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Characterization and prediction of demand response potential of air conditioning systems integrated with chilled water storage Energy Build. (IF 6.6) Pub Date : 2024-09-13 Wanfang Zhao, Jinqing Peng, Jingyu Cao, Rongxin Yin, Jiaming Song, Yanping Yuan
Chilled water storage offers a cost-effective and convenient solution for load flexibility of air-conditioning systems. However, its impacts on system flexibility and energy efficiency have not been comprehensively explored. In this paper, demand response (DR) potential delivered by chilled water storage was explored and predicted through both experimental and simulation studies. The initial experimental
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Advancing building energy modeling with large language models: Exploration and case studies Energy Build. (IF 6.6) Pub Date : 2024-09-13 Liang Zhang, Zhelun Chen, Vitaly Ford
The rapid progression in artificial intelligence has facilitated the emergence of large language models like ChatGPT, offering potential applications extending into specialized engineering modeling, especially physics-based building energy modeling. This paper investigates the innovative integration of large language models with building energy modeling software, focusing specifically on the fusion
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Comparative assessment of simple and detailed energy performance models for urban energy modelling based on digital twin and statistical typology database for the renovation of existing building stock Energy Build. (IF 6.6) Pub Date : 2024-09-12 Jaanus Hallik, Endrik Arumägi, Ergo Pikas, Targo Kalamees
The renovation wave calls for an integrated, participatory, and neighbourhood to neighbourhood approach tailored to the local environments. This can be hindered by the lack of geometric and performance input data about the existing building stock. A parametric digital urban building energy modelling (UBEM) tool was developed for local municipalities to automate calculations for comprehensive renovation
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Classification of radiant and convection time series for cooling load calculation of radiant cooling systems Energy Build. (IF 6.6) Pub Date : 2024-09-11 Xinchao Zhang, Youming Chen, Baisong Ning
Radiant cooling systems have the potential for energy saving, better thermal comfort, and space-saving. The lack of cooling load calculation methods limits the engineering application of radiant cooling systems. A universal radiant and convection time series (RCTS) set is indispensable in radiant cooling system design. In this study, an RCTS dataset with 100,000 sample rooms is generated based on the
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A review of resistance–capacitance thermal network model in urban building energy simulations Energy Build. (IF 6.6) Pub Date : 2024-09-11 Junlu Yang, Hanning Wang, Linmiao Cheng, Zhi Gao, Fusuo Xu
With the increasing population and urbanization promotion, energy consumption and carbon emissions have increased, and concern for inefficient energy use and deteriorating urban environments is growing. The prediction of building energy consumption and environmental evaluation, especially at large scales, are considered to be a major challenge confronting the research community. An outstanding strategy
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Dynamic grid emission factors and export limits reduce emission abatement and cost benefits of building PV systems Energy Build. (IF 6.6) Pub Date : 2024-09-10 Linda Brodnicke, Alissa Ganter, Sven Tröber, Giovanni Sansavini, Natasa Vulic
Photovoltaic (PV) installations in the building sector are expected to play a crucial role in Switzerland's efforts to achieve decarbonization targets. Nevertheless, most analyses on PV system design prioritize economic factors, and overlook the impact of angle-dependent PV generation, dynamic grid greenhouse gas (GHG) emissions, and export limitations on their emission abatement potential during operation
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A comprehensive study on the impacts of thermal comfort on occupants’ thermophysiology and cognitive performances in a radiant cooling environment using physiological measurements Energy Build. (IF 6.6) Pub Date : 2024-09-10 Shanshan Li, Yanxue Li, Weijun Gao, Fu Xiao
Radiant cooling (RC) systems are increasingly implemented in public buildings to enhance human thermal comfort and reduce building energy consumption. The quality of the indoor thermal environment significantly impacts occupants’ learning and work performance. This investigation explores indoor occupants’ dynamic physiological regulation, thermal comfort, and cognitive performance under radiant whole-wall
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A comparative life cycle assessment of fifth-generation district heating and cooling systems Energy Build. (IF 6.6) Pub Date : 2024-09-07 Kristian Gjoka, Robert H. Crawford, Behzad Rismanchi
