Libero SESTI OSSEO | IMPIANTI CHIMICI II

cod. 0622200008

IMPIANTI CHIMICI II

	0622200008
	DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
	CORSO DI LAUREA MAGISTRALE
	INGEGNERIA CHIMICA
	2015/2016

CURRICULUM ENERGIA E AMBIENTE

	OBBLIGATORIO
	ANNO CORSO 2
	ANNO ORDINAMENTO 2014
	PRIMO SEMESTRE

MODULI

	SSD	CFU	ORE	ATTIVITÀ	TIPO DI ATTIVITÁ FORMATIVA
	ING-IND/25	9	90	LEZIONE	CARATTERIZZANTE

DOCENTI

	LIBERO SESTI OSSEO T Curriculum
	IOLANDA DE MARCO Curriculum
	ERNESTO REVERCHON Curriculum

	Obiettivi
	LEARNING OUTCOMES: EXPECTED LEARNING OUTCOMES AND COMPETENCES THE COURSE AIMS TO PROVIDE OR, IN SOME CASES, TO IMPROVE THE PROCESS EQUIPMENT DESIGN TOOLS IN THE CHEMICAL AND FOOD INDUSTRIES. CONCERNING THE DESIGN OF THE EQUIPMENTS THAT STUDENTS ALREADY KNOW, IN THIS COURSE THE CONNECTIONS BETWEEN THERMODYNAMICS AND CHEMICAL ENGINEERING PRINCIPLES ARE EMPHASIZED, EVEN FOR SYSTEMS UN-IDEAL AND MULTI-COMPONENTS. AN ADDITIONAL TRAINING TARGET IS TO INCREASE THE NUMBER OF UNIT OPERATIONS KNOWN, HIGHLIGHTING THE PROCEDURE THAT MAKE POSSIBLE TO DEVELOP A GENERAL METHODOLOGY FOR THEIR DESIGN. MOREOVER, SOME CONCEPT AND TOOLS EASY TO MANAGE FOR MINIMIZATION OF OPERATING COST AND ENERGY CONSUMPTION IN THE PLANTS. KNOWLEDGE AND UNDERSTANDING UNDERSTANDING UNIT OPERATIONS DESIGN METHODOLOGIES AND SELECTION OF MODELS MORE SUITABLE TO DESIGN UNIT OPERATIONS AND EQUIPMENTS, CONSIDERING PRODUCT COMPOSITION AND OPERATING CONDITIONS. THE GENERAL APPROACH FOR DIFFERENT UNIT OPERATION DESIGN IS SHOWN AND DISCUSSED. APPLYING KNOWLEDGE AND UNDERSTANDING BEING ABLE TO CHOOSE AND USE MATHEMATICAL MODELS TO DESIGN THE MOST APPROPRIATE EQUIPMENT AND THE MOST COMMON PLANTS IN THE CHEMICAL AND FOOD PROCESSING INDUSTRY. MAKING JUDGMENTS IN UNIT OPERATION DESIGN, TO KNOW HOW TO SET THE DESIGN RELATED TO THE SYSTEM, TO THE SCOPE TO BE ACHIEVED (COMPLETE RIGOROUS DESIGN, APPROXIMATE SOLUTION OR FIRST TRIAL APPROACH) AND RELATED TO THE TOOLS AND THE TIME AVAILABLE. IN THE PLANT OPERATION, TO BE ABLE TO INTERACT WITH THE UNIT OPERATION AND EQUIPMENT THROUGH THE SET OF PROCESS PARAMETERS, MAKING IN A SHORT TIME A QUALITATIVE PREDICTION OF THE PLANT DYNAMIC ANSWER. COMMUNICATION SKILLS TO IMPROVE THE TECHNICAL LANGUAGE AND BE AWARE OF USING COMMUNICATION PROTOCOLS. LEARNING SKILLS TO KNOW HOW TO APPLY THE ACQUIRED KNOWLEDGE ALSO TO DIFFERENT ENVIRONMENTS WITH RESPECT TO THOSE PRESENTED DURING THE COURSE. TO UNDERSTAND DESIGN CALCULATION MODEL FOR UNIT OPERATIONS, WITH RESPECT TO THOSE INCLUDED AND ALSO TO THOSE NOT INCLUDED IN THE COURSE.

