{"title":"Impact of patterned chromatic glazing on colour perception: A comprehensive approach","authors":"Dingming Liu, Yupeng Wu","doi":"10.1016/j.enbuild.2025.115623","DOIUrl":"10.1016/j.enbuild.2025.115623","url":null,"abstract":"<div><div>Chromatic glazing is widely used in modern office spaces globally, influencing the spectral characteristics of light and altering the indoor luminous environment. This change can affect how occupants perceive colours. The International Commission on Illumination (CIE) recommends using various colour quality metrics to evaluate light quality. However, the effectiveness of these metrics in predicting colour quality, especially with chromatic glazing, lacks empirical validation. To address this, a colour perception experiment was conducted under simulated daylight conditions, testing various chromatic film-covered glazing types. The study aimed to correlate subjective colour quality assessments with predictions from colour quality metrics, such as the colour rendering index (CRI), colour quality scale (Qa), gamut area scale (Qg), and gamut area index (GAI). The experiment used seven simulated daylight conditions with different chromatic patterned glazing, labelled as 100 % Blue, 70 % Blue, 30 % Blue, 100 % Bronze, 70 % Bronze, and 30 % Bronze, evaluated in a test room replicating office conditions. The results showed that patterned chromatic glazing (30 % bronze) performed better in perceived colour quality than clear glazing or non-patterned glazing (100 % bronze). The findings confirmed that colour quality metrics, particularly CRI, Qa, Qg, and GAI, are reliable indicators for predicting the colour quality of environments where daylight passes through patterned chromatic glazing. This study highlights the importance of understanding how chromatic glazing impacts colour perception in office environments and validates the use of these metrics in real-world applications.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115623"},"PeriodicalIF":6.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anuradha Kadam , Tarek Sherif , Kamilah Mustafa , Max Doersam , Samantha Morton , Latrice Rollins , Julie Kim , Tarek Rakha
{"title":"Advancing retrofit assessment in disadvantaged communities: A multimodal framework for evaluating low-budget weatherization programs","authors":"Anuradha Kadam , Tarek Sherif , Kamilah Mustafa , Max Doersam , Samantha Morton , Latrice Rollins , Julie Kim , Tarek Rakha","doi":"10.1016/j.enbuild.2025.115634","DOIUrl":"10.1016/j.enbuild.2025.115634","url":null,"abstract":"<div><div>Energy burden poses a significant challenge for disadvantaged communities, exacerbating health issues and hindering efforts for preserving legacy homeownership. While many residential energy efficiency programs and incentives exist, they often fail to reach their target audiences or achieve their intended impact. A procedure for identifying the extent of weatherization’s impact and the effectiveness of diverse strategies aimed at capturing that impact needs to be developed. Therefore, this research study utilizes data collected through a low-budget pilot weatherization program, implemented in 16 households in Atlanta, to evaluate retrofit effectiveness across four different metrics: (a) blower door test results or airtightness of a building envelope, (b) infrared thermography or visual evaluation of building envelope, (c) energy consumption through weather-normalized utility bills, and (d) surveys and interviews with participants. These metrics are standardized using percent differences calculated from pre- and post-retrofit data, resulting in the following observations (a) 25 % decrease in air leakages, (b) 79 % decrease in building envelope anomalies, (c) 9 % decrease in energy consumption, (d) 92 % increase in indoor comfort. While the blower door test and utility bill analysis provided the most reliable indicators of the impact of weatherization on energy consumption, survey results more effectively captured the effect on thermal comfort. Post retrofit analysis revealed greater thermal comfort improvements in initially poor condition households, despite some remaining “leaky”.<!--> <!-->Four out of six interviews conducted 4–5 months after retrofitting reported reduced utility bills, resulting in a decrease in energy burden for participants.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115634"},"PeriodicalIF":6.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guanjing Lin , John House , Yimin Chen , Jessica Granderson , Wanpeng Zhang
{"title":"Active multi-mode data analysis to improve fault diagnosis in AHUs","authors":"Guanjing Lin , John House , Yimin Chen , Jessica Granderson , Wanpeng Zhang","doi":"10.1016/j.enbuild.2025.115621","DOIUrl":"10.1016/j.enbuild.2025.115621","url":null,"abstract":"<div><div>Faults in heating, ventilation and air conditioning systems can lead to increased energy consumption, occupant comfort issues, and reduced equipment lifetime. Commercial fault detection and diagnosis (FDD) tools has been increasingly deployed in U.S. commercial buildings. While they are helping to achieve energy efficiency and operational reliability, there remain gaps in their fault diagnostic capabilities. The diagnostic results often contain multiple distinct candidate root causes (CRCs) or offer no insight into CRCs. This study developed a novel active rule-based multi-mode data analysis method to enhance diagnostic resolution by applying proven rule sets and additional new rules to data from multiple known operational modes. The proposed method was demonstrated using enhanced air handling unit performance assessment rule sets and validated with the simulated data of two air handling units. New metrics, namely, reduced number of CRCs and improvement ratio, were developed to quantify the improvement of fault diagnostic resolution. The validation results showed that the proposed method effectively reduced the number of CRCs in contrast to analyzing data solely for a single mode of operation. It achieved a median improvement ratio of 80% in 19 test cases.