With the growing global demand for cooling, there is a critical need for sustainable solutions that efficiently provide both heating and cooling. Fifth-generation district heating and cooling (5GDHC) systems present a promising option, integrating renewable energy and enabling energy sharing. Despite their potential, the environmental performance of 5GDHC systems has not been comprehensively studied
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Theoretical investigation of two ideal radiative cooling materials and radiative sky water-cooling module with ideal selective radiative materials Energy Build. (IF 6.6) Pub Date : 2024-09-07 Xiufeng Yang, Shuting Wang, Dong Zhang, Jia Yu
Radiative sky cooling (RSC) is a passive approach to cool an object by emitting infrared thermal radiation to the cold outer space without any energy input and any pollutant produced. It has the potential to meet the rapidlygrowingdemandfor cooling. Radiative cooling materials and real-world applications are two concerns in RSC field. In this study, the cooling performance of two types of ideal radiative
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Cfd-based optimization of Direct evaporative cooling systems for canarian greenhouses in Semi-Arid regions Energy Build. (IF 6.6) Pub Date : 2024-09-07 Fatima Ezzahra Allali, Hicham Fatnassi, Hassan Demrati, Francisco Domingo Molina Aiz, Lahoucine Gourdo, Younes Errami, Ahmed Wifaya, Ahmed Aharoune
Direct Evaporative Cooling Systems (DECS) offer a promising solution for mitigating heat stress in greenhouses located in arid and semi-arid regins. To implement DECS efficiently in these regions, it is crucial to understand their impact on greenhouse microclimate parameters. This study investigates the influence of DECS on the microclimate within a canarian greenhouse and identifies key factors affecting
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Experimental evaluation of the temperature related behaviour of pigment based coloured BIPV modules integrated in a ventilated façade Energy Build. (IF 6.6) Pub Date : 2024-09-07 Martina Pelle, Martino Gubert, Enrico Dalla Maria, Alexander Astigarraga, Stefano Avesani, Laura Maturi
Coloured BIPV installations require an accurate balance between aesthetic and energy aspects. This study explores the integration of Building Integrated Photovoltaic (BIPV) modules into building envelopes to enhance energy efficiency while maintaining aesthetic appeal. To achieve this goal, a real-scale mock-up was realized within the INFINITE project at the PV Integration Lab of Eurac Research to
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Three-phase power flow solution for multi-grounded four-wire residential networks considering neutral grounding Energy Build. (IF 6.6) Pub Date : 2024-09-06 Nien-Che Yang, Song-Ting Zeng
This paper proposes a three-phase four-wire power flow method based on the bus frame of reference for neutral-grounded distribution systems. The proposed method integrates mathematical component models using graph theory and current-injection techniques. The accuracy of the proposed direct method and network models for multi-grounded systems was validated using the IEEE 13-bus test system. The convergence
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Estimating sensitivity of interrupted energy and outage costs for customers in government, institutions and office buildings due to distribution grid failures using multilevel Monte Carlo technique Energy Build. (IF 6.6) Pub Date : 2024-09-06 A.S. Nazmul Huda, Rastko Živanović
Customers in the government, institutions (GI) and office buildings (OB) sectors face substantial financial losses when their operations are interrupted by power distribution grid failures. Several factors affect the amount of interrupted energy, also known as Expected Energy Not Supplied (EENS) as well as the Expected Customer Outage Cost (ECOST). These factors include line/cable failure rates, restoration
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Photovoltaic self-sufficiency potential at a district scale in Madrid. A scalable methodology Energy Build. (IF 6.6) Pub Date : 2024-09-06 Irene Del Hierro López, Jesús Polo, Nuria Martín Chivelet, Francesca Olivieri, Estefanía Caamaño-Martín, Lorenzo Olivieri
The phenomenon of global change is prompting the implementation of measures aimed at mitigating various effects, with humans being primarily impacted. The objective of this investigation is to analyse the potential self-sufficiency in the built environment through the utilisation of energy generated by photovoltaic systems. These systems have the capacity to reduce or even eliminate the reliance on
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Applicability of developing an affordable eco-friendly switchable insulation for sustainable building envelopes in a hot climate: Comprehensive review Energy Build. (IF 6.6) Pub Date : 2024-09-06 Alaa Salah, Sameh Nada, Hatem Mahmoud
