Article
Thermodynamics
Timothe Gronier, Jaume Fito, Erwin Franquet, Stephane Gibout, Julien Ramousse
Summary: The study introduces an iterative sizing method focusing on demand-side management to optimize the overall performance of district energy networks integrating solar sources. Various criteria, including energetic, economical, and operational aspects, are considered, with exergy playing a key role in evaluating the quality of energy in multi-energy networks. The method effectively reduces the number of installed solar thermal collectors and photovoltaic panels while ensuring stable results after just two iterations in all scenarios.
Article
Energy & Fuels
Emilio J. Palacios-Garcia, Xavier Carpent, Joppe W. Bos, Geert Deconinck
Summary: Residential demand side management (DMS) is an effective tool for maintaining network balance, but privacy concerns related to user personal consumption data have hindered its widespread adoption. This paper proposes a privacy-preserving aggregation algorithm based on additive random shares and a combination of symmetric and asymmetric key cryptography methods. The algorithm is compared with other techniques such as additive homomorphic encryption (AHE) and state-of-the-art MPC protocols. The results show that while generic techniques like homomorphic encryption are computationally expensive, MPC approaches provide better performance and resilience for large networks. The proposed additive random shares algorithm is considered the most balanced choice for DSM, offering good performance, simpler information flow, and the ability to add redundant intermediary parties for enhanced resilience.
Article
Thermodynamics
Yichi Zhang, Par Johansson, Angela Sasic Kalagasidis
Summary: This study compares and simulates three thermal energy storage options - water tank, phase change material tank, and building thermal mass - and finds that building thermal mass is the most cost-effective option while water tank is the least attractive choice. The majority of life-cycle cost savings come from peak load reduction, with less discharged energy and cost savings in well-insulated buildings.
Article
Construction & Building Technology
Mujahed Al-Dhaifallah, Zuhair Alaas, Alireza Rezvani, Binh Nguyen Le, Samaneh Samad
Summary: This research aims to optimize the functioning of micro-grids by providing a multi-objective energy management system that incorporates the availability of renewable energy sources and allows for demand response activities. The study develops schedules for demand response operations and employs various power sources to establish a standard microgrid. A modified manta ray foraging optimization algorithm is used to solve the complex problem. The results show that considering demand response leads to a reduction in the power capacity of wind turbines and PV systems.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Automation & Control Systems
Sourav Basak, Biplab Bhattacharyya
Summary: Demand side management is an economic strategy that shifts elastic demand from peak hours to off-peak hours to reduce overall generation costs. This paper categorizes its work into three phases, including analyzing wind speed to power conversion models, implementing an economic DSM strategy, and optimizing two microgrid distribution systems. The proposed hybrid optimization tool outperforms other methods in terms of central tendencies, statistical analysis, and algorithm execution time. Rating: 8/10.
Review
Thermodynamics
Elisa Guelpa, Vittorio Verda
Summary: This paper is the first survey on the use of demand side application in district heating networks, clarifying the terminology and implementation stages. Demand side management is considered as a great technique for district heating management, achieving benefits such as peak shaving, doubled load factor, and reduction of primary energy needs.
Article
Green & Sustainable Science & Technology
Luis Vergara-Fernandez, Maichel M. Aguayo, Luis Moran, Carlos Obreque
Summary: This study proposes a methodology for the operation of a seawater desalination plant and a pumping station, based on demand-side management principles, using a novel Mixed-Integer Linear Programming model. The methodology considers the incorporation of a photovoltaic solar plant as a renewable energy source. The case study conducted in a agricultural area in Northern Chile establishes the foundation for future research and industrial applications.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Balasubramanian Sambasivam, Yuan Xu
Summary: India has set 2070 as the target year for achieving carbon neutrality, but the dominance of carbon-intensive fossil fuels in its energy system remains a challenge. This study examines how the state of Karnataka in India managed to significantly enhance solar PV capacity factor and reduce curtailment by implementing load shift and economic dispatch policies. The results show that these policies contributed to a 20% and 70% increase in the capacity factor, respectively, leading to a 40% reduction in the cost of solar electricity. This research suggests that similar policies can be adopted by India and other countries to further accelerate and optimize the energy transition.
Article
Green & Sustainable Science & Technology
Angela Sanguinetti, Sarah Outcault, Eli Alston-Stepnitz, Mithra Moezzi, Aaron Ingle
Summary: Solar water heating in California has a long history but faces barriers to widespread adoption, primarily due to users' prevalent disappointment in energy savings and bill reductions, as well as high rates of technical problems.
Article
Energy & Fuels
Marcelo Salgado-Bravo, Matias Negrete-Pincetic, Aristides Kiprakis
Summary: A flexibility estimation model is proposed to evaluate the immediate aggregate flexibility response in a day-ahead scheme. The model schedules appliances and calculates aggregated flexibility based on energy and flexibility prices. It uses an alternative flexibility scenario approach to evaluate immediate flexibility available for the next 15 minutes or 4 hours. New flexibility constraints are introduced for specific appliances, and the model is tested under different energy price schemes to observe the influence on flexibility offered.
Article
Energy & Fuels
Christian Utama, Sebastian Troitzsch, Jagruti Thakur
Summary: This study investigates the demand-side flexibility potential of Singapore's building stock and explores how it can be realized through demand-side bidding. Through a case study in Singapore's Downtown Core district, factors such as building types, cooling load, and occupancy schedule were found to impact DSF potential. Demand-side bidding, compared to centralized dispatch, can help consumers utilize their energy resources more effectively, reducing total electricity costs.
