Article
Green & Sustainable Science & Technology
Tsz Hei Choi, Helen Brindley, N. Ekins-Daukes, Rodrigo Escobar
Summary: These schemes aim to accurately estimate spectrally resolved direct normal irradiance for multi-junction concentrator photovoltaic systems, particularly benefiting sites with significant coarse aerosol levels. The most sophisticated scheme demonstrated the best performance, with average bias well within calibration uncertainties.
Article
Construction & Building Technology
Xiang Zhang, Dirk Saelens, Staf Roels
Summary: This study demonstrates the potential application of a data-driven B-splines integrated grey-box modelling technique for estimating dynamic solar gains in real buildings. Improved solutions are proposed to consider the impact of occupants.
BUILDING AND ENVIRONMENT
(2023)
Article
Energy & Fuels
Ziqing Wei, Fukang Ren, Yikang Zhu, Bao Yue, Yunxiao Ding, Chunyuan Zheng, Bin Li, Xiaoqiang Zhai
Summary: This paper proposes a two-step identification process based on the resistance-capacity model to assess the reasonableness of the thermal characteristics of buildings for efficient operation.
Article
Green & Sustainable Science & Technology
Francis M. Lopes, Ricardo Conceicao, Hugo G. Silva, Rui Salgado, Manuel Collares-Pereira
Summary: This study enhances operational strategies of concentrating solar power plants by utilizing post-processing methods on numerical weather predictions to improve the accuracy of electricity forecasts. By using short-term forecasts from the Integrated Forecasting System and measurements in southern Portugal, the research significantly increases the prediction accuracy in hourly forecasts.
Article
Thermodynamics
Myeongchan Oh, Chang Ki Kim, Boyoung Kim, Changyeol Yun, Jin-Young Kim, Yongheack Kang, Hyun-Goo Kim
Summary: This study proposes an advanced separation model for direct irradiance using machine learning techniques with 1-min time-series variabilities, trained and validated on data from over 20 stations in temperate climate regions. Results show that ML models outperform previous models at all stations, with neural networks showing the best performance.
Article
Energy & Fuels
A. Laguarda, R. Alonso-Suarez, G. Abal
Summary: Accurate knowledge of DNI is crucial for sizing solar energy systems, especially those using solar concentration technologies. When measurements are unavailable, DNI can be estimated using a satellite model or satellite-derived GHI and a diffuse-direct separation model. However, this second method is prone to errors under partial cloudiness and low solar elevation angles. A new and simple semi-empirical satellite-based model is proposed, which uses a physical clear sky model and cloudiness index obtained from visible satellite imagery to estimate DNI in moderate albedo regions. The model outperforms the alternative strategy with an average uncertainty of 20% compared to three measurement station's data sets.
Article
Construction & Building Technology
Phillipe R. Sampaio, Raphael Salvazet, Pierre Mandel, Gwenaelle Becker, Damien Chenu
Summary: This paper introduces a novel energy conservation measure that optimizes the planning of heating and cooling systems for tertiary sector buildings. By using a grey-box model for predictive control and black-box multiobjective optimization for model calibration, the proposed approach aims to reduce energy consumption while maintaining indoor thermal comfort.
ENERGY AND BUILDINGS
(2021)
Review
Construction & Building Technology
Jiaqi Yu, Wen-Shao Chang, Yu Dong
Summary: This study provides a comprehensive review of building energy prediction models, discussing three types of prediction methods and analyzing the uncertainties in these models. The research gaps in predicting building energy consumption are summarized in order to guide the optimization of building energy prediction methods.