Traditional insulation materials have limitations concerning adaptability and sustainability. In contrast, Switchable Insulation Systems (SISs), which modulate their thermal properties based on environmental conditions, present a promising alternative. Despite that, their application-based affordability requires further research. This review investigates the applicability of developing SISs using low-cost
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A deep learning-based Bayesian framework for high-resolution calibration of building energy models Energy Build. (IF 6.6) Pub Date : 2024-09-06 Gang Jiang, Yixing Chen, Zhe Wang, Kody Powell, Blake Billings, Jianli Chen
Calibrating building energy models (BEMs), i.e., closing discrepancy between modeling and field measurements, is of significance to support its applications in building sustainability and resilience analysis. However, as being widely used in practice, current Bayesian calibration is mostly performed in low-resolution (annual or monthly), instead of high-resolution (hourly or sub-hourly), which is crucial
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Impact of the energy crisis on indoor temperatures and thermal comfort in UK houses during winter 2023 Energy Build. (IF 6.6) Pub Date : 2024-09-05 Omar Al-Hafith, Satish BK, Pieter de Wilde
Geopolitical, health and economic events have led to an accumulated surge in energy prices in the UK at the beginning of the 2020s. In response, studies and media reports show that households have had to reduce the running of their heating systems to cut their energy bills. However, there is limited research on the impact of this context on indoor thermal conditions and occupants’ ability to meet their
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Comprehensive review and state of play in the use of photovoltaics in buildings Energy Build. (IF 6.6) Pub Date : 2024-09-05 P. Bonomo, F. Frontini, R. Loonen, A.H.M.E. Reinders
The integration of renewable energy technologies in architecture is crucial for achieving low-carbon buildings and cities. Building-integrated photovoltaics (BIPV) represent a dynamic intersection of energy technology and sustainable construction practices. Despite the numerous available products, BIPV installations remain limited, highlighting a global need for upscaling and capacity building. This
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Comparative study of optimization methods for building energy consumption and daylighting performance Energy Build. (IF 6.6) Pub Date : 2024-09-05 Bahereh Vojdani, Morteza Rahbar, Mohammadreza Fazeli, Mohammad Hakimazari, Holly W. Samuelson
When striving for sustainable development, designers encounter the formidable task of integrating the advantages of daylighting into energy-efficient designs. The process of investigating a multitude of design variables can be arduous and time-intensive. However, computational simulations provide indispensable insights into forecasting performance. A considerable number of these design challenges do
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A novel probabilistic load shifting approach for demand side management of residential users Energy Build. (IF 6.6) Pub Date : 2024-09-05 Fatih Çakıl, İbrahim Gürsu Tekdemir
Demand side management is a beneficial set of techniques which leads improving consumption profile of residential users. Practice of dynamic pricing and appropriate shifting of electrical appliances at home are important tasks at that point. In this study, a novel probabilistic load shifting strategy is proposed and its beneficial effects on economic and technical parameters are demonstrated. For that
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Energy poverty under 2M indicator: Feasibility of decrease by using passive techniques in residential buildings of Southeast Mexico Energy Build. (IF 6.6) Pub Date : 2024-09-04 M. Jiménez Torres, Alexis Pérez-Fargallo, O. May Tzuc, L. Ricalde Castellanos, A. Bassam, M. Flota-Bañuelos, Carlos Rubio-Bellido
Energy poverty is a global issue that affects many people and intersects with both politics and science. The work aims to identify the risk of energy poverty for Mexico within one of the most representative buildings for its population, known as social housing. It analyzed the fluctuation of this phenomenon by applying passive construction strategies at the 1,119 municipalities that make up the eight
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Cooling capacity evaluation of ceiling radiant cooling panels using thermoelectric module Energy Build. (IF 6.6) Pub Date : 2024-09-04 Mi-Su Shin, Sang-Yeop Kim, Kyu-Nam Rhee
Cooling capacity is a critical factor for designing and operating ceiling radiant cooling panel (CRCP) systems. Although full-scale tests can accurately measure cooling capacity, they require considerable time, space, and costs to construct test facilities and conduct experiments. Furthermore, evaluating individual CRCPs and investigating the impact of air velocity on their cooling capacity is challenging
