Article
Green & Sustainable Science & Technology
Gabriel Narvaez, Luis Felipe Giraldo, Michael Bressan, Andres Pantoja
Summary: The study introduces a new methodology that combines satellite and in-situ measurement data, leveraging machine learning and deep learning techniques to construct accurate solar radiation forecasting models, effectively improving prediction accuracy.
Article
Thermodynamics
Pengli Yuan, Lin Duanmu, Zongshan Wang, Songtao Gao, Huifan Zheng
Summary: This study proposes a novel solar-biomass energy heating system, investigates its thermal performance and its impact on energy consumption and emissions. The results show that the system significantly reduces energy consumption and carbon dioxide emissions, while considering the dynamic thermal environment required by rural households.
APPLIED THERMAL ENGINEERING
(2024)
Review
Green & Sustainable Science & Technology
Hengwu Hu, Domenico Vizzari, Xudong Zha, Ronald Roberts
Summary: Solar pavements, using photovoltaic technology to provide sustainable power support, can transform road systems into energy providers and eliminate or alleviate energy pollution. The study evaluates the cost-effectiveness of different solar pavement structures, showing that Hollow slab solar pavements have the lowest net present value and levelized cost of electricity.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Mojtaba Barzehkar, Kevin E. Parnell, Naghmeh Mobarghaee Dinan, Graham Brodie
Summary: This study explores a hybrid decision support system (DSS) approach using AHP, GIS, fuzzy logic, and WLC to determine optimal locations for renewable energy infrastructure. Results in Isfahan Province, Iran show that approximately 26% of land area is highly suitable for solar farms and 18% for wind farms. Comparing results from combinations of computer-based DSS tools is more effective than using individual tools for locating suitable sites for renewable energy systems.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Environmental Sciences
Xueqing Liu, Xiaodong Zhao, Luyi Lu, Jianlan Li
Summary: Photovoltaic power generation technology is an important method for achieving carbon neutralization. This study investigates the effects of liquid bridges formed on the surfaces of hydrophobic and hydrophilic PV glass and their self-cleaning abilities. The results show that liquid bridges enhance the self-cleaning forces and contribute to the prevention and reduction of dust accumulation on glass.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Energy & Fuels
Mohammad Hossein Jahangir, Mahboube Roostaei Firouzabad, Roghayeh Ghasempour
Summary: This paper studied the application of building-integrated passive solar energy technology in different scenarios and compared them to a base model. The results showed that different scenarios had their own advantages, with the building-integrated photovoltaic model significantly reducing indoor temperature, the double-skin facade scenario reducing heating energy consumption, and the PV glazing facade scenario reducing cooling energy consumption. Additionally, both the PV glazing double-skin facade and the PV glazing facade scenarios showed significant reductions in CO2 emissions and energy costs.
Article
Economics
Karl Larsson, Rikard Green, Fred Espen Benth
Summary: In this study, a novel stochastic time series model is proposed to explain the stylized features of daily irradiation level data in 5 cities in Germany. The model is applicable for risk management of photovoltaic power production in renewable energy markets. The suggested dynamics is a low-order autoregressive time series with seasonal level determined by an atmospheric clear-sky model. Additionally, the skewness property in residuals is detected and explained by a winter-summer regime switch. The stochastic variance is modeled by a seasonally varying GARCH dynamics. The winter and summer standardized residuals are proposed to follow a Gaussian mixture model to capture the bimodal distributions. The model is estimated and validated using observed data, and an application to energy markets studying the production at risk for a PV-producer is presented.
Article
Energy & Fuels
Maryam K. Abdelrazik, Sara E. Abdelaziz, Mariam F. Hassan, Tarek M. Hatem
Summary: Solar energy has great potential in Africa to address energy and economic issues, but its implementation faces challenges in finance, technology, human resources, and the environment.
Review
Green & Sustainable Science & Technology
Khalid Almutairi, Mubarak Almutairi, Kamal Harb, Omar Marey, Pasura Aungkulanon
Summary: This article reviews and discusses different types of solar air heating systems and the factors affecting their performance, with a focus on recently published studies. The findings indicate that efficient air heating systems utilizing solar energy can be widely applied in various scenarios, especially in terms of thermal comfort in buildings.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
Zheng Wang, Mark B. Luther, Peter Horan, Jane Matthews, Chunlu Liu
Summary: This paper presents an approach to improve the self-consumption and self-sufficiency of solar PV systems by using a polyvalent heat pump, water storage tanks, and batteries. The analysis of thermal loads and electricity consumption data shows that the proposed system can increase PV self-consumption to 41.96% and self-sufficiency to 86.34%, resulting in a reduction of about 74% in imported energy.
