Advances in Building Energy Research最新文献

{"title":"Identifying building archetypes based on energy performance as the major criteria: a case of Jaipur, India","authors":"Bibhu Kalyan Nayak, S. K. Sansaniwal, Jyotirmay Mathur, T. Chandra, V. Garg","doi":"10.1080/17512549.2023.2217204","DOIUrl":"https://doi.org/10.1080/17512549.2023.2217204","url":null,"abstract":"ABSTRACT The demand for energy in residential structures is set to outstrip the supply soon. Most studies rely on national databases or previously published datasets. It is crucial to approach this topic using a bottom-up methodology. Therefore, this research aims to analyse the energy consumption pattern of residential buildings in Jaipur by utilizing primary datasets. The present study takes Jaipur as a case study and proposes a way to define architectural archetypes in Indian towns based on their energy efficiency. The collection and analysis of 2,327 primary data samples included energy use statistics and socioeconomic information. This research applies multivariate analysis in a bottom-up manner to a primary database. The clustering method was utilized to determine the energy consumption of Indian families in Jaipur. Low- and middle-income families tend to purchase more appliances when their income increases, yet their energy usage does not increase proportionally. Therefore, residential building standards should not solely be based on per-square-foot energy consumption. This study can help develop energy policies, benchmark energy use, establish tariff structures, determine minimum levels for starting labelling programmes, and create incentive plans based on energy efficiency.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"440 - 465"},"PeriodicalIF":2.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45990818","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}

{"title":"Analysis of parametric optimization on the design of negative pressure room","authors":"Ghaim Man Oo, K. Kotmool, M. Mongkolwongrojn","doi":"10.1080/17512549.2023.2215789","DOIUrl":"https://doi.org/10.1080/17512549.2023.2215789","url":null,"abstract":"ABSTRACT Negative pressure rooms are crucial for the prevention of the dispersion of infectious diseases. Using the ANSYS-Fluent finite volume method (FVM), standard k ϵ turbulent, species transport, and discrete phase model with the transient condition, this research aims to reduce the amount of airborne contamination inside the negative pressure room. In the current design, both 10 area ratios and static supply pressures 1 – 30 Pa are considered. The optimum condition is reached at an area ratio of 9 and 13 Air change per hours (ACHs) with a 96% reduction in CO2 concentration and an exhaust velocity of 3 m/s and a minimum power consumption of 247 W at a supply pressure of ( 10) Pa. The effective direct airflow pattern is observed as a safe environment by analyzing the streamlines and velocity vector distributions. To prevent the infectious viruses spread, the particle tracking of coughed droplets is analyzed so that 100% of aerosol particles can be extracted within 3 s. The door-opening effect showed that the desired negative pressure could be maintained even if the door opened for a long time. This work will benefit the design engineers for any intended negative pressure room and provide a secure working environment for the medical personnel.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"412 - 439"},"PeriodicalIF":2.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46825451","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}

{"title":"Energy savings strategy for the residential sector in Libya and its impacts on the global environment and the nation economy","authors":"M. Abdunnabi, Najmi Etiab, Y. Nassar, H. El-khozondar, Rohit Khargotra","doi":"10.1080/17512549.2023.2209094","DOIUrl":"https://doi.org/10.1080/17512549.2023.2209094","url":null,"abstract":"ABSTRACT The energy consumption of the Libyan common house is estimated through the use of simulation namely, the TRNSYS simulation programme and other tools to reach the best solutions with the assumption of changing the behaviours of those buildings occupants into better behaviours that help in energy conservation. Using official data from The Ministry of Electricity and Renewable Energy, the Ministry of Housing and Utility, the Centre for Solar Energy Research and Studies (CSERS), measurements and a survey using a well-designed questionnaire, the relevant information is gathered and the research is conducted. The energy audit of the typical home has been conducted by using the simulation programme ‘TRNSYS’ and other tools, to identify the role and weight of each source of energy consumption in the energy savings strategy. The study provided a detailed analysis of the thermal and electrical consumption in Libyan houses. The energy audit showed that the total energy consumption was found about 16,500 kWh/year, and it is distributed by sources as 36% by electrical appliances, 24% by lighting the interior space, 15% for water heating, and about 13% for both cooling and heating the space. The estimated specific energy consumption is found as 238.7 kWh/m2 floor area. As a result, it is found that it is possible to save over 6650 TWh of electrical energy by implementing the proposed strategic plan. These savings will have a positive impact on both the economy and the environment by reducing CO2 emissions from power plants by 6.54 million tonnes of CO2 per year, saving about 1.935 million tons of burning Diesel fuel and saving about $333.54 million as social cost of the CO2. Highlights Identified the common Libyan home. Provided an inventory of electrical appliances and operating regime. Determined the specific energy consumption for the residential buildings in Libya. Determined the thermal and electrical load for the dwelling sector in Libya. Proposed a strategy to reduce energy waste in the dwelling sector. Estimated the environment and economic savings due to the implementation of the proposed strategy.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"379 - 411"},"PeriodicalIF":2.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44253904","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}