LEARNING OUTCOMES: EXPECTED LEARNING OUTCOMES AND COMPETENCES
THE COURSE AIMS TO PROVIDE OR, IN SOME CASES, TO IMPROVE THE PROCESS EQUIPMENT DESIGN TOOLS IN THE CHEMICAL AND FOOD INDUSTRIES.
CONCERNING THE DESIGN OF THE EQUIPMENTS THAT STUDENTS ALREADY KNOW, IN THIS COURSE THE CONNECTIONS BETWEEN THERMODYNAMICS AND CHEMICAL ENGINEERING PRINCIPLES ARE EMPHASIZED, EVEN FOR SYSTEMS UN-IDEAL AND MULTI-COMPONENTS.
AN ADDITIONAL TRAINING TARGET IS TO INCREASE THE NUMBER OF UNIT OPERATIONS KNOWN, HIGHLIGHTING THE PROCEDURE THAT MAKE POSSIBLE TO DEVELOP A GENERAL METHODOLOGY FOR THEIR DESIGN.
MOREOVER, SOME CONCEPT AND TOOLS EASY TO MANAGE FOR MINIMIZATION OF OPERATING COST AND ENERGY CONSUMPTION IN THE PLANTS.

KNOWLEDGE AND UNDERSTANDING
UNDERSTANDING UNIT OPERATIONS DESIGN METHODOLOGIES AND SELECTION OF MODELS MORE SUITABLE TO DESIGN UNIT OPERATIONS AND EQUIPMENTS, CONSIDERING PRODUCT COMPOSITION AND OPERATING CONDITIONS. THE GENERAL APPROACH FOR DIFFERENT UNIT OPERATION DESIGN IS SHOWN AND DISCUSSED.

APPLYING KNOWLEDGE AND UNDERSTANDING
BEING ABLE TO CHOOSE AND USE MATHEMATICAL MODELS TO DESIGN THE MOST APPROPRIATE EQUIPMENT AND THE MOST COMMON PLANTS IN THE CHEMICAL AND FOOD PROCESSING INDUSTRY.

MAKING JUDGMENTS
IN UNIT OPERATION DESIGN, TO KNOW HOW TO SET THE DESIGN RELATED TO THE SYSTEM, TO THE SCOPE TO BE ACHIEVED (COMPLETE RIGOROUS DESIGN, APPROXIMATE SOLUTION OR FIRST TRIAL APPROACH) AND RELATED TO THE TOOLS AND THE TIME AVAILABLE.
IN THE PLANT OPERATION, TO BE ABLE TO INTERACT WITH THE UNIT OPERATION AND EQUIPMENT THROUGH THE SET OF PROCESS PARAMETERS, MAKING IN A SHORT TIME A QUALITATIVE PREDICTION OF THE PLANT DYNAMIC ANSWER.

COMMUNICATION SKILLS
TO IMPROVE THE TECHNICAL LANGUAGE AND BE AWARE OF USING COMMUNICATION PROTOCOLS.

LEARNING SKILLS
TO KNOW HOW TO APPLY THE ACQUIRED KNOWLEDGE ALSO TO DIFFERENT ENVIRONMENTS WITH RESPECT TO THOSE PRESENTED DURING THE COURSE. TO UNDERSTAND DESIGN CALCULATION MODEL FOR UNIT OPERATIONS, WITH RESPECT TO THOSE INCLUDED AND ALSO TO THOSE NOT INCLUDED IN THE COURSE.

