Article
Green & Sustainable Science & Technology
Rafael Campama Pizarro, Ricardo Bernardo, Maria Wall
Summary: The building sector has a significant impact on greenhouse gas emissions through energy consumption and resource utilization. In order to achieve decarbonization, energy renovation of buildings is crucial as it reduces operational energy consumption and avoids the environmental impact of new constructions. This study proposes a methodology to streamline the process of building energy modeling using open-access datasets, making large-scale evaluations more feasible.
Article
Green & Sustainable Science & Technology
Maikel Issermann, Fi-John Chang, Pu-Yun Kow
Summary: The study introduces a Functional Mockup Interface (FMI)-based Urban Building Energy Modelling (UBEM) tool that couples with external models, enabling real-time estimation of building energy demand based on environmental conditions, enhancing its applicability. The tool was tested on a real-world example in Wuppertal, Germany, demonstrating effective building simulation and energy demand assessment using urban microclimate data.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Chunbo Zhang, Mingming Hu, Benjamin Sprecher, Xining Yang, Xiaoyang Zhong, Chen Li, Arnold Tukker
Summary: Recycling construction and demolition waste for manufacturing prefabricated concrete elements shows potential for building energy renovation, but challenges remain for meeting the demand of emerging materials like lightweight concrete in large-scale refurbishment.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Guirec Ruellan, Mario Cools, Shady Attia
Summary: This study focuses on characterizing the Walloon residential building stock and analyzing the correlations between technical data and socioeconomic data of the occupants. The research highlights the importance of considering specific socioeconomic categories, such as low-income groups, in energy renovation strategies. Results show a direct relationship between an increase in household income between 10,000-20,000 EUR and the improvement in the average energy efficiency of the building stock.
Article
Geosciences, Multidisciplinary
Danhua Xin, James Edward Daniell, Hing-Ho Tsang, Friedemann Wenzel
Summary: This paper developed a high-resolution residential building exposure model for 31 provinces of mainland China using finer urbanity-level population and building-related statistics extracted from the 2010 census data. The model's performance was evaluated to be satisfactory, confirming its practicability in seismic risk assessment.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Construction & Building Technology
Ingrid Allard, Gireesh Nair, Thomas Olofsson
Summary: This study compares the energy performance criteria and their relative stringency in the latest residential building codes of Finland, Norway, Sweden, and Russia, finding that national standard input data have a significant influence on the compliance of buildings with energy use criteria.
ENERGY AND BUILDINGS
(2021)
Article
Green & Sustainable Science & Technology
Roohollah Taherkhani, Najme Hashempour, Mitra Lotfi
Summary: Urban revitalization provides an opportunity to rethink sustainability and resilience in a district, with location, transportation, building added value, and quality of life being identified as the most important factors. Over 80% of respondents believe adherence to sustainability and resilience considerations will increase project costs and time.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Wei Zhou, Alice Moncaster, Eoghan O'Neill, David M. Reiner, Xinke Wang, Peter Guthrie
Summary: China's construction boom has led to a significant flow of materials and energy consumption, resulting in carbon emissions. However, there is a lack of research on the embodied energy of Chinese buildings, especially regarding future scenarios. This study develops a probabilistic model to forecast the trajectories of embodied energy in residential buildings, highlighting the importance of taking a whole-life perspective in addressing building energy.
Article
Construction & Building Technology
Marta Maria Sesana, Graziano Salvalai, Diletta Brutti, Corinne Mandin, Wenjuan Wei
Summary: Since 2002, the Energy Performance of Buildings Directive has aimed to improve efficiency gains in the EU building sector. The 2018 directive introduced the concept of a Building Renovation Passport to provide more reliable information on energy savings potential. Despite facing challenges, the ALDREN project supports decision-making and investment in deep energy renovation of nonresidential buildings.
Article
Construction & Building Technology
Ray Galvin
Summary: Germany's climate goals require retrofitting over 75% of housing stock for energy efficiency. The study investigates the social optimum between the increasing marginal costs of energy efficiency and CO2 abatement as standards are pushed higher, and finds that retrofitting houses to a moderately high standard of about 70 kWh/m2/y is economically efficient. However, higher standards result in significantly higher marginal costs of CO2 abatement, suggesting that money could be better spent retrofitting more houses to less stringent standards.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Ramon Hingorani, Nils Dittrich, Jochen Kohler, Daniel B. Muller
Summary: This study quantifies the future stocks and flows of structural materials and their embodied emissions in German residential buildings using dynamic material flow analysis. The results show that emission mitigation measures, such as the replacement of masonry structures with timber structures and downsizing of structural material quantities, could contribute significantly to achieving emission neutrality.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Muhammad Bilal Siddique, Claire Bergaentzle, Philipp Andreas Gunkel
Summary: Energy consumption in buildings contributes significantly to European CO2 emissions. This study highlights the importance of utilizing metered heat demand data and detailed building archetypes for accurate subsidy allocation, leading to maximum decarbonization impact.
