Pub Date : 2019-11-06DOI: 10.1080/17512549.2019.1688186
L. Juanicó
ABSTRACT This work presents a simple dynamical solar-thermal modelling and cost-optimized solution for heating houses in maritime climates by using many vacuum-tube solar collectors together with one small well-insulated aboveground water tank and the underfloor hot-water heating system. This was performed for a single house in the cold-maritime climate of Bariloche (13,000 kWh/y), which could be fully satisfied by using ten collectors on 70°-inclined roof and 4.6 m3 tank, costing €12,900. This cost is noticeably lower than for previous large projects in cold-continental climates, what is supported by four key factors: (1) solar resource and heating demand in maritime climates are more distributed than in continental climates; (2) small aboveground tanks can get noticeably higher efficiencies and lower costs that huge underground tanks; (3) vacuum-tube collectors get higher performances than flat collectors during winters; (4) high winter solar yield is achieved by installing collectors on high tilt angles (or half on low-inclined roofs and half on walls). These four factors will be discussed by solar-thermal and cost analyses, by comparing the system performance for climatic conditions of Bariloche and Okotoks.
{"title":"Heating houses by using vacuum-tube solar collectors and a small aboveground water tank: a cost-effective solution for maritime climates","authors":"L. Juanicó","doi":"10.1080/17512549.2019.1688186","DOIUrl":"https://doi.org/10.1080/17512549.2019.1688186","url":null,"abstract":"ABSTRACT This work presents a simple dynamical solar-thermal modelling and cost-optimized solution for heating houses in maritime climates by using many vacuum-tube solar collectors together with one small well-insulated aboveground water tank and the underfloor hot-water heating system. This was performed for a single house in the cold-maritime climate of Bariloche (13,000 kWh/y), which could be fully satisfied by using ten collectors on 70°-inclined roof and 4.6 m3 tank, costing €12,900. This cost is noticeably lower than for previous large projects in cold-continental climates, what is supported by four key factors: (1) solar resource and heating demand in maritime climates are more distributed than in continental climates; (2) small aboveground tanks can get noticeably higher efficiencies and lower costs that huge underground tanks; (3) vacuum-tube collectors get higher performances than flat collectors during winters; (4) high winter solar yield is achieved by installing collectors on high tilt angles (or half on low-inclined roofs and half on walls). These four factors will be discussed by solar-thermal and cost analyses, by comparing the system performance for climatic conditions of Bariloche and Okotoks.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"199 - 222"},"PeriodicalIF":2.0,"publicationDate":"2019-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1688186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45514857","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 : 2019-10-30DOI: 10.1080/17512549.2019.1684364
G. Pérez, V. R. Allegro, Carmen Alonso, Fernando Martín-Consuegra, I. Oteiza, B. Frutos, A. Guerrero
ABSTRACT An innovative system based on the Trombe Wall concept is under development to improve energy efficiency in buildings in different climatic conditions. The system takes advantage of the variable optical properties of a thermochromic mortar coating on the façade to optimize thermal behaviour. The mortar is based on the addition of organic thermochromic pigments to the cementitious matrix and is characterized by a high solar reflectance for temperatures higher than a nominal colour change value (Tc) and a low solar reflectance for lower temperatures. Materials potentially useful for this innovative system were analysed in this work. As prepared thermochromic mortar specimens, mortar specimens coated with different UV protecting products and mortar specimens covered by filter glasses with different optical responses were exposed to controlled outdoor environmental conditions during several days. Surface and environmental temperatures were monitored during the experiment. Moreover, reflectance spectra of the samples were recorded every day early in the morning, when the environmental temperature is significantly lower than Tc, and in the afternoon, when it is significantly higher than this value. Most suitable materials for the intended application were defined from an analysis of the optical and thermal properties of these specimens and their durability.
