12th International Symposium on District Heating and Cooling

More documents

Recommendations

Info

The <strong>12th</strong> <strong>International</strong> <strong>Symposium</strong> on District Heating and Cooling,September 5 th to September 7 th , 2010, Tallinn, EstoniaABSTRACTANALYSIS FOR THE OPERATION BEHAVIOR AND OPTIMIZATION OF CHPSYSTEM IN DISTRICT HEATING AND COOLING NETWORKYong Hoon Im 1 , Hwa-Choon Park 1 , Byung-Sik Park 1 and Mo Chung 21 Cogen. & Boiler Research Group, Building Energy Research Center,Korea Institute of Energy Research, Korea3 Mechanical Eng. Dept., Yeungnam Univ., KoreaA simulation program for analyzing the effects of thenetworking operation of existing DHC system inconnection with CHP system on-site is to be discussedin this study. The practical simulation for arbitrary areaswith various building compositions is carried out for theanalysis of operational features in both systems, andthe various aspects of thermal network operation arehighlighted through the detailed assessment ofpredicted results. The intrinsic operational features ofCHP prime movers, gas engine, gas turbine etc., areeffectively implemented by realizing the performancedata, i.e. actual operation efficiency in the full and partloads range.For the sake of simplicity, a simple mathematicalcorrelation model is proposed for simulating variousaspects of change effectively on the existing DHCsystem side due to the networking operation, instead ofperforming cycle simulations separately. The empiricalcorrelations are developed using the hourly basedannual operation data for a branch of the KoreanDistrict Heating Corporation (KDHC) and are implicit inrelation between main operation parameters such asfuel consumption by use, heat and power production. Inthe simulation, a variety of system configurations areable to be considered according to any combination ofthe probable CHP prime-movers, absorption or turbotype cooling chillers of every kind and capacity. Fromthe analysis of the thermal network operationsimulations, it is found that the newly proposedmethodology of mathematical correlation for modellingof the existing DHC system functions effectively inreflecting the operational variations due to thermalnetwork operation. The effects of intrinsic features ofCHP prime-movers, e.g. the different ratio of heat andpower production, various combinations of differenttypes of chillers (i.e. absorption and turbo types) on theoverall system operation are discussed in detail withthe consideration of operation schemes andcorresponding simulation algorithms. The variousaspects of system configuration in terms of CHPsystem optimization are also discussed.INTRODUCTIONIn Korea, the district heating and cooling (DHC) systemgains share of the market steadily and it amounts to15712.3% on the basis of the total number of householdsat the end of 2008 [1]. The annual heat sales, via DHCnetwork, in 2008 have reached 16,676 thousand Gcaland it increased by about 5% on average after 2001.Considering the trend of new-town development inmetropolitan areas and newly developing residentialareas on a large scale, it is generally expected to showa clear increasing trend of DHC systems on the marketfor the time being. Furthermore, the relevant changesof circumstances such as the long-term expectation forhigh prices of fossil fuels and the imminent realizationof UNFCCC around the world will help the CHP andDHC system tighten its grips on the forthcomingheating and cooling market [2]-[3]. Among the severalmerits of DHC systems against separate heat & power(SHP) or central heating system, the distinctive featureof being able to construct the networking system withthe neighbouring DHC systems certainly deserves toreceive attention from the view point of efficient use ofenergy resources and operation costs reduction [4].However, the effectiveness of networking operation ofCHP and neighboring DHC systems is stronglyinfluenced by the conditions of energy consumptionbehaviours and corresponding operation scenarios onboth sides. The different pattern of energy consumptionin new demand areas is highly desirable for creatingsynergy effects by networking operation. In addition,the different operation strategy of CHP system with