Article
Energy & Fuels
Gianluca Ruggieri, Francesca Andreolli, Paolo Zangheri
Summary: The building sector plays a crucial role in achieving net zero goals in the European Union, and Italy serves as an exemplary case with its need for energy retrofits. Despite previous incentives, Italy has struggled to promote deep retrofits until the introduction of Superbonus in 2020. This paper presents a policy roadmap for residential and educational building renovation in Italy, addressing market barriers and the role of policymakers in developing sustainable energy-efficient buildings.
Article
Engineering, Mechanical
J. R. Krentowski, P. Knyziak, M. Mackiewicz
Summary: The research focuses on the examination and assessment of external curtain walls used in typical prefabricated residential construction systems in Poland at the end of the 20th century. The effectiveness of connections between concrete layers significantly affects the durability of the exterior barrier.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Construction & Building Technology
Helena Kuivjogi, Aivar Uutar, Kalle Kuusk, Martin Thalfeldt, Jarek Kurnitski
Summary: In general, commercial building renovations have made some progress in improving energy performance, but there is a significant performance gap when reaching NZEB levels or conducting major renovations. The long payback period of 20-30 years and tenants' lack of motivation to invest are the main obstacles to renovation.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Amin Moazami, Salvatore Carlucci, Vahid M. Nik, Stig Geving
ENERGY AND BUILDINGS
(2019)
Article
Engineering, Civil
Kaj Pettersson, Dario Maggiolo, Srdjan Sasic, Par Johansson, Angela Sasic-Kalagasidis
JOURNAL OF HYDROLOGY
(2020)
Article
Energy & Fuels
A. T. D. Perera, P. U. Wickramasinghe, Vahid M. Nik, Jean-Louis Scartezzini
Article
Energy & Fuels
A. T. D. Perera, Vahid M. Nik, Deliang Chen, Jean-Louis Scartezzini, Tianzhen Hong
Review
Multidisciplinary Sciences
Vahid M. Nik, A. T. D. Perera, Deliang Chen
Summary: Climate change and urban population growth are major concerns, with a need to move towards sustainable energy solutions. However, the concept of climate resilience for urban energy systems is still not clearly defined, with limitations in assessment and lack of focus on future climate variations and extreme events. Improving energy system models to consider these factors is crucial for identifying resilient energy transition pathways.
NATIONAL SCIENCE REVIEW
(2021)
Article
Energy & Fuels
Pepe Tan, Patrik Lindberg, Kaia Eichler, Per Loveryd, Par Johansson, Angela Sasic Kalagasidis
JOURNAL OF ENERGY STORAGE
(2020)
Article
Energy & Fuels
Pepe Tan, Patrik Lindberg, Kaia Eichler, Per Loveryd, Par Johansson, Angela Sasic Kalagasidis
Article
Energy & Fuels
Vahid M. Nik, Amin Moazami
Summary: The study shows that collective intelligence has potential applications in demand side management, increasing demand flexibility and climate resilience on an urban scale. Through a simple communication strategy and algorithm, CI-DSM enhances system autonomy and agility, effectively reducing energy demand and absorbing the impact of extreme climate events.
Article
Green & Sustainable Science & Technology
Tommie Mansson, York Ostermeyer, Angela Sasic Kalagasidis
Summary: This study found that the position of temperature sensors in refrigerated display cabinets is affected by thermal gradients, leading to significant discrepancies in temperature readings and affecting the control system's refrigeration strategy. By relocating sensors away from thermal gradients, the cabinets performed more uniformly with reduced heat extraction demand. Research also revealed that a high percentage of reviewed cabinets had sensors placed in areas where thermal gradients exist.
Article
Energy & Fuels
Tommie Mansson, Angela Sasic Kalagasidis, York Ostermeyer
Summary: This article introduces and validates a novel methodology for estimating the temperature development and heat extraction demand of closed refrigerated display cabinets (RDCs) in operating conditions. The model, based on an in-house developed hygro-thermal model, can provide fast and accurate evaluations of the temporal flexibility in heat extraction demand of RDCs for demand response and energy efficiency purposes.
Article
Energy & Fuels
Yuchen Yang, Kavan Javanroodi, Vahid M. Nik
Summary: This study quantified the impact of climate uncertainties on the future renewable energy potential in five climate zones of Europe. The results showed that the uncertainty caused by global climate models (GCMs) has the most substantial impact on projecting renewable energy generation.
Article
Energy & Fuels
A. T. D. Perera, Kavan Javanroodi, Dasaraden Mauree, Vahid M. Nik, Pietro Florio, Tianzhen Hong, Deliang Chen
Summary: Dense urban morphologies exacerbate the urban heat island phenomenon, making cities more susceptible to extreme climate events. A modelling framework is developed to assess the combined impact of climate variations and urban densification on renewable energy integration in European cities, revealing significant changes in wind speed and temperature and increased energy demand. Failure to consider extreme climate events will reduce power supply reliability, particularly in dense urban areas of southern Europe.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Jonas Manuel Gremmelspacher, Julija Sivolova, Emanuele Naboni, Vahid M. Nik
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT III
(2020)
Proceedings Paper
Architecture
Angela Sasic Kalagasidis, Fredrik Domhagen, Sarka Langer
12TH NORDIC SYMPOSIUM ON BUILDING PHYSICS (NSB 2020)
(2020)
Article
Environmental Sciences
Kavan Javanroodi, Vahid M. Nik
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.