{"title":"Selection of suitable materials for the development of an innovative thermochromic Trombe wall","authors":"G. Pérez, V. R. Allegro, Carmen Alonso, Fernando Martín-Consuegra, I. Oteiza, B. Frutos, A. Guerrero","doi":"10.1080/17512549.2019.1684364","DOIUrl":"https://doi.org/10.1080/17512549.2019.1684364","url":null,"abstract":"ABSTRACT An innovative system based on the Trombe Wall concept is under development to improve energy efficiency in buildings in different climatic conditions. The system takes advantage of the variable optical properties of a thermochromic mortar coating on the façade to optimize thermal behaviour. The mortar is based on the addition of organic thermochromic pigments to the cementitious matrix and is characterized by a high solar reflectance for temperatures higher than a nominal colour change value (Tc) and a low solar reflectance for lower temperatures. Materials potentially useful for this innovative system were analysed in this work. As prepared thermochromic mortar specimens, mortar specimens coated with different UV protecting products and mortar specimens covered by filter glasses with different optical responses were exposed to controlled outdoor environmental conditions during several days. Surface and environmental temperatures were monitored during the experiment. Moreover, reflectance spectra of the samples were recorded every day early in the morning, when the environmental temperature is significantly lower than Tc, and in the afternoon, when it is significantly higher than this value. Most suitable materials for the intended application were defined from an analysis of the optical and thermal properties of these specimens and their durability.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"146 - 160"},"PeriodicalIF":2.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1684364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43447303","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 : 2019-10-30DOI: 10.1080/17512549.2019.1684365
Fernando Martín-Consuegra, Carmen Alonso, G. Pérez, B. Frutos, A. Guerrero, I. Oteiza
ABSTRACT Most of the existing buildings in Spain lack any thermal insulation in their envelope. They are in urgent need to be refurbished to reduce their energy consumption. The standard solution for the rehabilitation of facades is to incorporate thermal insulation materials to reduce heat transmission. This work proposes an extension of the conventional approach: the installation of Trombe walls on sunny facades incorporating an outer layer of thermochromic mortar, the thermochromic Trombe wall (TTW). This improves the energy performance of the existing buildings by enhancing their solar gains. This paper describes the design and configuration of the new TTW system. While traditional solutions can be evaluated with a simple heat transfer equation, a complex energy model is needed to evaluate TTW. Energy simulation is used to determine parameters that influence thermal performance. Thermochromic mortar transition temperature is designed to achieve maximum efficiency. The results obtained from the parametric study were used to determine the aspects of the construction of the first prototype on a laboratory test cell. The information obtained from the experiment will be used for the calibration of the energy model that will establish the potential for the incorporation of the TTW to the existing buildings.
{"title":"Design, optimization and construction of a prototype for a thermochromic Trombe wall","authors":"Fernando Martín-Consuegra, Carmen Alonso, G. Pérez, B. Frutos, A. Guerrero, I. Oteiza","doi":"10.1080/17512549.2019.1684365","DOIUrl":"https://doi.org/10.1080/17512549.2019.1684365","url":null,"abstract":"ABSTRACT Most of the existing buildings in Spain lack any thermal insulation in their envelope. They are in urgent need to be refurbished to reduce their energy consumption. The standard solution for the rehabilitation of facades is to incorporate thermal insulation materials to reduce heat transmission. This work proposes an extension of the conventional approach: the installation of Trombe walls on sunny facades incorporating an outer layer of thermochromic mortar, the thermochromic Trombe wall (TTW). This improves the energy performance of the existing buildings by enhancing their solar gains. This paper describes the design and configuration of the new TTW system. While traditional solutions can be evaluated with a simple heat transfer equation, a complex energy model is needed to evaluate TTW. Energy simulation is used to determine parameters that influence thermal performance. Thermochromic mortar transition temperature is designed to achieve maximum efficiency. The results obtained from the parametric study were used to determine the aspects of the construction of the first prototype on a laboratory test cell. The information obtained from the experiment will be used for the calibration of the energy model that will establish the potential for the incorporation of the TTW to the existing buildings.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"161 - 178"},"PeriodicalIF":2.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1684365","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45866118","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 : 2019-10-30DOI: 10.1080/17512549.2019.1684366
S. Heibati, W. Maref, H. Saber
ABSTRACT Capturing the solar radiation that passed through the Earth’s atmosphere and received by solar panels depends on several parameters. In this paper, all governing parameters of the total daily solar radiation are provided in mathematical relations. In the first stage, the mathematical model is converted to a computer-based model by using the MathCAD program. In the second stage, however, the control variables, tilt angles, surface azimuth angles, day of year, and ground reflectance are identified. Based on the total daily solar radiation objective function, three scenarios are proposed in this study for different situations of variation of control variables. In the final stage the optimization flowchart is designed for the optimum daily tilt angle. The model’s innovation to simultaneously analyze the mean effects of control variables on the dynamic and optimum tilt angles simulation was designed based on 3 scenarios for a PV solar system of the building in Montreal in different seasons. After analyzing the correlation among the scenarios, values of the average optimum tilt angles for each scenario are simulated in angle ranges of 60° to 65° for the winter, 20° to 22.5° for the spring, 27.5° to 35° for the summer, and 68° to 75° for fall.