Article
Energy & Fuels
Khalid H. Almitani, Nidal H. Abu-Hamdeh, Mashhour A. Alazwari, Elias M. Salilih, Radwan A. Almasri, S. Mohammad Sajadi
Summary: This study investigated the thermal behavior of a wall with the addition of phase change material under solar radiation. The effect of phase change material with a melting point of 21-23 C on heat transfer was examined. The results showed that adding a thickness of 1 cm to the western, eastern, southern, and northern walls reduced heat transfer by 18.5%, 18.1%, 17.4%, and 17% respectively. The effect of thickness was also explored, and it was found that for a building equipped with a 1 cm thickness, heat transfer reduced by 3.69 kWh/m(2).July.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Construction & Building Technology
Julien Leprince, Henrik Madsen, Clayton Miller, Jaume Palmer Real, Rik van der Vlist, Kaustav Basu, Wim Zeiler
Summary: To achieve the carbon emission reduction targets set by the European Union, the building sector has implemented various strategies. However, scaling-up building modelling approaches remains a challenge. This study proposes an automated and scalable method for stochastic model identification of building heat dynamics, applied to 247 Dutch residential buildings. The method has important implications for automation of building modelling approaches, enhancing building performance benchmarks, city-scale building stock scenario modelling, and estimating building energy flexibility potential.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Mohammad Haris Shamsi, Usman Ali, Eleni Mangina, James O'Donnell
Summary: This research aims to define and assess a set of basic and derived features for reduced-order grey-box models through a generalisable framework that would act as a decision support tool. An integrated methodology is proposed to test and evaluate model features, formulating test-cases for evaluation of retrofit strategies. These frameworks produce scalable and flexible models that facilitate urban energy modelling and evaluation of retrofit strategies.
Article
Green & Sustainable Science & Technology
Fen Li, Renkui Wang, Ling Mao, Donghai Zhu, Xu She, Jianping Guo, Shunfu Lin, Yongheng Yang
Summary: Building photovoltaic (PV) in big cities is a growing trend, but the lack of measured radiation data on vertical surface is a challenge. This study reviews ten solar radiation models to find the optimal one for calculating solar radiation on vertical surface in high turbidity areas like Beijing. The accuracy of the models is also examined in relation to atmospheric turbidity. The results suggest that the Perez model is suitable for calculating solar radiation, but high atmosphere turbidity may affect its accuracy. The study provides guidance for the deployment of building PV systems in Beijing, with an estimated annual AC output energy of 630-971 kWh/kWp.
IET RENEWABLE POWER GENERATION
(2022)
Article
Thermodynamics
Yunxiao Chen, Mingliang Bai, Yilan Zhang, Jinfu Liu, Daren Yu
Summary: This paper proposes an approach to proactively select input variables based on the information gain factor for improving the accuracy of solar irradiance forecast. The feasibility of this method is validated through experiments, and the suitability of the information gain factor is compared with Pearson correlations.
Article
Construction & Building Technology
Jacek Abramczyk
Summary: The article presents an innovative procedure for analyzing the impact of the shape and arrangement of external building partitions on direct solar irradiation. Through interdisciplinary research, an algorithm and artificial neural network were developed to provide important data clues for designing effective building forms.
BUILDING AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Dongyu Jia, Jiajia Hua, Liping Wang, Yitao Guo, Hong Guo, Pingping Wu, Min Liu, Liwei Yang
Summary: Accurate solar radiation estimation is crucial for solar energy systems, with high-precision remote sensing data being used to fill the gap in surface radiation observations. This study tested a global solar irradiance estimation method using data from the FengYun-4A satellite, showing that the estimated global horizontal irradiance (GHI) was slightly affected by seasons, while direct normal irradiance (DNI) estimation was less accurate. A new DNI radiation algorithm during autumn and winter is proposed for northern China to improve accuracy.
Article
Construction & Building Technology
S. Willems, D. Saelens, A. Heylighen
Summary: This study investigates how the design of hospital rooms can contribute to patients' well-being by supporting their adaptation of and to indoor conditions via perceived control. Building characteristics that provide patients with a sense of control can enhance their adaptation to indoor conditions. When patients have control over adaptable building features, they can better adapt to the indoor environment.
BUILDING RESEARCH AND INFORMATION
(2022)
Article
Construction & Building Technology
Bart Merema, Dirk Saelens, Hilde Breesch
Summary: In educational buildings, the HVAC system plays a major role in energy consumption. This study developed a model predictive control (MPC) framework for an all-air system to control room temperature and CO2 concentrations. Two model identification techniques, autoregressive with exogenous input (ARX-MPC) and grey-box resistor-capacitor nonlinear model (RC-NMPC), were compared. The study showed that the ARX-MPC had advantages in simplicity and computational efficiency. The implemented MPC strategies in a real-use educational building achieved energy savings of 10%-40% for electric energy use and 21%-55% for thermal energy use.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Sara Willems, Dirk Saelens, Ann Heylighen
Summary: Hospitals' indoor conditions affect patients' comfort, with adaptation strategies influencing patients' experiences and satisfaction. Psychological adaptation strategies seem to affect experiences in different ways, which current methods cannot fully predict.