BUILDING SIMULATION
(2023)
Article
Green & Sustainable Science & Technology
Mengjun Liang, Ramalingam Karthick, Qiang Wei, Jinhong Dai, Zhuosheng Jiang, Xuncai Chen, Than Zaw Oo, Su Htike Aung, Fuming Chen
Summary: Solar-driven photoelectrochemical desalination (SD-PED) technology, utilizing sustainable solar energy for salt ion removal, shows promise for commercialization. Despite its high salt removal rate and initial photocurrent, challenges such as rapid decline of photocurrent and difficulty in seawater desalination exist. Strategies to enhance long-term stability include system configuration optimization and choice of photosensitive materials.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Construction & Building Technology
Wei Zhong, Shaoxiong Liu, Xiaojie Lin, Yi Zhou
Summary: This study proposes an optimized design of district heating systems (DHS) based on granularity analysis methodology to harness distributed solar energy. The study applies hierarchical clustering and pipeline sizing optimization to calculate the optimal scheme with the best economic performance. It also introduces a quantitative granularity estimation method. The research highlights the importance of proper selection of granularity in the design stage for the economic and stable operation of DHS.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Marco Pierro, Richard Perez, Marc Perez, Matteo Giacomo Prina, David Moser, Cristina Cornaro
Summary: This work presents a progressive strategy to achieve 100% penetration of intermittent renewables by transforming them into effectively dispatchable generation sources, displacing conventional generation at minimal cost. The pathway for a full renewable energy transition of the Italian electric mix is delineated based on addressing net load forecast imbalances resulting from renewables' prediction errors.
Article
Thermodynamics
S. Bordignon, D. Quaggiotto, J. Vivian, G. Emmi, M. De Carli, A. Zarrella
Summary: This study proposes a new technical solution for providing air conditioning, domestic hot water, and electricity to a small residential district in heating-dominant regions. The solution includes the use of high-efficiency ground source heat pump, booster heat pumps, and rooftop photovoltaic thermal panels. The proposed system achieves high performance and utilizes multiple energy sources effectively.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Environmental Sciences
Xueqing Liu, Song Yue, Xiaodong Zhao, Luyi Lu, Jianlan Li
Summary: Liquid bridge evaporation has a significant impact on dust agglomeration on PV panels, but it is only effective in the muddy state with small particle spacing, enhancing the agglomeration process.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Thermodynamics
Yuekuan Zhou, Sunliang Cao, Jan L. M. Hensen, Ala Hasan
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Thermodynamics
Ari Laitinen, Oscar Lindholm, Ala Hasan, Francesco Reda, Asa Hedman
Summary: Many cities and districts face technical and economic challenges in achieving energy self-sufficiency, with a focus on wind power investments and potential cost reductions by lowering self-sufficiency rates. Positive Energy District or Net-Zero Energy District may be more feasible goals to target instead of full energy self-sufficiency.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Hayder Mohammad Jaffal, Basim Freegah, Ammar A. Hussain, Ala Hasan
Summary: The study demonstrates that fluid flow fragmentation effectively enhances the performance characteristics of the SMCHS compared to traditional designs. The new designs show improved heat transfer, with a 13% increase in Nusselt number and a reduction in pressure drop by approximately 180%. Among the two novel designs, the perpendicular fragmentation design performs slightly better than the diagonal fragmentation design.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Behrang Vand, Reino Ruusu, Ala Hasan, Benjamin Manrique Delgado
Summary: This study examines the benefits of sharing on-site generated electricity within a community of buildings through peer-to-peer energy exchange, in order to minimize electricity costs. The novel model predictive control system efficiently reduces energy costs in a community with various energy sources, conversions and storage. By considering buildings in a community as a single entity, the annual electricity energy cost for single buildings can be reduced by 3.0% to 87.9%, and by 5.4% to 7.7% on the community level.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Construction & Building Technology
Janne Hirvonen, Juhani Heljo, Juha Jokisalo, Antti Kurvinen, Arto Saari, Tuomo Niemela, Paula Sankelo, Risto Kosonen
Summary: Finland and the European Union aim to reduce CO2 emissions by 80-100% before 2050, with a focus on large-scale building energy retrofit scenarios to reduce emissions in the Finnish building stock.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Hassam ur Rehman, Jan Diriken, Ala Hasan, Stijn Verbeke, Francesco Reda
Summary: This paper critically analyzes the integration of electric vehicle (EV) energy load with building's energy load and proposes to either include or exclude EV load within the building's energy load while following the emissions calculation path. Two real case studies show that replacing fossil-fuel cars with EVs within the building boundary can significantly reduce emissions, but also increase energy demand, making the goal of reaching nearly/net zero energy building target more challenging.
