scholarly journals Residential Buildings Complex Boundaries Generation Based on Spatial Grid System

2021 ◽  
Vol 12 (1) ◽  
pp. 165
Author(s):  
Marko Lazić ◽  
Ana Perišić ◽  
Branko Perišić
Keyword(s):  
Residential Buildings ◽  
Residential Building ◽  
Automatic Generation ◽  
Software Application ◽  
Novel Approach ◽  
Building Area ◽  
Spatial Grid ◽  
Complex Boundaries ◽  
The Individual ◽  
Prototype Software

The automatic generation of building boundaries in contemporary research and engineering projects and practices is dominantly characterized by interior functional constraints. As a basis for the automated generation of various building boundaries, the solution presented in this paper is a novel approach that ignores the internal (functional) and focuses only on the external (non-functional) impacts. The primary orientation on external impacts may be, at any instance, extended by suitable complementary traditional methodology. The applied research methodology and presented method rely on a developed extendible rule-based system that simplifies floor plan creation by the recursive application of a formulated spatial grid generation algorithm. Based on starting parameter values (mainly the lot and building area spaces) the algorithm tends to create a set of grids that satisfy initial constraints by marking the individual grid cells as a part of the building or empty. The presented conceptual framework model served as a foundation for creating a prototype software application that supports the experimental generation of grid arrays that are transformed into readable images of residential building boundaries. For the initial validation of the developed methodology, method, and algorithm, the concrete parametric resolution is set to 1 m. The comparative analysis has shown that the presented approach overcomes some of the limitations of previous related research that generate building boundaries in simple rectangular form or with limited variability. The proposed method, in its current stage, outperforms discussed existing methods concerning complex shape boundary building plan generation. Besides that, there is a broad space for further enhancement directions concerning the interoperability with other, independently developed, frameworks, and software tools.

ANALISIS PENILAIAN BANGUNAN RUMAH TINGGAL DI KOTA DENPASAR

1970 ◽  
Author(s):  
M. Mariada Rijasa ◽  
M. Sukrawa ◽  
Mayun Nadiasa
Keyword(s):  
Literature Review ◽  
Negative Impact ◽  
Residential Buildings ◽  
Residential Building ◽  
Dominant Factor ◽  
Validity And Reliability ◽  
Building Area ◽  
Road Width ◽  
Building Characteristics ◽  
The City

Research on factors that affect the value of residential buildings in the city of Denpasar has been done consisting of literature review, interviews with experts, data collection and statistical analysis. Obtained from literature review were 45 factors which then grouped into four, namely: land characteristics, environment, location, and building characteristics. Survey on 27 valuation expert respondents was done to obtain their perceptions on the factors, and then their perceptions were measured with Likert scale. The data were then statistically tested to determine its validity and reliability, after which factor analysis was performed to obtain factors that truly valid within its group. To further evaluate the dominant factor in each group, two hundred data of previously assessed residential buildings were collected and analyzed using multiple linear regression. Results showed that group of factors that affect the value of residential building the most is location (7.723) followed by environment (3.843), building characteristics (3,741) and land characteristics (3.253). Downtown area, road width, building area, and land area are the factor of location, environment, building characteristics, and land characteristics, respectively, that dominantly showed positive effect within its group. SUTET transmission, poor road conditions, poor physical condition of the house, and the land at road end "tusuk sate" dominantly showed negative impact within its group.

Improvements of Energy Balance of Existing Residential Buildings

2014 ◽  
Vol 899 ◽  
pp. 139-142
Author(s):  
Mária Budiaková
Keyword(s):  
Energy Balance ◽  
Architectural Design ◽  
Residential Buildings ◽  
Residential Building ◽  
Heating System ◽  
Heat Pumps ◽  
Real Estate Market ◽  
Point Of View ◽  
Zero Energy ◽  
The Individual

The paper is oriented on searching for possibilities, which would approach the existing residential buildings to zero energy buildings. Existing residential buildings must remain competitive in the real estate market. Therefore, this paper is focused on progressive solutions, which application will significantly contribute to the approach towards zero energy balance. I have done my research on a concrete residential building in Bratislava. Scientifically I analyze the individual phases of improvement of this residential building. Firstly, I calculate the annual energy balance for individual phases, then I evaluate them. The basic improvement phases of energy balance of concrete residential building: insulation, regulation of heating system, application of heat pumps, application of solar collectors and photovoltaic modules. The scientific outputs are presented by well arranged graphs. Each improvement phase is analyzed in detail with introduced risks and contribution for energy balance. I will point out the problem of incorrect architectural design from the energy point of view, which remains a serious obstacle for further possible improvements with modern technological systems. By this research, I want to point out new possibilities for existing residential buildings.

scholarly journals Assessment of the Energy Savings Potential in the Residential Building Stock in Bosnia and Herzegovina

2017 ◽  
Vol 2017 ◽  
Author(s):  
Nermina Zagora ◽  
Mladen Burazor ◽  
Erdin Salihović
Keyword(s):  
Bosnia And Herzegovina ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Stock ◽  
Policy Makers ◽  
Research Activities ◽  
The Status ◽  
Residential Building Stock ◽  
The Individual

This paper intends to bring attention of both scientific and general audience to the status quo of the existing, residential building stock in Bosnia and Herzegovina, highlighting its energy savings potential. The research results presented in this text may be applicable on two levels: on a larger scale, the policy makers may use this data in the process of development of strategic and EE measures implementation plans, while, on a smaller scale, the individual users may gain practical insight into the benefits of energy saving measures and implement them in their own households. Moreover, the exposed data may be subject to further evaluations, studies and comparisons, while the presented methodology can be used by other researchers in countries where there have not been research activities on the existing residential buildings stock from the EE perspective.

