Article
Thermodynamics
George Kallis, Tryfon C. Roumpedakis, Platon Pallis, Zoi Koutantzi, Antonios Charalampidis, Sotirios Karellas
Summary: The Marine ORC prototype unit is a waste heat recovery system based on a conventional low-temperature subcritical Organic Rankine Cycle. The system has shown improved environmental performance in several impact categories, but also has some negative effects, such as mineral resource consumption and terrestrial ecotoxicity.
Article
Thermodynamics
Xia Zhou, Hanwei Zhang, Yangyiming Rong, Jian Song, Song Fang, Zhuoren Xu, Xiaoqin Zhi, Kai Wang, Limin Qiu, Christos N. Markides
Summary: The annual energy consumption of cryogenic air separation units in China is high, with a significant amount of energy dissipated as waste heat during compression processes. The use of organic Rankine cycle (ORC) based waste heat recovery systems can effectively recover and utilize this waste heat, bringing economic and environmental benefits. Case studies and analysis show that the ORC-m-VCR system performs the best when the expansion work-electricity conversion efficiency is low.
Article
Thermodynamics
Oscar Garcia-Afonso, Agustin M. Delgado-Torres, Benjamin Gonzalez-Diaz
Summary: This paper addresses waste heat recovery with Organic Rankine Cycle (ORC) in piston engine-based power plants placed in isolated systems. The variability of available heat due to power plant load control is tackled through performance and economic evaluation of an intermediate thermal energy storage system. A techno-economic analysis of the proposed power plant is conducted, estimating a fuel economy gain and pollutant emission reduction of 5% to 7%.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Chenfang Wang, Lining Shi, Lvchen Wang, Yi Liu, Heping Liang, Jinhui Li, Yangjun Zhang, Weilin Zhuge, Xiaozhang Cheng, Yongqiang Liu
Summary: This study conducted thermal balance experiments and designed a dual-loop organic Rankine cycle system for the China VI natural gas engine to reduce cooling system difficulty and improve thermal efficiency. By using water as working fluid in the high-temperature loop to recover heat from engine exhaust and recirculation exhaust gas, and recovering heat from cooling water and waste heat in the low-temperature loop, the engine shows higher and more stable waste heat temperature than traditional engines, making it more adaptable to waste heat recovery.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Xia Zhou, Song Fang, Hanwei Zhang, Zhuoren Xu, Yubo Yao, Haoran Gan, Xiaoqin Zhi, Limin Qiu, Kai Wang
Summary: This paper conducts dynamic simulation of the ORVC-air compression heat recovery system (ORVCACS) and proposes an improved lumped parameter model. The results show that the ORVC-ACS can operate normally under design conditions and has significant energy saving and environmental performance.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Marine
Long Lyu, Ankang Kan, Wu Chen, Yuan Zhang, Bingchun Fu
Summary: This paper introduced an environmental method of generating electricity by recovering waste heat from a marine main engine, using organic Rankine cycle (ORC) technology to minimize carbon dioxide emissions for ships. The study analyzed the impact of various engine loads and operating times on the performance of the ORC system using three different dry-type substances. The results showed that Cyclohexane provided net power while Benzene was more efficient in terms of thermal efficiency. The study also provided emission data based on a voyage cycle of a container ship.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Jing Bian, Hanfei Zhang, Liqiang Duan, Umberto Desideri, Yongping Yang
Summary: This article proposes a new system integrated with gas turbine, MCFC and ORC for CO2 capture. The system effectively reduces the energy consumption of CO2 capture and improves the thermal and economic performances compared to traditional methods.
