Alternate energy sources an analysis
Analysis of renewable energy in india
This paper, therefore, assesses the strength, weakness, opportunities and threats SWOT of using solar energy. The ERB model eventually is renamed GCAM, an open source license model, which had been used to investigate energy demand in the building sector Chaturvedi et al. Some methods to assess Wind and Solar Resources have been developed and applied in different countries and recently, the availability of geological and hydrologic maps lead to the use of GIS in Geothermal Resources as well. Life Cycle Thinking Life cycle thinking methods are systemic tools to compare the characteristics of renewable energy technologies from cradle to grave in a comprehensive manner. For example, Huang et al. Aggregating all of the highly diverse power plant technologies into a single electricity sector will produce inaccurate results de Koning et al. In its application, Hak et al. Comparison of bottom-up and top-down models. The number of emerging economies liberalizing their electricity market is growing, and such action should cautiously consider the negative impact of electricity price increase Nepal and Jamasb, Nevertheless, as Anger et al. In terms of the objective of the analysis, existing energy models aim for low carbon energy supply in developed countries while developing countries have additional concerns, such as energy access equity Pandey, ; Shukla et al. Rahman et al. Nevertheless, the top-down approaches are not suitable for rural electrification analysis because they are usually applied at the national level. Therefore, our study aims to update and extend previous studies by reviewing the more relevant analytical tools. Around countries have stated their renewable energy targets, driven by various motivations REN21,
The issue of energy access calls for an analysis of decentralized energy systems, but most existing energy models do not integrate decentralized and centralized energy analyzes at the same time Pandey, ; Hiremath et al.
As shown in Table 1bottom-up models have detailed specifications of energy demand, but the demand is usually exogenous without interactions to energy prices, income, and other factors.
Therefore, we synthesize possible tools for developing countries based on the purposes of the analysis and the issues in the developing countries as shown in Table 2. Author Contributions All authors have significantly contributed to the article.
AH is the leader of the research group and the main supervisor who gives the final approval of what to be published.
On the other hand, Urban et al. Nevertheless, Varun et al.
Hybrid energy tools surely can solve the weakness of each approach but integrating multiple approaches will be hampered by data availability and modeling ability.
The hybrid ABM should also identify optimal policies, which consider not only generation costs and environmental constraints but also macroeconomic impacts and social acceptance.
Energy sources analysis worksheet answers
Hybrid Energy Tools Each discussed analytical tool as explained above has advantages and disadvantages and, therefore, using a single analytical tool is not adequate when analyzing a complex system such as energy system. In a CGE model for Thailand, Wianwiwat and Asafu-Adjaye not only model traditional biomass energy but also further divide it to bagasse, firewood, paddy husk, crop residues and paper production residues. Wesseh and Lin , estimating translog production model, find out that renewable energy use in African countries has higher economic impacts than fossil fuels. SD could be defined as a methodology to visualize, learn, manage, and communicate complex systems rigorously Maani, ; Kelly et al. The capability to quantitatively measure environmental impacts of a policy is a standard feature of energy analytical tools except for MCDA, which commonly uses expert opinions. July, We then discuss how these tools have been used for renewable energy analysis in developing countries and found out that not all studies are aware of the emerging critical issues in developing countries. Decision Support Analysis Another tool used to understand the complexity of energy social system is decision support analysis, such as multi-criteria decision analysis MCDA Pohekar and Ramachandran, Alfaro et al. More detailed descriptions of energy models are reviewed by Bhowmik et al. ABM also could possess bottom-up and top-down features at the same time Ehlen and Scholand, ; Gerst et al. LP is a classic optimization technique commonly used for energy modeling in developing countries due to its simplicity.
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