Pub Date : 2021-10-04DOI: 10.1080/17512549.2021.1975559
R. O. Panizza, M. Nik-Bakht
ABSTRACT Building performance simulation (BPS) applied at earlier stages of design has the potential to assist design parameter decisions that significantly impact a building’s life cycle. Since at such early stages, numerous design variables are still undetermined (e.g. window type, insulations, etc.) the scenarios to be simulated through BPS will be vast and will require extensive time and computational power. Previous studies have tested the sensitivity of a building’s energy consumption during its operation, to design parameters. Most of those studies, however, have used a single case study in their analysis. Thus, the objective of this paper is to evaluate the dependency of results of such sensitivity analyses, on the case study being used. To accomplish that, a hybrid method combining one-parameter-at-a-time (OAT) and global samplings was used. Within the cold climate scope of Québec, Canada, multiple buildings were used to investigate the sensitivity of energy and economy performance to design parameters (architectural, electrical, and mechanical systems); as well as the sensitivity of parameters’ impact on building models. Results indicate that architectural and electrical parameters are sensitive to the model. To expand on the understanding of the root cause of this sensitive behaviour, hypotheses were developed and evaluated through global sampling.
{"title":"On the invariance of energy influential design parameters in a cold climate – a meta-level sensitivity analysis based on the energy, economy, and building characteristics","authors":"R. O. Panizza, M. Nik-Bakht","doi":"10.1080/17512549.2021.1975559","DOIUrl":"https://doi.org/10.1080/17512549.2021.1975559","url":null,"abstract":"ABSTRACT\u0000 Building performance simulation (BPS) applied at earlier stages of design has the potential to assist design parameter decisions that significantly impact a building’s life cycle. Since at such early stages, numerous design variables are still undetermined (e.g. window type, insulations, etc.) the scenarios to be simulated through BPS will be vast and will require extensive time and computational power. Previous studies have tested the sensitivity of a building’s energy consumption during its operation, to design parameters. Most of those studies, however, have used a single case study in their analysis. Thus, the objective of this paper is to evaluate the dependency of results of such sensitivity analyses, on the case study being used. To accomplish that, a hybrid method combining one-parameter-at-a-time (OAT) and global samplings was used. Within the cold climate scope of Québec, Canada, multiple buildings were used to investigate the sensitivity of energy and economy performance to design parameters (architectural, electrical, and mechanical systems); as well as the sensitivity of parameters’ impact on building models. Results indicate that architectural and electrical parameters are sensitive to the model. To expand on the understanding of the root cause of this sensitive behaviour, hypotheses were developed and evaluated through global sampling.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"466 - 488"},"PeriodicalIF":2.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45341560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-04DOI: 10.1080/17512549.2021.1982768
S. Ouhaibi, O. Mrajji, M. El Wazna, A. Gounni, N. Belouaggadia, M. Ezzine, R. Lbibb, A. El Bouari, O. Cherkaoui
ABSTRACT The objective is to evaluate the potential of the thermal insulation application of sisal fibre in the form of a nonwoven material. The thermo -physical and microstructural characteristics of sisal/nonwoven wool were determined experimentally. Also, the tensile strength of sisal/nonwoven wool was systematically evaluated. The thermal conductivity coefficient of the fabricated sample is 0.038 W/(m. K) and is comparable and very satisfactory compared to traditional materials. This work results show high potential for the applicability of nonwoven designs from sisal fibre in the building. Exceptional thermal performance, low density, fire resistance, and air permeability factors have confirmed that this is a promising product for the thermal insulation market. The thermal performance of the developed material, integrated into an exterior wall and exposed to the climatic conditions of the Mediterranean climate, was performed. It was found that the wall made with the developed nonwoven designed from sisal fibre material provides a 78% reduction in annual cooling energy needs and a 76% reduction in annual heating needs. The specific cost of the developed insulation materials is studied, and the results show that the designed insulation can be a competitive solution.
