An integrated energy system capable of utilising several
resources such as wind energy, solar energy, hydroenergy and
biogas for carrying out various tasks in a region is presented
based on the design formulated earlier. The approach is based
on minimisation of total annual cost, subject to a set of
constraints on the requirements for various tasks. The efficiency
values hijk used in the formulation for various pre-selected


resourcetask combinations are listed in Table 4.1. The Kijk
load factor computed using the relationship (Eq. (20)) is listed
in Table 4.2. The effective plant load factor Ki and the diversity
factor di assumed for resources are listed in Table 4.3. Capital
cost values computed in Rs./kWh (computed in earlier [28,29]-
techno-economic analyses) are listed in Table 4.4. The linear
programming problem is solved using Lindo-LP package. The
resulting optimal values are listed in Table 5.1. Optimum
allocation of resources for various tasks is as follows:
| E11: 3266.780 million units-mkWh (wood energy for
task 1), |
| E12: 20795.340 million units (wood energy for task 2), |
| E13: 1271.720 million units (wood energy for task 3), |
| E16: 1892.580 million units (wood energy for task 6), |
| E22: 346.230 million units (biogas for task 2), |
| E24: 2588.360 million units (biogas for task 4), |
| E31: 33.020 million units (wind energy for task 1), |
| E35: 172.530 million units (wind energy for task 5), |
| E46: 1048.560 million units (solar energy for task 6), |
| E51: 1481.580 million units (hydroenergy for task 1), |
| E55: 1408.030 million units (hydroenergy for task 5), |
| E63: 280.730 million units (grid electricity task 3), |
| E64: 39.260 million units (grid electricity task 4), |
| E74: 12.630 million units (kerosene for task 4), |
| E76: 2.510 million units (kerosene for task 6), |
| E85: 31.380 million units (diesel for task 5), and |
| E86: 68.610 million units (diesel for task 6). |
|