Structural Model Type on-Grid with Thermal Compression Chiller

The governing strategy of the CHP unit is changed ensuring at any moment the thermal energy needed. In this case the prosumers can export electricity to the grid. The solar panels are dimensioned in this case to produce maximum energy in the month with the greatest consumption and radiation available, similar off-grid (resulting к;т = 0.062 where July is the month with the greatest radiation potential). If the prosumers focuses on the electricity export to the grid, the dimensioning of the PV surface is done according to the conditions set about architectural sustainability and utilization factors determining the surface of the PV panels using the relation:

krPV = 0.4 – krST (68)

The results of numerical simulation for the illustrative exercise are shown in Table 38 and graphical distribution in Figs. 44 and 45.

The performance indicators obtained indicate a reduction of the PES = 75 % and a significant increase of the CCHP system’s global efficiency EFF = 94 %. The monthly distribution of PES and EFF is given by Fig. 46.

Table 38 Performance improving for structural model type on-grid

Month	Energy specific consumption of the mCCHP system	Specific power and heat production of the PV and ST panels	Specific power and heat production of the CHP unit	Specific heat production of the boiler
	(kWh/m2)	(kWh/m2)	£pv (kWh/m2)	qTP (kWh/m2)	ecg (kWh/m2)	qcg (kWh/m2)	qad (kWh/m2)
January	3.33	15.94	1.85	1.59	1.48	4.44	9.91
February	3.33	13.77	2.62	2.26	0.71	2.12	9.39
March	3.33	10.94	4.33	3.72	0.00	0.00	7.22
April	3.33	6.76	6.01	5.17	0.00	0.00	1.59
May	3.33	5.56	7.47	6.42	0.00	0.00	0.00
June	3.33	6.08	8.14	7.00	0.00	0.00	0.00
July	3.33	7.09	8.25	7.09	0.00	0.00	0.00
August	3.33	7.09	7.23	6.22	0.00	0.00	0.87
September	3.33	5.16	5.34	4.59	0.00	0.00	0.57
October	3.33	6.79	3.73	3.21	0.00	0.00	3.58
November	3.33	10.63	1.99	1.72	1.34	4.01	4.91
December	3.33	14.21	1.50	1.29	1.83	5.50	7.42
Total	40	110	58.46	50.29	5.36	16.07	45.45