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 A CONCEPTUAL FRAMEWORK FOR DELIVERING SUSTAINABLE BUILDING ENERGY EFFICENCY RETROFIT USING THE ENERGY PERFORMANCE CONTRACTING (EPC) IN CHINA

2013 ◽  
Vol 8 (1) ◽  
pp. 177-190 ◽  
Author(s):  
Pengpeng Xu ◽  
Edwin H. W. Chan ◽  
Patrick T. I. Lam
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Success Factors ◽  
Building Energy ◽  
Energy Performance ◽  
Existing Buildings ◽  
Sustainable Building ◽  
Performance Contracting ◽  
Service Companies ◽  
Energy Service

Sustainable building has become a future development trend in the building sector. Building Energy Efficiency Retrofit (BEER) provides excellent opportunities to reduce energy consumption in existing buildings, and to promote environmental protection, the rational use of resources, occupants' health, all of which helps to improve the sustainability of existing buildings. Energy Performance Contracting (EPC) provided by Energy Service Companies (ESCOs) is a market mechanism to provide financial and technological support for energy efficiency projects. This paper aims to develop a sustainability promotion framework for BEER projects under the EPC mechanism to link the sustainable performance of BEER with the success factors of this EPC mechanism. Different types of building have different energy consumption characteristics. This research focuses on hotel buildings in China. The paper develops a framework for sustainable BEER through an EPC mechanism in hotel buildings based on the EFQM Excellence Model for business quality management. Interviews were conducted with experts from the hotel industry, from energy service companies and with academics. Based on the developed framework, the study has identified 11 performance indicators for sustainable BEER and 28 success factors of an EPC mechanism. This provides significant groundwork for future study in developing an assessment model to evaluate the sustainability of BEER projects.

scholarly journals A Study on Energy and Cost Efficiency for Existing Hotel Buildings in Turkey

2019 ◽  
Vol 111 ◽  
pp. 03037
Author(s):  
Merve Atmaca ◽  
Zerrin Yýlmaz
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cost Efficiency ◽  
Building Energy ◽  
Energy Performance ◽  
Insulation Material ◽  
Negative Effects ◽  
Energy Needs ◽  
Global Cost ◽  
Optimum Solution

In Turkey, according to TUİK Sectoral Energy Consumption Statistics (2006), the hotel buildings with the highest share, constitute 35% of the total building energy consumption. Energy needs and consumption behaviours differ according to the typology of the building. Energy Performance of Buildings Directive (EPBD) has been adapted to the conditions of Turkey to increase energy and cost efficiency, to reduce the environmental and economic negative effects. The energy consumption and the global cost were investigated under different conditions in an existing hotel building. The paper is unique in its ability to deliver optimum solution through comparison by evaluating energy and cost efficiency at the same time considering sectoral, climatic, technological and economic national conditions when the literature research detailed in the present works about the problem is evaluated in detail. All findings have been compared simultaneously under different climate regions of seasonal and yearly working conditions of selected test hotel to obtain the energy and cost efficiency. Among the proposed improvement scenarios, the optimum scenario is determined in terms of cost and energy efficiency in S18 which has the highest energy efficiency. In this case, both insulation material type and thickness as well as glass type can be bent and through multiple measures can be achieved by 25.7% improvement for energy efficiency.

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.

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.

Optimization of Energy Consumption Using BIM-Based Building Energy Performance Analysis

2013 ◽  
Vol 281 ◽  
pp. 649-652 ◽  
Author(s):  
Dae Kyo Jung ◽  
Dong Hwan Lee ◽  
Joo Ho Shin ◽  
Byung Hun Song ◽  
Seung Hee Park
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Performance Analysis ◽  
Cooling System ◽  
Optimization Technique ◽  
Building Energy ◽  
Energy Performance ◽  
Information Modeling ◽  
Building Energy Performance ◽  
Heating And Cooling

Recently, the interest in increasing energy efficiency of building energy management system (BEMS) has become a high-priority and thus the related studies also increased. In particular, since the energy consumption in terms of heating and cooling system takes a large portion of the energy consumed in buildings, it is strongly required to enhance the energy efficiency through intelligent operation and/or management of HVAC (Heating, Ventilation and Air Conditioning) system. To tackle this issue, this study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in Energyplus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the Energyplus environment. And then, the HVAC models are modified throughout the comparison between the energy consumption patterns and the real-time monitoring in-field data. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of “supply air temperature schedule”.

scholarly journals Finding Alternative Methods for Controlling the Power Shortage in Kurdistan through Improving Buildings’ Energy Performance

2018 ◽  
Vol 7 (4) ◽  
pp. 124
Author(s):  
Kawar T. Salih
Keyword(s):  
Energy Efficiency ◽  
Developing Countries ◽  
Energy Consumption ◽  
Energy Demand ◽  
Building Design ◽  
Energy Performance ◽  
Alternative Methods ◽  
Research Approach ◽  
Building Sector

The power shortage is one of the major problems in developing countries. Kurdistan Region of Iraq suffers from this issue, like other developing countries. Especially, after the economy crises that has started in 2014. However, all its efforts for tackling this challenge has been in providing more energy supply stations and more fuel provision. Few studies have been found in the region that seek the relation between the quality of buildings and energy consumption. It is questioned if the building sector in Kurdistan is well managed and environmentally sufficient to consume minimum amount of energy since it is the largest energy consuming sector. This research will seek an alternative to decrease the energy demand in buildings instead of expanding the energy sector. This could be achieved by evaluating the quality of building sector environmentally and improving it. Providing guidelines for building’s thermal regulations, passive building design and increasing the energy efficiency of buildings by renewal means could be alternative strategies for lowering the energy consumption. Theoretical and numerical research approach have been taken in to account for finding the answer through a case study and comparative analysis. A variation of 21-29% of power consumption can be observed between buildings that have not considered energy efficiency criteria in their design and those who reflected them more in the design.

scholarly journals Bringing Energy Efficiency for Hospital Building through the Conservative and Preventive Measures

2019 ◽  
Vol 8 (12) ◽  
pp. 3056-3060
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Health Care Services ◽  
Preventive Measures ◽  
Electric Energy ◽  
Green Building ◽  
Building Design ◽  
Energy Performance ◽  
World Health ◽  
Domestic Water

The energy consumption of hospital buildings, have increased due to embedment of sophisticated equipment pertaining to advent of technology. Factors affecting energy consumptions are air quality monitoring, high maintenance of sophisticated machineries, accurate sanitization of premises, high load of patients to doctor ratio in India which is 1596:1 as compared to regulation of 1000:1 prescribed by World Health Organization (WHO). Confederation of Indian Industry (CII) reported that nearly 60% of health care services and hospitals do not meet the minimum of Energy Performance Index (EPI) criteria. Energy Conservation Building Code (ECBC) of India shows that hospitals in India have a potential to achieve 42% energy saving by implementing energy efficient measures. Hence, there is a dire need to assess the parameters contributing to heavy energy consumption and the conservative and preventive measures need to be addressed. Literature indicates incorporation of efficient domestic water heating techniques, boilers, usage of renewable energies, thermal insulation improvement, optimal building design, improvement of air conditioning and heating systems, optimizing electric energy installations etc as possible techniques for achieving energy efficiency. A compile of best practices proposed from literature as compared to the regulations made by ECBC, CII, MEDA, and GBC (Green building council) is made in this paper. HVAC being the highest contributing system for energy consumption, IoT based working models are prepared and proposed for application; suitability of adoption of the system is discussed.

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