{"title":"Developing a model for predicting optimum daily tilt angle of a PV solar system at different geometric, physical and dynamic parameters","authors":"S. Heibati, W. Maref, H. Saber","doi":"10.1080/17512549.2019.1684366","DOIUrl":"https://doi.org/10.1080/17512549.2019.1684366","url":null,"abstract":"ABSTRACT Capturing the solar radiation that passed through the Earth’s atmosphere and received by solar panels depends on several parameters. In this paper, all governing parameters of the total daily solar radiation are provided in mathematical relations. In the first stage, the mathematical model is converted to a computer-based model by using the MathCAD program. In the second stage, however, the control variables, tilt angles, surface azimuth angles, day of year, and ground reflectance are identified. Based on the total daily solar radiation objective function, three scenarios are proposed in this study for different situations of variation of control variables. In the final stage the optimization flowchart is designed for the optimum daily tilt angle. The model’s innovation to simultaneously analyze the mean effects of control variables on the dynamic and optimum tilt angles simulation was designed based on 3 scenarios for a PV solar system of the building in Montreal in different seasons. After analyzing the correlation among the scenarios, values of the average optimum tilt angles for each scenario are simulated in angle ranges of 60° to 65° for the winter, 20° to 22.5° for the spring, 27.5° to 35° for the summer, and 68° to 75° for fall.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"179 - 198"},"PeriodicalIF":2.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1684366","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44753316","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 : 2019-08-25DOI: 10.1080/17512549.2019.1654917
Ruijun Zhang, Y. Gan, P. Mirzaei
ABSTRACT Understanding of cell temperature of Building Integrated Photovoltaics (BIPV) is essential in the calculation of their conversion efficiency, durability and installation costs. Current PV cell temperature models mainly fail to provide accurate predictions in complex arrangement of BIPVs under various climatic conditions. To address this limitation, this paper proposes a new regression model for prediction of the BIPV cell temperature in various climates and design conditions, including the effects of relative PV position to the roof edge, solar radiation intensity, wind speed, and wind direction. To represent the large number of possible climatic and design scenarios, the advanced technique of Latin Hypercube Sampling was firstly utilized to reduce the number of investigated scenarios from 13,338 to 374. Then, a high-resolution validated full-scale 3-dimensional Computational Fluid Dynamics (CFD) microclimate model was developed for modelling of BIPV’s cell temperature, and then was applied to model all the reduced scenarios. A nonlinear multivariable regression model was afterward fit to this population of 374 sets of CFD simulations. Eventually, the developed regression model was evaluated with new sets of unused climatic and design data when a high agreement with a mean discrepancy of 3% between the predicted and simulated BIPV cell temperatures was observed.