thatof DHC network can also improve the effectiveness ofnetworking operation. The optimal system configurationof the CHP system with networking operation certainlydiffers from that of stand-alone CHP system not tomention the operation characteristics. Since the heatflows in the network are bi-directional, the appropriatemodelling for the mutual effects on each system ishighly required for the accurate estimation of thenetworking operation.The main purpose of this study is to examine thefeasibility of the network operation of the CHP systemon-site with the existing DHC system in terms ofefficient use of primary energy and reduction of theoperation cost. In this study, a simulation program isdeveloped for analysing the thermal networkingprocess between the existing DHC system and theCHP system for the newly developing area. The effectsof thermal networking on the existing DHC systemoperation are implemented using mathematical
The <strong>12th</strong> <strong>International</strong> <strong>Symposium</strong> on District Heating and Cooling,September 5 th to September 7 th , 2010, Tallinn, Estoniamodelling with empirical correlations for main operativeparameters. The intrinsic features for the CHP primemovers is modeled using the actual performance dataof operation efficiency in full or part load conditions.The specific features of the newly developed programin simulation of thermal networking process in districtheating is described in terms of the energy loadprediction and operation simulation of various systemconfigurations with CHP prime movers and types ofcooling chillers. The unit energy load model for variousbuildings by use, e.g. apartment, hotel, hospital,buildings for business and commercial use etc, isintroduced for the accurate prediction of energy loadsfor newly developing area. The effects of intrinsicfeatures of CHP prime movers, e.g. the different ratio ofheat and power production, various combination ofdifferent types of chillers (i.e. absorption and turbotypes), on the overall system operation are alsodiscussed in detail in the following.Fig. 2 and Fig. 3 show examples of the daily unitenergy load model of heating for the apartment andhourly unit energy load model of electricity for the officebuilding respectively.The annual hourly unit energy model can be obtainedby synthesizing the daily and hourly unit energy loadmodels [5]. The final annual hourly energy consumptionfor given building compositions and correspondingscale is to be predicted with the input of the total areasfor respective buildings since the unit energy loadmodels have been developed by normalizing thestatistical energy consumption measurement data withthe corresponding building areas. The example ofannual hourly energy consumption for the apartment isshown in Fig. 4.MODELLING FOR NET-WORKING OPERATION1. Modelling of CHP system operationIn the previous studies [5]–[9], a simulation tool for theoptimal design of the CHP system had beendeveloped, which is composed with three differentmodules of energy load prediction, operationsimulation, and economic analysis modules as shownin Fig. 1. The main goal of the simulation is to draw anoptimized system configuration for a given target areaby the systematic analysis of the physical andmechanical behaviour of the CHP system andcorresponding operational cost structure. In principle,the analysis is performed on hourly basis for a year.The unit energy load model for a variety of buildingtypes (e.g. apartment, commercial building, officebuilding, department store, hospital etc.) has beendeveloped for different types of energy loads, i.e.heating, cooling, electricity and hot water [10]-[13]. Inenergy load prediction module, the hourly, annualenergy demand for a target area is predicted using theunit energy load models.Fig.1. Relationship between load, operation and economicanalysis modules [9]Fig. 2. Daily unit energy load model for the apartmentFig. 3. Hourly unit energy load model for the office buildingIn the operation simulation module, a variety of CHPsystem configurations can be considered in terms oftypes of prime-movers for the CHP system (e.g. gasengine, gas turbine, combined CHP, flexible electricitygas turbine), its capacity, and facility types for cooling(if cooling load is available) [6]. In the operatingsimulation of the CHP system, it is noted that thephysical or mechanical operation results such as fuelconsumption, heat supply, electricity produced by CHPetc. are calculated by using the operation performancedata for the real products of CHP system, or coolingfacility instead of performing thermodynamic cyclesimulations for respective facilities separately. In order158
