Introduction

This report presents the results of your heat integration simulations. Each run will generate an output json file stored in the “Rosmose/result” folder and a “frontend.html” file stored in “Rosmose” folder.

The json files will be numbered as 1, 2, 3,,,,,, for each run. However, the “frontend.html” file is overwritten each time hence to keep previous versions you must rename the file before running your simulation again.

once your models and units are ready you can run the rsomose simulation by pressing the “Preview” button in the top right corner or using the command line “quarto preview” in the terminal at the correct directory location.

A ready example is given to demonstrate extraction of data from an Aspen flowsheet, changing the process parameters in Aspen through your Rmd file and displaying your integration results.

all Aspen related files are found in this folder “model/AspenModel/.”

The “Aspen_methanol_process.rmd” file is coupled with the “methanol_process_PD1.bkp” file. The same example Aspen process flowsheet used in all tutorials throughout the course.

Methanol Process Aspen model

MODEL Methanol
Software	Location	Comment
ASPEN	model_process_PD1.bkp

MODEL INPUTS Methanol
Name	Path	Value	Units	Comments
Electrolyzer_size	/Data/Streams/POWER/Input/POWER	-30000	kW

MODEL OUTPUTS Methanol
Name	Path	Units
T_AIR_1	/Data/Streams/AIR1/Output/TEMP_OUT/MIXED	C
T_AIR_2	/Data/Streams/AIR2/Output/TEMP_OUT/MIXED	C
heater_1	/Data/Blocks/HEATER1/Output/QCALC	kW
T_FUEL_1	/Data/Streams/FUEL1/Output/TEMP_OUT/MIXED	C
T_FUEL_2	/Data/Streams/FUEL2/Output/TEMP_OUT/MIXED	C
heater_3	/Data/Blocks/HEATER3/Output/QCALC	kW
T_FUEL_3	/Data/Streams/FUEL3/Output/TEMP_OUT/MIXED	C
heater_4	/Data/Blocks/HEATER4/Output/QCALC	kW
T_FUEL_4	/Data/Streams/FUEL4/Output/TEMP_OUT/MIXED	C
heater_5	/Data/Blocks/HEATER5/Output/QCALC	kW
T_AIR_OUT	/Data/Streams/AIROUT/Output/TEMP_OUT/MIXED	C
T_AIR_4	/Data/Streams/AIR4/Output/TEMP_OUT/MIXED	C
cooler_1	/Data/Blocks/COOLER1/Output/QCALC	kW
T_FUEL_OUT	/Data/Streams/FUELOUT/Output/TEMP_OUT/MIXED	C
T_LTFUEL	/Data/Streams/LTFUEL/Output/TEMP_OUT/MIXED	C
cooler_2	/Data/Blocks/COOLER2/Output/QCALC	kW
MSC_cooler_1_Tin	/Data/Blocks/C1/Output/B_TEMP/1	C
MSC_cooler_1_Tout	/Data/Blocks/C1/Output/COOL_TEMP/1	C
MSC_cooler_1_Duty	/Data/Blocks/C1/Output/QCALC/1	kW
MSC_cooler_2_Tin	/Data/Blocks/C1/Output/B_TEMP/2	C
MSC_cooler_2_Tout	/Data/Blocks/C1/Output/COOL_TEMP/2	C
MSC_cooler_2_Duty	/Data/Blocks/C1/Output/QCALC/2	kW
MSC_power_tot	/Data/Blocks/C1/Output/WNET	kW
T_S1	/Data/Streams/S1/Output/TEMP_OUT/MIXED	C
T_S2	/Data/Streams/S2/Output/TEMP_OUT/MIXED	C
HX1_Duty	/Data/Blocks/HX1/Output/QCALC	kW
T_S4	/Data/Streams/S4/Output/TEMP_OUT/MIXED	C
T_S5	/Data/Streams/S5/Output/TEMP_OUT/MIXED	C
HX2_Duty	/Data/Blocks/HX2/Output/QCALC	kW
T_S7	/Data/Streams/S7/Output/TEMP_OUT/MIXED	C
T_S8	/Data/Streams/S8/Output/TEMP_OUT/MIXED	C
HX3_Duty	/Data/Blocks/HX3/Output/QCALC	kW
T_S3	/Data/Streams/S3/Output/TEMP_OUT/MIXED	C
R1	/Data/Blocks/R1/Output/QCALC	kW
cond_ti	/Data/Blocks/T1/Output/B_TEMP/2	C
cond_to	/Data/Blocks/T1/Output/B_TEMP/1	C
cond_Q	/Data/Blocks/T1/Output/COND_DUTY	kW
reb_ti	/Data/Blocks/T1/Output/B_TEMP/23	C
reb_to	/Data/Blocks/T1/Output/B_TEMP/24	C
reb_Q	/Data/Blocks/T1/Output/REB_DUTY	kW

name	value	unit
heater_1	9662.79484	kW
heater_5	3332.57776	kW
MSC_power_tot	2025.86471	kW

Problem Definition

Here we define the Energy Technology (ET) we want to solve.

This project will use the Methanol ET.

Biomass ET

This ET will use the following Layers

OSMOSE LAYERS Methanol
Layer	Display name	shortname	Unit	Color
ELEC	Electricity	elec	kW	yellow

The methanol ET contains the following units

OSMOSE UNIT Methanol
unit name	type
Methanol	Process

Methanol Unit

cost1	cost2	cinv1	cinv2	imp1	imp2	fmin	fmax
0	0	0	0	0	0	1	1

Methanol Unit Streams

Note to Meire you can add the electricity resources streams here directly as inputs to the process

After importing the powers of your compressors and pumps in your Aspen model. you can use this ET to sum up everything and report your net electricity consumption.

layer	direction	value
ELEC	in	32025.86471

Heat Streams

name	Tin	Tout	Hout	DT min/2	alpha
heater_1	25.0	700.0	9662.79484	2.5	1
heater_3	25.0	33.7975644	114.016569	2.5	1
heater_4	33.7975644	94.9629521	5166.04347	2.5	1
heater_5	94.9629521	700.0	3332.57776	2.5	1
cooler_1	700.021398	25.0	-10945.0531	2.5	1
cooler_2	700.021398	25.0	-3445.01521	2.5	1
MSC_cooler_1	207.329046	25.0	-672.664443	2.5	1
MSC_cooler_2	207.401247	25.0	-675.120921	2.5	1
HX_1	207.656056	250.0	159.335927	2.5	1
HX_2	250.011953	50.0	-3802.07109	2.5	1
HX_3	52.5239904	250.0	2233.05923	2.5	1
R_1	250.011953	250.011953	-2523.17368	2.5	1
reb	77.3036885	91.2973447	1879.57604	2.5	1
cond	63.9245458	58.7832494	-1802.74722	2.5	1

Solver configuration chunck for student VMs

OSMOSE OPTIONS mathProg
Property	Value	Comments
language	ampl
solver	gurobi
solver_options	{}

Here we solve the optimization problem.

Your objective function can either be MER (Minimum energy requirement) or TotalCost. To run in MER mode you need to specify only the ET you want to solve however to run in TotalCost mode, sufficient utilities must be supplied for the optimization problem to be solve-able.

When running in MER mode you can display the cc and gcc curves with the minimum energy requirements chunk however when solving for TotalCost you should report the CAPEX/OPEX chunk and display the icc and carnot plots to evaluate the utility integration.

Optimization Results

Energy Requirements

Minimum Heating Requirement: 98.7 kW

Minimum Cooling Requirement: 1417 kW

Plots

Grand Composite Curve

Composite Curves