{"title":"Sustainable adaptation of heritage buildings in tropical rainforest climates: The innovative practice of Tanjong Pagar Railway Station in Singapore","authors":"Zhenyu Xiao , Zihui Tian , Tianyi Chen , Chenlu Ouyang , Yifan Zhou , Chey Kiang Heng , Elena Lucchi","doi":"10.1016/j.enbuild.2025.115560","DOIUrl":"10.1016/j.enbuild.2025.115560","url":null,"abstract":"<div><div>Heritage buildings in tropical climates face unique challenges in balancing preservation with modern sustainability goals, particularly in energy efficiency and climate resilience. This study introduces a methodological framework for adapting historic buildings in tropical climates while improving their energy performance. Singapore’s Tanjong Pagar Railway Station serves as the primary case study for this investigation. The methodology combines climate analysis, heritage-compatible redesign, and photovoltaic integration. These elements are validated through sophisticated digital modeling and performance simulations. Results demonstrate significant energy efficiency improvements through custom-designed photovoltaic systems, potentially reducing annual energy consumption by up to 83% while preserving historical integrity. This research provides a scalable model for sustainable heritage conservation in tropical regions. It offers valuable insights for urban planners, policymakers, and conservationists working at the intersection of cultural preservation and sustainable development. The findings can inform policy development and conservation practices across Southeast Asia and similar tropical regions facing heritage adaptation challenges.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115560"},"PeriodicalIF":6.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601552","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}
Ezgi Köker Gökgöl , Esther Linder , Philipp Schuetz
{"title":"A community-based decision support map for building retrofit towards a more sustainable future","authors":"Ezgi Köker Gökgöl , Esther Linder , Philipp Schuetz","doi":"10.1016/j.enbuild.2025.115554","DOIUrl":"10.1016/j.enbuild.2025.115554","url":null,"abstract":"<div><div>The energy sector is the source of nearly three-quarters of the global greenhouse gas emissions and buildings form around one-third of it. The largest share of the energy consumption in the buildings belongs to the heating systems which are mostly dependent on fossil fuels. To keep up with the demands of increasing population, it is vital to undergo clean energy transformations effective immediately. In this study, a decision support map was created for a selected community to ease the energy retrofit candidate selection process. Buildings are assessed considering sustainability level of the heating infrastructure, energy use intensity and age, and ranked according to their goodness level on the energy efficiency scale through analytic hierarchy process. Finally, a multi-layered map is created to visualize the outcomes. The decision support map fills a gap in the existing tool landscape as it offers energy consulting on a communal (i.e. not only single building or quarter) level and does not require work from the user as it relies on public data. The results showed that new buildings constructed by environmentally responsible codes tend to have heating systems mostly powered by renewable sources and less level of energy threshold violations while old buildings generally act in the other direction. As the main outcome, the created visuals support the user to have insights about the accumulation areas of the households in low rankings as well as the energy efficiency standing of the individual buildings in comparison with the neighbouring households.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115554"},"PeriodicalIF":6.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591418","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}
Ludovica Maria Campagna, Francesco Carlucci, Francesco Fiorito
{"title":"Life cycle cost optimization for schools energy retrofit under climate change: Methodological approach and analyses in five different climates","authors":"Ludovica Maria Campagna, Francesco Carlucci, Francesco Fiorito","doi":"10.1016/j.enbuild.2025.115561","DOIUrl":"10.1016/j.enbuild.2025.115561","url":null,"abstract":"<div><div>The energy renovation of existing schools has become a priority, to address which cost-effective retrofit strategies should be identified, considering the unavoidable climatic changes, to maximize the benefits during the whole service life. This paper presents a methodology useful for comparing different retrofit proposals by adopting a cost-optimal approach, in which the effects of future climate variations on energy needs were also considered. The methodology was applied to school buildings located in Italy, considering 5 different cities, with the aim of assessing whether an over-performing building − exceeding the minimum regulatory requirements − could provide economic benefits, considering future climatic evolutions and consequent energy needs variations. Different retrofit measures (active and passive) were identified, each of which was associated with different performance targets, starting with those required by the current national energy standard. Accordingly, 900 retrofit proposals were compared against a baseline retrofit option, that brings the building into compliance with current regulations. Optimal solutions were found through a single-objective optimization, performed combining Python and EnergyPlus, which aimed to minimise the global cost of the intervention over a 30-year time horizon. The evolution of climate conditions was also considered in this time interval, generating future weather files on the basis of the most recent SSP5-8.5 scenario. Results highlighted the importance of careful selection of retrofit measures, showing that exceeding regulatory standards does not automatically lead to economic benefits.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115561"},"PeriodicalIF":6.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591268","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}
