last modified: 23-FEB-1984 | catalog | categories | new | search |

NESC0699 ORSIM.

ORSIM, Nuclear Fuel, Fossil Fuel Hydroelectric Power Plant Cost and Economics

top ]
1. NAME OR DESIGNATION OF PROGRAM:  ORSIM.
top ]
2. COMPUTERS
To submit a request, click below on the link of the version you wish to order. Only liaison officers are authorised to submit online requests. Rules for requesters are available here.
Program name Package id Status Status date
ORSIM NESC0699/02 Tested 23-FEB-1984

Machines used:

Package ID Orig. computer Test computer
NESC0699/02 IBM 3081 IBM 3081
top ]
3. DESCRIPTION OF PROBLEM OR FUNCTION

ORSIM is an electric power generating system integration model which simulates the multi-year operation of a mixed power system consisting of fossil, nuclear, hydroelectric, and pumped-storage units. For any specified refueling schedule for nuclear units and future load forecast, the model determines a plan of operation for the system which attempts to minimize the total discounted operating cost over a specified study  period.
The analysis considers the effects of forced outages, spinning reserve operating constraints, and scheduled introduction and retirement of generating stations. The model determines a maintenance schedule for the non-nuclear stations (nuclear stations  are maintained during refueling outages) and the optimum allocation  of energy-fixed nuclear and hydroelectric resources. It calculates the expected energy generated by each station in the system, by period over the planning horizon, based on input or calculated incremental operating cost. It also calculates the expected loss-of- load probability and unserved energy demand for each period in the planning horizon. An optimum operating plan, designed to minimize th discounted total production cost, is then calculated, as are the costs of operating each station in the system and the discounted total production cost for the derived plan of operation.
top ]
4. METHOD OF SOLUTION

ORSIM searches for a particular mode of operation which, over a multi-year planning horizon, will minimize the total system operating cost of a particular electric power generation system discounted to the beginning of the planning horizon. It does this by:
(a) calculating the planned maintenance outages for all units;  (b) estimating the incremental discounted cost of energy produced  by each station in the system for every subinterval of the        planning horizon;
(c) utilizing the incremental discounted costs of energy  generation to calculate, via probabilistic simulation, the  economic optimum energies generated by each station in the        system in each subinterval of the planning horizon;
(d) utilizing these expected energies in a feeedback loop to  calculate the total discounted operation cost and to produce  a new set of incremental discounted costs, thereby setting        the stage for the next iteration.
top ]
5. RESTRICTIONS ON THE COMPLEXITY OF THE PROBLEM

Maxima of -
    90 nuclear stations
    90 must-run stations (i.e., stations which must operate at a
       specified capacity level when available)
90 two-piece stations (i.e., stations considered to be divided        into two capacity blocks in the loading order calculation)
    90 stations per system
    90 maintenance seasons
top ]
6. TYPICAL RUNNING TIME

The sample problem runs in about 11 CPU minutes on both an IBM370/195 and an IBM3033. A one-year simulation  problem is executed in approximately 7 minutes on an IBM360/91, printing nearly 5000 lines and issuing about 6000 I/O requests.
NESC0699/02
NEA-DB executed the test case included in the package on IBM 3081 in 3 min 14.2 sec of CPU time.
top ]
7. UNUSUAL FEATURES OF THE PROGRAM

Applications of ORSIM to utility planning problems demonstrate that the model is well-suited for investigating exploration of preselected strategic operating plans over a range of conditions, economic interpretation of restrictions  and policies, and sensitivity analyses to determine critical system  parameters. Some examples include:
(a) evaluation of alternative plant addition schedules to meet        system growth,
(b) evaluation of the cost effects of construction delays,  nuclear plant de-ratings, and changes in refueling schedules,        and
(c) assessment of the effects of proposed fuel policy changes on        utility costs.
top ]
8. RELATED AND AUXILIARY PROGRAMS:
top ]
9. STATUS
Package ID Status date Status
NESC0699/02 23-FEB-1984 Tested at NEADB
top ]
10. REFERENCES:
NESC0699/02, included references:
- J.C. Turnage, B.E. Prince, D.S. Joy and L.L. Bennet:
  The Oak Ridge System Integration Model (ORSIM) for Optimization
  of Utility Generation Planning.
  ORNL-TM-4506 (October 1975).
- B.E. Prince and J.C. Turnage:
  Use of Incremental Energy Costs and Loading Order Rules in the
  ORSIM Procedure for Midrange Optimization of Electric Utility
  Operations.
  ORNL-TM-4507 (October 1975).
top ]
11. MACHINE REQUIREMENTS

750K bytes of memory are required for execution, and card as well as printer output is generated.
top ]
12. PROGRAMMING LANGUAGE(S) USED
Package ID Computer language
NESC0699/02 FORTRAN-IV
top ]
13. OPERATING SYSTEM UNDER WHICH PROGRAM IS EXECUTED:  OS/360,370.
MVS-SP (IBM 3081).
top ]
14. OTHER PROGRAMMING OR OPERATING INFORMATION OR RESTRICTIONS

The
Assembly language subprograms IPACK and IFLD are used for packing storage files. Sample problem output may produce slight differences  from those shown in the manual if the FORTRAN IV H-Extended compiler is used rather than the FORTRANIV H compiler. The program terminates when an end-of-file is encountered on the input unit.
top ]
15. NAME AND ESTABLISHMENT OF AUTHOR

B.E. Prince, 9104-1
Nuclear Division
Union Carbide Corporation
P.O. Box Y
Oak Ridge, Tennessee 37830

J.C. Turnage
Yankee Atomic Electric Company
20 Turnpike Road
Westboro, Massachusetts 01581
top ]
16. MATERIAL AVAILABLE
NESC0699/02
File name File description Records
NESC0699_02.003 ORSIM INFORMATION FILE 66
NESC0699_02.004 ORSIM SOURCE (FORTRAN-4) CARD IMAGES 3973
NESC0699_02.006 ORSIM SOURCE (ASSEMBLER) CARD IMAGES 56
NESC0699_02.007 ORSIM JCL 74
NESC0699_02.008 ORSIM INPUT FOR TEST CASE 591
NESC0699_02.009 ORSIM PRINTED OUTPUT OF TEST CASE 13478
NESC0699_02.010 ORSIM PUNCHED CARD OUTPUT OF TEST CASE 720
top ]
17. CATEGORIES
  • D. Depletion, Fuel Management, Cost Analysis, and Power Plant Economics

Keywords: economics, electric utilities, fossil-fuel power plants, hydroelectric power plants, nuclear power plants, optimization, planning, power generation, power plants.