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Optimized spatial tool for the implementation of ground source heat pump coupled with photovoltaic panels heating systems in urban areas Energy Build. (IF 6.6) Pub Date : 2024-09-04 Adela Ramos-Escudero, Teresa Magraner, Isabel C. Gil-García
The growth of the urban population intensifies climate change due to the increase in activities that emit greenhouse gases, such as heating. However, proper urban planning and effective environmental policies can mitigate these impacts and foster a sustainable future. This study proposes an optimized spatial tool to implement renewable coupled heating systems in urban areas, combining geothermal heat
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Construction engineering in China under green Transition: Policy research Topic clusters and development forecasts Energy Build. (IF 6.6) Pub Date : 2024-09-03 Peng Meng, Jinshan Shen, Chen Shen, Junjie Li, Jiashuai Kang, Tianrui Li
China’s construction engineering market is gradually transitioning towards high-quality development, driven by policies such as green and low-carbon. Identifying research topics for China’s construction engineering policy and predicting future research trends are crucial for policymakers to make informed decisions and promote the transformation of the construction industry. This study combines Latent
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Energy, economic and environmental analysis of a photovoltaic-thermal integrated dual-source heat pump system under a system coefficient of performance − based switching strategy Energy Build. (IF 6.6) Pub Date : 2024-09-03 Xuejing Sang, Minglu Qu, Nannan Yan, Zhao Li, Hongzhi Liu
The photovoltaic-thermal integrated dual-source heat pump system can offer performance improvement by addressing the limitations of a single heat pump system, which not only improves energy efficiency and system performance but also reduces pollutant emissions. However, the operational performance of the system is significantly affected by different switching strategies between two heat sources, which
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Optimizing energy consumption in smart buildings: A model for efficient energy management and renewable integration Energy Build. (IF 6.6) Pub Date : 2024-09-02 Ting Jing, Yahui Zhao
In the current landscape of sustainable energy, integrating photovoltaic (PV) generation and electric vehicles (EVs) into household energy management systems (EMSs) has become a pivotal strategy to enhance grid sustainability in residential areas and provide economic benefits to homeowners. This article introduces an innovative approach to an energy administration framework designed for intelligent
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Geopolymer-based insulated wall incorporating construction and demolition waste: Experimental assessment of thermo-physical behavior Energy Build. (IF 6.6) Pub Date : 2024-09-02 Rosa Francesca De Masi, Silvia Ruggiero, Alessandro Russo, Giuseppe Peter Vanoli
The benefit of the application of geopolymers in the building sector is nowadays undisputed. In addition to good structural characteristics, these are characterized by interesting thermophysical properties, obtained through a production process, that reduces CO emissions and could incorporate recycled material, thus responding to environmental sustainability. However, it is noted the lack of studies
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A concept for non-uniform thermal irradiation emulation in an immersive virtual environment Energy Build. (IF 6.6) Pub Date : 2024-09-01 Karsten Tawackolian, Lukas Schmitt, Martin Kriegel
This study addresses the challenge of emulating human thermal environments without the need to build physical mock-ups. The aim is to complement the established technology of emulating visual environments with head-mounted displays. For the user, the virtual environment (VE) emulates an arbitrary indoor environment including visual and thermal aspects. In contrast to conventional climate chambers,
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Impact of control strategies on energy consumption in cold storage facilities Energy Build. (IF 6.6) Pub Date : 2024-09-01 Heng Niu, Baolong Wang, Zixu Yang, Xinyi Liu, Xinghua Liu, Wenxing Shi
The fast development of global cold chains has led to a rapid increase in cold storage facilities capacity, in which consumes substantial amounts of energy. However, limited research has been conducted on the energy consumed by cold storage facilities, and the time and economic costs of obtaining long-term measurements of annual energy consumption of cold storage facilities are high. Therefore, in
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Optimizing thermal comfort and energy efficiency in hospitals with PCM-Enhanced wall systems Energy Build. (IF 6.6) Pub Date : 2024-08-31 Hongzhi Cui, Lezhi Zhang, Haibin Yang, Yuan Shi
