Managing Research and Knowledgeintheat.dcs.uni-pannon.hu/wp-content/uploads/2013/02/UNIPAN.pdfJiří Jaromír Klemeš, Petar Sabev Varbanov, Ferenc Friedler Centre for Process Integration

CPI2

EC FP7 project “Intensified Heat Transfer Technologies for Enhanced Heat Recovery” – INTHEAT

Grant Agreement No.262205

Project Meeting May 16, 2012

Jiří Jaromír Klemeš, Petar Sabev Varbanov, Ferenc Friedler

Centre for Process Integration and Intensification – CPI2, Research Institute of Chemical and Process Engineering, Faculty of Information

Technology, University of Pannonia, Veszprém, Hungary

CPI2

Overview of the tasks involving UNIPAN for the previous period

2 INTHEAT GA 262205, Meeting, May, 2012

CPI2

UNIPAN Tasks WP 4 “Design, retrofit and control of intensified heat

recovery networks”

Task 4.1: “Development of a streamlined and computationally efficient methodology for design of HENs“

Deliverable D4.1 due in month 9 (August 2011) (COMPLETED, being used and implemented by SODRU and OIKOS) “Report on design methodology for new heat exchanger networks using P-graph and the ABB (Accelerated Branch-and-Bound) optimisation algorithm”

WP 6 “Technology transfer”

Task 6.2: “Dissemination events” : “Intensified heat exchangers – Novel developments (Information day for major stakeholders) (organisers: UNIPAN, PIL, UNIMAN)”

Deliverable D6.3 (COMPLETED – 2 events)


CPI2

Deliverable D6.3 (COMPLETED 2 events)

4

PRES’11 conference, held in Florence – Italy, 8-11 May 2011

Special Session at SDEWES 2011, held from September 25 to 29, 2011, in Dubrovnik – Croatia

INTHEAT GA 262205, Meeting, May, 2012

CPI2

PRES’11, Florence – Italy, 8-11 May 2011

Presented - conference topic “Heat Exchangers as Equipment and Integrated Items”:

“THE HEAT AND MOMENTUM TRANSFERS RELATION IN CHANNELS OF PLATE HEAT EXCHANGERS”, developed by Kapustenko P., Arsenyeva O., Dolgonosova O.

“THE GENERALIZED CORRELATION FOR FRICTION FACTOR IN CRISS-CROSS FLOW CHANNELS OF PLATE HEAT EXCHANGERS”, developed by Arsenyeva O., Tovazhnyansky L., Kapustenko P., Khavin G.

“IMPROVING ENERGY RECOVERY IN HEAT EXCHANGER NETWORK WITH INTENSIFIED TUBE-SIDE HEAT TRANSFER”, Pan M., Bulatov I., Smith R., Kim J.K.


CPI2

Special Session at SDEWES 2011” INTHEAT Partners

SDEWES11-0147 Structured Multimedia Education in Energy and Water Use Optimisation (Jiri Klemes*, Zdravko Kravanja, Petar Varbanov, Hon Loong Lam)

SDEWES11-0148 The Dynamic Total Site Heat Cascade for Integration and Management of Renewables with Variable Supply and Demand (Petar Varbanov*, Andreja Nemet, Jiri Klemes)

SDEWES11-0031 Sustaining High Energy Efficiency in Existing Processes with Advanced Process Integration Technology (Nan Zhang*, Jiri Klemes)


CPI2

Special Session at SDEWES 2011: Other

SDEWES11-0895 Advanced Optimisation and Control of Energy Systems (Michael Georgiadis*, Efstratios Pistikopoulos)

SDEWES11-0006 The Question of the Use of Non-traditional Energy Sources in Light of the New Energy Strategy for EUROPE 2011-2020 (Karoly Nagy*, Krisztina Körmendi)

SDEWES11-0908 Integration of Industrial Waste Oil, Biomass and Municipal Wastes into Malaysian Urban Area Energy Supply Chain (Hon Loong Lam*, Mustafar Kamal, Dominic C. Y Foo, Denny K.s Ng, Mimi Hassim)