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"337 ","pages":"Article 115621"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of an econometric multiple discrete continuous fusion approach to link residential sector energy demand and travel infrastructure and usage","authors":"Md Istiak Jahan, Naveen Eluru","doi":"10.1016/j.enbuild.2025.115626","DOIUrl":"10.1016/j.enbuild.2025.115626","url":null,"abstract":"<div><div>The considerable body of earlier research on household level residential sector energy demand does not consider the impact of household residents’ travel infrastructure on energy consumption patterns. The absence of travel infrastructure elements in energy demand models can be attributed to the lack of data providing this information in energy surveys. In this study, a novel econometric fusion approach is utilized to combine the traditional energy dataset −Residential Energy Consumption Survey (RECS) data – with a transportation survey data − National Household Travel Survey (NHTS) data. The probabilistic fusion approach is employed to study energy consumption by end use type with a Multiple Discrete Continuous Extreme Value model framework. The framework will quantify the impact of travel infrastructure and usage related attributes on household end-use energy demand and remedy the over-estimation of the impact of socioeconomic attributes. The model results reveal the impact of several household socioeconomic attributes (i.e., household size, location and income) and travel infrastructure and usage related attributes (i.e. number of vehicles of different fuel and body types, household annual mileage and frequency of long-distance trips) on household end-use energy demand. The model estimation results are augmented with an elasticity analysis and policy analysis to highlight the implementation of the proposed framework. The elasticity results reveal that ignoring the influence of travel infrastructure and usage variables can contribute to errors for elasticity values for other independent variables such as household size (up to 1800%), number of adults (up to 50%) and residential location (up to 15%).</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115626"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel framework for the assessment of indoor lighting solutions and its application for model learning spaces of a higher educational institution considering energy efficiency and human factors","authors":"Sourin Bhattacharya , Susmita Bhattacharya , Abhishek Das , Shibsankar Mahata , Sujash Biswas","doi":"10.1016/j.enbuild.2025.115625","DOIUrl":"10.1016/j.enbuild.2025.115625","url":null,"abstract":"<div><div>Indoor lighting planning, design, and commissioning should be performed with a panoptic view of financial incurrences, energy efficiency, photometric parameters, non-visual aspects, and human factors, and a practicable indoor lighting assessment framework can make thorough evaluations of proffered lighting designs of indoor spaces including classrooms of educational institutions. This study presents a comprehensive indoor lighting assessment framework, formulated with the assistance of the Delphi method of reaching expert consensus and the Analytical Hierarchy Process (AHP) of assigning weightage to each criterion, with three distinct criteria or rubrics: Energy Efficiency and Financial Aspects (EFFA), Visual and Non-Visual Effects (VNVE), and Occupants’ Perception and Comfort (OPC). A maximum composite score of 5 is awarded for each proffered lighting solution. This framework was applied for the evaluation of several candidate lighting solutions based on incandescent, fluorescent, and light-emitting diode (LED) lamps for model learning spaces of a higher educational institution in West Bengal, India, and the LED Downlight-based lighting system with a Correlated Colour Temperature (CCT) of 4816 K of a model lecture theatre received the highest composite score of 4.00 out of 5.00 and maximized OPC (4.61 out of 5.00). In addition, LED-based lighting systems outscored the conventional counterparts by at least 7.85 %. The novelty of the introduced framework lies in its emphasis on interlacing energy performance, financial incurrences, ergonomics, and visual comfort in a unified evaluation model, offering a pragmatic-cum-productivist tool for indoor lighting design and assessment, particularly in regions and provinces lacking formal ergonomic lighting design and evaluation regulations.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115625"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yangmin Wang , Ruqian Zhang , Altti Meriläinen , Antti Kosonen , Juha Jokisalo , Risto Kosonen