Currently, outpatient areas in hospital buildings daily accommodate a significant number of patients with various diseases, presenting a dual challenge of augmenting architectural energy efficiency while concurrently elevating levels of indoor comfort. This research introduces a novel approach to enhancing hospital optimal design: by incorporating Phase Change Materials (PCM) within the architectural
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Optimal scheduling of green heating systems in buildings considering economy and exergy efficiency Energy Build. (IF 6.6) Pub Date : 2024-08-31 Yuanyuan Dai, Jianyan Tian, Shuwei Liu, Zhengxiong Ji
Green heating in buildings is of great significance to global energy conservation and emission reduction, and the design of optimal scheduling models is the key to achieve cost reduction and efficiency improvement in heating systems. For the building heating system containing multiple heterogeneous energy sources such as solar energy, air energy and electricity, a multi-objective optimal scheduling
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Thermophysical properties and energy-saving efficiency of phase change microcapsule foamed cement composite insulation materials Energy Build. (IF 6.6) Pub Date : 2024-08-31 Lingyong Ma, Xinyue Zhao, Enmin Fu, Qing Li, Wei Jiang, Lidi Huang, Yongyi Zhang, Zhipeng Ju
The addition of phase change materials (PCMs) to building envelopes can improve building thermal stability and reduce energy consumption. In this study, phase change paraffin microcapsules are combined with foamed cement to create composite thermal insulation materials with varying mass ratios of microcapsules. A heat transfer characterization experimental platform was established to investigate the
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Digital twin (DT) and extended reality (XR) for building energy management Energy Build. (IF 6.6) Pub Date : 2024-08-31 Seungkeun Yeom, Juui Kim, Hyuna Kang, Seunghoon Jung, Taehoon Hong
In the era of the Fourth Industrial Revolution (Industry 4.0), sustainable development, especially in building energy management, is not optional but essential. This study aims to explore the multifaceted impact of Digital Twin (DT) and Extended Reality (XR) technologies on building energy management. Based on a comprehensive review of DT and XR, this research identifies the limitations of each technology
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Climate change mitigation and adaptation in Spanish office stock through cool roofs Energy Build. (IF 6.6) Pub Date : 2024-08-31 Lídia Rincón, Marta Gangolells, Marc Medrano, Miquel Casals
In a context of climate change, the cooling period of buildings is increasing every year in Mediterranean countries. This will become a relevant issue when existing buildings are retrofitted. Cool roofs have a passive cooling effect on a building and can contribute to decreasing the annual cooling demand. In office buildings, thermal comfort has a considerable influence on workers’ performance. In
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Extension of a low-tech Model Predictive Control (MPC) algorithm for grid-supportive heat pump operation Energy Build. (IF 6.6) Pub Date : 2024-08-31 Vukasin Klepic, Magdalena Wolf, Tobias Pröll
This paper presents the further development of a low-tech Model Predictive Control (MPC) for the grid-friendly operation of heat pumps. The developed algorithm is already available in the literature and successfully implemented in multiple buildings. The overall goal is, to predictively optimize comfort parameters taking into account weather forecast data for 48 h. A simple mathematical building model
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Advanced thermal prediction for green roofs: CNN-LSTM model with SSA optimization Energy Build. (IF 6.6) Pub Date : 2024-08-31 Jun Wang, Ding Xu, Wansheng Yang, Ling Lai, Feng Li
Green roofs serve as an innovative strategy for urban architecture, playing a pivotal role in mitigating urban heat island effects and enhancing building energy efficiency. This study proposes a hybrid model based on the Sparrow Search Algorithm (SSA) optimized Convolutional Neural Network − Long Short-Term Memory Network (CNN-LSTM) for rapid and accurate prediction of the thermal performance of green
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Investigating the influence of uncertainty on office building energy simulation through occupant-centric control and thermal comfort integration Energy Build. (IF 6.6) Pub Date : 2024-08-31 Eunho Kang, Hyomun Lee, Jongho Yoon, Heejin Cho, Chatchawan Chaichana, Dongsu Kim
Buildings with occupant-centric control (OCC) systems can adjust heating, ventilation, and air conditioning (HVAC) operations based on occupant status to minimize unnecessary energy use. However, because occupant behavior is stochastic rather than constant, and preferred setpoints can vary across occupant groups, this randomness significantly impacts energy use in buildings with OCC systems.