Article
Green & Sustainable Science & Technology
Janne Hirvonen, Arto Saari, Juha Jokisalo, Risto Kosonen
Summary: Energy use in buildings is a major source of CO2 emissions in Europe. Deep energy retrofitting can reduce energy consumption and CO2 emissions, but it is costly and affects tax revenue. The study shows that by 2050, CO2 emissions in Finnish apartment buildings decreased by 12-30%, and every one million euros invested in retrofitting created 15-17 jobs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Energy & Fuels
Federica Leone, Francesco Reda, Ala Hasan, Hassam Ur Rehman, Fausto Carmelo Nigrelli, Francesco Nocera, Vincenzo Costanzo
Summary: The aim of this study is to analyze the design variations among six Positive Energy District (PED) projects in the European Smart Cities and Communities programme. By collecting data and communicating with project representatives, a catalogue of energy system solutions adopted in the studied PEDs was created, with a critical analysis of the motivations behind them. This study outlines general trends in geographical areas with similar characteristics.
Article
Thermodynamics
Hayder Mohammad Jaffal, Nabeel Sameer Mahmoud, Ahmed Abdulnabi Imran, Ala Hasan
Summary: This study aimed to investigate the hydrothermal performance of a novel design of ribbed serpentine channel cooled plate (SCCP) for Li-ion battery cooling. Numerical simulations and experimental validations were conducted, and the results showed that the ribs played a vital role in improving heat transfer, with rib orientation being more influential than rib shape.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Federica Leone, Ala Hasan, Francesco Reda, Hassam ur Rehman, Fausto Carmelo Nigrelli, Francesco Nocera, Vincenzo Costanzo
Summary: This paper introduces a new approach called "territorial acupuncture" to address the challenge of achieving carbon neutrality in densely populated territories without significantly altering the territories. This method combines various theories and practices, such as Biourbanism, urban acupuncture, and energy community design. By treating the territory as a single organism and implementing punctual interventions on a district scale, Territorial Acupuncture modifies energy, socio-economic, and environmental dynamics to enhance the resilience of densely populated territories.
Article
Green & Sustainable Science & Technology
Iraj Moradpoor, Sanna Syri, Janne Hirvonen
Summary: The Finnish Government's target of carbon neutrality by 2035 poses a challenge for the district heat systems of Finnish cities, which still heavily rely on fossil fuels and peat. To address rising heat prices and prevent energy poverty, affordable low-carbon district heat solutions need to be developed. This study investigates the feasibility of various low-carbon scenarios utilizing biomass combustion and waste heat recovery technologies in different energy renovation levels. Economic and sensitivity analyses were conducted from utility and end-user perspectives, highlighting biomass HOB and waste heat-heat pump + electric boiler as cost-effective options.
CLEANER ENVIRONMENTAL SYSTEMS
(2022)
Article
Construction & Building Technology
Yangmin Wang, Janne Hirvonen, Ke Qu, Juha Jokisalo, Risto Kosonen
Summary: This study examines the impacts of several novel renovation technologies on energy consumption, CO2 emissions, and indoor climates in southern European residential buildings through building-level simulations. The results show that these technologies have significant effects on energy consumption and CO2 emissions, but are influenced by the heating schedule.
Article
Construction & Building Technology
Janne Hirvonen, Juha Jokisalo, Paula Sankelo, Tuomo Niemela, Risto Kosonen
Article
Engineering, Chemical
Ilkka Jokinen, Arslan Ahmad Bashir, Janne Hirvonen, Juha Jokisalo, Risto Kosonen, Matti Lehtonen
Article
Construction & Building Technology
Janne Hirvonen, Risto Kosonen
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.