	Prerequisiti
	PREREQUISITES PREREQUISITES ARE MASTERING THE BASIC CHEMICAL ENGINEERING CONCEPTS, MAINLY THE THERMODYNAMICS OF IDEAL SYSTEMS. MOREOVER, A BASIC KNOWLEDGE OF THE MAIN EQUATION OF STATE (SRK, PR FOR EXAMPLE) AND THE BINARY INTERACTION COEFFICIENT TO ADAPT EOS TO REAL SYSTEMS IS REQUIRED. OTHER PREREQUISITES ARE THE KNOWLEDGE OF MATERIAL, ENERGY AND MOMENTUM BALANCES, THE KNOWLEDGE OF THE CHEMICAL ENGINEERING FLUID DYNAMICS AND TRANSPORT PHENOMENA, THE KNOWLEDGE OF A BASIC PROCESS CONTROL.

Prerequisiti

PREREQUISITES
PREREQUISITES ARE MASTERING THE BASIC CHEMICAL ENGINEERING CONCEPTS, MAINLY THE THERMODYNAMICS OF IDEAL SYSTEMS. MOREOVER, A BASIC KNOWLEDGE OF THE MAIN EQUATION OF STATE (SRK, PR FOR EXAMPLE) AND THE BINARY INTERACTION COEFFICIENT TO ADAPT EOS TO REAL SYSTEMS IS REQUIRED. OTHER PREREQUISITES ARE THE KNOWLEDGE OF MATERIAL, ENERGY AND MOMENTUM BALANCES, THE KNOWLEDGE OF THE CHEMICAL ENGINEERING FLUID DYNAMICS AND TRANSPORT PHENOMENA, THE KNOWLEDGE OF A BASIC PROCESS CONTROL.