Guanying Huang , Dezhi Li , S.Thomas Ng , Lingxiao Wang , Yubin Zhang
{"title":"Vision-based personal thermal comfort modeling under facial occlusion scenarios","authors":"Guanying Huang , Dezhi Li , S.Thomas Ng , Lingxiao Wang , Yubin Zhang","doi":"10.1016/j.enbuild.2025.115566","DOIUrl":"10.1016/j.enbuild.2025.115566","url":null,"abstract":"<div><div>Personal thermal comfort modeling can accurately identify the transient thermal comfort states of individuals, facilitating occupant-centric indoor thermal comfort regulation. Facial temperature is the important data source for developing personal thermal comfort model. However, facial occlusion often occurs in daily life, such as wearing eyeglasses or masks, would hinder the acquisition of facial temperature. Previous studies have ignored the facial occlusion scenarios, which narrowed the application scope of the model. This study proposed a method fusing visible and infrared images to fill this knowledge gap. Firstly, the facial occlusion scenarios and corresponding Regions of Interest (ROIs) were recognized from the visible images based on YOLOv8 and FaceMesh. Secondly, the coordinates of ROIs were mapped from visible images onto the infrared images, and the temperature features of each ROI were calculated. Finally, Random Forest (RF) algorithm-based models were developed to predict the subjective thermal comfort indices. 3029 sets of data were collected in the experiment to verify the prediction models under four facial occlusion scenarios (i.e., without occlusion, wearing eyeglasses, wearing mask, wearing both). The results showed that: (1) the accuracy of the proposed prediction models was improved by 3.30% to 14.17% compared with the baseline model based on environmental parameters, (2) temperature features of hand and median temperature feature type were important for personal thermal comfort modeling, and (3) the addition of air temperature and subjects’ Body Mass Index (BMI) could significantly improve the model performance by 6.34% and 5.39%.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115566"},"PeriodicalIF":6.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579707","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}
Mohammed Rady , Mohammed Magdy Hamed , Ahmed Abdiaziz Alasow , Mohd Khairul Idlan Muhammad , Shamsuddin Shahid
{"title":"Spatial variation of building energy consumption in Egypt based on high-resolution typical meteorological year data","authors":"Mohammed Rady , Mohammed Magdy Hamed , Ahmed Abdiaziz Alasow , Mohd Khairul Idlan Muhammad , Shamsuddin Shahid","doi":"10.1016/j.enbuild.2025.115553","DOIUrl":"10.1016/j.enbuild.2025.115553","url":null,"abstract":"<div><div>Building energy consumption is a crucial aspect of the construction industry, as it significantly impacts operational costs and environmental sustainability. This study investigates the spatial variations of cooling energy consumption in Egypt, enabling the identification of regions vulnerable to high energy demands. To this end, we utilize high-resolution typical meteorological year (TMY) data developed from the reanalysis ERA5 dataset. EnergyPlus was employed to simulate a small office building for 535 grid points representing populous regions in Egypt. The Sandia method was utilized to generate TMY data for the last 30 years (1991–2020). The results reveal that the demand for cooling energy in the southern regions could be almost 136 % higher than in the northern regions of Egypt. The temporal patterns reveal the adverse influence of climate change on the average cooling energy consumption, with the peak values in July and August. The deviation between the TMY-based and long-term energy consumption showed a good agreement in different grids, with <em>R<sup>2</sup></em> greater than 0.9 in all grids and normalized root mean square error (NRMSE) ranging between 12 and 32.2 %. Furthermore, the paired <em>t</em>-test results show no significant difference between energy consumption derived from TMY data and long-term data across 95% of the studied grid points in Egypt, indicating that TMY data effectively represents long-term energy consumption trends. The findings can inform energy-efficient building design strategies and policymakers on improving energy efficiency and reducing environmental impacts.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115553"},"PeriodicalIF":6.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620977","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}
Jaewon Jeoung, Juwon Hong, Jinwoo Choi, Taehoon Hong
