-
Transfer the evaluation of energy-efficient building retrofitting: A Sweden-China empirical study Energy Build. (IF 6.6) Pub Date : 2024-03-04 Qingpeng Man, Haitao Yu, Kailun Feng, Thomas Olofsson, Weizhuo Lu
Evaluating and comparing the performances of different strategies is critical for energy-efficient building retrofitting. Data-driven modelling based on large building performance datasets is an effective method for such evaluations. However, it could be challenging to apply this approach to buildings from data-poor areas where local building performance datasets have not been well-established, which
-
Decentralized distributionally robust energy and reserve co-optimization of smart building clusters with virtual energy storage capability Energy Build. (IF 6.6) Pub Date : 2024-02-28 Guoqiang Sun, Xiaodong Chen, Yizhou Zhou, Sheng Chen, Zhinong Wei
The development of distributed renewable energy sources (RESs), and heating, ventilation, and air conditioning (HVAC) systems are facilitating the drive toward smart building energy operation modes, along with peer-to-peer (P2P) energy sharing and reserve co-optimization between smart buildings. However, while distributionally robust optimization (DRO) methods are ideally suited to such decentralized
-
Comparative feasibility study of physiological signals from wristband-type wearable sensors to assess occupants' thermal comfort Energy Build. (IF 6.6) Pub Date : 2024-02-28 Sungwoo Moon, Sun Sook Kim, Byungjoo Choi
This study compares the feasibility of physiological signals acquired from wearable sensors to assess building occupants' thermal comfort. Field experiments were conducted to acquire electrodermal activity (EDA), heart rate (HR), skin temperature (SKT), and thermal comfort ratings from 18 subjects in actual office settings using wristband-type wearable biosensors based on thermal preference votes.
-
An energy-efficient exhaust hood for industrial buildings with strong thermal buoyancy Energy Build. (IF 6.6) Pub Date : 2024-02-28 Bingqian Chen, Sumei Liu, Junjie Liu, Nan Jiang, Qingyan Chen
Ventilation is essential for the health and safety of workers in industrial buildings, as it can reduce the exposure to hazardous substances. This study used an experimental chamber with strong thermal buoyancy to measure the air velocity and pollutant concentration under two types of exhaust hoods: reinforced and traditional. The data-driven turbulence model with a new wall function was validated
-
U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality Energy Build. (IF 6.6) Pub Date : 2024-02-28 Mara Geske, Alexander Benz, Conrad Voelker
Due to climate change and limited energy resources, it is becoming increasingly important to analyse and optimise the energy performance of existing building stocks. Urban building energy modelling is the most common tool for such tasks, however difficulties arise from incomplete or outdated datasets, which are often updated using subjective assumptions. This study proposes a methodological framework
-
Equity-oriented power sharing and demand response for enhancing green energy access in mixed communities Energy Build. (IF 6.6) Pub Date : 2024-02-27 Petr Musilek, Akhtar Hussain
The distribution of renewable energy resources (RERs) is currently uneven and is largely influenced by their affordability across various communities. This has led to disparities in access to green energy for different community members. To address these inequalities, this study proposes an equity-oriented power-sharing mechanism that incorporates demand response (DR). The implementation of this approach
-
Multizone representation of time-varying airflows in naturally ventilated dwellings: Occupant-generated CO2 approach Energy Build. (IF 6.6) Pub Date : 2024-02-25 Yiwen Jian, Xiaoliang Shao, Xin Gai, Shengjie Liu, Chao Chen, Shuwei Liu
Accurate measurement of air exchange-rates (AERs) is crucial in naturally ventilated dwellings. AER calculations must take into account the multizone and time-varying aspects to avoid significant deviations from reality. To address the issues of invasiveness, high cost, and inability to track real-time changes in airflow and to represent real airflow patterns associated with the multiple tracer gas