{"title":"A new regression model to predict BIPV cell temperature for various climates using a high-resolution CFD microclimate model","authors":"Ruijun Zhang, Y. Gan, P. Mirzaei","doi":"10.1080/17512549.2019.1654917","DOIUrl":"https://doi.org/10.1080/17512549.2019.1654917","url":null,"abstract":"ABSTRACT Understanding of cell temperature of Building Integrated Photovoltaics (BIPV) is essential in the calculation of their conversion efficiency, durability and installation costs. Current PV cell temperature models mainly fail to provide accurate predictions in complex arrangement of BIPVs under various climatic conditions. To address this limitation, this paper proposes a new regression model for prediction of the BIPV cell temperature in various climates and design conditions, including the effects of relative PV position to the roof edge, solar radiation intensity, wind speed, and wind direction. To represent the large number of possible climatic and design scenarios, the advanced technique of Latin Hypercube Sampling was firstly utilized to reduce the number of investigated scenarios from 13,338 to 374. Then, a high-resolution validated full-scale 3-dimensional Computational Fluid Dynamics (CFD) microclimate model was developed for modelling of BIPV’s cell temperature, and then was applied to model all the reduced scenarios. A nonlinear multivariable regression model was afterward fit to this population of 374 sets of CFD simulations. Eventually, the developed regression model was evaluated with new sets of unused climatic and design data when a high agreement with a mean discrepancy of 3% between the predicted and simulated BIPV cell temperatures was observed.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"14 1","pages":"527 - 549"},"PeriodicalIF":2.0,"publicationDate":"2019-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1654917","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48082267","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 : 2019-08-18DOI: 10.1080/17512549.2019.1654918
Hamed Eshraghi, M. Ansari, Shahab Moshari, J. Gholami
ABSTRACT In order to achieve a more accurate prediction of future electrical energy consumption, the present research considers a long-term study of the climatic conditions of Iran for the top 82 most densely populated cities. For each city, heating degree-days (HDD) and cooling degree-days (CDD), precipitation, climatic zones classification, and an average temperature of coldest and warmest months are used as measures for the study. Subsequently, for the four most densely cities, the climate change during the past 60 years (1959–2018) has been investigated. Results show that CDD values for all cities have increased gradually in the same period, while HDD values have decreased. According to linear interpolation, average daily CDD 24°C in the year 2025 for Tehran is estimated as 1.903 (694.595 yearly). Furthermore, based on multiple linear regression analysis, the PCD for Tehran, Mashhad, Shiraz, Tabriz, Isfahan, and Kermanshah will change by 0.5%, 2.3%, 4.7%, 1.9%, 3.4% and −5.3% by the year 2030, respectively. It is also worth mentioning that the precipitation and Humidity have an inverse relation with PCD. Also, the effect of base temperature on CDD and HDD showed that only one-degree change in the base temperature could cause a significant change in CDD and HDD.
{"title":"Climatic zoning and per capita demand forecast of Iran using degree-day method","authors":"Hamed Eshraghi, M. Ansari, Shahab Moshari, J. Gholami","doi":"10.1080/17512549.2019.1654918","DOIUrl":"https://doi.org/10.1080/17512549.2019.1654918","url":null,"abstract":"ABSTRACT In order to achieve a more accurate prediction of future electrical energy consumption, the present research considers a long-term study of the climatic conditions of Iran for the top 82 most densely populated cities. For each city, heating degree-days (HDD) and cooling degree-days (CDD), precipitation, climatic zones classification, and an average temperature of coldest and warmest months are used as measures for the study. Subsequently, for the four most densely cities, the climate change during the past 60 years (1959–2018) has been investigated. Results show that CDD values for all cities have increased gradually in the same period, while HDD values have decreased. According to linear interpolation, average daily CDD 24°C in the year 2025 for Tehran is estimated as 1.903 (694.595 yearly). Furthermore, based on multiple linear regression analysis, the PCD for Tehran, Mashhad, Shiraz, Tabriz, Isfahan, and Kermanshah will change by 0.5%, 2.3%, 4.7%, 1.9%, 3.4% and −5.3% by the year 2030, respectively. It is also worth mentioning that the precipitation and Humidity have an inverse relation with PCD. Also, the effect of base temperature on CDD and HDD showed that only one-degree change in the base temperature could cause a significant change in CDD and HDD.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"683 - 708"},"PeriodicalIF":2.0,"publicationDate":"2019-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1654918","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49186297","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 : 2019-08-16DOI: 10.1080/17512549.2019.1654916