{"title":"Sisal-fibre based thermal insulation for use in buildings","authors":"S. Ouhaibi, O. Mrajji, M. El Wazna, A. Gounni, N. Belouaggadia, M. Ezzine, R. Lbibb, A. El Bouari, O. Cherkaoui","doi":"10.1080/17512549.2021.1982768","DOIUrl":"https://doi.org/10.1080/17512549.2021.1982768","url":null,"abstract":"ABSTRACT The objective is to evaluate the potential of the thermal insulation application of sisal fibre in the form of a nonwoven material. The thermo -physical and microstructural characteristics of sisal/nonwoven wool were determined experimentally. Also, the tensile strength of sisal/nonwoven wool was systematically evaluated. The thermal conductivity coefficient of the fabricated sample is 0.038 W/(m. K) and is comparable and very satisfactory compared to traditional materials. This work results show high potential for the applicability of nonwoven designs from sisal fibre in the building. Exceptional thermal performance, low density, fire resistance, and air permeability factors have confirmed that this is a promising product for the thermal insulation market. The thermal performance of the developed material, integrated into an exterior wall and exposed to the climatic conditions of the Mediterranean climate, was performed. It was found that the wall made with the developed nonwoven designed from sisal fibre material provides a 78% reduction in annual cooling energy needs and a 76% reduction in annual heating needs. The specific cost of the developed insulation materials is studied, and the results show that the designed insulation can be a competitive solution.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"489 - 513"},"PeriodicalIF":2.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48803845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-11DOI: 10.1080/17512549.2021.1965022
Mohamad Rida, Sabine Hoffmann
ABSTRACT One of the deficiencies of using Phase Change Materials (PCMs) is the low conductivity, therefore, increasing the heat transfer from and to the PCM remains a challenge. The exposed surface area of the container can play a major role in the amount of heat transfer. Furthermore, building energy simulation always considers surfaces as slabs without shapes consideration. This paper aims to broaden the current knowledge of the relation between the exposed surface area of a macro-encapsulated PCM panel and the heat transfer with the environment. For this study, coconut oil was considered as PCM encapsulated in a thin plastic container, represents an aesthetic PCM panel attached to the ceiling. The results showed that an increase of 50% in the exposed surface area to volume ratio could lead to a 20% reduction of the time required to completely melt the PCM. Results also showed that the convective heat transfer coefficient is proportional to the exposed area to volume ratio, and for that an equivalent heat transfer coefficient is proposed to be used in building simulation tools when dealing with non-slab geometry.
{"title":"The influence of macro-encapsulated PCM panel’s geometry on heat transfer in a ceiling application","authors":"Mohamad Rida, Sabine Hoffmann","doi":"10.1080/17512549.2021.1965022","DOIUrl":"https://doi.org/10.1080/17512549.2021.1965022","url":null,"abstract":"ABSTRACT One of the deficiencies of using Phase Change Materials (PCMs) is the low conductivity, therefore, increasing the heat transfer from and to the PCM remains a challenge. The exposed surface area of the container can play a major role in the amount of heat transfer. Furthermore, building energy simulation always considers surfaces as slabs without shapes consideration. This paper aims to broaden the current knowledge of the relation between the exposed surface area of a macro-encapsulated PCM panel and the heat transfer with the environment. For this study, coconut oil was considered as PCM encapsulated in a thin plastic container, represents an aesthetic PCM panel attached to the ceiling. The results showed that an increase of 50% in the exposed surface area to volume ratio could lead to a 20% reduction of the time required to completely melt the PCM. Results also showed that the convective heat transfer coefficient is proportional to the exposed area to volume ratio, and for that an equivalent heat transfer coefficient is proposed to be used in building simulation tools when dealing with non-slab geometry.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"445 - 465"},"PeriodicalIF":2.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41809007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-04DOI: 10.1080/17512549.2018.1562980
I. Andrić, O. Le Corre, B. Lacarrière, P. Ferrão, Sami G. Al‐Ghamdi
ABSTRACT This review paper organizes and summarizes the literature regarding climate change impacts on future building energy demand. The approaches used for the creation of future weather climate and building renovation scenarios, as well as building energy modeling at different scales, are evaluated. In general, it can be concluded that future heating demand could decrease (7–52%), while cooling demand could increase significantly (up to 1050%). The decrease/increase rates varied significantly depending on the climate and case study building(s) considered, with buildings and building energy systems located in extreme climates being more sensitive to such changes. The main uncertainty of the predicted increase/decrease rates can be assigned to climate models and forecasted weather data. Nonetheless, such forecast and risk assessment are necessary for sustainable development of urban environment and associated energy systems. Further development of dynamic large-scale building energy simulation tools is required, along with the development of large-scale building renovation measures and strategies that take into account additional aspects (such as economic and societal). Moreover, continuous efforts are required in further climate models’ improvement and uncertainty reduction.
