Optimal Allocation of a Hybrid Photovoltaic Biogas Energy System Using Multi-Objective Feasibility Enhanced Particle Swarm Algorithm
| Autor: | Taha Selim Ustun, Sharaf K. Magableh, Hussein Mohammad K. Al-Masri, Abed Al-Sharqi, Maher Abdolrasol, Ali Q. Al-Shetwi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Environmental effects of industries and plants
Renewable Energy Sustainability and the Environment Geography Planning and Development TJ807-830 Management Monitoring Policy and Law hybrid systems double-diode TD194-195 Renewable energy sources photovoltaic biogas multi-objective feasibility enhanced particle swarm optimization (MOFEPSO) algorithm Environmental sciences GE1-350 |
| Zdroj: | Sustainability, Vol 14, Iss 685, p 685 (2022) Sustainability; Volume 14; Issue 2; Pages: 685 |
| ISSN: | 2071-1050 |
| Popis: | This paper aims to investigate a hybrid photovoltaic (PV) biogas on-grid energy system in Al-Ghabawi territory, Amman, Jordan. The system is accomplished by assessing the system’s reliability and economic viability. Realistic hourly measurements of solar irradiance, ambient temperature, municipal solid waste, and load demand in 2020 were obtained from Jordanian governmental entities. This helps in investigating the proposed system on a real megawatt-scale retrofitting power system. Three case scenarios were performed: loss of power supply probability (LPSP) with total net present cost (TNPC), LPSP with an annualized cost of the system (ACS), and TNPC with the index of reliability (IR). Pareto frontiers were obtained using multi-objective feasibility enhanced particle swarm optimization (MOFEPSO) algorithm. The system’s decision variables were the number of PV panels (Npv) and the number of biogas plant working hours per day (tbiogas). Moreover, three non-dominant Pareto frontier solutions are discussed, including reliable, affordable, and best solutions obtained by fuzzy logic. Double-diode (DD) solar PV model was implemented to obtain an accurate sizing of the proposed system. For instance, the best solution of the third case is held at TNPC of 64.504 million USD/yr and IR of 96.048%. These findings were revealed at 33,459 panels and 12.498 h/day. Further, system emissions for each scenario have been tested. Finally, decision makers are invited to adopt to the findings and energy management strategy of this paper to find reliable and cost-effective best solutions. |
| Databáze: | OpenAIRE |
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