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Economic viability and investment returns of innovative geothermal tri-generation systems: A comparative study

In a world grappling with escalating energy needs, environmental concerns, and economic constraints, the transition to renewable energy becomes critical. This study delves into geothermal energy, a promising renewable source, to develop four distinctive tri-generation systems (producing power, heat, and freshwater) optimized for economic efficiency and investment returns. The primary focus is on assessing these systems through an innovative lens of economic viability, including net present value (NPV) and payback periods, alongside their thermodynamic performance. Notably, System B emerges as the most economically advantageous, boasting the shortest payback period of 3.65 years and the highest NPV of $2.38 million, while System C trails with the lowest NPV of $0.32 million. Additionally, System D, identified as optimally complementary, undergoes comprehensive optimization using advanced algorithms and machine learning, achieving notable efficiencies and cost-effectiveness in power output, exergy, and freshwater production. This study not only underscores the potential of geothermal tri-generation systems in meeting energy, heat, and water needs but also highlights their significant economic benefits and investment attractiveness, offering a compelling case for their adoption in sustainable energy strategies.
- University of Malaya Malaysia
- University of Memphis United States
- Nanjing University of Science and Technology China (People's Republic of)
- Middlesex University United Kingdom
- Wenzhou Vocational and Technical College China (People's Republic of)
HB Economic Theory, 330, 650
HB Economic Theory, 330, 650
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
