In the industrial sector, efficient production and optimal use of thermal energy are primary concerns for managers and engineers. Considerable research has been devoted to improving and promoting thermal energy efficiency, especially energy recovery in the context of sustainability. Pinch analysis is one of the most powerful methods in this regard. To maximise the energy recovery (MER), the pinch method is well-established in designing an optimal heat exchange network (HEN). Exergy analysis is combined with the pinch method to minimise the work potential loss (exergy loss) while ensuring maximum heat recovery. This study presents a generic algorithm built using Python language to predict and quantify energy and exergy targets in industrial processes. It provides a framework to guide experts and planners in efficiently using the combined analysis tools. The generic algorithm is based on advanced numerical and graphical tools. It provides exergy problem table algorithm (Ex–PTA) and grand composite curve (EHR and HRP) tools. For ΔTmin = 10°C, the generic algorithm is implemented in a building complex case study. The energy targets for heating and cooling requirements are 316.2625 kW and 0 kW, respectively. The obtained exergy targets are less attractive given an improvement from advanced utility integration; this is due to the treated system (medium-temperature system) and not to the reliability and efficiency of the generic algorithm. To evaluate the generic algorithm calculations, they are executed in a low-temperature process in which pinch exergy analysis (PExA) has already been performed. The simulated and generated results are identical, demonstrating the reliability and effectiveness of the developed generic algorithm.
BurkeMJStephensJC. Political power and renewable energy futures: a critical review. Energy Res Soc Sci2018; 35: 78–93.
2.
HanYZengQGengZ,et al.Energy management and optimization modeling based on a novel fuzzy extreme learning machine: case study of complex petrochemical industries. Energy Convers Manage2018; 165: 163–171.
3.
XieSWangHPengJ. Energy efficiency analysis and optimization of industrial processes based on a novel data reconciliation. IEEE Access2021; 9: 47436–47451.
4.
ZhouSLiuXBianY,et al.Energy, exergy and exergoeconomic analysis of a combined cooling, desalination and power system. Energy Convers Manage2020; 218: 113.
5.
WangXSunB-GLuoQ-H. Energy and exergy analysis of a turbocharged hydrogen internal combustion engine. Int J Hydrogen Energy2019; 44: 5551–5563.
6.
Hohmann JrEC. Optimum networks for heat exchange. University of Southern California, 1971.
7.
LinnhoffBFlowerJR. Synthesis of heat exchanger networks: i. Systematic generation of energy optimal networks. AIChE J1978a; 24: 633–642.
8.
LinnhoffBFlowerJR. Synthesis of heat exchanger networks: ii. Evolutionary generation of networks with various criteria of optimality. AIChE J1978b; 24: 642–654.
9.
UmedaT, et al.Heat exchange system synthesis. 1978.
10.
KlemešJJVarbanovPSWalmsleyTG,et al.New directions in the implementation of pinch methodology (pm). Renewable Sustainable Energy Rev2018; 98: 439–468.
11.
ZhangDLvDYinC,et al.Combined pinch and mathematical program-ming method for coupling integration of reactor and threshold heat exchanger network. Energy2020; 205: 118070.
12.
MrayedSShamsMBAl-KhayyatM,et al.Application of pinch analysis to improve the heat integration efficiency in a crude distillation unit. Cleaner Eng Technol2021; 4: 100168.
13.
SharanPBandyopadhyayS. Energy integration of multiple-effect evaporator, thermo- vapor compressor, and background process. J Cleaner Prod2017; 164: 1192–1204.
14.
AnastasovskiARaskovićPGuzovićZ. A review of heat integration approaches for organic rankine cycle with waste heat in production processes. Energy Convers Manage2020; 221: 113175.
15.
AzizEAAlwiSRWLimJS,et al.An integrated pinch analysis framework for low co2 emissions industrial site planning. J Cleaner Prod2017; 146: 125–138.
16.
LiB-HCastilloYECChangC-T. An improved design method for retrofitting industrial heat exchanger networks based on pinch analysis. Chem Eng Res Des2019; 148: 260–270.
17.
SarkarJ. Generalized pinch point design method of subcritical-supercritical organic rankine cycle for maximum heat recovery. Energy2018; 143: 141–150.
18.
LinnhoffBHindmarshE. The pinch design method for heat exchanger networks. Chem Eng Sci1983; 38: 745–763.
19.
ZhangFLYuSRShenL,et al.The new pinch design method for heat exchanger networks. Advanced Materials Research2012; 512–515: 1253–1257.
20.
TanYLNgDKEl-HalwagiMM,et al.Floating pinch method for utility targeting in heat exchanger network (hen). Chem Eng Res Des2014; 92: 119–126.
21.
DuranMAGrossmannIE. Simultaneous optimization and heat integration of chemical processes. AIChE J1986; 32: 123–138.
22.
BonhiversJ-CSvenssonEBerntssonT,et al.Comparison between pinch analysis and bridge analysis to retrofit the heat exchanger network of a kraft pulp mill. Appl Therm Eng2014; 70: 369–379.
23.
GicquelR. Systèmes énergétiques, volume 1. Presses des MINES, 2009.
24.
ItohJNiidaKShirokoK,et al.Heat availability analysis of distillation systems. Energy Dev Jpn1979; 1. 4.
25.
LinnhoffBDholeVR. Shaftwork targets for low-temperature process design. Chem Eng Sci1992; 47: 2081–2091.
26.
DholeVRZhengJP. Applying combined pinch and exergy analysis to closed-cycle gas turbine system design. ASME. J. Eng. Gas Turbines Power1995; 117: 47–52.