Analysis of Thermal Comfort in Flat in New High Residential Building

2016 ◽  
Vol 861 ◽  
pp. 361-368
Author(s):  
Mária Budiaková
Keyword(s):  
Thermal Comfort ◽  
Architectural Design ◽  
Residential Buildings ◽  
Winter Season ◽  
Residential Building ◽  
Heating System ◽  
Residential Areas ◽  
Air Velocity ◽  
Globe Temperature ◽  
The Individual

This paper focuses on the analysis of thermal comfort in a flat in the new high residential building. Providing the optimal parameters of thermal comfort in each room of the flat is the basic prerequisite for the satisfaction with housing. Incorrect position and size of heating elements, incorrect positioning of the furniture and incorrect use of residential interiors may significantly disturb the thermal comfort. Residential areas in the new residential buildings are much more intensively used as in the other types of buildings. Surface of new flats is the most optimized. Experimental measurements were carried out in the winter season in 2016 in the residential rooms of the large flat in the new high residential building. Device Testo 480 with temperature and humidity sensor, globe thermometer and turbulence sensor was used for the measurements. Obtained values of air temperature, air relative humidity, air velocity, globe temperature and indexes PMV, PPD are presented in the graphs. Heating system of the flat and the possibility of its regulation, positioning and size of the heating elements in the individual rooms, positioning of the furniture and the utilization of rooms were evaluated on the basis of parameters of thermal comfort. In the conclusion of the paper, there are principles on the architectural design of the residential interiors and their heating in the new residential buildings.

Tenants' Satisfaction in High Residential Building

2020 ◽  
Vol 17 (1) ◽  
pp. 41
Author(s):  
UMMU SHOLEHAH MOHD NOR
Keyword(s):  
Urban Areas ◽  
Residential Buildings ◽  
Low Cost ◽  
Residential Building ◽  
Real Estate Market ◽  
The Real Estate ◽  
Level Of Satisfaction ◽  
Considerable Impact ◽  
Residential Living ◽  
Medium Cost

High residential living in Malaysia has not been widely given a significant emphasises in literature despite its increasing scale and significance in the real estate market. The significance of high rise is mainly due the increasing rate of migration from rural to urban. It is estimated a total of 77.2 percent of the Malaysian population lived in urban areas in 2020. Approximately, 30 percent of this urban population lives in strata housing. These percentages are predicted to continue to increase in the future. The emergence of high residential building has been argued as confronting various problems which has considerable impact on this life style. Satisfaction is an important outcome of living in one’s dwelling, although it is not the only consideration. High residential building in Malaysia encountered numerous problems in term of management aspects, legislation aspects, and residents’ satisfaction. The purpose of this paper is to investigate the tenants’ satisfaction living in high residential buildings in Klang Valley. The questionnaires survey is conducted amongst 276 tenants at low cost and medium cost HRB using random sampling in HRB located at areas under jurisdiction Dewan Bandaraya Kuala Lumpur (DBKL), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Bandaraya Shah Alam (MBSA), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Perbandaran Selayang (MPS) and Majlis Perbandaran Ampang Jaya (MPAJ). The result from this study shows that tenant in medium cost residential building are more satisfied in term of facilities and management as compared to tenants in low cost residential building. Tenants also not disclosed to the existing act and procedure related to high residential building. In conclusion, this study suggested the Local Authority to emphasise the role of tenant. These recommendation hopefully will increase the level of satisfaction amongst the residents in HRB.

scholarly journals Evaluation model: A performance appraisal model for certified lecturers

2018 ◽  
Vol 49 ◽  
pp. 02003
Author(s):  
Dyah Ayu Puri Palupi ◽  
Mardanung Patmo Cahjono ◽  
Kristyana Dananti
Keyword(s):  
Performance Appraisal ◽  
Evaluation Model ◽  
Group Discussion ◽  
Valuable Contribution ◽  
Web Based ◽  
Software Application ◽  
The Government ◽  
Program Test ◽  
Prototype Software ◽  
Efficient Software

This study aims to develop lecturer performance appraisal model using web-based Integrated Evaluation Model (IEM). The object of this study is certified lecturers in Indonesia, by applying this model, the certification compensation given by the government is really used to enhance lecturer's performance. It is expected that the results of this study can be an important research that produces effective and efficient software to evaluate the lecturers' performance nationally because it involves a 360degree assessment. We have done some activities to develop the prototype software application of Integrated Evaluation Model (IEM) for assessing the certified lecturer's performance. They are 1) preparing the questionnaire indicator for the 360 degree performance appraisal, 2) conduct the program test on the certified lecturer. In this phase, certified lecturers, superior, and students also conduct assessment on certified lecturers through IEM software, 3) conduct Focus Group Discussion (FGD) to gain evaluation and feedback on the effectiveness of the IEM application program. FGD results provide a valuable contribution to the preparation of IEM program design. And the IEM software produced in this research has accommodated all of the results of FGD activities. IEM complements the prior certified lecturer performance appraisal with 360 degrees performance appraisal.