	Contenuti
	COURSE CONTENTS AND TARGETS (LESS. HRS 2) THE HEAT EXCHANGE NETWORK FOR A PLANT THE HOT AND COLD STREAMS ACCORDING TO LINHOFF DEFINITION. HOT AND COLD COMPOSITE CURVES. THE OVERALL ENERGY PLANT BALANCE. THE COMPOSITE CURVES AND DTMIN. THE CORRELATION BETWEEN DTMIN AND THE HEAT TO BE SUPPLIED OR REMOVED. (LESS. HRS 5, EXERC. HRS 1) SOLUTION FOR MAXIMUN ENERGY RECOVERY (MER) THE GRAPHS. THE GOLDEN RULES OF LINHOFF. DESIGN A NETWORK OF HEAT EXCHANGERS. DEFINE THE MAXIMUM ENERGY RECOVERY (MER) IN A NETWORK OF HEAT EXCHANGERS. (LESS. HRS 4, EXERC. HRS 1) SOLUTIONS TO OPTIMIZE HEAT EXCHANGE NETWORK IN EXISTING PLANTS STARTING FROM MER, FIND THE ECONOMIC OPTIMAL SOLUTION (BEST BET SOLUTION). LESS. HRS 4 DETERMINATION OF THE HEAT EXCHANGER NETWORK FOR MAXIMUM ENERGY RECOVERY. EXERCISES ON MER AND BEST BET SOLUTION. (EXERC. HRS 6) LIQUID-LIQUID EXTRACTION PRINCIPLES THEORETICAL BASIS OF EXTRACTION. THE EXPERIMENTAL CONSTRUCTION OF A LIQUID-LIQUID TERNARY DIAGRAM. MIXING RULES. (LESS. HRS 2) DESIGN LIQUID-LIQUID EXTRACTION UNITS A STAGE SEPARATION. A MULTISTAGE SEPARATION. ANALYTICAL APPROACH AND GRAPHICAL APPROACH TO THE PROBLEM. GRAPHICAL SOLUTION FOR DESIGN MULTISTAGE. DESIGN FROM MINIMUM FLOW RATE SOLVENT AND OPTIMUM SOLVENT FLOW RATE. THE CHECK PROBLEM. (LESS. HRS 5) EXERCISE FOR MULTISTAGE LIQUID-LIQUID EXTRACTION SOLVE DESIGN PROBLEM. SOLVE CHEK PROBLEM. (EXERC. HRS 8) FROM BINARY TO MULTI-COMPONENTS SYSTEMS METHODOLOGICAL APPROACH TO MIXTURES FROM THE WELL KNOWN BINARY SYSTEMS TO THE MULTI-COMPONENTS. THE ANALYTICAL SOLUTIONS VS GRAPHICAL SOLUTIONS. DESIGN METHOD IDENTIFICATION. (LESS. HRS 2) MULTI-COMPONENTS MIXTURES DISTILLATION DISTILLATION PRINCIPLES REFRESH. EVALUATION OF BOILING POINT AND DEW POINT FOR A MULTI-COMPONENTS MIXTURE, IDEAL AND REAL. FLASH FOR A BINARY AND A MULTI-COMPONENTS MIXTURE. (LESS. HRS 2, EXERC. HRS 2) MULTI-COMPONENTS MIXTURES DISTILLATION: CALCULATION MODELS QUALITATIVE SETTING THE MATHEMATICAL MODEL FOR RIGOROUS DESIGN. PROBLEMS ARISING DUE TO NON-LINEAR EQUATIONS. ELEMENTS FOR ANALYTICAL METHOD DESIGN OF DISTILLATION TOWER. SIMPLIFIED SOLUTIONS AND THEIR USE IN CONNECTION WITH ANALYTICAL METHODS. (LESS. HRS 4) MULTI-COMPONENTS MIXTURES DISTILLATION: SIMPLIFIED METHODS FENSKE METHOD. UNDERWOOD EQUATIONS. GILLILAND CORRELATION. FUG METHOD TO ESTIMATE THE NUMBER OF EQUILIBRIUM STAGES IN A DISTILLATION COLUMN. THE OPPORTUNITY TO USE FUG METHOD TO INITIALIZE THE COMPUTER DESIGN OF DISTILLATION COLUMN. (LESS. HRS 6, EXERC. HRS 4) DISTILLATION SIEVE PLATE DESIGN AND COLUMN OPERATION QUALITATIVE DESCRIPTION OF FLUID DYNAMICS BEHAVIOUR OF DISTILLATION TOWERS. EMPIRICAL MODELS TO EVALUATE THE CRITICAL CONDITIONS FOR A SIEVE PLATE. DESIGN PARAMETERS OF A SIEVE PLATE AND THEIR IMPACT. OPERATIVE FLEXIBILITY. EFFICIENCY. EXERCISES – DESIGN OF SIEVE PLATE IN DISTILLATION UNIT. (LESS. HRS 9, EXERC. HRS 6) DESCRIPTION OF ADSORPTION/DESORPTION AND APPLICATIONS DESCRIPTION OF PHYSICAL ADSORPTION INTRODUCTION TO THE TYPICAL APPLICATIONS. THE ISOTHERMS OF EQUILIBRIUM. (LESS. HRS 2) DESIGN OF A ADSORPTION/DESORPTION UNIT PROPOSED EQUATIONS FOR THE DIFFERENT ISOTHERMS AND THE VARIOUS MECHANISMS. THE MATERIAL BALANCE. BREAKTHROUGH CURVES. DESORPTION. CYCLES OF ADSORPTION/DESORPTION. PRESSURE SWING ABSORPTION (PSA). TUTORIALS LESS. HRS 6, EXERC. HRS 3 DESIGN OF ADSORBTION AND DESORBPTION UNITS, EXERCISES (EXERC. HRS 6) TOTAL LESSON HOURS 57, EXERCISES HOURS 37

Contenuti

COURSE CONTENTS AND TARGETS (LESS. HRS 2)