{"title":"Cost-optimal control for a small energy community heated with dual source heat pump and district heating","authors":"Yangmin Wang , Ruqian Zhang , Altti Meriläinen , Antti Kosonen , Juha Jokisalo , Risto Kosonen","doi":"10.1016/j.enbuild.2025.115622","DOIUrl":"10.1016/j.enbuild.2025.115622","url":null,"abstract":"<div><div>Control strategies are crucial for reducing energy costs in hybrid heating systems using multiple energy carriers. The study analyzed the impact of three control strategies on energy usage and costs in a small energy community heated with a hybrid heating system. The system comprises a low-temperature heating network powered by a dual source heat pump and a district heating network. The control strategies included a low-temperature heating-prioritized and two cost-effective control strategies based on different electricity and district heating prices. The analysis was implemented by dynamic simulations based on the customized heating network model for the years 2022 and 2023. The cost-effective control strategy based on hourly electricity prices and the estimated cost of district heating produced by utilizing waste heat from hydrogen production resulted in the lowest annual costs. It reduced the annual costs by 25 % in 2022 and by 5 % in 2023 compared to the low-temperature heating-prioritized control strategy. The major difference between the two years was the variations in energy prices and the structure of the district heating power fees. As price differences between electricity and district heating in 2023 were less than those in 2022, the drop in energy costs upon adopting the cost-effective control strategy was smaller in 2023. Different power fee charging policies resulted in an increased power fee cost in 2023 even if the maximum district heating power slightly decreased. The increased power fee cost weakened the positive impact of energy cost saving brought by the cost-effective control strategies in the total costs.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115622"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongchao Xu , Fengyun Sun , Peng Zeng , Xingyan Bao , Yue Che
{"title":"Impact of diurnal variation in 3D urban landscape metrics on land surface temperature in Shanghai: A local climate zone perspective","authors":"Hongchao Xu , Fengyun Sun , Peng Zeng , Xingyan Bao , Yue Che","doi":"10.1016/j.enbuild.2025.115624","DOIUrl":"10.1016/j.enbuild.2025.115624","url":null,"abstract":"<div><div>With rapid urbanization, cities have shifted from two-dimensional (2D) to three-dimensional (3D) expansion, presenting challenges in understanding how urban 3D structures impact ecological environments. This study uses ECOSTRESS LST data, 3D building and vegetation data, Spearman correlation analysis, and a boosted regression tree (BRT) model to examine the diurnal effects of 3D landscape metrics on LST across various LCZs in Shanghai’s outer ring. The results show that a 1050 m spatial scale is optimal for analysis. Mean architecture height (MAH) was positively correlated with LST at 02:39, 05:42, and 09:27 but negatively at 12:58. At 12:58, the relative influence of mean architecture projection area (MAPA) was highest in LCZ 5 and LCZ 8. Larger building volumes (AVs) reduced LST at night, but increased it at 12:58, particularly in LCZs 4 and 8. The MAPA had the strongest positive effect on LST at 12:58, while mean architecture height standard (AHSD) had a cooling effect during the day but increased LST at night. This study offers new insights into the temporal impacts of 3D urban morphology on thermal conditions, providing actionable guidance for urban planning and heat island mitigation.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115624"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Cecilia Demarchi , Sofía Gervaz Canessa , Gabriel Pena , Alejandro E. Albanesi , Federico Favre
{"title":"Enhancing the Accuracy of Thermal Model Calibration: Integrating Zone Air and Surface Temperatures, Convection Coefficients, and Solar and Thermal Absorptivity","authors":"M. Cecilia Demarchi , Sofía Gervaz Canessa , Gabriel Pena , Alejandro E. Albanesi , Federico Favre","doi":"10.1016/j.enbuild.2025.115617","DOIUrl":"10.1016/j.enbuild.2025.115617","url":null,"abstract":"<div><div>Building energy simulation models are indispensable tools for predicting thermal and energy performance and evaluating building energy efficiency. However, in the calibration and sensitivity analysis of these models, most studies focus on air temperatures or energy consumption, typically not taking into account critical parameters such as surface temperatures, convective heat transfer coefficients, and thermal and solar absorptivities. In this context, this work complements prior studies by incorporating these critical parameters, including convection coefficients and thermal and solar absorptivity, enhancing both the reliability and completeness of building simulation models. Using a monitoring period, air and surface temperature data were collected under free-floating conditions and supplemented with meteorological records from an on-site station. Optimization was performed using the root mean square error (RMSE) metric to minimize discrepancies between measured and simulated values