SDEWES11-0010 IDENTIFICATION OF THE INFLUENCE OF FOULING ON THE HEAT RECOVERY IN A HEAT EXCHANGER NETWORK (Krzysztof Urbaniec*, Mariusz Markowski, Marian Trafczynski)

SDEWES11-0041 LCA-Based Mathematical Programming Approach to Sustainable System Synthesis (Zdravko Kravanja*, Lidija Čuček)

SDEWES11-0039 KINETIC ANALYSIS AND SAFETY IMPLICATIONS IN BIODIESEL TRANSESTERIFICATION PRODUCTION PROCESS (Bruno Fabiano*, Andrea P. Reverberi, Adriana Del Borghi, Vincenzo Dovì)

SDEWES11-0651 WATER-ENERGY CAPITAL: SUSTAINABILITY IMPLICATIONS THROUGH THE IMPLEMENTATION OF WATER ALLOCATION IN TIAM-FR ENERGY MODEL. (Aurelie Dubreuil*, Edi Assoumou, Sandrine Selosse, Stephanie Bouckaert, Nadia Maizi)

SDEWES11-0272 Ecological Footprint as a tool for Integrated Coastal Zone Management (Sofia Kessopoulou, Dora Papatheochari*)

SDEWES11-0487 Operating Conditions of a CFB Biomass Gasifier to Produce Low-tar Syngas (Shiva Mahmoudi*, Jonathan Seville, Jan Baeyens)


CPI2

Deliverable D4.1 Development of a streamlined and

computationally efficient methodology for design of HENs


CPI2

Introduction


CPI2

Main Approaches

Analyse a base case scenario

Evaluate the expected process variations

Prepare a representative base case for HEN synthesis

Synthesise a heat exchanger network

Classic approach to process synthesis

The main approaches use different views of the system

Insight-based : exploit thermodynamic insights such as the heat recovery pinch and its associated targets

Superstructure-based: a reducible network including all possible options and then optimise and reduce it

Hybrid: combine the thermodynamic insights and the use of superstructures


CPI2

Classical HEN Synthesis

Pinch design method

Specify the heat recovery problem

Pinch Analysis

Obtain MER topology

Evolve the network

• Linnhoff and Hindmarsh (1983)

• Follow-ups and elaborations

Capital and total cost targets (Linnhoff and Ahmad,

1990)

Block Decomposition method (Zhu 1997)

Total Sites (Klemeš et al., 1997)

Total Sites integrating renewables (Perry et al., 2008)

• Mathematical Programming

• E.g. Yee and Grossmann (1990)

Yee, T. F., Grossmann I. E., 1990, Simultaneous optimization models for heat integration—II. Heat exchanger network synthesis, Computers & Chemical Engineering 14(10):1165-1184.


CPI2

Comparison of Approaches

Pinch design method

A suite of techniques for HEN synthesis and process changes

Based on the pinch division and pinch design rules

Generates MER networks and evolves them

The networks may be inflexible

Superstructure-based approaches

Build, optimise and reduce a superstructure

MILP and MINLP superstructure formulations are possible

Can treat multiple heat exchanger types non-isothermal mixing

Hybrid approaches

Attempt to combine the insights of the Pinch Analysis with the strengths of the superstructure construction and reduction


CPI2

Need for a rigorous synthesis tool

Complexity caused by combining continuous and combinatorial aspects

Combinatorial complexity increases exponentially with the number of streams and periods

MP – moderate success in reducing superstructures

Very few applications of constructing the superstructures using MP are known

Solvers examine topologically clearly infeasible combinations of integer variable values

Rather difficult to build the necessary problem superstructures without rigorous combinatorial tools


CPI2

P-graph for HEN Synthesis


CPI2

HE representation with P-graph

Grid-diagram representation P-graph

P-graph is a bi-partite graph. It features 2 vertex types: materials (streams) and operating units


CPI2

P-graph Example

INTHEAT GA 262205, Meeting, May, 2012 16

BM

BMG

RSGBR

25.9 MW

2.1 t/h

SGF

SGPR

8·10-3 t/h

BG

Q40

FCCC_60(MCFC+ST)