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Performance investigation of solution-processed semi-transparent perovskite solar cells in building sectors Energy Build. (IF 6.6) Pub Date : 2024-08-31 Chaojie Wang, Kaiyuan Kang, Chunguang Cai, Xingjiang Liu, Chao Shen, Yongqi Liang, Julian Wang
Semi-transparent perovskite solar cell (PSC) windows have received much attention from scholars due to their remarkable power generation capacity and thermal insulation performance. However, considering the complexity of their fabrication process, and the significant decrease in power generation efficiency when scaling up to large-sized solar modules. To solve the above problems, this study developed
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Equipment control algorithm for cooling plant based on graph theory and path planning Energy Build. (IF 6.6) Pub Date : 2024-08-30 Qingbin Lin, Lun Zhang, Bo Yang, Junjie Chen
This paper presents a novel path planning-based start-stop control algorithm for equipment in cooling plants designed to address the limitations of traditional serial start-stop control logic. The algorithm employs graph theory and path planning techniques to abstract the cooling plant schematic into a directed graph, enabling the selection of appropriate control paths and facilitating effective start-stop
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Energy transition in the retail sector: Revealing decision-making behaviours for energy efficiency retrofits of Dutch shopping centres Energy Build. (IF 6.6) Pub Date : 2024-08-30 Maria Fernanda Villalba Muñoz, Queena K. Qian, Erwin Mlecnik
Shopping centres hold significant energy retrofit potential in the retail sector. However, their complex multi-stakeholder governance structure complicates decision-making for Energy Efficiency Retrofits (EER). Although literature identifies some barriers linked to EER, they are often scattered and not identified within a process perspective that considers their contextual complexities. This study
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Improving building retrofit Decision-Making by integrating passive and BIPV techniques with ensemble model Energy Build. (IF 6.6) Pub Date : 2024-08-30 Ke Li, Wenzhou Zhong, Tong Zhang
The problem of decision-making support for sustainable building renovation is receiving considerable attention, focusing on reducing cumulative carbon emissions from the global building stock. However, most research is limited to passive systematic renovation planning during the early design stage, while the current optimization lacks a balance between interpretability and performance. We propose a
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Prospect of energy conservation measures (ECMs) in buildings subject to climate change: A systematic review Energy Build. (IF 6.6) Pub Date : 2024-08-30 Zhuocheng Duan, Pieter de Wilde, Shady Attia, Jian Zuo
Energy conservation measures (ECMs) are often chosen for their immediate benefits, such as suitability to past/current climate conditions and rapid economic returns. However, the longevity of these ECMs poses a risk of becoming outdated or ineffective as climate change alters the very climatic parameters they were designed for. This paper provides insight into the foresight required when selecting
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Deep spatio-temporal feature fusion learning for multi-step building cooling load forecasting Energy Build. (IF 6.6) Pub Date : 2024-08-30 Mingxuan Zou, Wenjun Huang, Jianxiang Jin, Bin Hu, Zhiyong Liu
Accurate forecasting of building cooling load is essential for optimizing control strategies and energy efficiency in heating, ventilation, and air conditioning (HVAC) systems. However, existing machine learning and deep learning algorithms encounter challenges in addressing the dynamics and uncertain nature of cooling load demand, as they solely focus on temporal analysis. To tackle this issue, the
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Yield analysis of a BIPV façade prototype installation Energy Build. (IF 6.6) Pub Date : 2024-08-30 Markus Babin, Nanna Lysgaard Andersen, Jacob Krum Thorning, Sune Thorsteinsson
Building integrated photovoltaics (BIPV) typically operate under different conditions compared to standard PV due to non-optimal orientations, poor ventilation, or additional losses in coloured modules. In this work, a test site for BIPV curtain wall façades was constructed at the Technical University of Denmark (DTU) and monitored for a full year. This data is used to analyze various performance aspects
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Building retrofitting towards net zero energy: A review Energy Build. (IF 6.6) Pub Date : 2024-08-30 Mahdi Ibrahim, Fatima Harkouss, Pascal Biwole, Farouk Fardoun, Salah Ouldboukhitine
High energy consumption is a critical problem that governments are trying to overcome. The concept of Net Zero Energy Building (NZEB) has recently emerged as one of the solutions that can help address this problem, reduce pollution impacts, and mitigate the effects of global warming. The present paper discusses the current research on building energy retrofitting through a comprehensive review of more