{"title":"Initial approximation of the implications for architecture due to climate change","authors":"I. Andrić, O. Le Corre, B. Lacarrière, P. Ferrão, Sami G. Al‐Ghamdi","doi":"10.1080/17512549.2018.1562980","DOIUrl":"https://doi.org/10.1080/17512549.2018.1562980","url":null,"abstract":"ABSTRACT This review paper organizes and summarizes the literature regarding climate change impacts on future building energy demand. The approaches used for the creation of future weather climate and building renovation scenarios, as well as building energy modeling at different scales, are evaluated. In general, it can be concluded that future heating demand could decrease (7–52%), while cooling demand could increase significantly (up to 1050%). The decrease/increase rates varied significantly depending on the climate and case study building(s) considered, with buildings and building energy systems located in extreme climates being more sensitive to such changes. The main uncertainty of the predicted increase/decrease rates can be assigned to climate models and forecasted weather data. Nonetheless, such forecast and risk assessment are necessary for sustainable development of urban environment and associated energy systems. Further development of dynamic large-scale building energy simulation tools is required, along with the development of large-scale building renovation measures and strategies that take into account additional aspects (such as economic and societal). Moreover, continuous efforts are required in further climate models’ improvement and uncertainty reduction.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"337 - 367"},"PeriodicalIF":2.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2018.1562980","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41959621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-29DOI: 10.1080/17512549.2021.1907224
Jeetika Malik, R. Bardhan
ABSTRACT Indoor thermal comfort is critical to building sustainability besides improving occupants’ health, well-being and productivity. However, the applicability of the existing comfort standards within different climatic conditions and contextual settings is often in question. This study presents the findings from a longitudinal thermal comfort study conducted in low-income affordable housing in Mumbai, India. Surveys were conducted in three distinct seasons within a warm–humid climate. The linear regression method yielded a mean neutral temperature of 28.3°C and a wide comfort band ranging from 24.6°C to 32.2°C indicating high thermal adaptation among the occupants. The preferred temperature was found to be 26.3°C. Adaptive comfort standards, ASHRAE and the National Building Code of India prescribed a narrow range of comfort and were ineffective in predicting comfort conditions within affordable housing units. The role of income in shaping comfort expectations was established, lending support to the economic dimension of comfort. The results would be helpful in providing design recommendations for the future affordable housing stock and the development of an adaptive comfort model for vulnerable low-income communities.