THE HEAT EXCHANGE NETWORK FOR A PLANT
THE HOT AND COLD STREAMS ACCORDING TO LINHOFF DEFINITION. HOT AND COLD COMPOSITE CURVES. THE OVERALL ENERGY PLANT BALANCE. THE COMPOSITE CURVES AND DTMIN. THE CORRELATION BETWEEN DTMIN AND THE HEAT TO BE SUPPLIED OR REMOVED. (LESS. HRS 5, EXERC. HRS 1)

SOLUTION FOR MAXIMUN ENERGY RECOVERY (MER)
THE GRAPHS. THE GOLDEN RULES OF LINHOFF. DESIGN A NETWORK OF HEAT EXCHANGERS. DEFINE THE MAXIMUM ENERGY RECOVERY (MER) IN A NETWORK OF HEAT EXCHANGERS. (LESS. HRS 4, EXERC. HRS 1)

SOLUTIONS TO OPTIMIZE HEAT EXCHANGE NETWORK IN EXISTING PLANTS
STARTING FROM MER, FIND THE ECONOMIC OPTIMAL SOLUTION (BEST BET SOLUTION).
LESS. HRS 4

DETERMINATION OF THE HEAT EXCHANGER NETWORK FOR MAXIMUM ENERGY RECOVERY. EXERCISES ON MER AND BEST BET SOLUTION. (EXERC. HRS 6)

LIQUID-LIQUID EXTRACTION PRINCIPLES
THEORETICAL BASIS OF EXTRACTION. THE EXPERIMENTAL CONSTRUCTION OF A LIQUID-LIQUID TERNARY DIAGRAM. MIXING RULES. (LESS. HRS 2)

DESIGN LIQUID-LIQUID EXTRACTION UNITS
A STAGE SEPARATION. A MULTISTAGE SEPARATION. ANALYTICAL APPROACH AND GRAPHICAL APPROACH TO THE PROBLEM.
GRAPHICAL SOLUTION FOR DESIGN MULTISTAGE. DESIGN FROM MINIMUM FLOW RATE SOLVENT AND OPTIMUM SOLVENT FLOW RATE.
THE CHECK PROBLEM. (LESS. HRS 5)

EXERCISE FOR MULTISTAGE LIQUID-LIQUID EXTRACTION
SOLVE DESIGN PROBLEM. SOLVE CHEK PROBLEM. (EXERC. HRS 8)

FROM BINARY TO MULTI-COMPONENTS SYSTEMS
METHODOLOGICAL APPROACH TO MIXTURES FROM THE WELL KNOWN BINARY SYSTEMS TO THE MULTI-COMPONENTS. THE ANALYTICAL SOLUTIONS VS GRAPHICAL SOLUTIONS. DESIGN METHOD IDENTIFICATION. (LESS. HRS 2)

MULTI-COMPONENTS MIXTURES DISTILLATION
DISTILLATION PRINCIPLES REFRESH. EVALUATION OF BOILING POINT AND DEW POINT FOR A MULTI-COMPONENTS MIXTURE, IDEAL AND REAL. FLASH FOR A BINARY AND A MULTI-COMPONENTS MIXTURE. (LESS. HRS 2, EXERC. HRS 2)

MULTI-COMPONENTS MIXTURES DISTILLATION: CALCULATION MODELS
QUALITATIVE SETTING THE MATHEMATICAL MODEL FOR RIGOROUS DESIGN. PROBLEMS ARISING DUE TO NON-LINEAR EQUATIONS. ELEMENTS FOR ANALYTICAL METHOD DESIGN OF DISTILLATION TOWER. SIMPLIFIED SOLUTIONS AND THEIR USE IN CONNECTION WITH ANALYTICAL METHODS. (LESS. HRS 4)

