Direct Recycle Networks
Gireesh S.S. Raman
Recycle
Benchmarking Overall targeting of mass
Recycle: Utilization of process stream in a process unit
Direct recycle: Recycling without the addition of
Sustainable Design Through Process
Integration: Fundamentals and
Applications to Industrial Pollution
Prevention, Resource Conservation, and
Profitability Enhancement
http:/www.sciencedirect.com/scien
Synthesis of MassExchange
Networks (MENs)
Gireesh Raman
Problem
Description
In this plant, two types of waste oil are handled:
gas oil and lube oil. The two streams are first deashed and demetallize
ENGINEERING AND
ENVIRONMENTAL ETHICS
Introduction
Ethics
Rules and ideas for human behavior. They tell us what we
ought to do.
Engineering Ethics
The systematic study of the rules and ideals for the
ENVSE 427: POLLUTION CONTROL IN THE PROCESS INDUSTRIES
Section 001 FALL 2017
114 Steidle Building
MWF 2:30 3:20 PM
Instructor:
Gireesh S.S. Raman, Ph.D.
Instructor, Environmental Systems Engineering
1
Modeling of Mass Exchange
Units
Gireesh S.S. Raman
MassExchange Operations
Massexchange operations are indispensable for pollution prevention
Within a massintegration framework, massexchange ope
$ PROCESS ECONOMICS $
Why do we study process economics?
While designing or retrofitting a process to make it more sustainable,
many of the technical and environmental decisions are strongly
impacted
Benchmarking
Overall Philosophy
FIRST, understand
the global picture of
the process and
develop system
insights
LATER, think
equipment, detailed
simulation, and
process details.
TARGETING
Identificati
ENVSE 427
Pollution Control in the Proc. Ind
Instructor:
Dr. Gireesh S.S. Raman
141A Hosler Building
Email: [email protected]
Introduction
Office hours
Class Attendance
Tests, Assignments & Grading (TAG)
A
Chapter 4: Simple Random Sampling
How is a simple random sample of size n selected from a population
of size N?
N = total number of population items needs to be known.
Units are labeled from 1 throu
PROBABILITY
SAMPLING:
CONCEPTS AND
TERMINOLOGY
Selecting individual observations to most
efficiently yield knowledge without bias
What is sampling?
n
If all members of a population were identical, the
Chapter 6. Two Stage Sampling
N primary units
Primary unit # i has M i secondary units (known after sampling)
N
Total number of secondary units = M i
i =1
Sampling Procedure:
1. Select a SRS of n main
ENVSE 406
Sampling Hot Spots
Spring 2017
Prof. R. Vander Wal
Example 10.1
Suppose a square grid is used and we want to take no more than a 100% =
10% chance of not hitting a circular
Chapter 7
Compositing
Sampling Distribution Illustration for Composite Samples.
Three contiguous sampling grids for soil
sampling. Each grid can provide enough
material for two samples.
Method 1: Samp
ENVSE 406 Sampling Methods: Descriptions
Simple random sampling
In a simple random sample ('SRS') of a given size, all such subsets of the frame are given an
equal probability
Chapter 8. Systematic Sampling.
Sampling in 1dimension (line)
N = total # of units are available for sampling.
n = desired sample size.
N/n = k = sampling interval. N/n must be integer.
Procedure:
1.
Sampling
A Brief Introduction
ENVSE 406
Randy L. Vander Wal
Professor
Dept. of Energy & Mineral Engineering, Materials Science and Engineering
and the EMS Energy Institute
The Pennsylvania State Unive
Environmental Sampling
ENVSE 406
Environmental Sampling
Statistics:
Introduction to Sampling Methods
Outline
Overview
How to sample
What is a sample?
Types of sampling
Sample unit
How many to sa
ENVSE 406
Probability
1
Random Experiment
a random experiment is an action or process that leads to
one of several possible outcomes. For example:
Experiment
Outcomes
Flip a coin
Heads, Tails
Exam
TWOSTAGE CLUSTER SAMPLING
How to draw a twostage cluster sample
The first problem in selecting a twostage cluster sample is the choice of appropriate clusters. Two
conditions are desirable: (1) geo
Surface and Interfacial Phenomena in Environmental Systems
ENVSE 404W

Fall 2015
Abd Rasyid Mad
Marjuki
Reverse Osmosis
ENVSE 404W
Objective
Study of the desalination properties of the given
reverse osmosis membrane system and its
selectivity
(1) Osmotic pressure of feed solution
ENVSE 406
Population Proportions
Name:
Confidence Intervals and Hypothesis Testing: Set #10
1. Your company produces a proprietary unit for natural gas cleanup specifically
sweetening. Testing result
ENVSE 406 2 Homework Set #11 Name:
Instructions: Please write clearly and show all your work.
1. Calculate
tosses.
2
for a coin toss experiment in which 40 heads were observed in 100
2. A single die w
ENVSE 406 Homework 8 Hypothesis Testing III
Instructions: Show your work! (and write out answers, on paper, clearly and
legibly)
Analyze the following data:
Set A
110
118
Set B
113
120
by,
a) Comparin
Name:
ENVSE 406 Homework Hypothesis Testing I
Problem Set 7
Instructions: Show your work! (and write out answers, on paper, clearly and
legibly)
1. If the average permissible salt concentration is = 1
ENVSE Problem Set 9 CI and Hyp. Testing on a ' Name: p862 n (f y
1. The number of minutes 7 randomly chosen customers waited on hold for phone
support: cfw_5, 14, 4, 6 10 6, 3 f
/ The company claims t
S'ei
ENVSE 406X2 Homework #0 Name: ax), V W
I I
Instructions: Please write clearly and Show all your work.
1. Calculate X2 for a coin toss experiment in which 40_lle_ads were observed in 100
tosses. (