Exploring inter-process heat integration opportunities for increased energy efficiency in industrial process clusters

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1 Exploring inter-process heat integration opportunities for increased energy efficiency in industrial process clusters Simon Harvey Professor in Industrial Energy Systems Heat and Power Technology, Chalmers Energy Combine Research Platform Manager

2 Introduction Rising energy prices Threat of global warming Policy instruments for CO 2 - emissions reduction Strong incentives to improve energy efficiency Energy intensive industrial process clusters can significantly increase energy efficiency by inter-process heat exchanging Total Site Analysis (TSA) is a useful tool to investigate opportunities for inter-process heat recovery in industrial process clusters This presentation: Tools for Single process and total site analyses Highlights from a case study (Chemical cluster, Stenungsund)

3 The potential of inter-process heat integration: Opportunities for improving energy efficiency in Stenungsund Sweden s largest chemical cluster Ethylene Air Naphtha Ethane Propane Butane Import terminal Cracker plant Ethylene Oxygen Nitrogen Hydrogen gas Fuel gas Electricity Water Fuel gas Fuel gas Fuel gas Ethylene Hydrogen gas Propylene Polyethylene plant Hydro Polymers Perstorp Oxo AB Polyethylene Polyvinyl chloride Amines Tensides Chemical intermediates Inter-process material flows are well-established. What about utility flows? Natural gas Key figures for total site: Total CO 2 emissions: ~900 kton/yr Total heating demand: 442 MW 320 MW are covered by internal heat recovery Current utility usage fr fired boilers: 122 MW Can theoretically be reduced to 0 MW through inter-process heat integration! How this can be accomplished: New circulating hot water systems C Harmonization of utility pressure levels to enable heat exchange between process plant utility systems Rebuild steam heaters for 2 bar(g) operation Fire process off-gases in different boilers

4 Pinch Analysis for Heat Integration studies Process integration (PI) refers to the analysis and optimization of large and complex industrial processes Pinch analysis is a widely-used PI tool in many industry sectors, including Chemical sector Pinch analysis enables investigation of energy flows within a process, and identification of the most economical way to maximize heat recovery and minimize the demand for external utilities (e.g. steam and cooling water)

5 Basics of Pinch Analysis Heat supply T Heat supply Process Pinch Determined by ΔT min 160 Minimum hot utility Raw material P r o c e s s Products El Heat balance Grafically T ( C) Hot streams Cold streams 20 Cooling Q Minimum cold utility Cooling Maximal Internal Heat recovery Process streams Energy analysis

6 Can the same approach be used for investigating interprocess heat exchange in multi-plant industrial clusters? 100 AGA Sum of individual process minimum heating requirements = 77 MW Can this target be decreased further? Akzo 100 Borealis PE Borealis Cracker Perstorp Ineos Sum of individual process current heating requirements = 122 MW Use Total Site Analysis (TSA)

7 Process data requirements Black box: Each process is represented by its utility demand only Grey box: more detail about process streams in utility heaters and coolers White box: include full pinch stream data for all process streams Not realistic for TSA studies Implicitly assumes that we accept the energy efficiency of processes at their current level. Normal assumption for TSA studies

8 Composite Curve Profiles (TSP) for one of the process plants Temperature [ C] Process streams in utility coolers (Sources) Utility streams in process coolers Process streams in utility heaters (Sinks) Utility streams in process heaters Heat load [kw] Sink Profile Source Profile Hot Utility Cold Utility 0

9 Combined TSP for the six process plants in the cluster Q CW and Air =560 MW 1600 Q rec =324 MW Q heating, total =442 MW Heat and Power Technology Temperature [ C] Q -200 cooling, total =953 MW Heat load [MW] Sink Profile Source Profile Hot Utility Cold Utility 200 0

10 TSA allows us to estimate the potential to reuse heat from coolers as hot utility elsewhere Temperature [ C] Sink Profile Hot Utility Site Pinch Q cooling =633 MW Heat load [MW] Q rec =320 MW Q heating =122 MW Source Profile Cold Utility TSA results: Hot utility load is Q heating = 122 MW from fired boilers, i.e. no improvement over analysis of separate processes Site pinch at 120 C Cooling provided by CW, air and refrigerant In order to improve energy efficiency we must make changes to utility systems (in order to shift site pinch)

11 Improved site utility system Temperature [ C] Q surplus =7 MW Q cooling =506 MW Q rec = 449 MW Heat lead [MW] Sink Profile Source Profile Hot Utility Cold Utility Technical measures: Hot water system C Increased recovery of 2 bar(g) steam Harmonize utility levels (only 3 levels) Results: New heating demand: Q heating = 0 MW Potential savings: 122 MW Steam surplus: Q surplus = 7 MW Compare with sum of individual process minimum heating demands (77 MW)

12 Feasibility study: ºC circulating water system STEAM 75 o C Heat sinks Process heaters 55 o C CW Heat sinks Process heaters 75 o C

13 Design options Availability of different heat sources and sinks at different companies provides many degrees of freedom in the design of the heat recovery system Delivering heat from one plant to another requires new HXs and piping construction Recovered excess heat mainly replaces LP steam, which can cause excess of LP steam at certain sites Excess LP steam has to be redistributed to sites with LP steam demand Combustible by-products (off-gases) that can t be used otherwise have to be redistributed to sites with demand

14 Hot water circuit max heat recovery (4 plants involved) Heat and Power Technology Plant E Current LP steam demand: 25.7 MW 30.6 MW 1 4 Plant C1 Heat sources Heat sinks Total investment: 335 MSEK 1 Potential demand: 40.3 MW 27 MW MW Potential heat sink for excess utility Total hot utility savings: 30.6 MW Payback period: App. 3.7 years New HX: MW 3.4 MW 0.4 MW 26.9 MW Fuel Steam Hot water Plant B Plant C2

15 What is the penalty of reduced complexity? Plant E Current LP steam demand: 25.7 MW 26.1 MW 1 4 Plant C1 Heat sources Heat sinks Total investment: 306 MSEK (335) Total hot utility savings: 26.1 MW (30.6) Pay back period: App. 3.9 years (3.7) New HX: 7 (14) 1 Potential demand: 40.3 MW Plant B 26.1 MW MW 26.1 MW 5.5 MW Plant C2 Potential heat sink for excess utility Fuel Steam Hot water

16 Summary Pinch analysis tools can be extended and used for Total Site studies of industrial process clusters TSA applied to the chemical cluster in Stenungsund indicates major opportunities for increased energy efficiency through inter-process heat exchange BUT this is not Business-as-usual New business models are required to realize the potential (or part thereof)