-
Ventilation performance index fully considering effects of ventilation air parameters on thermal comfort: Effective Draft – Moisture Temperature Energy Build. (IF 6.6) Pub Date : 2024-02-25 Sheng Zhang, Xia Zhang, Zhang Lin, Zhaosong Fang
Ventilation methods are widely used for creating livable indoor environments. The ventilation performance index of thermal comfort is indispensable for the provision of thermal comfort in indoor environments with ventilation methods. While the air temperature, air velocity, and relative humidity are three predominant environmental air parameters of ventilation methods affecting thermal comfort, existing
-
Performance analysis on a wood-color thermal catalytic Trombe wall in wood buildings Energy Build. (IF 6.6) Pub Date : 2024-02-25 Huabo Wu, Niansi Li, Guoyu Zhang, Guoji Zhang, Jie Ji, Bendong Yu
The wood buildings had huge advantages such as high thermal insulation performance and carbon fixation. While the indoor air pollution caused by the release from volatile organic compounds (VOCs) from the artificial boards in wood buildings creates huge threat on human health. Considering architectural aesthetics and solar building-integration principles, this article proposed a novel thermal catalytic
-
Energy consumption prediction of industrial HVAC systems using Bayesian Networks Energy Build. (IF 6.6) Pub Date : 2024-02-25 Francesco Giuseppe Ciampi, Andrea Rega, Thierno M.L. Diallo, Francesco Pelella, Jean-Yves Choley, Stanislao Patalano
Predicting energy consumption has become a critical issue for energy-intensive industrial contexts. A significant contribution to their overall energy load is due to the Heating Ventilation and Air Conditioning (HVAC) systems. This work, therefore, aims to validate the applicability of a probabilistic graphical approach, the Bayesian Network, in predicting the HVAC systems' energy consumption. As a
-
Climate-adaptive resilience in district buildings and cross-regional energy sharing in Guangzhou-Shenzhen-Hong Kong Greater Bay Area Energy Build. (IF 6.6) Pub Date : 2024-02-24 Yuekuan Zhou, Zhaohui Dan, Xiaojun Yu
-
Comparative analysis of indoor thermal environment characteristics and occupants’ adaptability: Insights from ASHRAE RP-884 and the Chinese thermal comfort database Energy Build. (IF 6.6) Pub Date : 2024-02-24 Liu Yang, Feixiang Wang, Shengkai Zhao, Siru Gao, Haiyan Yan, Zhen Sun, Zhiwei Lian, Lin Duanmu, Yufeng Zhang, Xiang Zhou, Bin Cao, Zhaojun Wang, Yongchao Zhai
Understanding indoor thermal environment characteristics, Occupants’ adaptability, and making a reasonable assessment based on thermal comfort standards are crucial for achieving energy-efficient and high-quality building environments. Sufficient data from the thermal comfort database serves as an important foundation for analyzing indoor thermal environments. The ASHRAE RP-884 database, a foremost
-
Gender disparities in thermal responses under vertical air temperature differences Energy Build. (IF 6.6) Pub Date : 2024-02-24 Shan Zhou, Baizhan Li, Runming Yao, Wei Yu, Chenqiu Du, Zhanli Xi
The effects of vertical temperature differences (VTD) on human thermal comfort have attracted growing attention from researchers when utilizing split air conditioners for winter heating. This study underscores the need to investigate the influences of gender disparities in the context of significant vertical temperature variations, a critical aspect that has not yet been comprehensively explored. Twenty
-
Enhancing climate resilience in buildings using Collective Intelligence: A pilot study on a Norwegian elderly care center Energy Build. (IF 6.6) Pub Date : 2024-02-24 Mohammad Hosseini, Silvia Erba, Parisa Hajialigol, Mohammadreza Aghaei, Amin Moazami, Vahid M. Nik
The combined challenge of climate change and population aging requires novel solutions that enhance the resilience of building energy systems and secure indoor comfort for vulnerable occupants in extreme weather conditions. This research investigates the performance of a newly developed Energy Management (EM) system based on Collective Intelligence (CI) and Reinforcement Learning (RL), called CIRLEM
-