W 10.0 MW

BGD

FRT

2.0 t/h

Q5

2.2 MW

LD_40_5

BLR_BG

15.0 MW

CO2

0.6 t/h0.7 t/h

16.8MW

16.7 MW 0.17

t/h

26.0 MW

12.8 MW

15.1MW

Streams / Materials BG: Biogas BM: Biomass BR: Biomass residues FRT: Fertiliser SG: Syngas PR: Particulate matter Q40: Steam at 40 bar Q5: Steam at 5 bar RSG: Raw syngas W: Electrical power Operations BGD: Biogas digester BMG: Biomass gasifier SGF: Syngas filter FCCC: Fuel Cell Combined Cycle BLR_BG: Biogas boiler LD_40_5: Letdown station

CPI2

P-graph Combinatorial instruments

Axioms ensuring combinatorially feasible structures

Maximal Structure Generation (MSG) algorithm – builds the union of all combinatorially feasible network structures

Solution Structures Generation (SSG) – generates all combinatorially feasible network structures from the maximal one

ABB: Accelerated Branch-and-Bound algorithm. Combines the “branch-and-bound” search strategy with the SSG logic


CPI2

P-graph foundation: axioms

Ensuring a combinatorially feasible structure:

(S1) Every product is included in the structure

(S2) A raw material can’t be an output of any operating unit in the structure

(S3) Every operating unit is defined in the synthesis problem

(S4) At least one path from any operating unit leading to a product

(S5) Every stream belonging to the structure must consumed or produced by at least one operating unit from the structure


CPI2

P-graph algorithms: Maximal Structure Generation (MSG)

Problem Formulation

set of raw materials

set of products

set of candidate operating units

Reduction part

Composition part

Problem Formulation

Consistent sets O & M

Maximal Structure

Maximal Structure

Union of all combinatorially feasible structures

Rigorous super-structure

Legend:

O: set of operating units

M: set of materials


CPI2

P-graph algorithms: Solution Structures Generation (SSG)

Add units producing

New decision mapping for every decision branch

Invoke SSG (Recursion)

Start from products

All Solution Structures

Solution Structure

A combinatorially feasible network of materials and operating units

Decision Mapping

A mathematical representation of a process network – either incomplete, or a solution structure


CPI2

ABB Algorithm – Even Faster Search

• Employs the “branch-and-bound” strategy • Combines this with the P-graph logic (SSG algorithm) • Ensures combinatorial feasibility

• Non-optimal decisions are eliminated • It is possible to select a set of solution structures which are

optimal or near-optimal

ABB: Accelerated Branch-and-Bound Further acceleration of the synthesis procedure


1

1.1 1.2 1.3

1.1.1

1.1.2 1.1.3 1.3.1 1.3.2 1.3.3

1.1.1.1 1.1.1.2

CPI2

PNS Paradigms Example from Reactor Networks

Conventional MP (MILP, MINLP)

P-graph (MSG, SSG, ABB)

Network Model Formulation

Mostly MANUAL ALGORITHMIC

Automation allowing user interaction

Complexity

(Solution Speed)

Example: separation sequence synthesis

34 Billion

possible combinations

3,465 combinatorially feasible structures

106 ratio (6 orders of magnitude)

Interpretation of results

Flowsheets

(only)

Flowsheets and P-graphs

Easier to spot structural patterns


CPI2

Extensions developed: hP-graph


CPI2

Flowsheet example

24

An optimal process is to be synthesised to produce material M1 at a rate of 100 t/y by taking into account both the cost of the process and that of its heat recovery network. The diagram shows the maximal structure (Friedler et al., 1993) of the process network alone.


