TY - GEN
T1 - Effect of cold source conditions on the design and control of organic rankine cycles for waste heat recovery from industrial processes
AU - Pili, Roberto
AU - Spliethoff, Hartmut
AU - Wieland, Christoph
N1 - Publisher Copyright:
© ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Organic Rankine Cycle systems are able to convert efficiently middle/low-grade heat sources into mechanical, electrical or combined heat and power, and are a valuable alternative to increase the energy efficiency of industrial processes. The investment costs of ORCs are a major limit for the integration of the technology in industrial sites, mainly because of the short payback time that industries request. For these reason, this work investigates measures to reduce the investment costs and avoid a case-by-case tailored design of ORCs. As benchmark, a case of waste heat recovery from billet reheat furnace is taken. The design and off-design of an air-cooled recuperated ORC is optimized for two different climate locations by using an integral optimization code developed in MATLAB®. A dynamic model is developed in Dymola to compare the control strategies as well. The results show that optimal economic performance can be achieved in the two locations by a similar design. This also results in similar parameter settings for the controllers, leading to small penalties when using the ORC system in climate conditions other than the design one, compared to a tailored design. The results provide important information for academia, industry and decision-makers to achieve a cost-effective design and operation of Organic Rankine Cycle units in different climate regions in view of a possible modularization and cost reduction.
AB - Organic Rankine Cycle systems are able to convert efficiently middle/low-grade heat sources into mechanical, electrical or combined heat and power, and are a valuable alternative to increase the energy efficiency of industrial processes. The investment costs of ORCs are a major limit for the integration of the technology in industrial sites, mainly because of the short payback time that industries request. For these reason, this work investigates measures to reduce the investment costs and avoid a case-by-case tailored design of ORCs. As benchmark, a case of waste heat recovery from billet reheat furnace is taken. The design and off-design of an air-cooled recuperated ORC is optimized for two different climate locations by using an integral optimization code developed in MATLAB®. A dynamic model is developed in Dymola to compare the control strategies as well. The results show that optimal economic performance can be achieved in the two locations by a similar design. This also results in similar parameter settings for the controllers, leading to small penalties when using the ORC system in climate conditions other than the design one, compared to a tailored design. The results provide important information for academia, industry and decision-makers to achieve a cost-effective design and operation of Organic Rankine Cycle units in different climate regions in view of a possible modularization and cost reduction.
KW - Environmental conditions
KW - Low grade waste heat recovery
KW - Optimization
KW - Organic Rankine cycle (ORC)
KW - Thermo-economic
UR - http://www.scopus.com/inward/record.url?scp=85079672580&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85079672580
T3 - ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
SP - 3039
EP - 3051
BT - ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
A2 - Stanek, Wojciech
A2 - Gladysz, Pawel
A2 - Werle, Sebastian
A2 - Adamczyk, Wojciech
PB - Institute of Thermal Technology
T2 - 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2019
Y2 - 23 June 2019 through 28 June 2019
ER -