MULTI-COMPONENTS MIXTURES DISTILLATION: SIMPLIFIED METHODS
FENSKE METHOD. UNDERWOOD EQUATIONS. GILLILAND CORRELATION. FUG METHOD TO ESTIMATE THE NUMBER OF EQUILIBRIUM STAGES IN A DISTILLATION COLUMN. THE OPPORTUNITY TO USE FUG METHOD TO INITIALIZE THE COMPUTER DESIGN OF DISTILLATION COLUMN. (LESS. HRS 6, EXERC. HRS 4)

DISTILLATION SIEVE PLATE DESIGN AND COLUMN OPERATION
QUALITATIVE DESCRIPTION OF FLUID DYNAMICS BEHAVIOUR OF DISTILLATION TOWERS. EMPIRICAL MODELS TO EVALUATE THE CRITICAL CONDITIONS FOR A SIEVE PLATE. DESIGN PARAMETERS OF A SIEVE PLATE AND THEIR IMPACT. OPERATIVE FLEXIBILITY. EFFICIENCY. EXERCISES – DESIGN OF SIEVE PLATE IN DISTILLATION UNIT. (LESS. HRS 9, EXERC. HRS 6)

DESCRIPTION OF ADSORPTION/DESORPTION AND APPLICATIONS
DESCRIPTION OF PHYSICAL ADSORPTION INTRODUCTION TO THE TYPICAL APPLICATIONS. THE ISOTHERMS OF EQUILIBRIUM. (LESS. HRS 2)

DESIGN OF A ADSORPTION/DESORPTION UNIT
PROPOSED EQUATIONS FOR THE DIFFERENT ISOTHERMS AND THE VARIOUS MECHANISMS. THE MATERIAL BALANCE. BREAKTHROUGH CURVES. DESORPTION. CYCLES OF ADSORPTION/DESORPTION. PRESSURE SWING ABSORPTION (PSA). TUTORIALS
LESS. HRS 6, EXERC. HRS 3

DESIGN OF ADSORBTION AND DESORBPTION UNITS, EXERCISES (EXERC. HRS 6)

TOTAL LESSON HOURS 57, EXERCISES HOURS 37

	Metodi Didattici
	TEACHING METHODS THE COURSE IS BASED ON LECTURES AND EXERCISES IN THE CLASSROOM. DESIGN PRACTICES ARE COMPLEMENTED WITH THE NECESSARY EXPLANATIONS OF METHODOLOGY OR THEORY.

	Verifica dell'apprendimento
	EVALUATION CRITERIA THE EVALUATION OF THE ACHIEVEMENT OF THE EXPECTED OUTCOMES WILL BE CARRIED OUT WITH A SCRIPT AND AN ORAL INTERVIEW. THE ASSESSMENT OF THE LEARNING OUTCOMES, CARRIED OUT IN THE FINAL EXAMINATION, WILL TAKE INTO ACCOUNT THE FOLLOWING EQUIVALENT CRITERIA: A) KNOWLEDGE AND ABILITY TO SOLVE MAJOR ISSUES THAT REQUIRE THE APPLICATION OF EXPRESSED CONCEPTS; B) KNOWLEDGE OF THE BASIC ASSUMPTIONS AND LOGIC OF THE DISCIPLINE; C) ABILITY TO EXTEND THE APPLICATION OF BASIC CONCEPTS TO SOLVE ISSUES IN NEW APPLICATIONS, D) PROPERTY OF LANGUAGE WITH PARTICULAR REFERENCE TO THE SPECIFIC TERMINOLOGY OF THE DISCIPLINE. EXAMINATION WILL BE EVALUATED SUFFICIENT WHEN THE STUDENT IS ABLE TO SET UP THE UNIT OPERATION DESIGN, TAKE INTO CONSIDERATION THE PHYSICAL AND CHEMICAL CONSTRAINS, SHOWS A SUFFICIENT TERMINOLOGY KNOWLEDGE. THE STUDENT THAT WILL FULL FIT OF ALL INDICATED CRITERIA IS EVALUATED AS EXCELLENT.

