scholarly journals Genetic Algorithms Based Reference Signal Determination for Temperature Control of Residential Buildings

2018 ◽  
Vol 8 (11) ◽  
pp. 2129 ◽  
Author(s):  
Domenico Gorni ◽  
Antonio Visioli

This paper deals with the use of genetic algorithms for the determination of the optimal set-point signals for the control of the temperature in a residential building for which the use of the rooms, that is, the user requirements, are different throughout the day. In particular, the optimization procedure aims at minimizing the overall energy consumption by satisfying, at the same time, the comfort constraints set by the user. Both the case of radiators and fan-coil units are considered. The presence of unoccupied rooms is also addressed. Finally, a comparison between this approach and a Model Predictive Control based one is presented. Simulation results obtained by using TRNSYS software tool demonstrate the effectiveness of the method.

2021 ◽  
Vol 258 ◽  
pp. 09038
Author(s):  
Valentina Halushko ◽  
Alexandr Meneiliuk ◽  
Stanislav Kyryliuk

The article deals with the problems of buildings built many years ago, in which current and major repairs were not carried out in an appropriate manner. At the same time, buildings experience various deformations, such as yield, heel, subsidence, deflections, bends, twists, distortions, horizontal displacements. The survey of residential buildings built in the 80s is described and the analysis of the results of the survey of one of these buildings is carried out. The theoretical problem of the distribution of moisture in depth and various degrees of soil moisture has been solved. The reasons for the appearance of cracks in structures and cracks between individual building elements are also determined. The survey of a 9-storey brick residential building, built in the late 80s, which is in the period of normal operation, is considered. At the same time, the considered building is operated with significant deviations from regulatory requirements. The causes of cracks in individual structures and cracks between individual elements in the building are found. The problem of the distribution of moisture in depth with local soaking is solved on the basis of a numerical method, and the character of soil moistening at different depths with different degrees of moistening and characteristics of the base soil is obtained.


2015 ◽  
Vol 33 (3) ◽  
pp. 210-227 ◽  
Author(s):  
André Thomsen ◽  
Kees van der Flier ◽  
Nico Nieboer

Purpose – In previous research publications the authors combined the available knowledge about obsolescence in a conceptual model for further research on and appliance in the decision making about demolition. Since evidence-based theoretical research references on obsolescence are rare, the model inevitably had an explorative character. The purpose of this paper is to test and elaborate the model. Design/methodology/approach – A series of case studies were conducted in various residential building estates. In each estate the types of obsolescence (according to the model) and their interrelationships were identified. Findings – The model can usefully be applied; it enables the determination of types of obsolescence. The case studies also show that several types of obsolescence occur simultaneously, and that these types can be interrelated. This touches upon the complexity of cause-effect mechanisms as already mentioned in the introduction. One of the weaknesses is that information is sometimes available for only one point in time, and that the availability of information varies with the type of obsolescence. Research limitations/implications – The study is based on a limited selection of case studies. Further, the causal relationships between the types of obsolescence could not always be revealed. Practical implications – The current model does not distinguish between causes and effects. For further development of the model, cause-effect processes have to be further analysed. Social implications – Actual measurement of the extent of obsolescence per type is not part of this study, but has to be carried out before social implications can adequately be indicated. Originality/value – The paper presents a conceptual classification of obsolescence that turns out to be workable when tested in practice.


2018 ◽  
Vol 33 ◽  
pp. 03055 ◽  
Author(s):  
Larisa Grigoreva ◽  
Vladimir Grigoryev

For the formation of programs for housing construction and planning of capital investments, when developing the strategic planning companies by construction companies, the norms or calculated indicators of the duration of the construction of high-rise residential buildings and multifunctional complexes are mandatory. Determination of stable values of the parameters for the high-rise construction residential buildings provides an opportunity to establish a reasonable duration of construction at the planning and design stages of residential complexes, taking into account the influence of market conditions factors. The concept of the formation of enlarged models for the high-rise construction residential buildings is based on a real mapping in time and space of the most significant redistribution with their organizational and technological interconnection - the preparatory period, the underground part, the above-ground part, external engineering networks, landscaping. The total duration of the construction of a residential building, depending on the duration of each redistribution and the degree of their overlapping, can be determined by one of the proposed four options. At the same time, a unified approach to determining the overall duration of construction on the basis of the provisions of a streamlined construction organization with the testing of results on the example of high-rise residential buildings of the typical I-155B series was developed, and the coefficients for combining the work and the main redevelopment of the building were determined.