{"title":"Thermal comfort perception in naturally ventilated affordable housing of India","authors":"Jeetika Malik, R. Bardhan","doi":"10.1080/17512549.2021.1907224","DOIUrl":"https://doi.org/10.1080/17512549.2021.1907224","url":null,"abstract":"ABSTRACT Indoor thermal comfort is critical to building sustainability besides improving occupants’ health, well-being and productivity. However, the applicability of the existing comfort standards within different climatic conditions and contextual settings is often in question. This study presents the findings from a longitudinal thermal comfort study conducted in low-income affordable housing in Mumbai, India. Surveys were conducted in three distinct seasons within a warm–humid climate. The linear regression method yielded a mean neutral temperature of 28.3°C and a wide comfort band ranging from 24.6°C to 32.2°C indicating high thermal adaptation among the occupants. The preferred temperature was found to be 26.3°C. Adaptive comfort standards, ASHRAE and the National Building Code of India prescribed a narrow range of comfort and were ineffective in predicting comfort conditions within affordable housing units. The role of income in shaping comfort expectations was established, lending support to the economic dimension of comfort. The results would be helpful in providing design recommendations for the future affordable housing stock and the development of an adaptive comfort model for vulnerable low-income communities.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"385 - 413"},"PeriodicalIF":2.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2021.1907224","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47180750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-24DOI: 10.1080/17512549.2021.1891134
A. Keleş, Ecem Önen, J. Górecki
ABSTRACT Construction is one of the most energy-intensive sectors in the world. To scale down the energy demand of the building sector, some changes must be made. Formal exemplifications of this need can be seen in recent changes in the law in different countries. The energy identity/performance certificate contains requirements about buildings’ energy consumption in Turkey, and the Energy Performance Regulation in Buildings is mandatory from 01.01.2020. Moreover, it aimed to measure the level of awareness of individuals in saving energy. Face-to-face surveys were conducted with the use of a questionnaire with individuals residing in Adana's pilot region on the awareness of similar issues such as green buildings and energy efficiency, especially energy identity/performance certificate. The survey results were prepared in Microsoft Excel, and the reliability of the survey questions was measured with the help of the SPSS (Statistical Package for the Social Sciences) program. The analysis of the data was obtained from WEKA (Waikato Environment for Knowledge Analysis). Association rule extraction, which is one of the data mining methods, was used in the analysis. Based on the findings, it was seen that most of the individuals did not have enough information about the topics in the survey.
{"title":"Make saving crucial again: building energy efficiency awareness of people living in urban areas","authors":"A. Keleş, Ecem Önen, J. Górecki","doi":"10.1080/17512549.2021.1891134","DOIUrl":"https://doi.org/10.1080/17512549.2021.1891134","url":null,"abstract":"ABSTRACT Construction is one of the most energy-intensive sectors in the world. To scale down the energy demand of the building sector, some changes must be made. Formal exemplifications of this need can be seen in recent changes in the law in different countries. The energy identity/performance certificate contains requirements about buildings’ energy consumption in Turkey, and the Energy Performance Regulation in Buildings is mandatory from 01.01.2020. Moreover, it aimed to measure the level of awareness of individuals in saving energy. Face-to-face surveys were conducted with the use of a questionnaire with individuals residing in Adana's pilot region on the awareness of similar issues such as green buildings and energy efficiency, especially energy identity/performance certificate. The survey results were prepared in Microsoft Excel, and the reliability of the survey questions was measured with the help of the SPSS (Statistical Package for the Social Sciences) program. The analysis of the data was obtained from WEKA (Waikato Environment for Knowledge Analysis). Association rule extraction, which is one of the data mining methods, was used in the analysis. Based on the findings, it was seen that most of the individuals did not have enough information about the topics in the survey.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"371 - 384"},"PeriodicalIF":2.0,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2021.1891134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42651967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-04DOI: 10.1080/17512549.2021.1881615
O. Mrajji, S. Ouhaibi, M. Wazna, A. Bouari, N. Belouaggadia, M. Ezzine, R. Lbibb, O. Cherkaoui
ABSTRACT This work aims to evaluate the impact of new materials on thermal performance and energy savings. Indeed, this study shows the importance of the use of natural and recycled waste-based feather materials. For this purpose, a full-scale cell located in Casablanca was considered as a case study to build a simulation model performed on TRNSYS. This model is then used for the impact of the techniques studied on energy performance, GHG emissions, and hours of discomfort inside another cell in Casablanca. This study showed that the developed nonwovens exhibit excellent insulation performance with thermal conductivity in the range of 0.031–0.044 [W/m. K]. Moreover, the minimum energy performance is observed for developed wool insulation with a performance of 30 (KWh/year.m2). The comparison of these values with the Moroccan thermal regulation which sets a threshold of 40 (kWh/year.m2) for the annual thermal load of residential buildings in the climatic zone of Casablanca, shows that the feather waste insulation integrated into the building is mainly sufficient to meet the requirements of Moroccan regulations. Annual GHG emissions are mitigated by 44.61 for FC1, 46.54 for FC2, 47.95 for FC3, 46.59 for FW1, 46.99 for FW2 and 48.58 for FW3(%).
