to determine the influence of the capillary pipe geometry. The temperatures at the injection site of the refrigerant, the inlet and outlet of the evaporator receiver were measured. The obtained results show that there is no universal optimal geometry of the capillary pipe. There is no element of the refrigeration cycle whose change has no effect on the refrigerant flow rate passing through the capillary pipe. A change in the geometry of capillary pipe affects all other components of the refrigeration cycle and can greatly improve or impair the efficiency of the refrigerator. The potential for switching from one to two different geometries of the capillary pipe is approximately 8% improvement in energy consumption. Possible implementation should take into account the potential savings - 8% and the life cycle of the particular appliance (- 15 years). For the particular measured device, the consumption per year is about 75kWh, which should take into account that the device itself has a low volume and low energy consumption.

Research on Energy Saving Diagnosis of Clean Air Conditioning System in Pharmaceutical Industry

2014 ◽  
Vol 977 ◽  
pp. 174-177
Author(s):  
Xin Li ◽  
Rui Ying Jia ◽  
Run Ping Niu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Pharmaceutical Industry ◽  
Energy Saving ◽  
Air Conditioning ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Air Conditioning System ◽  
Clean Air

The purpose of building energy efficiency diagnosis was to find out the problems existing in the process of using energy and analysis the potential of energy saving to guide the owner who should improve the building energy efficiency as far as possible to reduce building energy consumption. This paper involves only the research on energy saving diagnosis of clean air conditioning system in pharmaceutical industry.

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