Article
Economics
Dylan Brewer
Summary: I conducted a survey that examined how respondents would react to different costs of adjusting their thermostats. By analyzing the survey results, I found that even at the highest price level, half of the participants did not change their behavior in response to the cost. On average, a 100 percent increase in heating costs led to a small reduction in winter heating level. The survey behavior of participants with complete information can explain real-world temperature settings, suggesting limited role of informational barriers in energy-service demand heterogeneity.
Article
Thermodynamics
Xinlin Wang, Hao Wang, Sung-Hoon Ahn
Summary: This study proposes a novel energy development strategy that combines power consumption type analysis and anomaly detection, reducing training costs and enabling the application of machine learning technologies in underdeveloped areas. This method effectively utilizes local renewable energy and improves residents' electricity usage experience.
Article
Thermodynamics
Javier Valdes, Yunesky Masip Macia, Wolfgang Dorner, Luis Ramirez Camargo
Summary: Demand side management is a promising alternative for power systems with high shares of variable renewable energy sources. This study proposes a methodology to anonymize hourly electricity consumption profiles for industries and calculate their flexibility potential, finding significant flexibility potential in three case studies in Chile. The resulting demand profiles share the same statistical characteristics as the measured profiles but can be used in modeling exercises without confidentiality issues.
Article
Environmental Sciences
Maedeh Kharaji Manouchehrabadi, Saeed Yaghoubi
Summary: This study investigates the effects of supply-side and demand-side policies on supporting the members of the solar cell supply chain and encouraging customers to increase the use of solar panels. It also explores the best policy for improving and promoting the supply chain.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Eduardo Martins Deschamps, Ricardo Ruther
Article
Energy & Fuels
Lucas Rafael do Nascimento, Trajano de Souza Viana, Rafael Antunes Campos, Ricardo Ruther
Article
Green & Sustainable Science & Technology
Helena F. Naspolini, Ricardo Ruther
Article
Energy & Fuels
Marilia Braga, Lucas Rafael do Nascimento, Ricardo Ruther
Article
Green & Sustainable Science & Technology
Lucas Rafael do Nascimento, Marilia Braga, Rafael Antunes Campos, Helena Flavia Naspolini, Ricardo Ruther
Article
Energy & Fuels
Manfred G. Kratzenberg, Ricardo Ruther, Carlos R. Rambo
Article
Energy & Fuels
Anelise Medeiros Pires, Marilia Braga, Ricardo Ruther
Summary: The performance of three ground-mounted fixed-tilt photovoltaic systems in Florianopolis, Brazil was analyzed, with results showing that the CdTe with ARC PV system performed the best. Environmental parameters such as temperature and spectral content of sunlight were found to have the highest impacts on PV system performance.
PROGRESS IN PHOTOVOLTAICS
(2021)
Article
Green & Sustainable Science & Technology
Andrigo Filippo Antoniolli, Helena Flavia Naspolini, Joao Frederico de Abreu, Ricardo Ruther
Summary: The aim of this paper is to develop a methodology for assessing the energy yield of a large ensemble of residential rooftop photovoltaic (PV) generators. Through the application of Business Intelligence concepts and a technical-statistical algorithm, data exploration and strategic analysis were conducted for 1250 identical rooftop PV systems in Santa Catarina, Brazil. The methodology can be used to predict the generation of future PV ensembles and support distributed generation asset allocation planning.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Aline Kirsten Vidal de Oliveira, Mohammadreza Aghaei, Ricardo Ruther
Summary: aIRT has been proven to be a reliable and cost-efficient inspection method for failure detection in PV systems. Current research mainly focuses on autonomous fault detection and classification of PV plants, with accuracies up to 90%, but there are still issues with the accuracy, robustness, and generalization of the algorithms.
Article
Green & Sustainable Science & Technology
Andrigo Filippo Antoniolli, Helena Flavia Naspolini, Joao Frederico de Abreu, Ricardo Ruether
Summary: Residential rooftop PV adoption in Brazil and other sunbelt countries has seen a widespread increase due to the decreasing costs of PV technology. A case-study conducted in Florianópolis-Brazil evaluated the role and benefits of residential rooftop PV to prosumers. The study found that PV integration led to a reduction in utility's electricity consumption and an increase in prosumer's consumption, while significantly reducing the utility's expenses. The adoption of rooftop PV in Brazil was demonstrated to be advantageous, with decreasing payback times.
Proceedings Paper
Green & Sustainable Science & Technology
Aline Kirsten Vidal de Oliveira, Mohammadreza Aghaei, Uzoma Edward Madukanya, Lucas Nascimento, Ricardo Ruther
2018 IEEE 7TH WORLD CONFERENCE ON PHOTOVOLTAIC ENERGY CONVERSION (WCPEC) (A JOINT CONFERENCE OF 45TH IEEE PVSC, 28TH PVSEC & 34TH EU PVSEC)
(2018)
Proceedings Paper
Green & Sustainable Science & Technology
Lucas Rafael do Nascimento, Marilia Braga, Ruany Dolla, Rafael Antunes Campos, Ricardo Ruther
2018 IEEE 7TH WORLD CONFERENCE ON PHOTOVOLTAIC ENERGY CONVERSION (WCPEC) (A JOINT CONFERENCE OF 45TH IEEE PVSC, 28TH PVSEC & 34TH EU PVSEC)
(2018)
Proceedings Paper
Green & Sustainable Science & Technology
Rafael A. Campos, Lucas R. do Nascimento, Marilia Braga, Gabriel Simoes, Ricardo Ruther
2018 IEEE 7TH WORLD CONFERENCE ON PHOTOVOLTAIC ENERGY CONVERSION (WCPEC) (A JOINT CONFERENCE OF 45TH IEEE PVSC, 28TH PVSEC & 34TH EU PVSEC)
(2018)
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