L. Azevedo, Ricardo Gomes, C. Silva
ABSTRACT The European Directive 2018/844 proposes 2050 as the year to stablish ‘a sustainable, (…) and decarbonized energy system’. The Directive points the way at the Member state level, proposing the improvement of the building stock, and the development of advisory tools to the building retrofit. This paper focused in the analysis of different inputs accuracy on the outputs of building energy simulation (BES) models, and its influence on thermal comfort and on the evaluation of retrofit solutions, concerning a Portuguese household. The methodology considered the comparison of different BES models considering three accuracy inputs levels. The first model considers default values from legislation and standards, the second considers detailed information from audit visits, and the third model considers the inputs defined after a calibration process using sensitivity analysis and optimization techniques. Furthermore, a retrofit analysis was performed by considering the multi-objective optimization of a surrogate model. From the calibration process, it was concluded that the thermal discomfort evaluation differs with the inputs’ accuracy. Moreover, the optimization suggests that the inputs’ accuracy also affects the optimal retrofit solutions. This approach helped to understand the influence of the inputs’ accuracy levels and the advantages of considering surrogate models to study residential retrofit.
{"title":"Influence of model calibration and optimization techniques on the evaluation of thermal comfort and retrofit measures of a Lisbon household using building energy simulation","authors":"L. Azevedo, Ricardo Gomes, C. Silva","doi":"10.1080/17512549.2019.1654916","DOIUrl":"https://doi.org/10.1080/17512549.2019.1654916","url":null,"abstract":"ABSTRACT The European Directive 2018/844 proposes 2050 as the year to stablish ‘a sustainable, (…) and decarbonized energy system’. The Directive points the way at the Member state level, proposing the improvement of the building stock, and the development of advisory tools to the building retrofit. This paper focused in the analysis of different inputs accuracy on the outputs of building energy simulation (BES) models, and its influence on thermal comfort and on the evaluation of retrofit solutions, concerning a Portuguese household. The methodology considered the comparison of different BES models considering three accuracy inputs levels. The first model considers default values from legislation and standards, the second considers detailed information from audit visits, and the third model considers the inputs defined after a calibration process using sensitivity analysis and optimization techniques. Furthermore, a retrofit analysis was performed by considering the multi-objective optimization of a surrogate model. From the calibration process, it was concluded that the thermal discomfort evaluation differs with the inputs’ accuracy. Moreover, the optimization suggests that the inputs’ accuracy also affects the optimal retrofit solutions. This approach helped to understand the influence of the inputs’ accuracy levels and the advantages of considering surrogate models to study residential retrofit.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"630 - 661"},"PeriodicalIF":2.0,"publicationDate":"2019-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1654916","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45346916","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 : 2019-07-05DOI: 10.1080/17512549.2019.1639075
Joao Carneiro, Ashrant Aryal, B. Becerik-Gerber
ABSTRACT In addition to its influence on lighting energy consumption, lighting systems also impact the cooling and heating energy consumption, which originates from the use of artificial lighting and/or blinds. In this paper, we focus on understanding participants’ lighting choices and the influence of user’s lighting choices on energy consumption. We conducted an experiment using an immersive virtual environment in a single occupancy office and collected 120 participants’ choices, of which 60 participants were placed in a north facing office and the other 60 participants were placed in a south facing office. The participants were asked to select their desired room lighting setting at 9am, 1pm and 5pm. The results indicate that the choices were dependent on the room conditions. The time-of-day influenced blind use choices in both orientations, however, it was a significant factor influencing lighting choices in the south facing office. In addition, participants’ choices resulted in less energy consumption than the baseline settings in EnergyPlus, since the maximum lighting option was rarely used. The influence of office orientation, and time-of-day also influenced the energy savings, with the north facing office saving more energy than the south facing office based on the participants’ choices.
