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Article
Thermodynamics
Yubin Wang et al.
Summary: This paper presents a collaborative energy management strategy for the regional integrated energy system (RIES) to address operational uncertainties and electricity market transaction rules.
Article
Thermodynamics
Kasra Aliyon et al.
Summary: The objective of this study is to develop an artificial intelligence (AI) based approach that predicts the utility consumptions of different absorption-based carbon capture (ACC) process designs. The AI models show an error between 0.4% and 3.6% for predicting the specific reboiler duty, which is crucial for the operational costs of ACC plants. Moreover, the study identifies the influence of each process parameter on energy consumption using explainable artificial intelligence.
Review
Green & Sustainable Science & Technology
Mohammad Amin Vaziri Rad et al.
Summary: Excess electricity in hybrid renewable energy systems (HRESs) can greatly affect the stability, affordability, and reliability of the energy system. This study aims to identify and classify prevalent and practical methods for reducing excess electricity based on performance concepts. Deferrable load, power to heat, storage banks, power to hydrogen, power to gas cycles, multiple generators, and loss of power supply were found to be the most prevalent methods.
Article
Green & Sustainable Science & Technology
Seyed Ali Mousavi et al.
Summary: The study proposes an off-grid hybrid renewable configuration consisting of PV panels, wind turbines, a battery bank, and a biogas generator to determine the most reliable and economical way to meet electricity demand in remote areas. Exergy and environmental analyses, along with techno-economic optimization, are applied to four dispatch strategies, with the results showing that PV modules had the highest share in exergy destruction. The cost-effective index indicated that the vertical tracking mode was the most cost-effective option.
Article
Energy & Fuels
Nahid Taherzadeh-Shalmaei et al.
Summary: This study aimed to address the challenges of energy consumption and environmental emissions in the mushroom production sector through energy audit analysis and life cycle assessment. Results showed significant energy imbalance and inefficiency in mushroom production, with electrical energy consumption being the largest contributor. The study also identified opportunities for energy savings, particularly in compost, through the use of optimization techniques.
Article
Energy & Fuels
Miao Wang et al.
Summary: This paper proposes an operation dispatching model of the integrated energy system based on hydrogen fuel cell (HFC), considering system safety as the constraint and minimum economic cost as the objective function. Its economic dispatching model is established using the distributionally robust optimization (DRO) model to handle the uncertainty of renewable energy output. The results show that the use of hybrid energy storage equipment can reduce economic cost and improve the stability of the energy storage equipment.
Article
Thermodynamics
Ashkan Toopshekan et al.
Summary: Using optimization algorithms and developing dispatch strategies are crucial for sizing renewable energy systems. This study employs the Teaching Learning-based Optimization (TLBO) algorithm to determine the optimal size of a Combined Heat and Power (CHP) system. The developed dispatch strategy considers various factors and has led to cost reduction and improved efficiency.
Article
Energy & Fuels
Mohamed R. Gomaa et al.
Summary: This study investigates the use of renewable energy systems to operate a SWRO desalination station. The optimal hybrid power system configuration is PV-Wind-Diesel Generator-Battery, which has the lowest cost of energy and CO2 emissions.
Article
Energy & Fuels
Raheela Jamal et al.
Summary: This paper solves the stochastic optimal reactive power dispatch problem considering the uncertainties of renewable resources. It proposes an efficient version of the Artificial Hummingbird Algorithm to enhance exploration and exploitation behavior. The results show the effectiveness and superiority of the proposed algorithm compared to conventional algorithms.
Article
Energy & Fuels
Rajib Lohan Dash et al.
Summary: This study thoroughly analyzes the energy, economic, and environmental performance of different battery energy storage systems and mechanical energy storage systems using various dispatch strategies. It proves the superiority of lithium-ion batteries in terms of energy, economic, and environmental aspects.
RENEWABLE ENERGY FOCUS
(2023)
Article
Energy & Fuels
Ali Khosravani et al.
Summary: This study evaluates the feasibility of using hybrid renewable energy systems (HRES) to provide electricity in four locations in the United States. The study uses simulation and assessment to determine the levelized cost of electricity and societal cost of electricity for each location. Different factors such as carbon taxes, health benefits, and renewable fractions are considered in the analysis. The results show the ideal renewable fraction for each location and the potential impact of health benefits on the optimal renewable fraction.
Article
Thermodynamics
Aykut Fatih Guven et al.
Summary: This article uses the Harmony Search algorithm to determine the optimal sizing of components in a Hybrid Renewable Energy System (HRES) and compares it with other methods. The HRES consists of PV, wind turbine, battery, diesel generator, and inverter components, with a rule-based energy management scheme to minimize costs and meet energy demand. Simulation results show that the Harmony Search algorithm provides the optimal solution.
Article
Energy & Fuels
Arif Sari et al.