of zone air and surface temperatures. The results demonstrate that the detailed calibration strategy, which considers convective coefficients and material absorptivities as design variables and minimizes errors in both air and surface temperature predictions, significantly enhances model accuracy. This approach reduces the RMSE of air temperature predictions by 60% and the RMSE of surface temperature predictions by 73% (walls), 79% (inner roof), 42% (outer roof), and 82% (floor). Further analysis of heat gains and losses emphasizes the critical role of these parameters in the accuracy in the modeling of building-environment interactions. This detailed and robust approach ensures a more precise and reliable simulation model, highlighting the critical role of advanced calibration techniques in optimizing building energy performance simulations.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115617"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Life cycle integrated multi-criteria decision model for roof assessment","authors":"Taylana Piccinini Scolaro, Enedir Ghisi","doi":"10.1016/j.enbuild.2025.115628","DOIUrl":"10.1016/j.enbuild.2025.115628","url":null,"abstract":"<div><div>Roofs significantly impact urban microclimates and indoor environments. However, selecting a suitable roof typology is complex due to environmental, social, and economic issues. This study aims to propose a method that comprises four parameters to support the selection of the most sustainable roof typology: life cycle energy assessment, urban heat island, life cycle cost analysis and thermal comfort. A top-floor flat in a multifamily residential building model with conventional (fibre cement), cool and green roofs, with and without thermal insulation, was used as a case study. The Brazilian climatic contexts of Florianópolis, Curitiba, and Brasília were considered. Computer simulations on EnergyPlus and data from the literature, technical specifications, a Brazilian database for quantifying materials and services and market prices were used to assess the roof typologies’ performance in each parameter. A questionnaire was applied to a panel of building experts to define the relative importance of each parameter. A multi-criteria decision-making (MCDM) method combining Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to weigh the parameters and select the most energy-sustainable roof alternative for each climatic context. The cool roof was the most sustainable in Florianópolis and Brasília, whereas the green roof was in Curitiba. Conventional roofs performed worst in all cities due to lower environmental and social efficiency. The method proposed herein offers valuable guidance for selecting energy-sustainable roofs and urban planning strategies, with adaptability to other roof typologies and countries, enabling tailored roof solutions for local conditions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115628"},"PeriodicalIF":6.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating the carbon emission reduction effect of distributed energy system in 20 years: Experience from Kitakyushu Science and Research Park, Japan","authors":"Yi Yu , Qinfeng Zhao , Tian Wang , Weijun Gao","doi":"10.1016/j.enbuild.2025.115615","DOIUrl":"10.1016/j.enbuild.2025.115615","url":null,"abstract":"<div><div>Distributed Energy Systems (DES) are widely recognized for their high energy efficiency and low environmental impact, attracting significant attention in the building sector. Among them, the combined cooling, heat, and power (CCHP) system is a key model. However, existing research predominantly relies on software simulations, lacking empirical analysis of long-term operational performance, which, to some extent limits the accuracy of carbon reduction benefit assessments for DES. This study analyzes 20 years of operational data from the Kitakyushu Science and Research Park (KSRP), focusing on the dynamic changes in carbon emissions of the CCHP system, aiming to fill the gap in empirical research on long-term performance evaluation of DES. The result shows that (1) KSRP has achieved environmental benefits through the CCHP system. In 20 years, the heat recovery has reduced emissions by 3,254 tCO<sub>2</sub>/year, accounting for 98 % of the total emission reduction benefits. (2) The use of CCHP technology in the DES reduces KSRP’s carbon emissions by 5,445 tCO<sub>2</sub>/year compared to using the urban power grid. However, with the fuel cell shutdown, this dropped to 2,432 tCO<sub>2</sub>/year, and further declined to just 9 tCO<sub>2</sub>/year with the shutdown of the gas engine and termination of heat recovery. (3) As the key piece of heat recovery equipment, absorption chiller-heaters contribute 53 % of the total carbon reduction achieved by the DES over the 20 years. (4) The DES at KSRP showed the most significant energy-saving and emission-reduction benefits in the first 10 years, followed by a decline every five years. This study not only provides essential empirical data support for the long-term performance evaluation of DES but also offers scientific insights for optimizing system operation strategies and enhancing carbon reduction benefits.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"337 ","pages":"Article 115615"},"PeriodicalIF":6.6,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}