Techno-economic analysis of waste heat recovery by inverted Brayton cycle applied to an LNG-fuelled transport truck

Aiming for the better environmental and economic performance of traditional engines, waste heat recovery (WHR) technologies are actively studied to find their most beneficial applications. In this work, the inverted Brayton cycle (IBC) is investigated as a potential WHR solution for liquefied natural gas (LNG) fuelled transport truck. LNG being one of the less polluting fossil fuels is widely spreading nowadays in different industries due to the rapid development of the LNG supply chain in the world. LNG-fuelled cargo transportation follows this prevailing trend. Based on the overexpansion of flue gases to subatmospheric pressure, inverted Brayton cycle, in turn, is considered a prospective technology of WHR and techno-economic analysis of IBC in several configurations on-board of a heavy transport truck have been assessed. IBC is integrated into the engine cooling system in the basic layout, and additionally, it incorporates LNG regasification process in advanced configurations. Power balance based on Aspen Hysys model enables to perform system optimisation and gives preliminary design parameters of the system components. Cost function approach provides the basis for a preliminary economic assessment of the layouts. Although the system shows fuel economy of maximum about 2.1 %, analysis revealed the necessity to continue the search for better technical solutions in IBC-based systems to make them economically attractive due to high cost of installed equipment.

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Thermo-economic analysis and multi-objective optimization of S-CO2 Brayton cycle waste heat recovery system for an ocean-going 9000 TEU container ship

Energy Conversion and Management ◽

10.1016/j.enconman.2020.113077 ◽

2020 ◽

Vol 221 ◽

pp. 113077 ◽

Cited By ~ 4

Author(s):

Pengcheng Pan ◽

Chengqing Yuan ◽

Yuwei Sun ◽

Xinping Yan ◽

Mingjian Lu ◽

...

Keyword(s):

Economic Analysis ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Waste Heat ◽

Brayton Cycle ◽

Container Ship ◽

Multi Objective Optimization ◽

Waste Heat Recovery System ◽

Recovery System ◽

Heat Recovery System

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Techno-Economic Assessment of Waste Heat Recovery Technologies for the Food Processing Industry

Energies ◽

10.3390/en13236446 ◽

2020 ◽

Vol 13 (23) ◽

pp. 6446

Author(s):

Sanjay Mukherjee ◽

Abhishek Asthana ◽

Martin Howarth ◽

Jahedul Islam Chowdhury

Keyword(s):

Low Temperature ◽

Food Processing ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Fossil Fuels ◽

Waste Heat ◽

Economic Assessment ◽

Hot Water ◽

Food Manufacturing ◽

Exhaust Gases

The food manufacturing sector is one of the most dominant consumers of energy across the globe. Food processing methods such as drying, baking, frying, malting, roasting, etc. rely heavily on the heat released from burning fossil fuels, mainly natural gas or propane. Less than half of this heat contributes to the actual processing of the product and the remaining is released to the surroundings as waste heat, primarily through exhaust gases at 150 to 250 °C. Recovering this waste heat can deliver significant fuel, cost and CO2 savings. However, selecting an appropriate sink for this waste heat is challenging due to the relatively low source temperature. This study investigates a novel application of gas-to-air low temperature waste heat recovery technology for a confectionary manufacturing process, through a range of experiments. The recovered heat is used to preheat a baking oven’s combustion air at inlet before it enters the fuel-air mixture. The investigated technology is compared with other waste heat recovery schemes involving Regenerative Organic Rankine Cycles (RORC), Vapour Absorption Refrigeration (VAR) and hot water production. The findings indicate that utilising an oven’s exhaust gases to preheat combustion air can deliver up to 33% fuel savings, provided a sufficiently large heat sink in the form of oven combustion air is available. Due to a lower investment cost, the technology also offers a payback period of only 1.57 years, which makes it financially attractive when compared to others. The studied waste heat recovery technologies can deliver a CO2 savings of 28–356 tonnes per year from a single manufacturing site. The modelling and comparison methodology, observations and outcomes of this study can be extended to a variety of low temperature food manufacturing processes.

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Waste heat recovery in a data center with an adsorption chiller: Technical and economic analysis

Energy Conversion and Management ◽

10.1016/j.enconman.2021.114576 ◽

2021 ◽

Vol 245 ◽

pp. 114576

Author(s):

Rohit Gupta ◽

Ishwar K. Puri

Keyword(s):

Economic Analysis ◽

Data Center ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Waste Heat ◽

Adsorption Chiller ◽

Technical And Economic Analysis

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Optimization of Supercritical CO2 Brayton Cycle for Simple Cycle Gas Turbines Exhaust Heat Recovery Using Genetic Algorithm

Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy ◽

10.1115/gt2017-63696 ◽

2017 ◽

Author(s):

Akshay Khadse ◽

Lauren Blanchette ◽

Jayanta Kapat ◽

Subith Vasu ◽

Kareem Ahmed

Keyword(s):

Genetic Algorithm ◽

Mass Flow Rate ◽

Flow Rate ◽

Supercritical Co2 ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Waste Heat ◽

Brayton Cycle ◽

Exhaust Heat ◽

Exhaust Heat Recovery

For the application of waste heat recovery (WHR), supercritical CO2 (S-CO2) Brayton power cycles offer significant suitable advantages such as compactness, low capital cost and applicable to a broad range of heat source temperatures. The current study is focused on thermodynamic modelling and optimization of Recuperated (RC) and Recuperated Recompression (RRC) S-CO2 Brayton cycles for exhaust heat recovery from a next generation heavy duty simple cycle gas turbine using a genetic algorithm. The Genetic Algorithm (GA) is mainly based on bio-inspired operators such as crossover, mutation and selection. This non-gradient based algorithm yields a simultaneous optimization of key S-CO2 Brayton cycle decision variables such as turbine inlet temperature, pinch point temperature difference, compressor pressure ratio. It also outputs optimized mass flow rate of CO2 for the fixed mass flow rate and temperature of the exhaust gas. The main goal of the optimization is to maximize power out of the exhaust stream which makes it single objective optimization. The optimization is based on thermodynamic analysis with suitable practical assumptions which can be varied according to the need of user. Further the optimal cycle design points are presented for both RC and RRC configurations and comparison of net power output is established for waste heat recovery.

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