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Parametric study and optimization analysis of a multi-generation system using waste heat in natural gas refinery- an energy and exergoeconomic analysis

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  • Ghavami, Morteza
  • Gholizadeh, Mohammad
  • Deymi-Dashtebayaz, Mahdi

Abstract

In this study, a novel multi-generation system based on actual conditions in the Khangiran gas refinery is proposed to recover waste heat sources of low-pressure (LP) steam and exhaust of boiler. The system composed of an organic Rankine cycle (ORC) for generating electricity and providing heating load, an absorption refrigeration cycle (ARC) to provide cooling load, and a boiler air preheater to increase boiler efficiency. Thermodynamic and exergoeconomic analyses are conducted to investigate the multi-generation system performance. A comparative study on the whole system performance is carried out to evaluate the effects of ORC with three different working fluids, i.e., R600, R601, and R245fa, considering the environmental effect and thermodynamic performance. Analyses considering affecting factors including LP steam flow rate, exhaust gas flow rate, LP steam temperature, and condensed LP steam temperature show that R601 has the best results as ORC working fluid. Besides, the performances of the proposed system for R601 are optimized using multi-objective optimization by the Pareto solution and TOPSIS method. Results show that at optimum conditions, the multi-generation system can generate 3804 kW net power, 1959.17 kW cooling capacity, 21269.38 kW heating load, and also thermal efficiency of ORC is 13.77%, COP of ARC is 0.751, and total thermal efficiency is 23.65%. In addition, exergetic efficiency for ORC and the entire system are 43.04 and 44.75, respectively, and the total investment cost rate is 102.03 $/h. Moreover, economic studies show that the payback period for the multi-generation system is 4.03 years.

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  • Ghavami, Morteza & Gholizadeh, Mohammad & Deymi-Dashtebayaz, Mahdi, 2023. "Parametric study and optimization analysis of a multi-generation system using waste heat in natural gas refinery- an energy and exergoeconomic analysis," Energy, Elsevier, vol. 272(C).
    • Handle: RePEc:eee:energy:v:272:y:2023:i:c:s0360544223005510
    DOI: 10.1016/j.energy.2023.127157
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    References listed on IDEAS

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    3. Ren, Xin-Yu & Li, Ling-Ling & Ji, Bing-Xiang & Liu, Jia-Qi, 2024. "Design and analysis of solar hybrid combined cooling, heating and power system: A bi-level optimization model," Energy, Elsevier, vol. 292(C).

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