27.
SciubbaEGöranW. A brief commented history of exergy from the beginnings to 2004. Int J Thermodyn2007; 10: 1–26.
28.
ArshadAAliHMHabibA,et al.Energy and exergy analysis of fuel cells: a review. Therm Sci Eng Prog2019; 9: 308–321.
29.
KumarR. A critical review on energy, exergy, exergoeconomic and economic (4-e) analysis of thermal power plants. Eng Sci Technol2017; 20: 283–292.
30.
DincerIRosenMA. Exergy: energy, environment and sustainable development. Newnes, 2012.
31.
Bou MalhamCZoughaibARivera TinocoR, et al. Hybrid optimization methodology (Exergy/Pinch) and application on a simple process. Energies2019; 12: 3324.
32.
BandyopadhyayRAlkildeOFUpadhyayulaS. Applying pinch and exergy analysis for energy efficient design of diesel hydrotreating unit. J Cleaner Prod2019; 232: 337–349.
33.
Arriola-MedellínAManzanares-PapayanopoulosERomo-MillaresC. Diagnosis and redesign of power plants using combined pinch and exergy analysis. Energy2014; 72: 643–651.
34.
GhannadzadehASadeqzadehM. Exergy aided pinch analysis to enhance energy integration towards environmental sustainability in a chlorine-caustic soda production process. Appl Therm Eng2017b; 125: 1518–1529.
35.
MarechalFFavratD. Combined exergy and pinch analysis for the optimal integration of energy conversion technologies. 2006.
36.
BettAKJalilinasrabadyS. Optimization of orc power plants for geothermal application in Kenya by combining exergy and pinch point analysis. Energies2021; 14: 6579.
37.
HamsaniMNWalmsleyTGLiewPY,et al.Combined pinch and exergy numerical analysis for low temperature heat exchanger network. Energy2018; 153: 100–112.
38.
TahirMFHaoyongCGuangzeH. Evaluating individual heating alternatives in integrated energy system by employing energy and exergy analysis. Energy2022; 249: 123753.
39.
Mateos-EspejelE. Development of a strategy for energy efficiency improvement in a Kraft process based on systems interactions analysis. PhD thesis, École Polytechnique de Montréal. 2009.
40.
ZhaoY-JZhangY-KCuiY, et al.Pinch combined with exergy analysis for heat exchange network and techno-economic evaluation of coal chemical looping combustion power plant with co2 capture. Energy2022; 238: 121720.
41.
NjokuEA. Combined pinch and exergy evaluation for fault analysis in a steam power plant heat exchanger network. J Energy Res Technol2019; 141(12): 122001.
42.
Mehdizadeh-FardEA. Improving energy efficiency in a complex natural gas refinery using combined pinch and advanced exergy analyses. Appl Therm Eng2018; 137: 341–355.
43.
BühlerFNguyenT-VJensenJK,et al.Energy, exergy and advanced exergy analysis of a milk processing factory. Energy2018; 162: 576–592.
44.
ManeshMKRosenM. Combined cycle and steam gas-fired power plant analysis through exergoeconomic and extended combined pinch and exergy methods. J Energy Eng2018; 144: 04018010.
45.
GhannadzadehASadeqzadehM. Combined pinch and exergy analysis of an ethylene oxide production process to boost energy efficiency toward environmental sustainability. Cleaner Technol Environ Policy2017a; 19: 2145–2160.
46.
ThibaultEA. A milp algorithm for utilities pre-design based on the pinch analysis and an exergy criterion. Comput Chem Eng2015; 75: 65–73.
47.
ThasaiJSiemanondK. Combined exergy-pinch analysis to improve cryogenic process. Chem Eng Trans2015; 43: 1435–1440.
48.
LaraEA. Design and analysis of heat exchanger networks for integrated ca-looping systems. Appl Energy2013; 111: 690–700.
49.
Marmolejo-CorreaEA. A new procedure for the design of LNG processes by combining exergy and pinch analyses. Proceedings of ECOS (2012).
50.
AtaeiEA. Combined pinch and exergy analysis for energy efficiency optimization in a steam power plant. Int J Phy Sci2010; 5: 1110–1123.
51.
SorinMParisJ. Combined exergy and pinch approach to process analysis. Comput Chem Eng1997; 21: S23–S28.
52.
FengXZhuX. Combining pinch and exergy analysis for process modifications. Appl Therm Eng1997; 17: 249–261.
53.
LinnhoffB. AIChE J1982
54.
KlemešJJVarbanovPSAlwiSRWW,et al.Process integration and intensification. De Gruyter, 2014.
55.
Marmolejo-CorreaDGundersenT. A new graphical representation of exergy appliedto low temperature process design.Computer aided chemical engineering, 312012: 1180–1184
56.
MalikJBardhanR. Energy target pinch analysis for optimising thermal comfort in low-income dwellings. J Build Eng2020; 28: 101045.
57.
MisevičiūteVMotuzienėVValančiusK. The application of the pinch method for the analysis of the heat exchangers network in a ventilation system of a building. Appl Therm Eng2018; 129: 772–781.
58.
HosseinniaSMSorinM. A systematic pinch approach to integrate stratified thermal energy storage in buildings. Energy Build2021; 232: 110663.
59.
Khalid I, Moha C, Cherkaoui M, et al. Heat integration applied on low thermal energy system: Building complex case study. In: E3S Web of Conferences, volume 234. EDP Sciences, 2021.