{"title":"Experimental and numerical investigation of eco-friendly materials for building envelope","authors":"O. Mrajji, S. Ouhaibi, M. Wazna, A. Bouari, N. Belouaggadia, M. Ezzine, R. Lbibb, O. Cherkaoui","doi":"10.1080/17512549.2021.1881615","DOIUrl":"https://doi.org/10.1080/17512549.2021.1881615","url":null,"abstract":"ABSTRACT This work aims to evaluate the impact of new materials on thermal performance and energy savings. Indeed, this study shows the importance of the use of natural and recycled waste-based feather materials. For this purpose, a full-scale cell located in Casablanca was considered as a case study to build a simulation model performed on TRNSYS. This model is then used for the impact of the techniques studied on energy performance, GHG emissions, and hours of discomfort inside another cell in Casablanca. This study showed that the developed nonwovens exhibit excellent insulation performance with thermal conductivity in the range of 0.031–0.044 [W/m. K]. Moreover, the minimum energy performance is observed for developed wool insulation with a performance of 30 (KWh/year.m2). The comparison of these values with the Moroccan thermal regulation which sets a threshold of 40 (kWh/year.m2) for the annual thermal load of residential buildings in the climatic zone of Casablanca, shows that the feather waste insulation integrated into the building is mainly sufficient to meet the requirements of Moroccan regulations. Annual GHG emissions are mitigated by 44.61 for FC1, 46.54 for FC2, 47.95 for FC3, 46.59 for FW1, 46.99 for FW2 and 48.58 for FW3(%).","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"347 - 370"},"PeriodicalIF":2.0,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2021.1881615","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46762391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-20DOI: 10.1080/17512549.2021.1873184
Haein Cho, Daniel Cabrera, M. Patel
ABSTRACT Hydraulic balancing is key to ensure proper operation of the heating system. When the heating system is not hydraulically balanced, heat is unevenly distributed across dwellings resulting in a wide temperature spread, overheating, and consequently, wastage of energy. In this paper, we study to which extent hydraulic imbalance affects the thermal energy demand of buildings. Furthermore, key variables and interactions that influence the thermal performance of buildings are identified. In the first part, a dataset, including building features, boiler capacity and energy consumption of 49 multifamily buildings in Geneva (Switzerland), is analysed. Applying regularization regression, we find that higher variation in indoor temperature leads to larger energy consumption. Buildings constructed before 1980, having large boiler capacity and large heated floor area, are more likely to be hydraulically imbalanced and to consume more energy, indicating higher energy saving potential from hydraulic balancing. The second part consists of a case study of four multifamily buildings in Geneva where hydraulic balancing was implemented. We monitor data associated with temperature levels and energy consumption and find that hydraulic balancing significantly reduces the temperature spread avoiding overheating. The yearly energy savings by hydraulic balancing at an outdoor temperature of 0°C are estimated at 9% in Geneva.
{"title":"Identification of criteria for the selection of buildings with elevated energy saving potentials from hydraulic balancing-methodology and case study","authors":"Haein Cho, Daniel Cabrera, M. Patel","doi":"10.1080/17512549.2021.1873184","DOIUrl":"https://doi.org/10.1080/17512549.2021.1873184","url":null,"abstract":"ABSTRACT Hydraulic balancing is key to ensure proper operation of the heating system. When the heating system is not hydraulically balanced, heat is unevenly distributed across dwellings resulting in a wide temperature spread, overheating, and consequently, wastage of energy. In this paper, we study to which extent hydraulic imbalance affects the thermal energy demand of buildings. Furthermore, key variables and interactions that influence the thermal performance of buildings are identified. In the first part, a dataset, including building features, boiler capacity and energy consumption of 49 multifamily buildings in Geneva (Switzerland), is analysed. Applying regularization regression, we find that higher variation in indoor temperature leads to larger energy consumption. Buildings constructed before 1980, having large boiler capacity and large heated floor area, are more likely to be hydraulically imbalanced and to consume more energy, indicating higher energy saving potential from hydraulic balancing. The second part consists of a case study of four multifamily buildings in Geneva where hydraulic balancing was implemented. We monitor data associated with temperature levels and energy consumption and find that hydraulic balancing significantly reduces the temperature spread avoiding overheating. The yearly energy savings by hydraulic balancing at an outdoor temperature of 0°C are estimated at 9% in Geneva.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"427 - 444"},"PeriodicalIF":2.0,"publicationDate":"2021-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2021.1873184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47326562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-13DOI: 10.1080/17512549.2021.1873183