{"title":"Understanding the influence of orientation, time-of-day and blind use on user’s lighting choices and energy consumption using immersive virtual environments","authors":"Joao Carneiro, Ashrant Aryal, B. Becerik-Gerber","doi":"10.1080/17512549.2019.1639075","DOIUrl":"https://doi.org/10.1080/17512549.2019.1639075","url":null,"abstract":"ABSTRACT In addition to its influence on lighting energy consumption, lighting systems also impact the cooling and heating energy consumption, which originates from the use of artificial lighting and/or blinds. In this paper, we focus on understanding participants’ lighting choices and the influence of user’s lighting choices on energy consumption. We conducted an experiment using an immersive virtual environment in a single occupancy office and collected 120 participants’ choices, of which 60 participants were placed in a north facing office and the other 60 participants were placed in a south facing office. The participants were asked to select their desired room lighting setting at 9am, 1pm and 5pm. The results indicate that the choices were dependent on the room conditions. The time-of-day influenced blind use choices in both orientations, however, it was a significant factor influencing lighting choices in the south facing office. In addition, participants’ choices resulted in less energy consumption than the baseline settings in EnergyPlus, since the maximum lighting option was rarely used. The influence of office orientation, and time-of-day also influenced the energy savings, with the north facing office saving more energy than the south facing office based on the participants’ choices.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"15 1","pages":"603 - 629"},"PeriodicalIF":2.0,"publicationDate":"2019-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1639075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44732760","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 : 2019-07-03DOI: 10.1080/17512549.2017.1421099
Q. Darakdjian, S. Billé, C. Inard
ABSTRACT Occupant behaviour is now widely recognized as a major factor in the disparity between predicted and measured building performance. Stochastic models are a convenient way to model the rational, diverse and complex nature of occupant behaviour, including presence and adaptive behaviour. The FMI standard was used to co-simulate the building energy modelling program EnergyPlus and a multi-agent platform that contains stochastic models in an integrated environment. Using an office building as a case study, we show that data mining, through a correlation matrix and a principal component analysis, was an efficient way of investigating the cumulated influence of occupant behaviour on energy performance. The organisation of simulations was achieved using design of experiments in order to take into consideration multiple building configurations. This paper demonstrates how data mining of stochastic simulations can be used to identify the determinants that have the greatest influence on building energy needs.
{"title":"Data mining of building performance simulations comprising occupant behaviour modelling","authors":"Q. Darakdjian, S. Billé, C. Inard","doi":"10.1080/17512549.2017.1421099","DOIUrl":"https://doi.org/10.1080/17512549.2017.1421099","url":null,"abstract":"ABSTRACT Occupant behaviour is now widely recognized as a major factor in the disparity between predicted and measured building performance. Stochastic models are a convenient way to model the rational, diverse and complex nature of occupant behaviour, including presence and adaptive behaviour. The FMI standard was used to co-simulate the building energy modelling program EnergyPlus and a multi-agent platform that contains stochastic models in an integrated environment. Using an office building as a case study, we show that data mining, through a correlation matrix and a principal component analysis, was an efficient way of investigating the cumulated influence of occupant behaviour on energy performance. The organisation of simulations was achieved using design of experiments in order to take into consideration multiple building configurations. This paper demonstrates how data mining of stochastic simulations can be used to identify the determinants that have the greatest influence on building energy needs.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"13 1","pages":"157 - 173"},"PeriodicalIF":2.0,"publicationDate":"2019-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2017.1421099","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48388178","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 : 2019-07-03DOI: 10.1080/17512549.2019.1650477
Ke Ma, Yangan Huang, Feihu Chen, Jun Zou
{"title":"Correction","authors":"Ke Ma, Yangan Huang, Feihu Chen, Jun Zou","doi":"10.1080/17512549.2019.1650477","DOIUrl":"https://doi.org/10.1080/17512549.2019.1650477","url":null,"abstract":"","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"13 1","pages":"316 - 316"},"PeriodicalIF":2.0,"publicationDate":"2019-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17512549.2019.1650477","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41351430","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}
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