Operational experiences of municipal heating plants with biomass-fired ORC cogeneration units

Kalina, Jacek; Świerzewski, Mateusz; Strzalka, R.

doi:10.1016/j.enconman.2018.12.045

Cited by 32 publications

(8 citation statements)

References 20 publications

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“…1-Decreasing the energy intensity of buildings and industry by recovering waste heat [23] through the use of Combined Heat and Power (CHP) systems. 2-Developing a way to convert renewable energy sources (solar [24], geothermal [25], and biomass [26]) to electricity more efficiently [27].…”

Section: Introductionmentioning

confidence: 99%

Guideline for electricity generation from hot springs (natural energy storage systems): A techno-enviro-economic assessment

Ghoddousi

Rezaie

Ghandehariun

2021

Sustainable Energy Technologies and Assessments

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The scattered hot springs on the globe are natural thermal energy storages that are available for industrial and recreational advantages. A hot spring is a hydrothermal system that can be used for power generation purposes as well as deep-well geothermal plants. In the present study, a techno-enviro-economic study is conducted to determine the power generation potential of hot springs as a heat source of the Organic Rankine Cycle (ORC). The hot water temperature and discharge mass flow rate from hot springs varies from 60 to 90 ᵒC and 5 to 50 kg/s, respectively. The ORC plant is modeled by Aspen Plus V9. The impacts of the temperature and mass flow rate of discharge from hot springs on the thermodynamics and economics of the plants are investigated. The results indicate that increasing the hot spring temperature and discharge mass flow rate improves the thermal efficiency and power generation capacity of ORC plant while Payback Period (PP), Levelized Energy Cost (LEC), and Specific Investment Cost (SIC) shrink. The power generation capacity varies from 9.3 kW to 303 kW and the LEC range is from 0.03 $/kWh to 0.13 $/kWh based on the hot spring and water discharge mass flow rate.

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Section: Introductionmentioning

confidence: 99%

Guideline for electricity generation from hot springs (natural energy storage systems): A techno-enviro-economic assessment

Ghoddousi

Rezaie

Ghandehariun

2021

Sustainable Energy Technologies and Assessments

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“…A lot of research on ORC has been carried out . Dai et al have studied the performance of ORC with 10 different working fluids in which R236ea shows the highest exergy efficiency of 35.43%; Hettiarachchi et al evaluated the performance of different type of working fluids in details in an optimized ORC; Li et al compared ordinary ORC and two‐stage ORC in detail, and the results indicate that two‐stage ORC can decrease the irreversible loss; Wang et al used mixtures as the working fluid of subcritical ORC in order to get better system performance; Kalina et al presented two different systems based on ORC, operational parameters, size and investment which were especially considered; Zhang et al studied a kW‐scale ORC to study the effects of the mass flow of working fluid and heat source; Schuster et al studied the energy and exergy efficiencies of subcritical and supercritical ORC using different working fluids; Cayer et al compared the performance of CO 2 , ethane and R125 as the working fluid for a transcritical ORC; Zhang et al studied a R134a ORC, and the result shows that the discussed ORC has good sustainability; Uusitalo et al studied the performance of hydrocarbons, fluorocarbons and siloxanes as the working fluid for subcritical ORC and analyzed the effects of their critical properties; Yi et al proposed a multi‐objective mathematical programming model for ORC which takes environmental impact and thermo‐economic performance into account; Wang and Fu improved the efficiency of a solar assisted cogeneration system by coupling with an ORC, and an increment of 9.87% in efficiency was obtained . Wang et al and Lu et al conduct experimental research on the actual performances of an ORC using R601a/R600a and R1233zd as the working fluid.…”

Section: Introductionmentioning

confidence: 99%

A new power/cooling cogeneration system using R1234ze(E)/ionic liquid working fluid

Song

Zheng

et al. 2020

Int J Energy Res

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Summary A novel power/cooling system integrated with organic Rankine cycle and absorption‐compression refrigeration cycle was proposed in order to realize the cascade utilization of low‐grade energy. In the proposed system, R1234ze(E) (trans‐1,3,3,3‐tetrafluoropropene) is used as the working fluid for the organic Rankine cycle subsystem and the binary mixtures of R1234ze(E) with three ionic liquids [HMIM][BF4], [EMIM][BF4] and [OMIM][BF4] are used as working fluid for absorption‐compression refrigeration cycle subsystem due to their superior environmental protection property and physicochemical property. Moreover, in order to recover the heat of the exhaust gas from turbine in organic Rankine cycle subsystem, the exhaust gas is mixed with R1234ze(E)/ionic liquid solution directly in desorber, while the heat of refrigerant from desorber is recovered to reduce the heat load of condenser. The proposed system has much higher energy and exergy efficiency and lower heat load of condenser than reference system. Under specific conditions, increases of 0.24 and 0.07 in thermal efficiency and exergy efficiency of reference system can be achieved. The effect of distribution ratio, expansion ratio, heat source temperature, condensation temperature, generation temperature, evaporation temperature and compression ratio were analyzed for better design in actual application.

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“…As a technology capable of converting renewable and waste heat to electricity, the organic Rankine cycle (ORC) power plant has been widely investigated in the last decade. The growing interest in developing ORC systems is partly because it lends itself well to applications including geothermal energy [1], solar thermal energy [2], biomass energy [3], and low-grade waste heat recovery [4]. Furthermore, the system can be successfully adapted to a low [5] and medium [6] temperature energy sources due to great variety of possible working fluids, including refrigerants [7], hydrocarbons [8] or siloxanes [9].…”

Section: Introductionmentioning

confidence: 99%

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

2020

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Power plants based on organic Rankine cycle (ORC) are known for their capacity in converting low and medium-temperature energy sources to electricity. To find the optimal operating conditions, a designer must evaluate the ORC from different perspectives including thermodynamic performance, technological limits, economic viability, and environmental impact. A popular approach to include different criteria simultaneously is to formulate a bi-objective optimization problem. This type of multi-objective optimization (MOO) allows for finding a set of optimal design points by defining two different objectives. Once the optimization is completed, the decision-making analysis shall be carried out to identify the final design solution. This study aims to develop a decision-making tool for facilitating the choice of the optimal design point. The proposed procedure is coded in MATLAB based on the commonly used Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). By providing the capability to graphically identify the decisions taken, the tool developed in the study is called Tracking and Recognizing Alternative Design Solutions (TRADeS). Analysis of our data shows that certain regions of Pareto set points should be excluded from the design space. It was noted that in these regions a high rate at which one of the objectives moves away from its ideal value coincides with a low rate at which the second criterion approaches its ideal solution. Hence, it was recommended that the criteria weights corresponding to excluded regions of the Pareto set should be discarded when selecting the final design point. By comparing the results obtained using the proposed model to those of existing decision-making techniques, it was concluded that while the known approaches are appropriate for an easy and fast selection of the final design point, the presented procedure allows for a more comprehensive and well-rounded design. It was shown that our design tool can be successfully applied in the decision-making analysis for problems that aim at optimizing the ORC using two design criteria. Finally, the proposed software benefits from a generic structure and is easy to implement which will facilitate its use in other industrial applications.

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Operational experiences of municipal heating plants with biomass-fired ORC cogeneration units

Cited by 32 publications

References 20 publications

Guideline for electricity generation from hot springs (natural energy storage systems): A techno-enviro-economic assessment

Guideline for electricity generation from hot springs (natural energy storage systems): A techno-enviro-economic assessment

A new power/cooling cogeneration system using R1234ze(E)/ionic liquid working fluid

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

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