CPI2

Operating Parameter Specifications

25

No. Latent heat temperature (°C)

Latent heat source (MJ/h)

Input streams (t/h, °C) Output streams (t/h, °C)

1 - - M3 (3, 70) M1 (2,-); M6 (1,90)

2 - - M4 (1.5, -) M1 (1,-); M2 (0.5,-)

3 80 20 M5 (1,-); M6 (1, 80) M3 (2, 60)

4 - - M6 (0.3, -); M7 (1.7, -) M3 (1, 90); M4 (1, -)

5 - - M7 (2,-); M8 (1,-); M4 (3, -)

6 - - M9 (1,-) M6 (1, 55)

7 - - M10 (1.2, -); M10 (0.8, -) M8 (2, -)

Name Price (US$/t) Maximum flow (t/y)

M5 140 Unlimited

M7 200 Unlimited

M9 250 Unlimited

M10 50 Unlimited

M11 70 Unlimited

Parameters pertaining to the operating units

The raw materials


CPI2

Capital Cost Parameters

26

ObxOaPayout

xIbIaUCost

Capital cost calculation

Operating units

Investment cost (US$) Operating Cost (US$/y)

Ia Ib Oa Ob

1 7,500 1,200 500 160

2 3,800 1,000 140 250

3 8,000 1,000 400 170

4 15,000 1,500 500 100

5 10,000 1,500 900 300

6 3,000 750 200 100

7 5,000 800 700 160


CPI2

hP-graph: definition

hP-graph is a special sub-class of P-graph containing both operating and heat-exchanging units

Heating: solid lower half

Cooling: solid upper half


CPI2

Solution with ABB Algotithm

28

1

1.1 1.2 1.3

1.1.1

1.1.2 1.1.3 1.3.1 1.3.2 1.3.3

1.1.1.1 1.1.1.2

At each calculation node a synthesis sub-problem is solved


CPI2

Process streams at Node 1

29

Stream Type Material TS (°C) TT (°C)

S1 Hot M3 90 70

S2 Hot M6 90 80

S3 Cold M3 60 70

S4 Cold M6 55 80

Also there is a source of latent heat

Stream Type Operating unit T (°C)

LH1 Hot latent 3 80

Specifications of the process streams


CPI2

Identification of component sub-streams and the superstructure

30

Hot utility

Cold utility

T (°C)

100

90

80

70

65

20I1

I2

I3

I4

I5

FSH2

(M6)

S1

(M3)

S2

LH1

(M3)

S3

(M6)

S4

SSH1 SSC5

SSC9 SSC7

SSC6


CPI2

Optimal heat exchange

31

The optimal HEN has Total Cost = 51,534 US$/y


CPI2

Industrial Example

32

H2, CH4

Toluene

Toluene recycle

Gas recycle Purge H2, CH4

Benzene

Diphenyl

Toluene + H2 → Benzene + CH4

2 Benzene ↔ Diphenyl + H2

ReactorSeparation

System

Toluene-hydrodealkylation of the (HDA) process


CPI2

HDA Process Superstructure

33

Notation:

Heating

Cooling

H2 Feed

Toluene Feed Reactor

Compressor

HM

Flash

HMBTD

HMSeparator

BTD

BTD

Separator

TD

B

BTD

Separator

B

B

HM

Separator

HMBTD

B

TD

TD

T

D

Separator

Pump

DD

B

T


CPI2

Optimal Flowsheet

34

Notation:

Heating

Cooling

H2 Feed

Toluene Feed Reactor

Compressor

HM

Flash

HMBTD

HMSeparator

BTD

BTD

Separator

TD

B

TD

T

D

Separator

Pump

D

B

T


CPI2

Conclusions for D4.1

Most currently available methods for HEN design are based on mathematical programming

Few are using evolutional and random-search algorithms

The superstructure-based methods are not practical for generation of the superstructures

The P-graph framework offers algorithmic construction of the superstructures and combinatorially efficient reduction of the search space presented to the optimisation solvers

A case study has shown promising results


CPI2

Involvement in Other Tasks

Completed

Task 1.2 “CFD research on heat transfer”, Deliverable D1.2

Task 2.2 “Heat transfer enhancement for the shell-side of heat”, Deliverable D2.2

Ongoing

Task 4.2 “A systematic retrofit procedure will be developed to account for heat exchanger networks prone to fouling deposition.”, Deliverable D4.2

36

UNIPAN has also provided assistance and expertise in the following tasks, as requested by the WP leaders


CPI2

Work for the next period until month 24


CPI2

Work for the current period: WP 4

Task 4.2 “Design, retrofit and control of intensified heat recovery networks”

Deliverable D4.2 “Report on retrofit procedure for heat exchanger networks prone to fouling deposition” , Due in month 14 (January 2012). The report has been delivered by UNIMAN with help from UNIPAN, SORDU and OIKOS.

