Design and off-design optimization procedure for low-temperature geothermal organic Rankine cycles. (15th May 2019)

• Record Type: Journal Article
• Authors: Van Erdeweghe, Sarah; Van Bael, Johan; Laenen, Ben; D'haeseleer, William
• Is Part Of: Applied energy. Volume 242(2019)
• Page Start: 716
• Page End: 731
• Publication Date: 2019-05-15
• Subjects: ORC -- Geothermal energy -- Design optimization -- Off-design performance; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2019.03.142
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Two-step optimization tool for design and off-design of binary geothermal ORCs. Brine temperature and electricity price are most-influencing parameters. Net power output varies from 1.95 MW to 4.74 MW for T env = 29.07 °C to −4.28 °C. Data reduction and splines reduce off-design calculation time by a factor of 88. Optimal ORC design for a given location, including off-design performance. Abstract: In this paper, a two-step optimization methodology for the design and off-design optimization of low-temperature (110–150 ° C ) geothermal organic Rankine cycles (ORCs) is proposed. For the investigated conditions—which are based on the Belgian situation—we have found that the optimal ORC design is obtained for design parameter values for the environment temperature and for the electricity price which are both higher than the respective yearly-averaged values. However, the net present value is negative (−12.62 MEUR) which indicates that the low-temperature (130 ° C ) geothermal electric power plant is not economically attractive for the investigated case. Nevertheless, and demonstrated by the results of a detailed sensitivity analysis, a low-temperature geothermal power plant might be economically feasible for geological sites with a higher brine temperature or in a country with a more favorable economic situation; e.g., with higher electricity prices ( ∼ 70 EUR/MWh). The novelty of our paper is the development of a thermoeconomic design optimization strategy for low-temperature geothermal ORCs, accounting for the off-design behavior already in the design stage. The generic methodology is valid for low-temperature geothermal ORCs (with MW scale power output) and includes detailed thermodynamic and geometric component models, is based on hourly data rather than monthly-averaged data and accounts for economics.