A novel socio-economic-environmental model to maximize prosumer satisfaction in smart residential complexes Energy Build. (IF 6.6) Pub Date : 2024-02-24 Peyman Afzali, Armin Yeganeh, Fatemeh Derakhshan
As the adoption of distributed and renewable energy resources helps consumers evolve into prosumers who generate and trade their own energy, optimizing distributed renewable energy resources, electric vehicles, and energy storage in smart residential complexes is crucial to enhance satisfaction and capitalize on their potential for environmental and economic benefits. Nonetheless, limited progress
-
Flexible demand-side management program in accordance with the consumers’ requested constraints Energy Build. (IF 6.6) Pub Date : 2024-02-22 Ahmad Atefi, Vahid Gholaminia
-
Developing a housing stock model for evaluating energy Performance: The case of Jordan Energy Build. (IF 6.6) Pub Date : 2024-02-22 Reham Alasmar, Yair Schwartz, Esfandiar Burman
The housing stock is the long-lasting component of the settlement structure. The dwellings make up 72% of buildings and consume around 40% of the primary energy in Jordan. The government in Jordan aims to meet the goals of Paris Agreement by 2050 toward net zero carbon. Considering its importance, this study aims to provide an approach for developing a housing stock model for Jordan to evaluate energy
-
Limited data-oriented building heating load prediction method: A novel meta learning-based framework Energy Build. (IF 6.6) Pub Date : 2024-02-21 Yakai Lu, Xingyu Peng, Conghui Li, Zhe Tian, Xiangfei Kong
Data-driven models have been widely used in building heating load prediction, but often fail when facing limited data. Previous studies have shown transfer learning can assist model learning of target building under limited data by means of other source building data, however, which is subject to the similarity between source and target building. Selecting similar source building data is not easy,
-
An advanced airport terminal cooling load forecasting model integrating SSA and CNN-Transformer Energy Build. (IF 6.6) Pub Date : 2024-02-21 Bochao Chen, Wansheng Yang, Biao Yan, Keren Zhang
-
-
Transformer based day-ahead cooling load forecasting of hub airport air-conditioning systems with thermal energy storage Energy Build. (IF 6.6) Pub Date : 2024-02-21 Die Yu, Tong Liu, Kai Wang, Kang Li, Mehmet Mercangöz, Jian Zhao, Yu Lei, RuoFan Zhao
The air conditioning system constitutes more than half of the total energy demand in hub airport buildings. To enhance the energy efficiency and to enable intelligent energy management, it is vital to build an accurate cooling load prediction model. However, the current models face challenges in dealing with dispersed load patterns and lack interpretability when black box approaches are adopted. To
-
User’s perspective in smart meter research: State-of-the-art and future trends Energy Build. (IF 6.6) Pub Date : 2024-02-21 Jonathan Gumz, Diego C. Fettermann
Over the past decade, there has been extensive research on smart meters’ rollouts worldwide. Many studies have explored smart meters from the perspective of residential users. However, there is a lack of a bibliographic analysis synthesizing the knowledge into an intellectual framework. This work aimed to comprehensively analyze the available literature, covering 1555 articles. A bibliographic analysis
-
The effect of climate change and urbanization on outdoor microclimate: A case study in Berlin Energy Build. (IF 6.6) Pub Date : 2024-02-21 Fabrizio Ascione, Olaf Böttcher, Giacomo Manniti, Margherita Mastellone, Jana Mühle
-
Dynamic building thermal mass clustering for energy flexibility assessment: An application to demand response events Energy Build. (IF 6.6) Pub Date : 2024-02-20 Alice Mugnini, Alfonso P. Ramallo-González, Adelaida Parreño, Angel Molina-Garcia, Antonio F. Skarmeta, Alessia Arteconi
Demand response programs encompass a range of externally control strategies designed to modify consumer end-use load according to specific grid demands. In the current renewable integration context, power systems need to implement such demand strategies to provide energy flexibility during grid stress periods. Nevertheless, the extensive adoption of demand response initiatives in the building sector
-