Page 1:
12th Inter
Page 5 and 6:
The 12th I
Page 7 and 8:
The 12th I
Page 10 and 11:
The 12th I
Page 12 and 13:
The 12th I
Page 14 and 15:
For the case of parallel buried pip
Page 16 and 17:
The 12th I
Page 18 and 19:
The 12th I
Page 20 and 21:
The 12th I
Page 22 and 23:
The 12th I
Page 24 and 25:
The 12th I
Page 26 and 27:
The 12th I
Page 28 and 29:
The 12th I
Page 30 and 31:
The 12th I
Page 32 and 33:
The 12th I
Page 34 and 35:
The 12th I
Page 36 and 37:
The 12th I
Page 38 and 39:
The 12th I
Page 40 and 41:
The 12th I
Page 42 and 43:
The 12th I
Page 44 and 45:
The 12th I
Page 46 and 47:
The 12th I
Page 48 and 49:
The 12th I
Page 50 and 51:
The 12th I
Page 52 and 53:
The 12th I
Page 54 and 55:
The 12th I
Page 56 and 57:
The 12th I
Page 58 and 59:
The 12th I
Page 60 and 61:
The 12th I
Page 62 and 63:
The 12th I
Page 64 and 65:
The 12th I
Page 66 and 67:
The 12th I
Page 68 and 69:
The 12th I
Page 70 and 71:
The 12th I
Page 72 and 73:
The 12th I
Page 74 and 75:
The 12th I
Page 76 and 77:
The 12th I
Page 78 and 79:
The 12th I
Page 80 and 81:
The 12th I
Page 82 and 83:
The 12th I
Page 84 and 85:
The 12th I
Page 86 and 87:
The 12th I
Page 88 and 89:
The 12th I
Page 90 and 91:
The 12th I
Page 92 and 93:
The 12th I
Page 94 and 95:
The 12th I
Page 96 and 97:
The 12th I
Page 98 and 99:
the street the more shallow the sha
Page 100 and 101:
The 12th I
Page 102 and 103:
The 12th I
Page 104 and 105:
The 12th I
Page 106 and 107:
The 12th I
Page 108 and 109: The 12th I
Page 110 and 111: P-1P-4P-9P-7E-5P-14P-8The 1
Page 138 and 139: to heating costs of 14,5 ct/kWh. Th
Page 148 and 149: academic access is facilitated as t
Page 162 and 163: 1. CHP system operation in A2. Ther
Page 166 and 167: is covered by operating HOB. In oth
Page 196 and 197: produce heat and electricity. Fluct
Page 208 and 209:
The 12th I
Page 210 and 211:
To assure that the temperatures mea
Page 212 and 213:
The 12th I
Page 214 and 215:
The 12th I
Page 216 and 217:
The 12th I
Page 218 and 219:
The 12th I
Page 220 and 221:
production and provide for marginal
Page 222 and 223:
The 12th I
Page 224 and 225:
The 12th I
Page 226 and 227:
The 12th I
Page 228 and 229:
The 12th I
Page 230 and 231:
The 12th I
Page 232 and 233:
The 12th I
Page 234 and 235:
The 12th I
Page 236 and 237:
The 12th I
Page 238 and 239:
The 12th I
Page 240 and 241:
The 12th I
Page 242 and 243:
In addition, it can also be observe
Page 244 and 245:
The 12th I
Page 246 and 247:
owner is normally only interested i
Page 248 and 249:
The 12th I
Page 250 and 251:
The 12th I
Page 252 and 253:
The 12th I
Page 254 and 255:
The 12th I
Page 256 and 257:
The 12th I
Page 258 and 259:
The 12th I
Page 260 and 261:
The 12th I
Page 262 and 263:
The 12th I
Page 264 and 265:
The 12th I
Page 266 and 267:
The 12th I
Page 268 and 269:
The 12th I
Page 270 and 271:
The 12th I
Page 272 and 273:
The 12th I
Page 274 and 275:
The 12th I
Page 276 and 277:
The 12th I
Page 278 and 279:
The 12th I
Page 280 and 281:
The 12th I
Page 282 and 283:
The 12th I
Page 284 and 285:
The 12th I
Page 286 and 287:
The 12th I
Page 288 and 289:
The 12th I
Page 290 and 291:
Stockholm district heating system a
Page 292 and 293:
The 12th I
Page 294 and 295:
The 12th I
Page 296 and 297:
The 12th I
Page 298 and 299:
The 12th I
Page 300 and 301:
The 12th I
Page 302 and 303:
The 12th I
Page 304 and 305:
The 12th I
Page 306 and 307:
The 12th I
Page 308 and 309:
The 12th I
Page 310 and 311:
The 12th I
Page 312 and 313:
The 12th I
Page 314 and 315:
The values presented do of course l
Page 316 and 317:
The 12th I
Page 318 and 319:
The 12th I
Page 320 and 321:
The 12th I
Page 322 and 323:
The 12th I
Page 324 and 325:
The 12th I
Page 326:
The 12th I
show all

12th International Symposium on District Heating and Cooling

Create successful ePaper yourself

Delete template?

Save as template?