scholarly journals An adaptive renewable energy plant (AREP) - To power local premises and vehicles with 100% renewables

2021 ◽  
Vol 38 ◽  
pp. 100703
Author(s):  
Fanny Boulaire ◽  
Jonathan Love ◽  
Ian Mackinnon
2019 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Lauren K. D’Souza ◽  
William L. Ascher ◽  
Tanja Srebotnjak

Native American reservations are among the most economically disadvantaged regions in the United States; lacking access to economic and educational opportunities that are exacerbated by “energy insecurity” due to insufficient connectivity to the electric grid and power outages. Local renewable energy sources such as wind, solar, and biomass offer energy alternatives but their implementation encounters barriers such as lack of financing, infrastructure, and expertise, as well as divergent attitudes among tribal leaders. Biomass, in particular, could be a source of stable base-load power that is abundant and scalable in many rural communities. This case study examines the feasibility of a biomass energy plant on the Cocopah reservation in southwestern Arizona. It considers feedstock availability, cost and energy content, technology options, nameplate capacity, discount and interest rates, construction, operation and maintenance (O&M) costs, and alternative investment options. This study finds that at current electricity prices and based on typical costs for fuel, O&M over 30 years, none of the tested scenarios is presently cost-effective on a net present value (NPV) basis when compared with an alternative investment yielding annual returns of 3% or higher. The technology most likely to be economically viable and suitable for remote, rural contexts—a combustion stoker—resulted in a levelized costs of energy (LCOE) ranging from US$0.056 to 0.147/kWh. The most favorable scenario is a combustion stoker with an estimated NPV of US$4,791,243. The NPV of the corresponding alternative investment is US$7,123,380. However, if the tribes were able to secure a zero-interest loan to finance the plant’s installation cost, the project would be on par with the alternative investment. Even if this were the case, the scenario still relies on some of the most optimistic assumptions for the biomass-to-power plant and excludes abatement costs for air emissions. The study thus concludes that at present small-scale, biomass-to-energy projects require a mix of favorable market and local conditions as well as appropriate policy support to make biomass energy projects a cost-competitive source of stable, alternative energy for remote rural tribal communities that can provide greater tribal sovereignty and economic opportunities.


2017 ◽  
Vol 174 ◽  
pp. 145-154 ◽  
Author(s):  
Amy H.I. Lee ◽  
He-Yau Kang ◽  
Tzu-Ting Huang

2015 ◽  
Vol 7 (10) ◽  
pp. 13564-13584 ◽  
Author(s):  
Emanuele Bonamente ◽  
Lara Pelliccia ◽  
Maria Merico ◽  
Sara Rinaldi ◽  
Alessandro Petrozzi

2013 ◽  
Vol 772 ◽  
pp. 699-704 ◽  
Author(s):  
Corrado lo Storto ◽  
Gabriella Ferruzzi

This paper implements Data Envelopment Analysis (DEA) to calculate an efficiency measure index of 21 energy power plants that use different technologies, including both renewable and conventional types. Super-efficiency measurements are used to generate a ranking of plants based on their efficiency score that can be used to select among alternatives. It is also showed how DEA can also be adopted to estimate the amount of financial subsidies necessary to make a renewable energy plant as efficient as a conventional energy plant, by calculating the extent to which inefficient power plants over-utilize specific inputs or under-produce outputs.


Author(s):  
Hilal Bahlawan ◽  
Agostino Gambarotta ◽  
Enzo Losi ◽  
Lucrezia Manservigi ◽  
MIrko Morini ◽  
...  

Abstract Hybrid energy plants, which include both fossil fuel technologies and renewable energy systems, can provide an important step towards a sustainable energy supply. In fact, the hybridization of renewable energy systems with gas turbines which are fed by fossil fuels allows an acceptable compromise, so that high fossil fuel efficiency and high share of renewables can be potentially achieved. Moreover, electrical and thermal energy storage systems increase the flexibility of the energy plant and effectively manage the variability of energy production and demand. This paper investigates the optimal sizing of a hybrid energy plant which combines an industrial gas turbine, renewable energy systems and energy storage technologies. The considered renewable energy system is a photovoltaic system, while the energy storage technologies are electrical energy storage and thermal energy storage. Moreover, a compression chiller and a gas boiler are also considered. For this purpose, the load profiles of electricity, heating and cooling during a whole year are taken into account for the case study of the Campus of the University of Parma (Italy). The sizing optimization problem of the different technologies composing the hybrid energy plant is solved by using a genetic algorithm, with the goal of minimizing primary energy consumption. Moreover, different operation strategies are analyzed and compared so that plant operation is also optimized. The results demonstrate that the optimal sizing of the hybrid energy plant, coupled with the optimized operation strategy, allows high average cogeneration efficiency (up to 84%), thus minimizing primary energy consumption.


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