Dynamic LCA methodology to support post-occupancy decision-making for carbon budget compliance Energy Build. (IF 6.6) Pub Date : 2024-02-20 L.H. Neves Mosquini, B. Delinchant, T. Jusselme
In response to the climate crisis and ever diminishing global carbon budget targets, managing carbon emissions, particularly during the post-occupancy phase in the building sector, is pivotal. This study presents a novel approach that uses a parametric Life Cycle Assessment (LCA) workflow that integrates the temporal dimension to align post-occupancy decision-making with carbon budgets. Applying this
-
A review of Modelica language in building and energy: Development, applications, and future prospect Energy Build. (IF 6.6) Pub Date : 2024-02-20 Kaiying Qiu, Junlu Yang, Zhi Gao, Fusuo Xu
[Display omitted]
-
Performance measurement and configuration optimization based on orthogonal simulation method of earth-to-air heat exchange system in cold-arid climate Energy Build. (IF 6.6) Pub Date : 2024-02-20 Dong Zhang, Jingrui Zhang, Chunyang Liu, Chengtao Yan, Jinchao Ji, Zhoujian An
-
Energy savings in direct air-side free cooling data centers: A cross-system modeling and optimization framework Energy Build. (IF 6.6) Pub Date : 2024-02-20 Yongcheng Zhou, Shuangxiu Li, Qiang Li, Fanchao Wei, Dazhi Yang, Jinfu Liu, Daren Yu
-
Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings Energy Build. (IF 6.6) Pub Date : 2024-02-19 Xue Cui, Minhyun Lee, Choongwan Koo, Taehoon Hong
U.S. residential buildings account for a significant share of national energy consumption, highlighting their potential for energy-savings. Accurately predicting building energy consumption and understanding the impact of household features are, therefore, crucial for effective energy management, conservation efforts, and the development of energy policies. However, most existing models predicting
-
An online fault detection and diagnosis method of sensors in district heating substations based on long short-term memory network and adaptive threshold selection algorithm Energy Build. (IF 6.6) Pub Date : 2024-02-19 Puning Xue, Luyang Shi, Zhigang Zhou, Jing Liu, Xin Chen
District heating system is an essential energy infrastructure. Due to the harsh working environment, sensors in district heating substations are prone to faults, which will mislead the control strategies of substations. We propose an online fault detection and diagnosis (FDD) method for sensors in substations. The proposed method establishes a Sequence-to-Sequence Prediction Model based on Long Short-Term
-
Achieving rapid decarbonisation of Canada’s residential sector requires a strategic approach Energy Build. (IF 6.6) Pub Date : 2024-02-19 Heather McDiarmid, Andres Bonner Septien, Paul Parker
Decarbonisation of Canada’s residential sector in line with our Paris Agreement will be challenging. Conventional decarbonisation strategies involve deep energy efficiency upgrades to the building envelope and adoption of low carbon heating systems such as electric heat pumps. However, past retrofit programs have failed to achieve either the rate of upgrades, or the size of energy savings required
-
An experimental and numerical thermal study of a small-scale urban block with courtyard Energy Build. (IF 6.6) Pub Date : 2024-02-18 Omar Charif, Zaid Romani, Adnane M'Saouri El Bat, Abdeslam Draoui
Courtyards, as integral historical elements in architecture, play a crucial role in shaping the environmental and cultural characteristics of a region. Their global significance lies in their capacity to act as microclimate modifiers, significantly impacting the thermal conditions of their immediate surroundings. This study aims to provide a comprehensive exploration of the intricate thermal dynamics
-
Evaluation of passive cooling through natural ventilation strategies in historic residential buildings using CFD simulations Energy Build. (IF 6.6) Pub Date : 2024-02-18 Layla Iskandar, Ezgi Bay-Sahin, Antonio Martinez-Molina, Saadet Toker Beeson
Natural ventilation in hot climates has the potential to save energy by reducing the need to use mechanical systems. Particularly in historic buildings, it should be considered as a passive retrofit strategy before the addition of any mechanical systems to accommodate their unique indoor environmental characteristics and ensure their preservation. This study investigates the efficiency of multiple