BUILDING RESEARCH AND INFORMATION
(2022)
Article
Energy & Fuels
Xiang Zhang, Dirk Saelens, Staf Roels
Summary: On-site measured data combined with statistical methods are increasingly used to assess building performance and develop simplified models for control, fault detection, and energy optimization. This study presents a statistical modeling method that integrates basis splines into an ARX model to estimate time-varying solar gains more accurately.
Article
Construction & Building Technology
Staf Roels, Astrid Tijskens
Summary: As timber frame constructions continue to grow in popularity due to their role in reducing CO2-emissions and embodied energy, it is important to understand and address the issues of moisture damage. This paper investigates the impact of neglecting wooden elements in the numerical simulations on the risk assessment of timber frame walls. The results show that neglecting wooden elements can lead to significantly higher levels of interstitial condensation in certain cold climates and wall configurations.
JOURNAL OF BUILDING PHYSICS
(2023)
Article
Construction & Building Technology
Xiang Zhang, Dirk Saelens, Staf Roels
Summary: This study demonstrates the potential application of a data-driven B-splines integrated grey-box modelling technique for estimating dynamic solar gains in real buildings. Improved solutions are proposed to consider the impact of occupants.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Xiang Zhang, Dirk Saelens, Staf Roels
Summary: This study investigates the uncertainties in estimating solar gain dynamics in grey-box models for building energy performance assessment. The precision of solar gain estimation is crucial for a qualified grey-box model and improved predictive applications. The study found that enhancing solar gain modelling in grey-box models does not hinder reliable heat loss coefficient determination and can even reduce uncertainty in certain conditions.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Katia Ritosa, Dirk Saelens, Staf Roels
Summary: Currently, most residential buildings are not performing well in terms of energy efficiency. Quantifying the behavior of the building envelope is crucial in assessing the current state of the building sector and bridging the gap between design and actual energy demand. To achieve this on an urban scale, statistics-based modeling techniques can be employed using limited and collected data. In this research, an artificial dataset is created to assess the estimation methodology of the Heat Transfer Coefficient (HTC) using urban building energy models. The results show that with optimal monitoring setups, 85% of the estimates fall within 10% of the target.
ENERGY AND BUILDINGS
(2023)
Review
Green & Sustainable Science & Technology
Rui Guo, Simon Meunier, Christina Protopapadaki, Dirk Saelens
Summary: Due to the increasing integration of low-carbon technologies, low-voltage distribution networks in Europe face new challenges. This study provides a structured literature review of low-voltage grids in Europe and recommends representative values for technical and economic parameters based on the collected data. It can help academics and distribution system operators quantify the impacts of low-carbon technology integration into European low-voltage grids and investigate mitigation options.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Construction & Building Technology
Astrid Tijskens, Hans Janssen, Staf Roels
Summary: The market share of timber-based buildings is increasing in Europe due to their advantages in CO2 emissions and embodied energy. However, these constructions are prone to moisture damage, making proper design crucial. This study aims to provide general guidelines for different European climates and wall compositions by utilizing a convolutional neural network to simulate and evaluate over 135,000 scenarios. The results highlight the importance of climate-specific guidelines and the role of moisture buffering in preventing condensation.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Katia Ritosa, Dirk Saelens, Staf Roels
Summary: To bridge the building energy performance gap, it is necessary to characterize the actual energy demand and thermal behavior of buildings. Current European legislation assesses energy efficiency based on theoretical data, but the actual building behavior is not fully characterized. The co-heating test is commonly used to evaluate the as-built thermal performance, but its limitations are not completely explored. This study aims to explore the limits of the co-heating test through artificially generated experiments.
ENERGY AND BUILDINGS
(2023)
Article
Thermodynamics
Arash Erfani, Tohid Jafarinejad, Staf Roels, Dirk Saelens
Summary: This study evaluates the suitability of predictive models in model predictive control (MPC) using key performance indicators (KPIs) and finds that multi-step ahead prediction error (MSPE) better demonstrates the performance of predictive models used for flexibility activation. Failure to minimize MSPE during model development results in significant loss of flexibility potential and energy use reduction.
BUILDING SIMULATION
(2023)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)