{"title":"Analyzing news and research articles about energy storage systems in South Korea based on network analysis and topic modeling","authors":"Jaewon Jeoung, Juwon Hong, Jinwoo Choi, Taehoon Hong","doi":"10.1016/j.enbuild.2025.115547","DOIUrl":"10.1016/j.enbuild.2025.115547","url":null,"abstract":"<div><div>The low adoption of energy storage systems (ESS) in South Korea reveals gaps among stakeholders such as government, industry, and academia, and between public and academic perspectives. This study analyzes 4,168 news articles and 9,120 research articles related to ESS in South Korea from 2010 to 2023, using trend analysis, co-occurrence network analysis, and topic modeling (BERTopic). Trend analysis showed that incentive-based policies significantly increased ESS installations and public interest. News article volume increased by 29.3% annually (2015–2018) with strong incentives, but by only 1.8% (2019–2022) after the reduction of these incentives, indicating that abrupt changes or the elimination of incentives decreased media coverage and slowed market growth. Network analysis revealed the industry sector as the most influential stakeholder in news articles, far exceeding academia with a weighted degree centrality 59 times higher and a betweenness centrality six times higher, reflecting the industry sector’s role in driving ESS-related discourse. Lastly, topic modeling identified media discourse on fire safety, electric vehicles, and recycling, whereas academic research focused on advances in ESS materials and operation systems, particularly for lithium-ion batteries, supercapacitors, and hydrogen or thermal energy storage systems. These findings indicate a misalignment between public concerns (electric vehicles, renewable energy, fire incidents, and waste management) and academic focus (material science and operation of ESS). Based on the results, strategies are proposed for each stakeholder, including maintaining long-term incentive-based policies, diversifying research and development investments for multiple ESS types, and improving communication of academic findings to better align public and academic discourses.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115547"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579691","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}
Marcel Arpogaus, Roman Kempf, Tim Baur, Gunnar Schubert
{"title":"Probabilistic indoor temperature forecasting: A new approach using bernstein-polynomial normalizing flows","authors":"Marcel Arpogaus, Roman Kempf, Tim Baur, Gunnar Schubert","doi":"10.1016/j.enbuild.2025.115527","DOIUrl":"10.1016/j.enbuild.2025.115527","url":null,"abstract":"<div><div>Numerous studies have demonstrated that energy demand in the building sector, particularly for heating, ventilation, and air conditioning systems, can be reduced by forecasting future indoor temperatures and applying targeted control strategies. Accurate indoor temperature forecasts depend on understanding random variables such as occupancy and the number of active electrical devices. However, detecting these random influences is challenging, leading existing methods to be overly specific, reliant on expensive sensors, and poorly generalizable across different buildings. Moreover, prevalent point forecasting methods fail to account for the uncertainty surrounding future outcomes. In this paper, we propose that instead of attempting to eliminate naturally occurring random disturbances, it is more effective to incorporate these uncertainties into the modeling process. We introduce a deep learning methodology for probabilistic forecasting that predicts future temperatures as a probability distribution, integrating the inherent randomness of the data without requiring direct measurements. The proposed model is based on normalizing flows with flexible Bernstein polynomials and is compared to a Gaussian baseline. This approach enables the estimation of complex distributions via the maximum likelihood principle, with only mild assumptions on its shape. Due to the lack of high-quality real-world data, we use simulated data from various rooms with differing characteristics and evaluate both models in terms of robustness and flexibility. Our results indicate that our model accurately predicts indoor temperature distributions and generalizes well to different and previously unseen rooms. The dataset and code are published along with this paper, to provide reproducible results and benchmark data to the community.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115527"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610041","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}
Dong Wang , Haowen Xu , Jin Yang , Yi Luo , Lei Yang
{"title":"Energy consumption analysis and electricity pricing strategies of university dormitories in hot summer and warm winter region: A case from Guangzhou University, South China","authors":"Dong Wang , Haowen Xu , Jin Yang , Yi Luo , Lei Yang","doi":"10.1016/j.enbuild.2025.115525","DOIUrl":"10.1016/j.enbuild.2025.115525","url":null,"abstract":"<div><div>University dormitories, particularly in regions with hot summers and warm winters, exhibit high energy consumption density. It is crucial to understand the energy consumption characteristics and influencing factors of university dormitories before implementing energy efficiency measures and developing energy conservation policies. However, few studies based on historical data have been reported. This study aims to analyze the energy consumption characteristics of university dormitories and identify the influential factors based on historical electricity data from 2019 to 2022 at Guangzhou University, covering climate warming, social progress, and the COVID-19 pandemic. The energy consumption characteristics and the impact of factors, including floor level, orientation, students’ gender, and type of air conditioning, are investigated and quantified through a data-driven multiple linear regression model and statistical analysis. The results show that: 1) Orientation significantly affects energy consumption in university dormitories in hot summer and warm winter regions, with southeast-facing dormitories exhibiting the lowest per capita electricity consumption. 