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Dynamic Cooling – A concept of time-sensitive thermal regulation to cut cooling energy demand in office buildings Energy Build. (IF 6.6) Pub Date : 2024-08-29 Sebastian Clark Koth, Bilge Kobas, Amelie K. Reitmayer, Christian Hepf, Thomas Auer
This paper focuses on how the existing sealed office typology can adapt to a warming world while minimizing the high energy demand for space cooling, through , by adjusting the cooling temperature profile towards the average human circadian rhythm to mitigate heat stress during times of heightened thermal sensitivity. This concept is explored through a study in which we compared the effects of , constant
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Workflow to support cost-benefits comparison and sensitivity analysis of BIPV case studies: Three examples of BIPV facades in the south of Switzerland Energy Build. (IF 6.6) Pub Date : 2024-08-29 Paolo Corti, Alberto Follo, Pierluigi Bonomo
The building skin surfaces represent a vast potential for decentralising renewable energy investments and offering unique opportunities for prosumers thanks to the built environment. Despite the recognised potential of building-integrated photovoltaics (BIPV), cost-effectiveness is still a market barrier to accelerate deployment. The literature reports investigations on costs at product level and cost-effectiveness
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Research on the coordinate regulation behavior of window opening and split air conditioners usage during summer in mixed-cooling houses in hot-humid regions Energy Build. (IF 6.6) Pub Date : 2024-08-29 Jie Han, Zhuoying He, Zhishan Li, Nan Mo, Fuhao Xie, Wei Yang, Chen Zhang
In the hot-humid regions of South China, it is common for residents to utilize a combination of window opening and split air conditioners to cool their houses during summer. However, existing research focuses on investigating either window opening behavior or air conditioner usage behavior respectively, lacking a linkage study between these two approaches. Addressing this research gap, a novel coordinated
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Evaluating building-level parameters for lower-temperature heating readiness: A sampling-based approach to addressing the heterogeneity of Dutch housing stock Energy Build. (IF 6.6) Pub Date : 2024-08-29 Prateek Wahi, Thaleia Konstantinou, Henk Visscher, Martin J. Tenpierik
The Dutch government aims to eliminate natural gas for residential heating in 1.5 million homes by 2030. One strategy is connecting existing dwellings to lower-temperature district heating (DH) systems, although these dwellings might require energy renovations. The heterogeneous dwelling stock causes varying renovation needs that complicate the energy transition. The present study addresses this issue
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An experimental study on the effect of room setpoint temperature, and evaporator/condenser fouling on performance of a ductless split type air conditioner Energy Build. (IF 6.6) Pub Date : 2024-08-28 Mohammad Niknami, Siavash Maniee, Ali Asghar Farokhi Rad, Shabnam Mansoori, Masoud Yahaghi
Ductless splits can have several advantages over conventional systems including energy saving, improved thermal comfort, and performance. A deep understanding of the effect of changes in operating conditions of the unit is required to estimate the energy saving in the field. In this paper, a reference guide is created to classify the effects of different parameters on the performance of the ductless
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Energy saving starts in the kitchen Energy Build. (IF 6.6) Pub Date : 2024-08-28 Gabriele Bartolozzi, Giulia Palma, Antonio Rizzo
The field of sustainable construction and interior design demands innovative solutions to optimize energy efficiency and minimize environmental impact. This need has been further amplified by the European Community's Directive on Energy Efficiency 2012/27/EU and its subsequent revisions. The kitchen, as a central hub of domestic energy use, presents a significant opportunity for improvement. This paper
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PCM as an energy flexibility asset: How design and operation can be optimized for heating in residential buildings? Energy Build. (IF 6.6) Pub Date : 2024-08-27 Hang Yin, Alireza Norouziasas, Mohamed Hamdy
In cold climates, residential buildings are often well-insulated to reduce heating costs but may lead to overheating. Incorporating Phase Change Material (PCM) into building envelope can serve as an effective measure to mitigate overheating and reduce cooling costs. However, the inappropriate incorporation of PCM in well-insulated building envelope might negatively affect the heating energy flexibility
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Machine learning optimization of a zero energy building (ZEB) by waste heat recovery in a co-generation system Energy Build. (IF 6.6) Pub Date : 2024-08-26 Ehsanolah Assareh, Parisa Kazemiani-Najafabadi, Ehsan Amiri Rad, Mohammad Firoozzadeh, Ehsan Farhadi, Saurabh Agarwal, Xiaolin Wang, Mehdi Hosseinzadeh, Wooguil Pak
