scholarly journals Prospective Analysis of Life-Cycle Indicators through Endogenous Integration into a National Power Generation Model

Resources ◽  
2016 ◽  
Vol 5 (4) ◽  
pp. 39 ◽  
Author(s):  
Diego García-Gusano ◽  
Mario Martín-Gamboa ◽  
Diego Iribarren ◽  
Javier Dufour
2016 ◽  
Vol 112 ◽  
pp. 2693-2696 ◽  
Author(s):  
Diego García-Gusano ◽  
Diego Iribarren ◽  
Mario Martín-Gamboa ◽  
Javier Dufour ◽  
Kari Espegren ◽  
...  

2018 ◽  
Vol 13 (Number 1) ◽  
pp. 55-67
Author(s):  
Shafini M. Shafie ◽  
Zakirah Othman ◽  
N Hami

Malaysia has an abundance of biomass resources that can be utilised for power generation. One of them is paddy residue. Paddy residue creates ahuge potential in the power generation sector. The consumption of paddy residue can help Malaysia become less dependent on conventional sources of energy, mitigate greenhouse gas(GHG) emission, offer positive feedback in the economic sector, and at the same time, provide thebest solution for waste management activities. The forecast datafor 20 years on electricity generation wasused to calculate the GHG emission and its saving when paddy residue is used for electricity generation. The government’scost saving was also identified when paddy residue substituted coal fuel in electricity generation.This paper can provide forecast information so that Malaysia is able to move forward to apply paddy residue as feedstock in energy supply. Hopefully, the data achieved can encourage stakeholder bodies in the implementation of paddy residue inelectricity generation since there is apositive impact towardscost and emission saving.


2019 ◽  
Author(s):  
James Littlefield ◽  
Selina Roman-White ◽  
Dan Augustine ◽  
Ambica Pegallapati ◽  
George G. Zaimes ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3463
Author(s):  
Xueliang Yuan ◽  
Leping Chen ◽  
Xuerou Sheng ◽  
Mengyue Liu ◽  
Yue Xu ◽  
...  

Economic cost is decisive for the development of different power generation. Life cycle cost (LCC) is a useful tool in calculating the cost at all life stages of electricity generation. This study improves the levelized cost of electricity (LCOE) model as the LCC calculation methods from three aspects, including considering the quantification of external cost, expanding the compositions of internal cost, and discounting power generation. The improved LCOE model is applied to three representative kinds of power generation, namely, coal-fired, biomass, and wind power in China, in the base year 2015. The external cost is quantified based on the ReCiPe model and an economic value conversion factor system. Results show that the internal cost of coal-fired, biomass, and wind power are 0.049, 0.098, and 0.081 USD/kWh, separately. With the quantification of external cost, the LCCs of the three are 0.275, 0.249, and 0.081 USD/kWh, respectively. Sensitivity analysis is conducted on the discount rate and five cost factors, namely, the capital cost, raw material cost, operational and maintenance cost (O&M cost), other annual costs, and external costs. The results provide a quantitative reference for decision makings of electricity production and consumption.


2021 ◽  
Vol 11 (5) ◽  
pp. 2009
Author(s):  
Valerii Havrysh ◽  
Antonina Kalinichenko ◽  
Anna Brzozowska ◽  
Jan Stebila

The depletion of fossil fuels and climate change concerns are drivers for the development and expansion of bioenergy. Promoting biomass is vital to move civilization toward a low-carbon economy. To meet European Union targets, it is required to increase the use of agricultural residues (including straw) for power generation. Using agricultural residues without accounting for their energy consumed and carbon dioxide emissions distorts the energy and environmental balance, and their analysis is the purpose of this study. In this paper, a life cycle analysis method is applied. The allocation of carbon dioxide emissions and energy inputs in the crop production by allocating between a product (grain) and a byproduct (straw) is modeled. Selected crop yield and the residue-to-crop ratio impact on the above indicators are investigated. We reveal that straw formation can consume between 30% and 70% of the total energy inputs and, therefore, emits relative carbon dioxide emissions. For cereal crops, this energy can be up to 40% of the lower heating value of straw. Energy and environmental indicators of a straw return-to-field technology and straw power generation systems are examined.


2021 ◽  
Author(s):  
Taylor Alicia Lena Marquis

In 2024, all commercial operations at the Pickering Nuclear Generation Station cease and the station will begin its decommissioning process. Ontario Power Generation is currently looking developing a repurposing strategy for the site throughout the decommissioning process, which is expected to be complete by 2064. This project presents a unique opportunity to re-imagine the future of this site, while setting a precedent for the reuse of nuclear sites and facilities once they have reached the end of their life cycle – an issue that will be more prevalent in the coming years. This project proposes a vision for the site to be transformed into parkland using ecological restoration practices, and establishing a Centre for Clean Energy Technology. Using design as a form of research, the project was informed by background research that included a review of existing literature on post-industrial site redevelopment, precedent studies, and site reconnaissance.


2014 ◽  
Vol 128 ◽  
pp. 246-253 ◽  
Author(s):  
Amit Thakur ◽  
Christina E. Canter ◽  
Amit Kumar

Sign in / Sign up

Export Citation Format

Share Document