Article
Thermodynamics
Jinbo Qu, Yongming Feng, Yuanqing Zhu, Song Zhou, Wenping Zhang
Summary: In the context of global decarbonization, there is increasing focus on improving the energy efficiency of marine power plants, with the use of a high-efficiency waste heat recovery system that can generate up to 1,079.1 KW of power at 100% load. The system demonstrated stable operation and high thermal efficiency and exergy efficiency at 90% load. Further techno-economic evaluation showed a payback period of 5.2 years for the system.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Jui-Ching Hsieh, Chun-Chieh Lai, Yen-Hsun Chen
Summary: The performance and economy of a waste heat recovery system with a fin tube heat exchanger and an organic Rankine cycle system were investigated. It was found that the temperature and mass flow rate of the flue gas had positive and negative effects on the output power, while the evaporation temperature had a positive effect on the effectiveness of the heat exchanger. Furthermore, the system performance and economy can be improved by adjusting the flow rate of the working fluid through the expander.
Article
Thermodynamics
Bingchun Liu, Mengya Jia, Yu Liu
Summary: Waste heat recycling has great potential for reducing greenhouse gas emissions. A prediction model forecasts China's energy consumption under different climate scenarios and estimates the potential of waste heat recycling. The results show significant potential for waste heat recycling and economic feasibility.
APPLIED THERMAL ENGINEERING
(2024)
Review
Green & Sustainable Science & Technology
Reyhaneh Loni, Gholamhassan Najafi, Evangelos Bellos, Fatemeh Rajaee, Zafar Said, Mohamed Mazlan
Summary: Waste heat recovery through organic Rankine cycle technology is an effective way to produce energy products, reduce CO2 emissions, and improve system efficiency.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Xuanang Zhang, Xuan Wang, Jinwen Cai, Rui Wang, Xingyan Bian, Zhaoxian He, Hua Tian, Gequn Shu
Summary: Engine cooling water contains waste heat, and waste heat recovery (WHR) is essential for improving engine efficiency. However, extreme cooling water temperatures can negatively impact engine emissions and performance. This study proposes a parallel dual expander organic Rankine cycle (ORC) system that can operate in multiple modes to efficiently recover and utilize waste heat from engine cooling water under varying conditions. Through experimental studies, the system characteristics and operation strategy were explored, and four operation modes were developed based on extensive performance experiments. The feasibility of this operating strategy was verified through experiments with 16 different heat sources, demonstrating effective adaptation to heat source variation and the ability to expand applicable conditions by 120%. This study provides a foundation for the practical application of the ORC-WHR system.
Article
Thermodynamics
Lixia Kang, Jianping Tang, Yongzhong Liu
Summary: This paper presents a three-step method for designing the optimal ORC waste heat recovery system that meets the requirements of multi-period and multi-source heat recovery. The method involves selecting candidate working fluids and WHRS cycles, establishing a multi-source and multi-cycle WHRS model, and finalizing the design using a time-sharing model.
Review
Engineering, Environmental
Mohammad Ja'fari, Muhammad Imran Khan, Sami G. Al-Ghamdi, Artur J. Jaworski, Faisal Asfand
Summary: In energy intensive industries, the use of ORC technology for waste heat recovery can enhance energy efficiency, reduce carbon emissions, and provide a solution for energy saving in the iron and steel sector, contributing to the fight against climate change.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Wenyu Li, Xiang Ling
Summary: This paper proposes an optimization framework for the ORC-WHR system based on a serialized turbine database. By investigating the construction method of the turbine database and conducting case studies, the effectiveness and innovation of the proposed framework are demonstrated. The optimization framework can reduce investment costs and promote the application of the ORC-WHR system.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Energy & Fuels
Aki Gronman, Jonna Tiainen, Ahti Jaatinen-Varri
Article
Energy & Fuels
Antti Uusitalo, Teemu Turunen-Saaresti, Juha Honkatukia, Jonna Tiainen, Ahti Jaatinen-Varri
Article
Green & Sustainable Science & Technology
Jonna Tiainen, Aki Gronman, Ahti Jaatinen-Varri, Lauri Pyy
Article
Thermodynamics
Antti Uusitalo, Teemu Turunen-Saaresti, Juha Honkatukia, Radheesh Dhanasegaran
Article
Thermodynamics
Aki Gronman, Janne Nerg, Eerik Sikanen, Teemu Sillanpaa, Niko Nevaranta, Eero Scherman, Antti Uusitalo, Nikita Uzhegov, Alexander Smirnov, Juha Honkatukia, Petri Sallinen, Rafal P. Jastrzebski, Janne Heikkinen, Jari Backman, Juha Pyrhonen, Olli Pyrhonen, Jussi Sopanen, Teemu Turunen-Saaresti
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Energy & Fuels
Antti Uusitalo, Aki Gronman
Summary: This study investigated the losses of supercritical CO2 radial turbines with design power scales of about 1 MW through computational fluid dynamic simulations and compared the results with loss predictions from enthalpy loss correlations. The findings showed that a reasonably good agreement between the 1D loss correlations and computational fluid dynamics results can be obtained by using a suitable set of loss correlations, with deviations in predicted rotor losses especially pronounced in turbines with the highest or lowest specific speeds.
