Article
Environmental Sciences
Tianzhen Hong, Yujie Xu, Kaiyu Sun, Wanni Zhang, Xuan Luo, Barry Hooper
Summary: This study utilized 10-year measured hourly weather data from 27 sites in San Francisco to analyze urban microclimate patterns and the urban heat island effect. The results showed significant impacts on building performance and climate resilience, with up to 11 degrees C temperature difference between coastal and downtown areas during a heatwave. The study also highlighted the importance of considering microclimate variations in urban energy planning and building standards.
Article
Construction & Building Technology
Shayan Mirzabeigi, Mohamad Razkenari
Summary: The study developed a multi-phase optimization framework for conceptual urban design and tested it on urban typologies in Syracuse. Mid-rise multifamily buildings showed the best energy performance among the alternatives tested, with a 55.8% improvement compared to the baseline.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Amir A. Aliabadi, Xuan Chen, Jiachuan Yang, Ali Madadizadeh, Kamran Siddiqui
Summary: To guide building system retrofits for reducing building's operational carbon footprint, a micro-genetic optimization algorithm has been applied. The algorithm is integrated into the Vertical City Weather Generator (VCWG) urban physics model. The study conducted a case study on low-rise residential houses in Toronto, successfully demonstrating the effectiveness of retrofitting building systems for energy and cost savings.
BUILDING AND ENVIRONMENT
(2023)
Article
Energy & Fuels
Shuwei Wang, Pieter-Jan Hoes, Jan L. M. Hensen, Olaf C. G. Adan, Pim A. J. Donkers
Summary: With the increasing share of renewable energy in total energy consumption, the temporal mismatch between energy supply and demand in buildings is becoming a challenge. Thermochemical heat storage, with its considerable energy density, acceptable cost, and negligible heat loss, is a promising alternative to common heat storage solutions in building applications. This study proposes a method that combines modeling and simulation to assess the potential impact and benefit of a thermochemical heat storage system integrated into a building, using a data-driven surrogate model and a building performance simulation engine. The results from a case study show that the heat battery can effectively reduce electricity consumption for heating a detached house without sacrificing thermal comfort, and that a small-scale heat battery exhibits efficient usage of the designed storage capacity.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Sokol Dervishi, Nerina Baci
Summary: The present research aims to estimate the impact of early design evaluation of open-school building morphology on energy performance in four climatic contexts of Southeast Europe. Results highlight the efficiency of geometry optimization in reducing annual energy demand by up to 35.4% and increasing thermal comfort in classrooms by up to 1.21 degrees C. The study provides suggestions on the appropriateness of different building typologies for each climatic context and generates a fundamental framework for early design decision-making stages through simulation results.
Review
Green & Sustainable Science & Technology
Habtamu Tkubet Ebuy, Hind Bril El Haouzi, Riad Benelmir, Remi Pannequin
Summary: Occupant behavior has a significant impact on a building's energy system, leading to increased energy consumption. However, building energy performance analysis often overlooks occupant behavior. Therefore, this paper aims to provide a systematic literature review on energy-related occupant behaviors and their implications for energy performance.
Article
Thermodynamics
Daniel Heidenthaler, Yingwen Deng, Markus Leeb, Michael Grobbauer, Lukas Kranzl, Lena Seiwald, Philipp Mascherbauer, Patricia Reindl, Thomas Bednar
Summary: This paper develops a detailed automated physical bottom-up Urban Building Energy Modelling (UBEM) framework based on archetypes for predicting hourly heat load profiles of residential buildings. The simulation results are compared and validated with measurements and values from TABULA typology, showing a good fit with a CV(RMSE) of 0.3, NMBE of 0.085, R2 of 0.85 and r of 0.94 for a sample size of 66 residential buildings. The model can be considered calibrated according to literature's acceptance criteria.
Article
Construction & Building Technology
Jesus Lizana, Victoria Patricia Lopez-Cabeza, Renaldi Renaldi, Eduardo Diz-Mellado, Carlos Rivera-Gomez, Carmen Galan-Marin
Summary: This paper quantifies the impact of urban climate on building performance and demonstrates that microclimates such as inner courtyards can effectively mitigate extreme heat impacts. Accurate weather data is crucial for building simulation.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Tullio de Rubeis, Lorenzo Giacchetti, Domenica Paoletti, Dario Ambrosini
Summary: This study introduces an urban-scale building energy modeling tool based on an engineering bottom-up approach, which can assess the energy performance of a building stock, define energy efficiency measures, and automatically evaluate their effects using a geographic information system.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Qiuhua Duan, Laura Hinkle, Julian Wang, Enhe Zhang, Ali Memari
Summary: Research shows that in specific climate conditions, low-e single-pane glazing with condensation effects considered may have adverse effects on energy-saving purposes compared to original single-pane glazing. More careful and comprehensive energy analyses are needed for using low-e products in window energy retrofits.
Article
Energy & Fuels
Alexey Remizov, Shazim Ali Memon, Jong R. Kim
Summary: Existing approaches to climate zoning of buildings neglect the incorporation of building energy usage data, resulting in discrepancies with the increasing demand for energy efficiency. This research proposes a novel spatially constrained approach that incorporates multivariate clustering and building energy needs indicators to create a climate classification aligned with buildings' energy performance patterns.