Task 4.3 “Development of a software tool”

Deliverable D4.3 (Due in Month 24 – November 2012) “Software tool for screening and analysis design and retrofit HEN options taking into account the intensified heat exchanger parameters and the software User Guide”. The software is being developed by UNIMAN. UNIPAN is providing the necessary support for implementing the expertise on combinatorial graphs.


CPI2


Task 5.2 “Demonstration and application of intensified heat exchangers to oil/petrochemical industries”

Deliverable D5.2 “Report on case studies with achieved benefits (Oil/petrochemical sector)” , Due in month 24 (November 2012). UNIPAN is assisting UNIMAN, SODRU, EMBAFFLE, CALGAVIN

Task 5.3 “Demonstration and application of intensified heat exchangers to food industries”

Deliverable D5.3 “Report on case studies with achieved benefits (Food sector)”. Due in month 24 (November 2012). UNIPAN is assisting UNIMAN, OIKOS, EMBAFFLE, SODRU, CALGAVIN.


CPI2


Task 6.4 / Deliverable D6.1 “Training Workshop” has been successfully organised in collaboration with CAPE Forum 2012

Invited speakers

Monday, 26/03/2012, 14:00 - 14:50, Petr Stehlik CAPE2012-P-007: CAPE for Waste to Energy

Tuesday, 27/03/2012, 09:00 - 09:50, David J. Kukulka CAPE2012-P-001: Compound Heat Transfer Enhancement Methods To Increase Heat Exchanger Efficiency

Tuesday, 27/03/2012, 10:00 - 10:50, Quiwang Wang CAPE2012-P-003: Heat transfer and stress analysis for a high temperature heat exchanger with inner and outer fins

Wednesday, 28/03/2012, 10:00 - 10:50, Petro Kapustenko CAPE2012-P-008: Application of process integration and enhanced heat transfer technologies to improve energy efficiency in buildings


http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Sthelik.pdf






http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Kulkuka.pdf








http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Wang.pdf








http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Kapustenko.pdf








CPI2


(Continued)

Task 6.4 / Deliverable D6.1 “Training Workshop” has been successfully organised in collaboration with CAPE Forum 2012

Monday, 26/03/2012 INTHEAT D6.1: Training Workshop

15:00 - 15:20, Igor Bulatov INTHEAT-D6.1-01: M. Pan, R. Smith, I. Bulatov. Improving heat recovery of heat exchanger network with intensified heat transfer

15:20 - 15:40, Andreja Nemet INTHEAT-D6.1-02: A. Nemet, P. S. Varbanov, P. Kapustenko , A. Durgutovic , J. J. Klemes. Capital Cost Targeting of Total Site Heat Recovery

15:40 - 16:00, Philip Voll CAPE2012-001: P. Voll, C. Klaffke, M. Hennen and A. Bardow. Automated Superstructure Generation and Optimization of Distributed Energy Supply Systems


http://www.cape-wp.eu/CAPEWP/INTHEAT/UNIMAN.pdf








http://www.cape-wp.eu/CAPEWP/INTHEAT/UNIPAN_Nemet.pdf









http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Voll.pdf







CPI2

Work for the current period: WP 6 (Continued)

Monday, 26/03/2012 INTHEAT D6.1: Training Workshop

16:20 - 16:40, Olga Arsenyeva INTHEAT-D6.1-03: O. Demirskyy, O. Arsenyeva, L. Tovazhnyanskyy, P. Kapustenko, G.Khavin. Estimation of Plate-and-Frame Heat Exchanger surface area targets for specific process conditions

16:40 - 17:00, Valeriy Ved CAPE2012-005: E.V. Krasnokutskii, L.L. Tovazhnyanskii, V. E. Ved’, V.A. Koshchii. Modeling of Conversion Processes of Harmful Exhaust Gases of Internal Combustion Engines

17:00 - 17:20, Olena Valeriyovna Ved CAPE2012-006: O.V. Ved, L.L. Tovazhnyanskii, Y.A. Tolchinskii. Model of Co Pre-oxidation Concentrated on Surface of Catalyst and Dimensional Dispersion on Macro Level of Catalyst Capacity