2) The correlation between dormitory floor and energy consumption was negative, contrasting with previous findings that higher floors in residential buildings have higher energy consumption. 3) Gender was found to be a significant factor influencing dormitory energy consumption, with male dormitories exhibiting significantly higher per capita electricity usage compared to female dormitories. The findings underscore the important role of orientation and gender in dormitory energy consumption and provide a basis for universities to develop targeted energy-saving measures.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115525"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579693","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}
Virendra Sharma , Tanmay Dave , Faizan Ahmad Wani , Jyotirmay Mathur , Sanjay Mathur
{"title":"Understanding the combined effect of the thermal environment and personal factors on occupant performance under sedentary physical activity level","authors":"Virendra Sharma , Tanmay Dave , Faizan Ahmad Wani , Jyotirmay Mathur , Sanjay Mathur","doi":"10.1016/j.enbuild.2025.115559","DOIUrl":"10.1016/j.enbuild.2025.115559","url":null,"abstract":"<div><div>Understanding the combined effect of the thermal environment and personal factors on occupant thermal comfort and performance is crucial, given the significant seasonal changes in these factors that impact thermal comfort. This study combined these factors into a single index, using Standard Effective Temperature (SET), to examine their relationship with occupant thermal comfort, performance, mood disturbance, willingness and well-being during winter and summer. The occupants were exposed to four and twelve different thermal conditions for the winter and summer assessments, respectively. Subjective questionnaires were used to assess thermal comfort, mood disturbance, willingness, and well-being, whereas neurobehavioral tests were used to quantify the performance. The results revealed that in winter, the thermal sensation range for maximizing thermal comfort, willingness, performance, wellness and minimizing mood disturbance was ‘neutral’ to ‘slightly warm,’ while in summer, it shifts from ‘neutral’ to ‘slightly cool’. Despite these changes, the SET remained consistent in the range of 23.5 °C to 24.5 °C across seasons, ensuring the best occupant responses. This consistency suggests that within this SET range, the body’s thermoregulation and behavioural adaptations effectively sustain comfort, willingness, performance, wellness and minimum mood disturbance, regardless of seasonal variations. These outcomes can help design occupant-centric building control algorithms for HVAC systems.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115559"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548417","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":"Thermal energy storage for increasing self-consumption of grid connected photovoltaic systems: A case for Skjetlein High School, Norway","authors":"Mulu Bayray Kahsay, Steve Völler","doi":"10.1016/j.enbuild.2025.115563","DOIUrl":"10.1016/j.enbuild.2025.115563","url":null,"abstract":"<div><div>Grid-connected photovoltaic systems installed in buildings have the option of exporting excess energy when the electricity generated is greater than the building’s energy demand. However, with no incentives and when purchasing electricity is higher than selling electricity, mechanisms for increasing self-consumption of the excess solar energy become important. The potential of thermal energy storage (TES) for increasing self-consumption in the cases of electrical photovoltaic installations has been investigated in this work. A model has been developed for the PV integrated with TES system and demonstrated with a case study. The TES was intended to enable the PV system to contribute to the supply of space heating.</div><div>Electricity consumption, PV generation and PV export, and space heat demand data for two years were used for the analysis. The existing system without TES and a system that includes TES were modeled using the TRNSYS program. A combination of the TRNSYS and the optimization program GenOpt was employed to determine the optimum size of the TES. The result of the case study with an installed PV capacity of 235 kWp showed that TES with a tank volume of 10 m<sup>3</sup> and a thermostat temperature setpoint of 90 °C would be appropriate for the system. This resulted in an annual average increase of 26 % in self-consumption of the electrical PV production in the buildings compared to the existing case with no energy storage system. Thus, the annual heat demand delivered to the buildings by a boiler decreased by 5 %.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115563"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547078","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}