{"title":"A survey of intelligent building automation with machine learning and IoT","authors":"Mona Masroor, J. Rezazadeh, J. Ayoade, M. Aliehyaei","doi":"10.1080/17512549.2023.2208117","DOIUrl":"https://doi.org/10.1080/17512549.2023.2208117","url":null,"abstract":"ABSTRACT The growth of intelligent buildings in smart cities that are equipped with smart devices based on the Internet of Things (IoT) is because of the advancement of technologies in the digital world. Intelligent buildings have a positive effect on the comfort of people's lives. The integration of IoT technology and machine learning is the output of a comfortable and intelligent building. The integration of the two technologies changes ordinary buildings to become smart; cost-effective; reduces energy loss, increases safety; and provides comfort and health to the people that could afford such houses. This paper will focus on different kinds of sensors that are used in intelligent buildings. Furthermore, the sensors will be categorized and compared. Finally, the types of machine learning algorithms and their objectives in intelligent buildings will be described. The purpose of this paper is to provide a comprehensive review of intelligent buildings and their concepts and to provide an overview of machine learning, communication, and its main challenges in intelligent buildings.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"345 - 378"},"PeriodicalIF":2.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42116671","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}

{"title":"Development of an optimization model for decision-making in building retrofit projects using RETROSIM","authors":"E. Asadi, B. Chenari, A. Gaspar, Manuel Carlos Gameiro da Silva","doi":"10.1080/17512549.2023.2204872","DOIUrl":"https://doi.org/10.1080/17512549.2023.2204872","url":null,"abstract":"ABSTRACT Nearly-zero energy buildings are standard for new constructions in the European Union. The challenge for decarbonized cities is retrofitting the existing buildings. Retrofitting the existing buildings provides considerable opportunities for improving occupants’ comfort and reducing global energy consumption and greenhouse gas emissions. Building retrofit is being considered one of the main approaches to achieve sustainability in the built environment at relatively low-cost and high-uptake rates. Although a broad range of retrofit technologies are readily available, methods to ascertain the most suitable set of retrofit actions for specific projects are still a practical challenge. This article first aims to develop and present a simulation-based multi-objective optimization model, named RETROSIM, to quantitatively assess technology choices in a building retrofit project. RETROSIM is a combination of a building energy simulation model and RETROSIM proprietary optimization engine. Secondly, in this study, RETROSIM is used to evaluate a building retrofit project as a case study to show the functionality of the proposed method. The study initiates with the single optimization of objective functions focusing on the building’s characteristics and performance: primary energy consumption, global costs and thermal discomfort hours. Then this methodology is used to study the interaction between these conflicting objectives and evaluate their trade-offs.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"324 - 344"},"PeriodicalIF":2.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48868847","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}

{"title":"Thermal comfort assessment during summer in rural Indian kitchens in tropical regions","authors":"C. Pal, Nisha Netam, M. Manish","doi":"10.1080/17512549.2023.2204341","DOIUrl":"https://doi.org/10.1080/17512549.2023.2204341","url":null,"abstract":"ABSTRACT Several past studies have shown that occupants in a house generally feel more uncomfortable during the summer season. In kitchens, which are an integral part of the rural household, the environment inside is usually warmer than the room temperature. In the present work, a thermal comfort survey and experimental data collection have been conducted simultaneously in several residential kitchens in the rural areas of Raipur, India, during the summer season to assess the thermal comfort conditions of the subjects. A linear regression analysis has been done to determine the comfort band which is then compared with past data available in the literature. The results highlight the lack of proper airflow motion, insufficient ventilation, location of the cooking platform, and small sizes of the kitchen as some of the main design drawbacks of rural household kitchens. The current study conducted will help researchers to formulate design strategies to enhance the thermal comfort condition of subjects in such kitchens.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"303 - 323"},"PeriodicalIF":2.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48987474","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}

{"title":"Grey Wolf algorithmic framework for building energy optimization in India's Köppen-Geiger climatic zones","authors":"S. Chaturvedi, R. Elangovan","doi":"10.1080/17512549.2023.2184422","DOIUrl":"https://doi.org/10.1080/17512549.2023.2184422","url":null,"abstract":"ABSTRACT Grey Wolf Optimization (GWO) is an emerging evolutionary metaheuristic technique capable of solving challenging engineering problems. Despite its growing popularity, GWO's suitability for building design problems remains unexplored. This paper presents a novel algorithmic framework using EnergyPlus, EPLauncher and Matlab to implement a single and bi-objective GWO for building energy optimization. The goal is to identify optimal wall and window type, orientation, air conditioner's operational profiles and cooling setpoints consistent with minimum annual and peak cooling energy demands for a residential apartment building in five Köppen-Geiger climate zones across India. In place of testing the entire parametric space involving 5,76,000 possibilities, GWO identifies the optimal solutions inside 1250 trials (∼99% run reduction). The single and bi-objective GWO produces (83-97)% and (75-95)% annual and peak cooling demand reductions than a typical construction and operation scenario in the five climate zones. The optimized solutions recommend low thermal transmittance-high capacitance wall sections, 10–15% window-to-wall ratios and double glazed windows with a low solar gain coefficient. Further, optimal air conditioner operational parameters (setpoint and duration) are identified. The presented algorithmic framework is highly robust and can integrate can incorporate upcoming metaheuristic algorithms to perform single and multiobjective building energy optimizations.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"277 - 302"},"PeriodicalIF":2.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49205351","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}