Article
Construction & Building Technology
J. Brozovsky, J. Radivojevic, A. Simonsen
Summary: Based on the study of an office building in Trondheim, Norway, the following conclusions can be drawn: urban greening can significantly reduce cooling demand during heat waves; evapotranspiration from grass surfaces has a noticeable impact on lower floors and can reduce cooling demand; in autumn and winter, the absence of vegetation leads to lower heating energy demand; improving the insulation properties of surrounding buildings has an effect on indoor temperatures but increases energy demands.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Mariam Elnour, Fodil Fadli, Yassine Himeur, Ioan Petri, Yacine Rezgui, Nader Meskin, Ahmad M. Ahmad
Summary: This research presents the first review article addressing the research gap in building operation management and optimization for sports facilities. The study highlights the importance of considering climate zones and facility characteristics. The findings reveal limited research on sports facility management and optimization compared to residential and commercial buildings, with a majority of studies focused on facilities in cold regions. The study suggests future research directions, including the use of deep learning, modular solutions, and renewable energy systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Construction & Building Technology
Sena Goknur Koc, Sibel Macka Kalfa
Summary: Fixed shading devices play an important role in architectural design and can significantly improve the energy performance of buildings. This study conducted a comprehensive evaluation by considering multiple parameters to determine energy-efficient fixed external shading device scenarios for office buildings.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Pavel Ilyushin, Dmitry Gerasimov, Konstantin Suslov
Summary: The concept of multi-energy systems (MES) is widely used in different areas of energy supply to analyze energy flows and their mutual influence. New and innovative methods, such as mathematical modeling, are employed in analyzing, forecasting, and controlling the behavior of energy facilities. This paper proposes a methodological approach based on the concept of an energy hub, which has been successfully tested on a simulation model for two energy supply channels in a real-world energy facility. This simulation-based approach offers great potential for expanding the capabilities in designing and operating integrated multi-energy systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Karni Siraganyan, Amarasinghage Tharindu Dasun Perera, Jean-Louis Scartezzini, Dasaraden Mauree
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
Article
Energy & Fuels
Zhengchao Wang, A. T. D. Perera
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
A. T. D. Perera, Z. Wang, Vahid M. Nik, Jean-Louis Scartezzini
Summary: The study introduces a game-theoretic approach to consider complex interactions among energy systems at the early design phase, revealing cost reductions of 30% and 15% for fully cooperative (FCS) and non-cooperative (NCS) scenarios compared to energy system prior to grid (ESPG). There is a significant change in energy system design transitioning from FCS to NCS scenarios, indicating the need for an intermediate scenario balancing cost reduction and privacy maintenance.
Article
Energy & Fuels
A. T. D. Perera, Kavan Javanroodi, Vahid M. Nik
Summary: The co-optimization of urban morphology and energy system is crucial to reduce energy consumption and enhance the utilization of renewable energy in cities. By optimizing the urban morphology based on influencing factors, it is possible to significantly decrease the cost of energy infrastructure and address the increase in energy demand caused by current building forms and urban density.
Article
Green & Sustainable Science & Technology
A. T. D. Perera, Parameswaran Kamalaruban
Summary: Energy systems are transitioning to accommodate renewable energy technologies and face challenges in controlling energy flows. Research has shown potential for reinforcement learning in improving performance, but certain complexities remain unresolved, indicating room for further development.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Construction & Building Technology
Pietro Florio, Giuseppe Peronato, A. T. D. Perera, Anthony Di Blasi, Kin Ho Poon, Jerome H. Kampf
Summary: The study proposes a comprehensive methodology through a computational platform to achieve optimal diffusion of BIPV in cities while preserving aesthetic landscapes. Analysis shows potential for BIPV in Geneva to cover 32% of electricity demand for space heating and introduces an effective visual impact assessment methodology.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
A. T. D. Perera, Bingyu Zhao, Zhe Wang, Kenichi Soga, Tianzhen Hong
Summary: Climate change leads to more extreme climate events, such as frequent wildfires, which have numerous adverse impacts on society. Public Safety Power Shutoffs, used by utilities to minimize the risk of wildfires, present challenges to electricity consumers. Microgrids are proposed as a solution to improve the resilience of energy infrastructure during wildfires, and this study provides a comprehensive assessment of their potential using a modeling framework.
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.
Article
Energy & Fuels
A. T. D. Perera, Kavan Javanroodi, Y. Wang, Tianzhen Hong
Summary: The rapid growth of urban areas and concerns over climate change have led to an increased focus on improving the energy sustainability of cities. The introduction of the Urban Cell concept, which utilizes a modular approach to create an interconnected urban infrastructure, demonstrates the potential benefits of reducing costs and increasing renewable energy capacity. The study highlights the importance of considering complex interactions between different sectors and parts within a city to enhance efficiency and sustainability.
ADVANCES IN APPLIED ENERGY
(2021)
Proceedings Paper
Construction & Building Technology
Maria Beatrice Andreucci, Luciano Cupelloni, Marco Delli Paoli, Silvia Coccolo
PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA
(2020)
Article
Urban Studies
Sara Torabi Moghadam, Silvia Coccolo, Guglielmina Mutani, Patrizia Lombardi, Jean-Louis Scartezzini, Dasaraden Mauree
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.