Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Abstract

Abstract:The simulation model is one of the key points affecting the optimal planning and operation of energy hubs (EHs). Since treating the efficiencies of generation units as constants would significantly simplify the calculation, only a simplified model is investigated in most research works. In this paper, aiming at optimizing the capacity configuration of an EH, we present a part-load characteristics-based (PLCB) model, in which the efficiencies of generation units will change with the fluctuating load. Based on the PLCB model, the accuracy of the EH model can be improved. Furthermore, a two-stage planning method is proposed to solve the optimal capacity configuration problem of the EH. Group Search Optimizer (GSO) is used to determine the optimal size in the first stage, and a mathematical programming method is applied to obtain the optimal operation of the EH in the second stage. Comparative studies using the PLCB model and the simplified model are performed to examine the impacts of equipment part-load characteristics on the sizing results. Simulation results indicate that the proposed model appears to have a better economic performance than the simplified model.

Optimal Planning of Energy Hubs Considering Renewable Energy Sources and Battery Energy Storage System

“…In addition, the CO2 emission coefficient of electricity from the utility source and natural gas are about 0.623 kg/kWh and 0.184 kg/kWh, respectively. The CO2 emission tax probably enforced by the government is 4.12 $/ton (Deng et al, 2017;Wanga et al, 2017). The simulation period is 5 years and the discount rate is 10%.…”

“…Similarly, the capacity configuration problem aims at finding the optimal sizes for the generation units introduced in the study (Deng et al, 2017) the life cycle cost (LCC) is chosen as the minimal objective function of the model. In addition to the investment and operation costs of EH, the problem is added emission cost and lifecycle of equipment.…”

“…The different energy forms are converted and conditioned by converter technologies such as TR, CHP, absorption chiller (AC), electrical chiller (EC), gas boiler (GB) and energy storages. The demand at output ports of EH often includes the energy forms as electricity, heating and cooling while the energy forms at the input are electricity, natural gas and renewable energies (Geidl et al, 2007;Barmayoon et al, 2016;Deng et al, 2017). Therefore, a schematic diagram of a typical EH is proposed, and depicted in Figure 1 to improve the effectiveness of energy supply.…”

“…The emission of the sources includes CO, CO2, SO2 and NOx in which the amount of emission CO2 is the largest so it is integrated into objective function to decrease the emission taxes computed as Equation (5) (Deng et al, 2017). k, g and e are CO2 emission coefficient from the RES, natural gas and utility grid electricity, respectively.…”

Review of Uncertainty Modeling for Optimal Operation of Integrated Energy System

“…Chen et al (2020c) established an RIES optimal scheduling model based on dynamic EH considering the characteristics of equipment under variable conditions, which improves the accuracy of the equipment model and reduces the cost prediction error of the scheduling scheme. Wei et al (2015), Deng et al (2017) proposes an economic optimization model that considers the characteristics of the equipment under variable conditions for small internal combustion generator sets, CHP, and energy production equipment. Considering the characteristics of equipment under variable conditions will make the model have nonlinear constraints.…”