Waste heat recovery is known as one of the newest methods to increase the energy and exergy efficiencies of thermal systems. The concept has been also developed in co-generation systems where productions of electricity, cooling and heating are considered, simultaneously. This study investigates tri-generation system with a co-generation ammonia-water cycle (AWC) and an organic Rankine cycle (ORC) to
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Experimental and numerical performance analysis of an active cooling wall module equipped with micro-encapsulated phase change material Energy Build. (IF 6.6) Pub Date : 2024-08-26 Yang Xue, Carina da Silva, Nadja Bishara
The application of phase change materials (PCMs) combined with radiant cooling systems (RCS) in the building sector has attracted enormous interest in recent years owing to its thermal storage potential and feasibility for small-scale energy renovation of existing buildings. Different configurations of these systems and their performance have been experimentally tested and academically investigated
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Data-driven analysis of heating and cooling base temperatures for buildings: Case studies in South Korea Energy Build. (IF 6.6) Pub Date : 2024-08-25 Hye Gi Kim, Sun Sook Kim, Hyeunguk Ahn
To investigate statistical differences in the heating () and cooling base temperatures () across various building types, vintages, and sizes, we conducted case studies in Seoul, South Korea, based on data from more than 10,000 buildings. To assess the relative impacts of internal and external loads on and , we used a core-to-perimeter zone ratio approximated by the average floor area, defined as the
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Multi-source transfer learning method for enhancing the deployment of deep reinforcement learning in multi-zone building HVAC control Energy Build. (IF 6.6) Pub Date : 2024-08-24 Fangli Hou, Jack C.P. Cheng, Helen H.L. Kwok, Jun Ma
Deep reinforcement learning (DRL) control methods have shown great potential for optimal HVAC control, but they require significant time and data to learn effective policies. By employing transfer learning (TL) with pre-trained models, the need to learn the data from scratch is avoided, saving time and resources. However, there are two main critical issues with this approach: the inappropriate selection
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Willingness-to-pay for low-carbon residential heating systems: A discrete choice experiment among Dutch households Energy Build. (IF 6.6) Pub Date : 2024-08-23 Lennard Rekker, Daan Hulshof, Michaela Kesina, Machiel Mulder
Most studies on decarbonizing space and water heating focus on the potential of low-carbon heating technologies from a top-down perspective, while there has been limited research on consumer preferences for low-carbon heat. To address this gap, we conduct a discrete-choice experiment among 1797 individuals in the Netherlands to estimate the willingness-to-pay (WTP) for residential-heating systems.
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Evaluation of physiological and thermal comfort effectiveness of ceiling fan and table fan during a heat wave Energy Build. (IF 6.6) Pub Date : 2024-08-23 Sushant Suresh Bhuvad, Ruoyu You, Qingyan Chen
Heat waves are becoming a significant global concern as they have substantial repercussions on human health. Further, the adverse impact of heat waves on health will likely worsen globally. The use of electric fans is an energy-saving and sustainable cooling strategy against heat waves, but current health guidelines discourage fan use during heat waves. Previous research has shown that health guidelines
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Exploring automated energy optimization with unstructured building data: A multi-agent based framework leveraging large language models Energy Build. (IF 6.6) Pub Date : 2024-08-22 Tong Xiao, Peng Xu
The building sector is a significant energy consumer, making building energy optimization crucial for reducing energy demand. Automating energy optimization tasks eases the workload on engineers and hastens energy savings. More than 85% of building data is unstructured and diverse, concealing energy insights that demand laborious extraction. We propose an LLM-based multi-agent framework to explore
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Overview of occupant-centric KPIs for building performance and their value to various building stakeholders Energy Build. (IF 6.6) Pub Date : 2024-08-22 Sleiman Sleiman, Mohamed Ouf, Wei Luo, Rick Kramer, Wim Zeiler, Esther Borkowski, Tianzhen Hong, Zoltan Nagy, Zhelun Chen
Recognizing the significance of occupants and their interactions with the building’s operational systems, various occupant-related key performance indicators (KPIs) have been established. However, there remains a notable gap concerning the practical utilization of these indicators by building stakeholders. Therefore, this study provides a comprehensive overview of the occupant-related building performance