Verifica dell'apprendimento

EVALUATION CRITERIA
THE EVALUATION OF THE ACHIEVEMENT OF THE EXPECTED OUTCOMES WILL BE CARRIED OUT WITH A SCRIPT AND AN ORAL INTERVIEW.
THE ASSESSMENT OF THE LEARNING OUTCOMES, CARRIED OUT IN THE FINAL EXAMINATION, WILL TAKE INTO ACCOUNT THE FOLLOWING EQUIVALENT CRITERIA: A) KNOWLEDGE AND ABILITY TO SOLVE MAJOR ISSUES THAT REQUIRE THE APPLICATION OF EXPRESSED CONCEPTS; B) KNOWLEDGE OF THE BASIC ASSUMPTIONS AND LOGIC OF THE DISCIPLINE; C) ABILITY TO EXTEND THE APPLICATION OF BASIC CONCEPTS TO SOLVE ISSUES IN NEW APPLICATIONS, D) PROPERTY OF LANGUAGE WITH PARTICULAR REFERENCE TO THE SPECIFIC TERMINOLOGY OF THE DISCIPLINE.
EXAMINATION WILL BE EVALUATED SUFFICIENT WHEN THE STUDENT IS ABLE TO SET UP THE UNIT OPERATION DESIGN, TAKE INTO CONSIDERATION THE PHYSICAL AND CHEMICAL CONSTRAINS, SHOWS A SUFFICIENT TERMINOLOGY KNOWLEDGE. THE STUDENT THAT WILL FULL FIT OF ALL INDICATED CRITERIA IS EVALUATED AS EXCELLENT.

	Testi
	COURSE NOTES AND TEXTBOOKS FOR HEAT EXCHANGER NETWORK: INTRODUCTION TO PINCH TECHNOLOGY, LINNHOFF MARCH, WWW.LINNHOFFMARCH.COM IAN C KEMP, PINCH ANALYSIS AND PROCESS INTEGRATION, SECOND EDITION (2007), ELSEVIER PROFESSOR NOTES FOR EXTRACTION: TREYBAL, MASS TRANSFER OPERATION, MC GRAW HILL FOR MULTISTAGE DISTILLATION AND PLATE DESIGN: TREYBAL, MASS TRANSFER OPERATION, MC GRAW HILL J.H. PERRY ET AL., CHEMICAL ENGINEERS’ HANDBOOK , MC GRAW HILL FOR ADSORBTION/DESORPTION: D.M. RUTHVEN ET AL., PRESSURE SWING ADSORPTION; PRINCIPLES OF ABSORPTION AND DESORPTION PROCESSES

Testi

COURSE NOTES AND TEXTBOOKS

FOR HEAT EXCHANGER NETWORK:
INTRODUCTION TO PINCH TECHNOLOGY, LINNHOFF MARCH, WWW.LINNHOFFMARCH.COM
IAN C KEMP, PINCH ANALYSIS AND PROCESS INTEGRATION, SECOND EDITION (2007), ELSEVIER
PROFESSOR NOTES

FOR EXTRACTION:
TREYBAL, MASS TRANSFER OPERATION, MC GRAW HILL

FOR MULTISTAGE DISTILLATION AND PLATE DESIGN:
TREYBAL, MASS TRANSFER OPERATION, MC GRAW HILL
J.H. PERRY ET AL., CHEMICAL ENGINEERS’ HANDBOOK , MC GRAW HILL

FOR ADSORBTION/DESORPTION:
D.M. RUTHVEN ET AL., PRESSURE SWING ADSORPTION; PRINCIPLES OF ABSORPTION AND DESORPTION PROCESSES

	Altre Informazioni
	TEACHING LANGUAGE ITALIAN. ATTENDANCE MODE ATTENDANCE TO THE COURSE IS COMPULSORY

BETA VERSION Fonte dati ESSE3 [Ultima Sincronizzazione: 2016-09-30]

Libero SESTI OSSEO | IMPIANTI CHIMICI II