Minimum energy requirements in industrial processes: An application of exergy analysis

Energy ◽  
1990 ◽  
Vol 15 (11) ◽  
pp. 1023-1028 ◽  
Author(s):  
Sergio Alvarado ◽  
José Iribarne
Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3324 ◽  
Author(s):  
Bou Malham ◽  
Zoughaib ◽  
Tinoco ◽  
Schuhler

In the light of the alarming impending energy scene, energy efficiency and exergy efficiency are unmistakably gathering momentum. Among efficient process design methodologies, literature suggests pinch analysis and exergy analysis as two powerful thermodynamic methods, each showing certain drawbacks, however. In this perspective, this article puts forward a methodology that couples pinch and exergy analysis in a way to surpass their individual limitations in the aim of generating optimal operating conditions and topology for industrial processes. Using new optimizing exergy‐based criteria, exergy analysis is used not only to assess the exergy but also to guide the potential improvements in industrial processes structure and operating conditions. And while pinch analysis considers only heat integration to satisfy existent needs, the proposed methodology allows including other forms of recoverable exergy and explores new synergy pathways through conversion systems. A simple case study is proposed to demonstrate the applicability and efficiency of the proposed method.


2000 ◽  
Author(s):  
Juergen Mueller ◽  
Stephen Vargo ◽  
Amanda Green ◽  
David Bame ◽  
Robert Orens ◽  
...  

Energy ◽  
1992 ◽  
Vol 17 (8) ◽  
pp. 791-803 ◽  
Author(s):  
Willem van Gool

1990 ◽  
Vol 95 (1) ◽  
pp. 169-181 ◽  
Author(s):  
PIETRO MAZZEI ◽  
MAURIZIO SASSO ◽  
RITA MASTRULLO

2007 ◽  
Vol 97 (6) ◽  
pp. 1169-1176 ◽  
Author(s):  
Kirsten L. Rennie ◽  
Andy Coward ◽  
Susan A. Jebb

Under-reporting (UR) of energy intake (EI) by self-reported dietary methods is well-documented but the methods used to estimate UR in population-based studies commonly assume a sedentary lifestyle. We compared estimated UR using individualised estimates of energy requirements with a population cut-off based on minimum energy needs. UR was estimated for 1551 adults aged 19–64 years enrolled in the National Diet and Nutrition Survey. Physical activity diaries and 7 d weighed dietary records were completed concurrently. Mean daily EI (kJ/d) was calculated from the dietary records. Reported physical activity was used to assign each subject's activity level, and then to calculate estimated energy requirements (EER) from published equations. UR was calculated both as EER – EI with an adjustment for daily EER and EI variation, and also by a population method. By the individual method UR was approximately 27 % of energy needs in men and 29 % in women, with 75 % of men and 77 % of women classified as under-reporters; by the population method 80 and 88 % were classified as under-reporters respectively. When subjects who reported their eating being affected by dieting or illness during dietary recording were excluded, UR was 25 % of energy needs in both sexes. UR was higher in overweight and obese men and women compared with their lean counterparts (P < 0·001). UR of EI must be considered in dietary surveys. The EER method allows UR to be quantified and takes into account an individual's activity level. Measures of physical activity and questions to identify under-eating during dietary recording may help to evaluate secular trends in UR.


2019 ◽  
Author(s):  
Hadrien Delattre ◽  
Jing Chen ◽  
Matthew Wade ◽  
Orkun S Soyer

ABSTRACTMicrobial communities are complex dynamical systems harbouring many species interacting together to implement higher-level functions. Among these higher-level functions, conversion of organic matter into simpler building blocks by microbial communities underpins biogeochemical cycles and animal and plant nutrition, and is exploited in biotechnology. A prerequisite to predicting the dynamics and stability of community-mediated metabolic conversions, is the development and calibration of appropriate mathematical models. Here, we present a generic, extendable thermodynamic model for community dynamics accounting explicitly for metabolic activities of composing microbes, system pH, and chemical exchanges. We calibrate a key parameter of this thermodynamic model, the minimum energy requirement associated with growth-supporting metabolic pathways, using experimental population dynamics data from synthetic communities composed of a sulfate reducer and two methanogens. Our findings show that accounting for thermodynamics is necessary in capturing experimental population dynamics of these synthetic communities that feature relevant species utilising low-energy growth pathways. Furthermore, they provide the first estimates for minimum energy requirements of methanogenesis and elaborates on previous estimates of lactate fermentation by sulfate reducers. The open-source nature of the developed model and demonstration of its use for estimating a key thermodynamic parameter should facilitate further thermodynamic modelling of microbial communities.


2016 ◽  
Vol 56 (2) ◽  
pp. 606
Author(s):  
Nazreen Begum Najibullah Khan ◽  
Ahmed Barifcani ◽  
Moses Tade ◽  
Vishnu Pareek

The natural gas liquefaction process consists of a sequence of refrigeration cycles that consumes a considerable amount of energy. The separation of natural gas (NG) from the natural gas liquids (NGL) is considered to be one of the significant parts in the liquefaction of natural gas, as this will influence the LNG product quality. The integration of NGL section with the liquefaction process is one of the fundamental ways to improve the efficiency of the process and provide economic benefit from operating and capital cost perspectives. In this extended abstract, two different configurations of NGL section integrated with the ethylene refrigeration cycle for the Cascade LNG plant—processing 5 million tonnes per annum (MTPA)—are proposed. The objectives of the proposed concepts are to meet the LNG higher heating value (HHV) specification and to achieve minimum power consumption for the refrigeration cycle. Exergy analysis is used as a thermodynamic tool to evaluate the efficiency of the process. The process was simulated using Aspen HYSYS and the results of the proposed configurations are presented and analysed. The proposed configurations can be used to produce LNG and NGL with minimum energy consumption.


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