17:20 - 17:40, Mengyan Yang and Barry Crittenden INTHEAT-D6.1-04: M. Yang, B. Crittenden, M. Gough, P. Droegemueller, T. Higley. Performance Parameters of Tubes Fitted with Inserts


http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Demirskyy_NTU-KhPI.pdf













http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Krasnokutskii.pdf







http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Ved.pdf









http://www.cape-wp.eu/CAPEWP/CAPEForum/Abstract_Yang.pdf








CPI2

Task 6.4 / Deliverable D6.1 “Training Workshop”


CPI2


Task 6.2 “Dissemination events”

Deliverable D6.3 “Four dissemination events” , Two more events at recognised conferences are being organised by UNIPAN with assistance form all other partners

PRES 2012 in Prague – Czech Republic (25-29 August 2012)

SDEWES 2012 in Ohrid – Macedonia (session will be on 4-5 July 2012)

The PRES 2012 Special Issue of Applied Thermal Engineering will be used to consolidate the outreach messages with full size articles


CPI2

PRES 2012: The Plenary from INTHEAT


CPI2

PRES 2012: Dedicated INTHEAT session


CPI2


0121. Tovazhnyansky L., Klemes J.J., Boldyryev S.*, Kapustenko P., Garev A., Perevertaylenko O., Khavin G., Arsenyeva O., Ammonia refrigeration cycle integration in buildings heating system.

0151. Kapustenko P.*, Tovazhnyansky L., Arsenyeva O, Yuzbashyan A., Mitigation of fouling in plate heat exchangers for process industries.

0188. Pan M.*, Bulatov I., Smith R., Retrofit procedure for intensifying heat transfer in heat exchanger networks prone to fouling deposition.

0249. Nemet A.*, Varbanov P.S., Kapustenko P., Durgutovic A., Klemes J.J., Capital cost targeting of total site heat recovery.


CPI2


0632. Nemet A.*, Hegyhati M., Klemes J.J., Friedler F., Increasing solar energy utilisation by rescheduling operations with heat and electricity demand.

0684. Yang M., Wood Z., Rickard B., Crittenden B.*, Gough M., Droegemueller P., Higley T., Effect of turbulence enhancement on crude oil fouling in a batch stirred cell.

798. Law R.*, Harvey A., Reay D. A knowledge-based system for the selection of low-grade waste-heat recovery technology.

1232. Steube J.*, Lautenschleger A., Piper M., Boe D., Weimer T., Kenig E., CFD-based optimisation of spiral-wound heat exchanger geometry.


CPI2

SDEWES 2012 Ohrid – Republic of Macedonia (FYROM)


July 1-6, 2012

July 1-6, 2012

CPI2

SDEWES 2012 INTHEAT Special Session


• 9 presentations will be delivered within the Special Session by INTHEAT partners

• Discussions with leading experts will be also held

CPI2

SDEWES 2012 INTHEAT Presentations

SDEWES12-0033. A novel optimization approach of improving energy recovery in retrofitting heat exchanger network with exchanger details Ming Pan*, Robin Smith, Igor Bulatov

SDEWES12-0055. Calcium Sulphate Fouling in a Batch Stirred Cell Mengyan Yang*, Andy Young, Jack Jones, Rob Hanson, Barry Crittenden

SDEWES12-0085. Oil Palm Biomass Corridor to Promote Malaysia Green Economy Hon Loong Lam, Wendy P. Q. Ng, Rex T. L. Ng, Denny K.s Ng, Mustafar Kamal, Michael F. Y Ng, Joseph H. E. Lim, Petar Varbanov*

SDEWES12-0126. Ways to optimise the energy balance of municipal wastewater systems Otto Nowak*, Peter Enderle

SDEWES12-0153. Water Efficiency Indicators in Croatian Manufacturing: Some Lessons and Policy implications Željka Kordej-De Villa*, Ivana Rašić Bakarić


CPI2


SDEWES12-0247. Improved Targeting of Industrial Total Sites Accounting for Different Heat Transfer Properties Petar Varbanov*, Jiří Jaromír Klemeš, Simon Perry