Using hidden Markov models to find discrete targets in continuous sociophonetic data

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Daniel Duncan
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Abstract Representation ◽  
Language Variation And Change ◽  
Novel Approach ◽  
Single Target ◽  
The Individual ◽  
Individual Speaker

Abstract Advances in sociophonetic research resulted in features once sorted into discrete bins now being measured continuously. This has implied a shift in what sociolinguists view as the abstract representation of the sociolinguistic variable. When measured discretely, variation is variation in selection: one variant is selected for production, and factors influencing language variation and change are influencing the frequency at which variants are selected. Measured continuously, variation is variation in execution: speakers have a single target for production, which they approximate with varying success. This paper suggests that both approaches can and should be considered in sociophonetic analysis. To that end, I offer the use of hidden Markov models (HMMs) as a novel approach to find speakers’ multiple targets within continuous data. Using the lot vowel among whites in Greater St. Louis as a case study, I compare 2-state and 1-state HMMs constructed at the individual speaker level. Ten of fifty-two speakers’ production is shown to involve the regular use of distinct fronted and backed variants of the vowel. This finding illustrates HMMs’ capacity to allow us to consider variation as both variant selection and execution, making them a useful tool in the analysis of sociophonetic data.

scholarly journals Optimal Control Strategies for Switchable Transparent Insulation Systems Applied to Smart Windows for US Residential Buildings

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2917
Author(s):  
Mohammad Dabbagh ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Control Strategies ◽  
Residential Buildings ◽  
Residential Building ◽  
Optimization Approach ◽  
Optimal Controls ◽  
Peak Demand ◽  
Smart Windows ◽  
Insulation Systems ◽  
Rule Set

This paper evaluates the potential energy use and peak demand savings associated with optimal controls of switchable transparent insulation systems (STIS) applied to smart windows for US residential buildings. The optimal controls are developed based on Genetic Algorithm (GA) to identify the automatic settings of the dynamic shades. First, switchable insulation systems and their operation mechanisms are briefly described when combined with smart windows. Then, the GA-based optimization approach is outlined to operate switchable insulation systems applied to windows for a prototypical US residential building. The optimized controls are implemented to reduce heating and cooling energy end-uses for a house located four US locations, during three representative days of swing, summer, and winter seasons. The performance of optimal controller is compared to that obtained using simplified rule-based control sets to operate the dynamic insulation systems. The analysis results indicate that optimized controls of STISs can save up to 81.8% in daily thermal loads compared to the simplified rule-set especially when dwellings are located in hot climates such as that of Phoenix, AZ. Moreover, optimally controlled STISs can reduce electrical peak demand by up to 49.8% compared to the simplified rule-set, indicating significant energy efficiency and demand response potentials of the SIS technology when applied to US residential buildings.

scholarly journals Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 405
Author(s):  
Anam Nawaz Khan ◽  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Do-Hyeun Kim
Keyword(s):  
Energy Consumption ◽  
Statistical Model ◽  
Residential Buildings ◽  
Residential Building ◽  
Experimental Results ◽  
Consumption Patterns ◽  
Ensemble Prediction ◽  
Short Term ◽  
Term Energy ◽  
Prediction Approach

With the development of modern power systems (smart grid), energy consumption prediction becomes an essential aspect of resource planning and operations. In the last few decades, industrial and commercial buildings have thoroughly been investigated for consumption patterns. However, due to the unavailability of data, the residential buildings could not get much attention. During the last few years, many solutions have been devised for predicting electric consumption; however, it remains a challenging task due to the dynamic nature of residential consumption patterns. Therefore, a more robust solution is required to improve the model performance and achieve a better prediction accuracy. This paper presents an ensemble approach based on learning to a statistical model to predict the short-term energy consumption of a multifamily residential building. Our proposed approach utilizes Long Short-Term Memory (LSTM) and Kalman Filter (KF) to build an ensemble prediction model to predict short term energy demands of multifamily residential buildings. The proposed approach uses real energy data acquired from the multifamily residential building, South Korea. Different statistical measures are used, such as mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE), and R2 score, to evaluate the performance of the proposed approach and compare it with existing models. The experimental results reveal that the proposed approach predicts accurately and outperforms the existing models. Furthermore, a comparative analysis is performed to evaluate and compare the proposed model with conventional machine learning models. The experimental results show the effectiveness and significance of the proposed approach compared to existing energy prediction models. The proposed approach will support energy management to effectively plan and manage the energy supply and demands of multifamily residential buildings.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

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