-
Local thermal environment and thermal comfort of a novel low-temperature radiant structure using CFD simulation Energy Build. (IF 6.6) Pub Date : 2024-02-18 Yuying Liang, Huijun Wu, Jianming Yang, Gongsheng Huang
A novel low-temperature radiant structure (LTRS) has been developed to create local thermal environment and thermal comfort. This design incorporates an air layer that separates the air-contact surface from the radiant cooling surface, which enables low-temperature radiant cooling, increases cooling capacity and reduces condensation risk. The study addresses the concern of whether the LTRS with low-temperature
-
Assessment of COVID-19 infection Risk, thermal Comfort, and energy efficiency in negative pressure isolation wards with varied ventilation modes Energy Build. (IF 6.6) Pub Date : 2024-02-18 Jiaxin Zhang, Yanan Zhao, Shihao Wen, Daixin Tu, Junjie Liu, Sumei Liu
[Display omitted]
-
Analysis of determining factors in the thermal comfort of university students. A comparative study between Spain and Portugal Energy Build. (IF 6.6) Pub Date : 2024-02-17 P. Romero, V. Valero-Amaro, R. Isidoro, M.T. Miranda
The quality of the indoor thermal environment is essential because of its impact on the energy efficiency of buildings and on the health and well-being of those who occupy them. This is particularly important in educational buildings because of the direct impact on student performance. Various factors, such as natural ventilation, have become particularly relevant since COVID-19. Although this measure
-
Experiment for the performance of a thin membrane inclined automatic wicking dew-point evaporative cooling device based on simulation results Energy Build. (IF 6.6) Pub Date : 2024-02-17 Bo Zhou, Jing Lv, Mengya Zhu, Lihui Wang, Shihao Li, Eric Hu
The traditional indirect evaporative coolers necessitate a continuous operation of water pumps to ensure the wetting of wet channel walls. However, excessive water spraying can lead to a thickened water film, negatively impacting heat transfer efficiency and generating an additional pressure drop. Identifying suitable water supply strategies and exploring materials for the wet channel that possess
-
Corrigendum to “Meta-heuristic optimization based cost efficient demand-side management for sustainable smart communities” [Energy Build. (2024) 113599] Energy Build. (IF 6.6) Pub Date : 2024-02-16 Bhagya Nathali Silva, Murad Khan, Ruchire Eranga Wijesinghe, Udaya Wijenayake
-
Pattern-driven behaviour for demand-side management: An analysis of appliance use Energy Build. (IF 6.6) Pub Date : 2024-02-15 Carlos Cruz, Marcos Tostado-Véliz, Esther Palomar, Ignacio Bravo
Energy communities play a key role in the transition to sustainable energy, helping to inform and engage end-users so that they can become active energy consumers. In practice, trials and pilots often risk failure due to misplaced expectations and unforeseen behaviours when it comes to achieving flexible energy demand resources. In order to tackle these challenges, residential electricity load profile
-
Thermodynamic and economic analyses of modified ejector enhanced solar-air composite dual-source heat pump system in residential buildings Energy Build. (IF 6.6) Pub Date : 2024-02-15 Shengyu Li, Haibo Yang, Jie Yuan, Xinping Zeng, Zhengming Yang, Jun Lu
This research utilizes an ejector enhanced solar-air composite dual-source heat pump (EDHP) system for water heating in residential buildings. The main advantage of the EDHP system is the use of an ejector and dual-heat source to efficiently utilize solar energy, thereby enhancing heating performance. This ejector operates by utilizing a refrigerant stream from the solar collector line with higher
-
An ensemble-based approach for short-term load forecasting for buildings with high proportion of renewable energy sources Energy Build. (IF 6.6) Pub Date : 2024-02-15 Abrar Shahriar Pramanik, Saeed Sepasi, Tung-Lam Nguyen, Leon Roose
