Combined heat and power design based on environmental and cost criteria
This paper proposes a hybrid renewable energy system (HRES) consisting of photovoltaic (PV), wind and forest wood biomass power for cogeneration, and applies a multi-objective optimization methodology to study the trade-offs between life-cycle cost and environmental impact (EI) of such a system. The...
| Authors: | , , |
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| Format: | article |
| Publication Date: | 2016 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/98444 |
| Online Access: | https://hdl.handle.net/2117/98444 https://dx.doi.org/10.1016/j.energy.2016.10.025 |
| Access Level: | Open access |
| Keyword: | Renewable energy sources Biomass energy Photovoltaic power systems Wind power Genetic algorithms Energies renovables Energia solar fotovoltaica Energia de la biomassa Energia eòlica Algorismes genètics Àrees temàtiques de la UPC::Energies::Recursos energètics renovables::Biomassa forestal i agrícola Àrees temàtiques de la UPC::Energies::Recursos energètics renovables::Recursos solars fotovoltaics Àrees temàtiques de la UPC::Energies::Energia eòlica |
| Summary: | This paper proposes a hybrid renewable energy system (HRES) consisting of photovoltaic (PV), wind and forest wood biomass power for cogeneration, and applies a multi-objective optimization methodology to study the trade-offs between life-cycle cost and environmental impact (EI) of such a system. The optimization is achieved by applying an operation strategy that maximizes the efficiency of the biomass power subsystem coupled with an optimization model based on the use of genetic algorithm (GA) to obtain the optimal system sizing. The system is designed to supply the electricity demand of a rural township and the thermal demand – both heating and sanitary hot water (SHW) – of a neighborhood in a district heating (DH) scheme. Indigenously available renewable energy sources (RES) are used, taking special care in the case of biomass to not exceed the self-growth rate of local tree species. Results show that by taking advantage of the thermal energy produced, the payback time of the investment required to install the system is significantly reduced, being profitable after 9 years. Furthermore, it is also observed that layouts with low costs have greater EI and vice versa. However, it is shown that moderate cost increases have great returns on EI reduction. |
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