{"title":"Building-integrated solar photovoltaic thermal (BIPVT) technology: a review on the design innovations, aesthetic values, performance limits, storage options and policies","authors":"M. Chandrasekar","doi":"10.1080/17512549.2023.2185675","DOIUrl":"https://doi.org/10.1080/17512549.2023.2185675","url":null,"abstract":"ABSTRACT Compared to the existing literature review on the photovoltaic thermal (PVT) technique, very few review articles on building integrated solar photovoltaic thermal (BIPVT) were reported and this prompted us to present a review of BIPVT literature. The objectives of the present review are to classify the time line of evolution of various designs of BIPVT systems, to quantify the aesthetic value of BIPVT devices, to identify threshold limits of performance and useful computer-based tools available to carry out their performance analysis, to recognize the technical aspects to be considered during the selection of a particular energy storage option and to explain the various policy scenarios. The present review revealed the existence of 3-time regimes of the evolution of the design of BIPVT systems and a higher aesthetic value of 0.5 was observed for façade mounted BIPVT design. The review also indicated that the threshold limit of thermal and electrical efficiency of the BIPVT system was about 80% and 20%, respectively. A variety of PCM-based thermal energy storage materials were proposed compared to other energy storage options. Policy measures undertaken under various policy scenarios were also highlighted in this review.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"223 - 254"},"PeriodicalIF":2.0,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44683876","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}

{"title":"Screening of thermal characteristics and assessment of comparative energy efficiency potential in a residential district","authors":"V. Milić, P. Rohdin","doi":"10.1080/17512549.2023.2183522","DOIUrl":"https://doi.org/10.1080/17512549.2023.2183522","url":null,"abstract":"ABSTRACT By identifying buildings with poor thermal performance and prioritizing these in terms of energy efficiency potential, a sustainable transformation of the building stock may be accelerated. However, there is currently a lack of thermal characteristics (TCs) differentiating total energy use from hot water circulation (HWC), hot tap water (HTW) and space heating in large building portfolios. This research demonstrates a methodology based on a change-point model for identifying and prioritizing TCs, which also enables prediction of the Comparative Energy Efficiency Potential (CEEP). The change-point model allows for the differentiation of various processes, i.e. space heating, HWC and HTW, using only heating supply data and outdoor temperature. The studied district consists of 70 multi-family buildings in the Vasastaden district in Linköping, Sweden. The findings demonstrate that the proposed methodology allows for identifying and prioritizing TCs connected to HWC, HTW and space heating. The highest CEEP is in space heating, corresponding to a maximum of 2,016 MWh (16% of the district’s energy use), followed by HWC, 699 MWh (6% of the district’s energy use) and HTW, 520 MWh (4% of the district’s energy use). Consequently, a total decrease of 3,235 MWh (26%) is made possible according to the studied energy efficiency targets. HIGHLIGHTS A methodology for the prediction of the Comparative Energy Efficiency Potential (CEEP) in a building portfolio based on the identification and prioritization of TCs is proposed The study is enabled by the use of a unique change-point model (DTPC) for differentiating TCs solely from digital heating supply data and outdoor temperature 70 multi-family buildings (total heated area of 121,692 m2) in the Vasastaden district in Linköping, Sweden, are investigated The methodology is successful in identifying and prioritizing TCs related to HWC, HTW and space heating The highest CEEP is in space heating calculated at a maximum of 2016 MWh, which corresponds to 16% of the district’s total energy use","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"255 - 276"},"PeriodicalIF":2.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48806854","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}

{"title":"Developing an IoT-based electrochromic windows for smart buildings","authors":"A. Khatibi, M. Jahangir, F. R. Astaraei","doi":"10.1080/17512549.2023.2175371","DOIUrl":"https://doi.org/10.1080/17512549.2023.2175371","url":null,"abstract":"ABSTRACT Different solutions have been investigated to reduce energy consumption in buildings in recent years. The use of smart windows to change the solar irradiation entering the building and to reject the solar heat has been one of these approaches. An IoT-based smart electrochromic window was created for this study, and both its technical stability and functionality were assessed in a laboratory environment. For six cities in different climate classes in Iran in 2019, simulations revealed that the indoor horizontal illuminance had a higher priority than the temperature in controlling the transparency of the windows during the first six months of the year. And it resulted in an average reduction of about 45% in the energy used for lighting and cooling in a medium-sized building. Additionally, the proposed window's energy efficiency varied according to climate, with arid climates having the highest efficiency and continental climates having the lowest. HIGHLIGHTS IoT-based Smart Electrochromic Window. Control algorithms for smart electrochromic windows. Simulation of the energy consumption in buildings.","PeriodicalId":46184,"journal":{"name":"Advances in Building Energy Research","volume":"17 1","pages":"193 - 222"},"PeriodicalIF":2.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44414831","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}