The increasing integration of renewable energy sources into large buildings and structures has emphasized the importance of effective control systems to optimize resource use, grid stability, and reliability. In this context, load forecasting is critical for predicting future energy demand and managing the intermittency and variability of renewable energy resources to ensure a stable performance. This
-
-
Challenges and opportunities of occupant-centric building controls in real-world implementation: A critical review Energy Build. (IF 6.6) Pub Date : 2024-02-14 Atiye Soleimanijavid, Iason Konstantzos, Xiaoqi Liu
[Display omitted]
-
Occupants’ inquiries for energy efficiency retrofitting in the Netherlands Energy Build. (IF 6.6) Pub Date : 2024-02-14 Elham Maghsoudi Nia, Queena K. Qian, Henk J. Visscher
-
Corrigendum to “Multi-objective optimization of building envelope components based on economic, environmental, and thermal comfort criteria”. [Energy Build. 305 (2024) 113909] Energy Build. (IF 6.6) Pub Date : 2024-02-13 Fatima Zahra Benaddi, Lahcen Boukhattem, Paulo Cesar Tabares-Velasco
-
Thermal full-field prediction of an air-cooled data center using a novel multi-scale approach based on POD and CFD coupling Energy Build. (IF 6.6) Pub Date : 2024-02-13 Yanjun Dai, Jie Zhao, Xiuli Zhang, Fan Bai, Wenquan Tao, Yungang Wang
A full-knowledge of the temperature distribution in a data center is crucial for the design and operation to avoid thermal failure. However, it is a great challenge to conduct full-field simulations using the computational fluid dynamics/heat transfer (CFD/HT) method due to the unacceptable computational cost caused by the multi-scale structure of data centers. In this paper, a novel multi-scale model
-
Simulation-based optimization method for retrofitting HVAC ductwork design Energy Build. (IF 6.6) Pub Date : 2024-02-13 Zakarya Kabbara, Sandy Jorens, Oskar Seuntjens, Ivan Verhaert
Retrofitting the design of a ductwork system is often a critical aspect when renovating a centralized air distribution system. However, the existing approaches rely on the rules of thumb due to the absence of a standardized guideline for the design retrofitting process. Consequently, design engineers face costly and time-consuming challenges in generating retrofitted designs, particularly when dealing
-
Improved grey principal component analysis neural network based adaptive thermal comfort model: Application in the enclosed cabin with microclimatic conditions Energy Build. (IF 6.6) Pub Date : 2024-02-12 Siyu Chen, Hongjun Xue, Xiaoyan Zhang, Sina Dang, Jue Qu
[Display omitted]
-
Developing a deep neural network model for predicting ventilation rates in public housing buildings in Hong Kong Energy Build. (IF 6.6) Pub Date : 2024-02-11 Ho Kam Dai, Yifu Shi, Chun Chen
In Hong Kong, 45 % of the population live in public housing buildings. This study aimed to develop deep neural network (DNN) models for efficiently predicting the ventilation rates in public housing buildings in Hong Kong in the era of modular flat design. First, a database of ventilation rates in Cheung Tai House, a representative public housing building, under 23 wind conditions and 32 different
-
The cooling effect of different scales of urban parks on land surface temperatures in cold regions Energy Build. (IF 6.6) Pub Date : 2024-02-10 Yaşar Menteş, Sevgi Yilmaz, Adeb Qaid
Green spaces are one of the elements that positively improve the urban microclimate conditions in the cities. This study aims to evaluate the cooling effect of urban parks of varying sizes in cold regions. Three urban parks with different land uses, small scale (size: 0.58 ha), medium scale (size: 1.50 ha), and large scale (size: 17.0 ha) were selected in the Elazig province of Turkey. The impact of
-
A hybrid model based on multivariate fast iterative filtering and long short-term memory for ultra-short-term cooling load prediction Energy Build. (IF 6.6) Pub Date : 2024-02-07 Aung Myat, Namitha Kondath, Yong Loke Soh, An Hui
The current ultra-short-term cooling load forecasting models have not given due attention to the data pre-processing stage. In this paper, multivariate signal decomposition methods MEMD and MvFIF are used in the preprocessing phase to replace the complex signal with simpler subcomponents. The resulting increase in the number of features is tackled through a dimensionality reduction technique, PCA.