SDEWES12-0248. Principles for Sustainability in Modern State-building for Efficient Energy and Water Supply Karoly Nagy*, Jiří Jaromír Klemeš, Petar Varbanov

SDEWES12-0278. The influence of plate corrugations geometry on Plate Heat Exchanger performance in specified process conditions Olga Arsenyeva, Petro Kapustenko*, Leonid Tovazhnyanskyy, Svetlana Buhkalo, Gennadiy Khavin

SDEWES12-0298. A Holistic Process Integration Approach for Regional Carbon Planning from Stationery Point Sources Zainuddin Manan*, Sharifah Wan Alwi, Muhammad Munir Sadiq

SDEWES12-0328. Increasing economic potential for process heat recovery by optimising HEN designs over a full lifetime Andreja Nemet, Jiří Jaromír Klemeš, Zdravko Kravanja*


CPI2


SDEWES12-0354. Energy saving processes of biofuel production from fermentation broth Endre Nagy*

SDEWES12-0360. Full Scale Plume Rise Modeling in Calm and Low Wind Velocity Conditions Nikolay Kozarev*, Nina Ilieva

SDEWES12-0362. Potential Maximum C Stores in St. Petersburg Region Anatoly Gryazkin*, Nataliia Beliaeva, Anna Fetisova, Irena Kasi, Taisiia Ishchuk

SDEWES12-0364. The Logging Waste as Inexhaustible Resource for Alternative Energy Nataliia Beliaeva, Anatoly Gryazkin*, Sergey Vavilov, Nikolay Kovalev, Anna Fetisova

SDEWES12-0380. Rescheduling operations demands to increase solar energy utilisation Andreja Nemet*, Máté Hegyháti, Jiří Jaromír Klemeš, Ferenc Friedler


CPI2


SDEWES12-0460. Technical innovation for heat transfer intensification for heat recovery Ming Pan*, Robin Smith, Igor Bulatov, Martin Gough, Tom Higley, Peter Droegemueller

SDEWES12-0462. Estimating benefits of heat transfer enhancement in HEN design Olga Arsenyeva, Petro Kapustenko*, Robin Smith, Igor Bulatov

SDEWES12-0490. Process integration in biodiesel production Valentin Plesu*, Gheorghe Bumbac

SDEWES12-0491. Carbon Dioxide Capture by Microalgae in a Photobioreactor : Sustainable Process Development Valentin Plesu, Petrica Iancu*

SDEWES12-0555. The Potential of Total Site Process Integration and Optimisation for Energy Saving and Pollution Reduction Andreja Nemet*, Lidija Čuček, Petar Varbanov, Jiří Jaromír Klemeš, Zdravko Kravanja

SDEWES12-0175. Numerical investigation of transport phenomena in spiral-wound heat exchangers Julia Steube, Daniel Boe, Anna Lautenschleger, Mark Piper, Thomas Weimer, Eugeny Kenig* - not paid - highlight for INHEAT

SDEWES12-0307. Optimal Renewable Energy Systems for Regions Michael Narodoslawsky*, Nora Niemetz, Karl-Heinz Kettl, Michael Eder


CPI2

SDEWES 2012 Dates


CPI2


To be agreed:

Task 6.1 / Deliverable D6.2 “Report on marketing activities” . This is pending the outcomes from the software development (WP 4, Task 4.3)

Deliverable 6.4 “Conference and journal publications” is in execution now. So far 6 conference and 10 journal publications have been delivered. More publications are expected.

Task 6.4 / Deliverable D6.5 “Training materials” will be implemented after the software development (WP 4, Task 4.3)


CPI2

Deliverable 6.4: Joint Publication

Collaboration of UNIPAN, OIKOS and SODRU

Accepted paper at CISAP 5 (Milan 3-6 June, 2012):


CPI2 58

Thank you!


Documents

Managing Research and Knowledgeintheat.dcs.uni-pannon.hu/wp-content/uploads/2013/02/UNIPAN.pdfJiří Jaromír Klemeš, Petar Sabev Varbanov, Ferenc Friedler Centre for Process Integration