Summary: The main objective of this study is to propose a multi-objective and optimal hybrid PV/diesel generator/battery Renewable Energy System (HRES) to ensure reliability in Hotan county, located in the Taklamakan Desert. The study adopts the epsilon-constraint method and an improved coyote optimization algorithm to determine the optimal component sizes, considering factors such as loss of load probability, CO2 emissions, and system cost. Sensitivity analysis is also conducted to assess the impact of each component. The results show that implementing a DG backup system increases the annual cost of the system by 10.42% due to higher fuel consumption. Furthermore, the LLP increases from 0% to 9.19% and CO2 emissions increase from 2531.2 kg/yr to 13257 kg/yr. The cost of electricity (COE) decreases from 0.39 $/kWh to 0.24 $/kWh as PV penetration decreases from 92.27% to 59.42%. These findings indicate that the fuel cost of the system has a greater influence on the COE than the cost of PV, primarily due to the lower cost of conventional power production. Additionally, the study reveals the significant impact of battery storage unit size on CO2 emissions. The size of epsilon(CO2) increases from 27.4 kWh to 50 kWh within a range of 7000 kg/year to 25 kg/year. The results are compared with those obtained using a PSO-based optimal system and HOMER software, demonstrating the superiority of the proposed approach.
Article
Thermodynamics
Shahid Nawaz Khan et al.
Summary: This study proposes an integrative decision-making framework for renewable energy microgrids in northern Pakistan, aiming to address the low utilization of renewable potential and provide sustainable and economically viable solutions. The analysis shows that a combination of solar PV and hydro remains the most feasible configuration, and the developed model can support decision-making and policy optimization for UN-SDGs, government, and private investors.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Reza Babaei et al.
Summary: The selection of the best component arrangement and sizing measurement is crucial for providing a reliable, consistent, and cost-effective energy supply in hybrid energy systems (HES). This study analyzes the techno-economic feasibility of a standalone HES on Pelee Island, Canada, and identifies the Scenario II solution as the most favorable option. The Scenario II solution includes 152 kW PV module, 200 kW diesel generator, 190 kW converters, and 853 kWh lithium-ion battery, resulting in the lowest NPC and LCOE. Lithium-ion battery-based hybrid options maintain their lowest LCOE and NPC over variations in fuel price, irradiance, and required load.
Article
Energy & Fuels
Ali Saleh Aziz et al.
Summary: The selection of an appropriate dispatch strategy is crucial in designing a hybrid energy system (HES) due to its significant impact on stability, reliability, environmental, and economic performance. This paper investigates the optimal design of an off-grid PV/diesel/battery HES for rural electrification in Iraq. A new dispatch strategy is developed with a 12-hour foresight using MATLAB Link module. The proposed strategy outperforms the default cycle charging (CC) strategy in terms of technical, economic, and environmental performance, with lower NPC, higher renewable fraction, and reduced CO2 emissions.
Review
Computer Science, Artificial Intelligence
Yuekuan Zhou
Summary: This study provides a comprehensive review on the application of artificial intelligence in carbon-neutral district communities. The results show that machine learning techniques have been widely used in energy supply, energy storage, district energy demands, and energy management. The research also reveals the trend of combining renewable energy supply and energy storage in low-carbon energy systems.
Review
Energy & Fuels
Jessica Walther et al.
Summary: This paper reviews existing approaches to predict or forecast energy consumption in the manufacturing industry in the context of the European Green Deal, addressing the environmental challenges faced by the industry. The review categorizes seventy-two articles and derives future research activities based on the findings.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang et al.
Summary: The study developed a spectral splitting PV/T system utilizing Ag nanofluid to balance heat and electricity harvesting in buildings. Indoor experimental results showed that increased solar radiation had negligible impact on electrical efficiency, while increasing optical thickness or mass fraction reduced electricity yield but increased heat utilization.
Article
Computer Science, Information Systems
Md Fatin Ishraque et al.
Summary: This study evaluates the design and optimization of off-grid hybrid microgrid systems for different load dispatch strategies, analyzing component sizes, system responses, and cost analyses. Simulation results suggest that 'Load Following' is the best dispatch strategy for stable power system response with lower costs and CO2 emissions.
Article
Green & Sustainable Science & Technology
Mala Ramesh et al.
JOURNAL OF CLEANER PRODUCTION
(2020)
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Thermodynamics
Ashkan Toopshekan et al.
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Energy & Fuels
Kelebogile Meje et al.
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Thermodynamics
Barun K. Das et al.
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Green & Sustainable Science & Technology
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K. Murugaperumal et al.
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Management
Kok Yew Soon et al.
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT
(2019)
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M. Naderi et al.
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Thermodynamics
Shakti Singh et al.
ENERGY CONVERSION AND MANAGEMENT
(2016)
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Energy & Fuels
Lanre Olatomiwa
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Energy & Fuels
Anand Singh et al.
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Green & Sustainable Science & Technology
Giovanni Gualtieri et al.