INDUSTRIAL-RESIDENTIAL HEAT INTEGRATION BEST PRACTICE SOLUTIONS. Dr. Valter Mantelli. Technical Manager Iplom S.p.A. EFENIS Project Partner

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1 INDUSTRIAL-RESIDENTIAL HEAT INTEGRATION BEST PRACTICE SOLUTIONS Dr. Valter Mantelli Technical Manager Iplom S.p.A. EFENIS Project Partner

2 Outline IPLOM: Who - Where How IPLOM Energy Balance District Heating Network MIP Model Development (Aristotele University Thessaloniki) Case Study Conclusions

3 IPLOM: Who - Where How IPLOM HAS REFINED AND DELIVERED OIL PRODUCTS IN BUSALLA SINCE 1943 LOW SULFUR FUEL OILS BITUMEN 25 KILOMETERS

4 IPLOM: Who - Where How In the North of Italy Very close to Genoa At the borders of Po s Valley In a commercially strategic area IPLOM

5 IPLOM: Who - Where How SCHEME OF EXISTING PRODUCTION ARRANGEMENT OF THE REFINERY

6 IPLOM Energy Balance THE ENERGY LEVEL OF THE REFINERY CURRENTLY 155 MW ON AN HOURLY BASIS THIS ENERGY IS PRODUCED THROUGH Electricity and steam Generators 28% Process Furnace 72%

7 IPLOM Energy Balance ROUGHLY THE 30% OF 155 MW IS DISSIPATED Energy lost by product cooling 18 MW Energy lost by Flue Gas 28 MW Energy used 109 MW

8 IPLOM Energy Balance IN WINTER MONTHS AND IN PEAK CONDITION BY PROVIDING NOMINAL THERMAL POWER OF ABOUT 10,000 KW THE CONSTRUCTION OF THE DISTRICT HEATING NETWORK WILL RECOVER UP TO 20% OF TOTAL PLANT ENERGY LOSSES

9 District Heating Network INSIDE THE INDUSTRIAL SITE IDENTIFICATION OF THE EASY RECOVERABLE WASTE HEAT FLUE GAS FROM CHP, TEMPERED WATER FOR THE COOLING OF HIGH POUR POINT PRODUCTS PRELIMINARY PROCESS FLOW DIAGRAM TO COLLECT THE WASTE HEAT

10 District Heating Network IPLOM Preliminary Process Flow Diagram Energy sources

11 District Heating Network OUTSIDE THE BOUNDARY OF THE INDUSTRIAL SITE IDENTIFICATION AND CHARACTERIZATION OF DETAILED HEAT DEMAND IN THE 3 SITES CLOSE TO THE INDUSTRIAL PLANT DESIGN OF A FEASIBLE LAYOUT FOR THE DISTRICT HEATING NETWORK

12 IDENTIFICATION OF ENERGY DEMAND IN 3 MAIN SITES BORGO FORNARI BUSALLA 1 BUSALLA 2

15 District Heating Network Layout of District Heating Network Planimetry busalla

16 MIP Model Development ARISTOTELE UNIVERSITY OF THESSALONIKI AN URBAN AREA IS DIVIDED INTO A NUMBER OF SECTORS CERTAIN HEAT ELECTRICITY DEMAND CANDIDATE TECHNOLOGIES COMBINED HEAT AND POWER (CHP) UNITS HEAT GENERATION UNITS HEAT STORAGE TANKS EXTERNAL HEAT SUPPLY REFINERY CHP UNITS GAS BURNERS OPERATING GIVEN DATA HEAT BUFFER TANKS ECONOMIC GIVEN DATA REFINERY 16

MIP Model Development ARISTOTELE UNIVERSITY OF THESSALONIKI DESIGN DECISIONS OPERATIONAL DECISIONS SELECTION AND SIZING OF EACH TECHNOLOGY TO BE INSTALLED KEY MODEL DECISIONS

17 MIP Model Development ARISTOTELE UNIVERSITY OF THESSALONIKI DESIGN DECISIONS OPERATIONAL DECISIONS SELECTION AND SIZING OF EACH TECHNOLOGY TO BE INSTALLED KEY MODEL DECISIONS OPERATING STATUS AND HEAT GENERATION LEVEL HEAT PROVIDED FROM THE REFINERY MINIMISATION OF THE TOTAL ANNUALIZED COST SO AS TO SATISFY ELECTRICAL AND THERMAL DEMAND OF EACH SECTOR 17

18 MIP Model Development ARISTOTELE UNIVERSITY OF THESSALONIKI DEVELOPMENT OF A GENERAL MIP FRAMEWORK FOR THE DESIGN AND OPERATIONAL PLANNING OF URBAN ENERGY NETWORKS BASED ON CHP GENERATORS OBJECTIVE FUNCTION SUBJECT TO DESIGN CONSTRAINTS OPERATING CONSTRAINTS ENERGY BALANCE CONSTRAINTS CAPACITY CONSTRAINTS TIGHTENING CONSTRAINTS 18

19 Case Study ARISTOTELE UNIVERSITY OF THESSALONIKI B -F D AREA DISCRETIZATION B B B B

20 Case Study ARISTOTELE UNIVERSITY OF THESSALONIKI 20

21 Case Study CASE STUDY REMARKS ARISTOTELE UNIVERSITY OF THESSALONIKI OPTIMIZATION-BASED FRAMEWORK FOR THE DESIGN AND OPERATIONAL PLANNING OF URBAN ENERGY NETWORKS BASED ON CHP GENERATORS HEAT DEMAND MAIN DRIVER FOR ALL DECISIONS REFINERY S HEAT AVAILABILITY FLEXIBILITY FUEL AND CAPITAL COSTS MOST SIGNIFICANT COST COMPONENTS - FOLLOWED BY ELECTRICITY PURCHASES COST

22 Case Study CURRENT RESEARCH ARISTOTELE UNIVERSITY OF THESSALONIKI APPLICATION OF THE MODEL IN A REAL CASE INCLUDING A CENTRAL REFINERY LOCATED CLOSE TO TWO SMALL ITALIAN VILLAGES INTEGRATION OF RENEWABLES IN THE ENERGY GENERATION TECHNOLOGIES BY DEVELOPING SCHEDULING PLANS TO DEAL WITH THEIR INTERMITTENCY INCORPORATION OF HEAT TEMPERATURE LEVELS IN THE GENERALIZED MIP FRAMEWORK

23 Conclusions FINAL DESIGN OF THE INSIDE REFINERY HEAT RECOVERY SYSTEM FINAL DESIGN OF THE DISTRICT HEATING NETWORK IDENTIFICATION OF THE INVESTMENT COSTS OPERATING COST SENSITIVITY

24 Iplom S.p.A. EFENIS Project Partner

The 34 th Congress of Euroheat & Power

The 34 th Congress of Euroheat & Power Varese Risorse An intelligent way to increase cogeneration and energy savings Fabio Fidanza Director Varese Risorse S.p.a. INTRODUCTION Varese Risorse is the company which manages the district heating