Article
Energy & Fuels
Viktor Elistratov, Mikhail Konishchev, Roman Denisov, Inna Bogun, Aki Gronman, Teemu Turunen-Saaresti, Afonso Julian Lugo
Summary: To address the challenges of energy systems in the Arctic regions, an advanced intelligent automatic control system is proposed in this study. This system is based on predictions of weather, wind, and ice accretion, and effectively reduces fuel consumption and icing effects through dynamic power redistribution, control of dump loads, and a bi-directional current transducer.
Article
Thermodynamics
Antti Uusitalo, Teemu Turunen-Saaresti, Aki Gronman
Summary: The study investigates the effect of design power scale and specific speed on supercritical CO2 operated radial inflow turbines within the power range of 0.1 MW-3.5 MW. It shows that the SCO2 radial turbines can be designed for high efficiency, but with small dimensions and significantly high rotational speeds. Specific speed and mass flow rate have a significant impact on both the geometry and turbine loss distribution.
Article
Energy & Fuels
Vilppu Eloranta, Aki Groenman, Aleksandra Woszczek
Summary: This study developed an efficient and applicable multi-objective optimization method for building energy systems and applied it to a campus building in Lahti, Finland. The analysis showed that economically beneficial local energy production and storage retrofits do not always lead to reductions in life cycle CO2-eq emissions, highlighting the importance of correct emission factors and assumptions for reliable optimization results.
Article
Thermodynamics
Antti Uusitalo, Marta Zocca
Summary: This study investigates the application of radial inflow turbines in ORC systems with transcritical and close to critical point expansion. By combining turbine design and turbine loss analysis with thermodynamic cycle analysis, the design and efficiency of ORC turbines for these cycles are studied in detail. Six fluids, including hydrocarbons and fluorocarbons, are investigated. The results show that using a supercritical inlet state leads to more compact turbine dimensions, increased power, and rotational speed, while higher turbine efficiencies are achieved with subcritical inlet conditions.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Mechanical
Jonna Tiainen, Ahti Jaatinen-Varri, Aki Gronman, Petri Sallinen, Juha Honkatukia, Toni Hartikainen
Summary: This study analyzes the accuracy of currently available methods for predicting axial thrust in turbomachines, and proposes a new simple estimation method that combines the advantages of previous methods for more accurate results. The new method is validated against public data from a radial pump and experimental data from a centrifugal compressor and gas turbines, showing a maximum deviation of less than 13% compared to other methods.
INTERNATIONAL JOURNAL OF ROTATING MACHINERY
(2021)
Proceedings Paper
Engineering, Mechanical
Aki Gronman, Petri Sallinen, Juha Honkatukia, Jari Backman, Antti Uusitalo, Janne Nerg, Ahti Jaatinen-Varri
PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2019, VOL 8
(2019)
Article
Engineering, Mechanical
Brett Dewar, Jonna Tiainen, Ahti Jaatinen-Varri, Mike Creamer, Mariana Dotcheva, Jovana Radulovic, James M. Buick
INTERNATIONAL JOURNAL OF ROTATING MACHINERY
(2019)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