2009 ◽  
Vol 15 (4) ◽  
pp. 612-630 ◽  
Author(s):  
Marjana Šijanec Zavrl ◽  
Roko Žarnić ◽  
Jana Šelih

A simple method for the assessment of sustainability of a residential building is proposed. The method consists of two steps. First, areas that influence sustainability level of the building (e.g. building architecture, design, in‐built materials) are identified. For each area, several elements and corresponding indicators are determined. Depending on their nature, the indicators are expressed either in quantitative or qualitative terms. The impact areas and their corresponding elements influence all three aspects of sustainability. In the second step, the indicators are aggregated according to their influence on individual sustainability aspects. Special attention is placed to the determination of weights assigned to the indicators in order to make the assessment method relevant in the local context. Initially, the consensus‐based method within the research team was used as a technique for aggregated indicators’ weighting. Later, the open discourses among the developers and stakeholders, as well as surveys, were employed to determine the aggregated indicators’ weights. The proposed method is applied to a selected sample building, and the analysis of the results is carried out. The results obtained show that the completeness and reliability of the input data is crucial for the reliability of the proposed assessment method. Subjectivity in evaluators’ judgments required to score some indicators needs to be reduced by introducing adequate training of the assessors. The feedback from the potential users shows that the method has a potential for wider future implementation in practice. Santrauka Straipsnyje siūlomas paprastas gyvenamųjų namų darnos vertinimo metodas. Šiuo metodu skaičiuojama dviem etapais. Pirmuoju etapu nustatomi kriterijai, darantys įtaką pastato darnos lygiui (pavyzdžiui, pastato architektūra, konstrukcija, medžiagos). Nustatomi keli kiekvieną kriterijų apibūdinantys rodikliai. Priklausomai nuo pobūdžio jie gali būti kiekybiniai arba kokybiniai ir gali apibūdinti visus tris darnos aspektus. Antruoju etapu rodikliai sugrupuojami pagal jų įtaką atskiriems darnos aspektams. Ypatingas dėmesys skiriamas rodiklių reikšmingumų nustatymui. Tai vertinimo metodą daro tinkamą konkrečioms sąlygoms. Rodiklių reikšmingumai nustatomi grupės ekspertų nuomonių sutarimo metodu. Vėliau reikšmingumai tikslinami diskusijoje tarp susinteresuotų grupių narių. Pasiūlytas metodas pritaikytas pasirinktam tipiniam pastatui, atlikta gautų rezultatų analizė. Rezultatai atskleidė, jog pradinių duomenų išsamumas ir tikrumas daro lemiamą įtaką pasiūlyto vertinimo metodo patikimumui. Tinkamai apmokant vertintojus galima sumažinti kai kurių rodiklių vertinimo subjektyvumą. Potencialių vartotojų reakcija rodo, kad ateityje šis metodas gali būti plačiai taikomas.


Polymers ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 314
Author(s):  
Krzysztof Nering ◽  
Alicja Kowalska-Koczwara

This paper is aimed at investigating the use of polyurethane mats, usually used as ballast mats, for residential building purposes. Ballast mats have features that may improve the vibroacoustic comfort in residential rooms. Their strength is certainly an advantage, along with vibration and acoustic insulation. However, the problem that an engineer has to deal with, for example in modeling these types of mats, is a limited knowledge of the material’s vibroacoustic parameters. Knowledge of these may be useful for residential buildings. This paper presents measurements of the vibroacoustic parameters of polyurethane mats, together with a suitable methodology and some results and analysis. The two main material parameters responsible for vibroacoustic protection were measured: the dynamic stiffness, which is related to the acoustic properties of the material, and the critical damping coefficient, which is obviously responsible for damping. The measurement methodology is clearly described. A total of five polyurethane materials with different densities were tested. It was possible to identify a relationship between the material density and the vibroacoustic parameters, which could offer an indication of which material to use, depending on the stimulus affecting a human in a given location.


2020 ◽  
Vol 17 (1) ◽  
pp. 41
Author(s):  
UMMU SHOLEHAH MOHD NOR

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.


Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2917
Author(s):  
Mohammad Dabbagh ◽  
Moncef Krarti

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.


2014 ◽  
Vol 635-637 ◽  
pp. 60-64
Author(s):  
Daria Vladimirovna Petrosova ◽  
Dmitri Vadimovich Petrosov ◽  
Natalia Mikhailovna Kuzmenko

Now in Russia construction of buildings with framework use from a metalwork which show itself as universal, strong, easy and fast-built is actively conducted. There are offers and initial experience of application of easy steel protecting designs with an effective heater in multystoried frame residential buildings, but without sufficient theoretical and experimental justification.In this regard, the question of determination of the heatphysical properties, in particular the specified resistance to a heat transfer, is actual.Results of laboratory researches of the specified resistance are presented to a heat transfer of an easy protecting design in article.


Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 405
Author(s):  
Anam Nawaz Khan ◽  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Do-Hyeun Kim

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.


Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  

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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