-
Hygrothermal performance of straw bales split-insulation wall assembly in cold and humid climates Energy Build. (IF 6.6) Pub Date : 2024-02-07 Yuchen Chen, Xiaodong Alice Wang, Dehong Li, Denis Rodrigue, Louis Gosselin
The abundance of straw in Quebec makes this material an interesting insulation option to reduce the energy consumption of buildings. At the same time, studies indicate that straw bales’ outstanding hygrothermal performance can provide a comfortable living experience for the occupants. However, due to the slightly higher thermal conductivity of straw bales insulation compared to common insulation materials
-
Semi-analytical model of a large-scale water pit heat storage for the long-term thermal applications Energy Build. (IF 6.6) Pub Date : 2024-02-07 Meng Gao, Shuyang Shao, Yutong Xiang, Dengjia Wang, Simon Furbo, Jianhua Fan
Solar district heating systems reduce carbon emissions effectively. Large-scale water pit thermal energy storages (PTES) have high heat capacities, low costs per cubic volume, and long lifetimes. Integrating PTES with a solar heating system can significantly increase solar heating efficiency and alleviate the time and climate constraints of renewable energy. An improved TRNSYS semi-analytical model
-
Strategies for grid-friendly and uncertainty-adaptive design in zero energy buildings Energy Build. (IF 6.6) Pub Date : 2024-02-06 Kai Hu, Chengchu Yan, Chao Xu, Wenjun Li, Jing Ye, Yanfeng Gong, Yizhe Xu
The intermittency and fluctuation of renewable energy sources cause large uncertainties in energy generation, not only leading to an energy imbalance between energy generation and utilization in Zero Energy Buildings (ZEBs) but also causing potential risks to the connected electricity grid. To address this issue, we propose a method for optimizing the design of the energy system in ZEBs, which emphasizes
-
Impact of thermal control by real-time PMV using estimated occupants personal factors of metabolic rate and clothing insulation Energy Build. (IF 6.6) Pub Date : 2024-02-06 Eun Ji Choi, Ji Young Yun, Young Jae Choi, Min Chae Seo, Jin Woo Moon
To optimize thermal comfort for occupants’ wellbeing and health care, it's essential to adjust heating and cooling systems in real-time based on occupants' thermal preferences. For this, personal factors affect individual thermal comfort, such as metabolic rate and clothing insulation, should be estimated in real-time. The aim of this research is introducing an intelligent model capable of estimating
-
Technical research and demonstration projects of the intelligent building for smart grid in China Energy Build. (IF 6.6) Pub Date : 2024-02-05 Xiaogang Jin, Hengxing Bao, Yuanjun Luo, Xiaofang Wang
Through six demonstration projects of intelligent building connected to the smart grid via State Grid Corporation of China(SGCC), which are located in different areas of China with different sizes, all kinds of methods based on the smart grid for improving building power efficiency and integrated technologies are studied, changing previous energy-saving practices that mainly depend on a single product
-
Cooling and lighting effects of new plastic optical fiber lighting system based on high-transmittance heat-insulating film Energy Build. (IF 6.6) Pub Date : 2024-02-05 Ning Liu, Song Xin, Shangxiao Liu, Xuan Zhang, Wanrong Xu, Fucheng Wang
Using plastic optical fibers (POFs) to channel sunlight for indoor lighting is an emerging approach for solar energy utilization. In this study, a long focal length mobile dual-axis automatic sun-tracking spotlighting equipment (DASSE) and a new type of illuminance detection device for illuminance detection were designed. The DASSE consists of high-transmission heat-insulating film, a Fresnel lens
-
InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging Energy Build. (IF 6.6) Pub Date : 2024-02-05 Miguel Martin, Vasantha Ramani, Clayton Miller
This paper studies heat fluxes from contributors and mitigators of urban heat islands using thermal images and weather data. Thermal images were collected by a rooftop observatory between November 2021 and April 2022. Over the same period, weather stations were operating at several locations on a university campus in Singapore. From collected data, a method was defined to estimate sensible and latent
-
Finnish energy renovation subsidies in multifamily apartment buildings: Lessons learnt and best practices Energy Build. (IF 6.6) Pub Date : 2024-02-05 Hatef Hajian, Petri Pylsy, Raimo Simson, Kaiser Ahmed, Paula Sankelo, Alo Mikola, Jarek Kurnitski
This study analysed renovation measures implemented with ARA renovation subsidy in Finland in multifamily apartment buildings. Measured energy data was used to calibrate the energy simulation model of the most typical renovated building from the 1970 s. For the reference building, a comprehensive set of renovation packages were applied to assess the performance of ARA grants. It was noticed that official
-
The effect of unidirectional airflow on health care–associated infections in burn intensive care unit: An interrupted time-series analysis Energy Build. (IF 6.6) Pub Date : 2024-01-30 Zheng Ding, Meng-nan Chen, Chen-jun Xie, Mei-dan Wang, Qin-fang Yuan, Dan Sun, Peng Zhao, Feng-lai Yuan, Ke-wei Wang
Healthcare-associated infections (HCAIs) can cause severe complications in patients in the burn intensive care unit (BICU). To avoid biological patient contamination, healthcare facilities use unidirectional airflow with filtered air flows from the ceiling towards the floor. The impact of unidirectional systems on BICU patients' HCAIs are ambiguous. On October 1, 2020, the affiliated hospital of Jiangnan