scholarly journals Land use and electricity generation: A life-cycle analysis

2009 ◽  
Vol 13 (6-7) ◽  
pp. 1465-1474 ◽  
Author(s):  
Vasilis Fthenakis ◽  
Hyung Chul Kim
2015 ◽  
Author(s):  
Alysson Domingos Silvestre ◽  
Filipi Maciel ◽  
José Maurício Alves de Matos Gurgel ◽  
Monica Carvalho

2012 ◽  
Vol 9 (71) ◽  
pp. 1105-1119 ◽  
Author(s):  
Susan Tarka Sanchez ◽  
Jeremy Woods ◽  
Mark Akhurst ◽  
Matthew Brander ◽  
Michael O'Hare ◽  
...  

The expansion of land used for crop production causes variable direct and indirect greenhouse gas emissions, and other economic, social and environmental effects. We analyse the use of life cycle analysis (LCA) for estimating the carbon intensity of biofuel production from indirect land-use change (ILUC). Two approaches are critiqued: direct, attributional life cycle analysis and consequential life cycle analysis (CLCA). A proposed hybrid ‘combined model’ of the two approaches for ILUC analysis relies on first defining the system boundary of the resulting full LCA. Choices are then made as to the modelling methodology (economic equilibrium or cause–effect), data inputs, land area analysis, carbon stock accounting and uncertainty analysis to be included. We conclude that CLCA is applicable for estimating the historic emissions from ILUC, although improvements to the hybrid approach proposed, coupled with regular updating, are required, and uncertainly values must be adequately represented; however, the scope and the depth of the expansion of the system boundaries required for CLCA remain controversial. In addition, robust prediction, monitoring and accounting frameworks for the dynamic and highly uncertain nature of future crop yields and the effectiveness of policies to reduce deforestation and encourage afforestation remain elusive. Finally, establishing compatible and comparable accounting frameworks for ILUC between the USA, the European Union, South East Asia, Africa, Brazil and other major biofuel trading blocs is urgently needed if substantial distortions between these markets, which would reduce its application in policy outcomes, are to be avoided.


2019 ◽  
Vol 2 (2) ◽  
pp. 118-130
Author(s):  
Muhammad Indra al Irsyad ◽  
Anthony Halog ◽  
Rabindra Nepal ◽  
Deddy P. Koesrindartoto

Climate change policy often contradicts the least-cost objective of electricity generation in developing countries. The objective of our study is to propose electricity generation mixes that can meet emission reduction targets in Indonesia. We estimate the optimal generation mix, costs, and emissions from three scenarios, namely existing power plant planning, and 11% and 14% emission reductions in Indonesia’s electricity sector. The estimations are based on linear programming, input-output analysis, and life-cycle analysis, integrated into an agent-based modeling (ABM) platform. The simulation results confirm the existing power plant planning, which is dominated by coal-based power plants, as the lowest-cost scenario in the short-term; however, this scenario also produces the highest emissions. Emission reduction scenarios have lower emissions due to a higher share of renewables and, therefore, the Indonesian electricity system is robust from fossil fuel price increases. In the long-term, costs incurred in the emission reduction scenarios will be lower than electricity generation costs under the existing power plant planning. Our findings should be a basis for re-evaluating energy policies, power plant planning, and the research agenda in Indonesia. Keyword: linear programming, agent-based modelling (ABM), input-output analysis, life-cycle analysis


2016 ◽  
Vol 9 (9) ◽  
pp. 2855-2867 ◽  
Author(s):  
H. Cai ◽  
J. Wang ◽  
Y. Feng ◽  
M. Wang ◽  
Z. Qin ◽  
...  

Land use change (LUC)-induced surface albedo effects for expansive biofuel production need to be quantified for improved understanding of biofuel climate impacts.


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