Environmental degradation costs in electricity generation: The case of the Brazilian electrical matrix

Alves, Laura Araujo; Uturbey, Wadaed

doi:10.1016/j.enpol.2010.06.006

Cited by 23 publications

(16 citation statements)

References 18 publications

(17 reference statements)

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“…Sustainable power generation and utilization are continually emphasized in climate change discussions. These discussions are based on numerous scientific research articles, which show that conventional, greenhouse gas (GHG) emitting, power generation methods are economically and environmentally unsustainable . The threat of climate change and depletion of natural resources has made this a global concern .…”

Section: Introductionmentioning

confidence: 99%

Renewable energy choice: Cost and energy analysis of grid connected photovoltaic system in Malaysia

Heng

Al‐Amin

Saidur

et al. 2014

Env Prog and Sustain Energy

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Conventional energy production methods rely upon combustion of hydrocarbon fuels, which exhaust gases that can elevate the temperature of the Earth's atmosphere (greenhouse effect). Alternative methods of power generation are being examined that do not have this negative environmental impact. This study investigates the potential use of a residential grid‐connected photovoltaic system in the Klang Valley of Malaysia. A 1–4 kW system would be capable of producing a RM 4,542.00 net profit per year, generating a total cash benefit of RM 95,382.00 in its 21 year project lifespan. Moreover, the system would significantly reduce greenhouse gas emissions (40,604 kg of carbon dioxide, 258 kg of sulfur dioxide, 120 kg of nitrous oxide, and 23 kg of carbon monoxide) throughout its 21 year project lifespan. The results of this study can be used to formulate effective renewable‐energy alternatives in Malaysia and elsewhere. © 2014 American Institute of Chemical Engineers Environ Prog, 34: 866–880, 2015

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Section: Introductionmentioning

confidence: 99%

Renewable energy choice: Cost and energy analysis of grid connected photovoltaic system in Malaysia

Heng

Al‐Amin

Saidur

et al. 2014

Env Prog and Sustain Energy

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“…Moreover, it should also be noticed that greenhouse gas emissions in reservoirs are higher in the first 10 years [39,40].…”

Section: Recent Policies For the Development Of Hydropowermentioning

confidence: 99%

“…The Belo Monte mill may produce 1 million tons of CO 2 per year during the first ten years [12,39]. Dams such as Jirau and Santo Antônio will have lower emissions, due to the size of the reservoirs [40].…”

Section: Recent Policies For the Development Of Hydropowermentioning

confidence: 99%

An Overview of Hydropower Reservoirs in Brazil: Current Situation, Future Perspectives and Impacts of Climate Change

Dias

Luz

Medero

et al. 2018

Water

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Global climate change, related to the greenhouse gases emission, impacts hydroelectric power generation mainly due to the increase in air temperature and changes in the precipitation patterns. As a consequence, it affects basin evapotranspiration process, runoff, sediment transport as well as evaporation of reservoirs. This study analysed the current and future Brazilian context of hydroelectric reservoirs and investigated the potential impacts of climate change on hydropower generation and possible mitigation adjustments, giving relevant examples from around the world. Moreover, it is key to consider other factors that influence the availability of water resources such as: (a) upstream development of reservoirs, mainly the development of agricultural systems, which can contribute to increased water demand; (b) changes in land use, which can have an impact on soil degradation and sediment transport. Hydroelectric dams are a possible alternative to mitigate the impacts of climate change considering that those impacts could generate the need of adaptive actions. The assessment of climate change impacts' projections anticipates possible future scenarios and can assist in strategic planning together with the definition of adaptive operational policies.

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“…Many campaigns and promotions have been launched to reduce the environmental pollution as well as greenhouse gases. Among the major contributors of environmental pollution is the burning of fossil fuel in power generation [1]. Hence, it is crucial to minimize the amount of emission releases from power generation.…”

Section: Introductionmentioning

confidence: 99%

Modified particle swarm optimization for economic-emission load dispatch of power system operation

Abdullah

Bakar²,

Rahim³

et al. 2015

Turk J Elec Eng & Comp Sci

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This paper proposes a modified particle swarm optimization considering time-varying acceleration coefficients for the economic-emission load dispatch (EELD) problem. The new adaptive parameter is introduced to update the particle movements through the modification of the velocity equation of the classical particle swarm optimization (PSO) algorithm. The idea is to enhance the performance and robustness of classical PSO. The price penalty factor method is used to transform the multiobjective EELD problem into a single-objective problem. Then the weighted sum method is applied for finding the Pareto front solution. The best compromise solution for this problem is determined based on the fuzzy ranking approach. The IEEE 30-bus system has been used to validate the effectiveness of the proposed algorithm.It was found that the proposed algorithm can provide better results in terms of best fuel cost, best emissions, convergence characteristics, and robustness compared to the reported results using other optimization algorithms.

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Environmental degradation costs in electricity generation: The case of the Brazilian electrical matrix

Cited by 23 publications

References 18 publications

Renewable energy choice: Cost and energy analysis of grid connected photovoltaic system in Malaysia

Renewable energy choice: Cost and energy analysis of grid connected photovoltaic system in Malaysia

An Overview of Hydropower Reservoirs in Brazil: Current Situation, Future Perspectives and Impacts of Climate Change

Modified particle swarm optimization for economic-emission load dispatch of power system operation

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