Sara Atef, Nourhan Ismail, A. Eltawil
ABSTRACT Smart Home Energy Management Systems (HEMS) constitute a vital necessity for optimizing electricity usage and saving energy in smart grids. However, these systems rely on dynamic factors that are stochastic and difficult to predict, such as the load consumption and electricity prices. Therefore, constructing an efficient control system for residential buildings requires an accurate prediction process of the associated parameters. This paper proposes an integrated predictive control system that consists of both predictive model and Demand Response (DR) scheme to predict and control the daily electricity usage in the residential sector. First, a Long Short-Term Memory-based (LSTM) optimized predictive model is implemented for predicting both the hourly load consumption and electricity price for a typical smart home. Then, the predicted data are transmitted to a DR fuzzy logic-based controller that can optimally schedule the home appliances usage. In comparison with the state-of-the-art prediction techniques for the residential load consumption and electricity price, the proposed LSTM predictive model outperforms Linear Regression (LR), Decision Tree (DT), Support Vector Regression (SVR), and Ensembled Boosted Trees (EBT). Moreover, the proposed DR-FIS controller has shown good results in terms of reducing the electricity cost by selecting the optimal time schedule.
{"title":"A new fuzzy logic based approach for optimal household appliance scheduling based on electricity price and load consumption prediction","authors":"Sara Atef, Nourhan Ismail, A. Eltawil","doi":"10.1080/17512549.2021.1873183","DOIUrl":"https://doi.org/10.1080/17512549.2021.1873183","url":null,"abstract":"ABSTRACT Smart Home Energy Management Systems (HEMS) constitute a vital necessity for optimizing electricity usage and saving energy in smart grids. However, these systems rely on dynamic factors that are stochastic and difficult to predict, such as the load consumption and electricity prices. Therefore, constructing an efficient control system for residential buildings requires an accurate prediction process of the associated parameters. This paper proposes an integrated predictive control system that consists of both predictive model and Demand Response (DR) scheme to predict and control the daily electricity usage in the residential sector. First, a Long Short-Term Memory-based (LSTM) optimized predictive model is implemented for predicting both the hourly load consumption and electricity price for a typical smart home. Then, the predicted data are transmitted to a DR fuzzy logic-based controller that can optimally schedule the home appliances usage. In comparison with the state-of-the-art prediction techniques for the residential load consumption and electricity price, the proposed LSTM predictive model outperforms Linear Regression (LR), Decision Tree (DT), Support Vector Regression (SVR), and Ensembled Boosted Trees (EBT). Moreover, the proposed DR-FIS controller has shown good results in terms of reducing the electricity cost by selecting the optimal time schedule.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"16 1","pages":"262 - 280"},"PeriodicalIF":2.0,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2021.1873183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41621689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-30DOI: 10.1080/17512549.2020.1863858
M. Laskari, S. Karatasou, M. Santamouris, M. Assimakopoulos
ABSTRACT The understanding of energy-related occupant behaviour and its better reproduction in building energy analysis has recently become a primary field of interest. The combination of computing ease and the availability of big streams of high resolution building performance data enhance the ability to study this behaviour. In this context, data mining methods are increasingly employed. The aim of this study is to propose a data mining methodology for the characterization of heating behaviour in residential buildings. The methodology consists of two multivariate statistical analysis methods, namely Principal Component Analysis (PCA) followed by cluster analysis. The methods were applied on monitored gas consumption data of five dwellings in Italy. Findings support literature indicating that people heat their homes in different ways. It was found that households do not always follow a different heating schedule on weekends, have very different temperature preferences and operate the heating system at different hours during the day. In fact, some households may change heating practices over the heating season. The highlight of the proposed methodology is the insightful and simple way that PCA can extract succinct information about the heating behaviour of the user.
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