Modelling energy demand of developing countries: Are the specific features adequately captured?

By S. Bhattacharyya, G. Timilsina. 2010

160 citations recorded by the source corpus.

This paper critically reviews existing energy demand forecasting methodologies highlighting the methodological diversities and developments over the past four decades in order to investigate whether the existing energy demand models are appropriate for capturing the specific features of developing countries. The study finds that two types of approaches, econometric and end-use accounting, are commonly used in the existing energy demand models. Although energy demand models have greatly evolved since the early seventies, key issues such as the poor-rich and urban-rural divides, traditional energy resources and differentiation between commercial and non-commercial energy commodities are often poorly reflected in these models. While the end-use energy accounting models with detailed sectoral representations produce more realistic projections as compared to the econometric models, they still suffer from huge data deficiencies especially in developing countries. Development and maintenance of more detailed energy databases, further development of models to better reflect developing country context and institutionalizing the modelling capacity in developing countries are the key requirements for energy demand modelling to deliver richer and more reliable input to policy formulation in developing countries.

Subfields: Pollution, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/0b1ca7eeeade980fc6462e6778e00963c807ce9a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pollution

1. Bas J. van Ruijven
2. D. P. Vuuren
3. Patil Balachandra

In Renewable Energy, Sustainability and the Environment

1. Bas J. van Ruijven
2. D. P. Vuuren
3. Patil Balachandra
4. Bert J. M. de Vries

Citations in the corpus

• Modeling sustainable long-term electricity supply-demand in Africa (2017, unknown): “2 For complete reviews of the energy system models, tools and modeling frameworks refer to Urban et al. (2007) and Bhattacharyya and Timilsina (2010).”
• Model projections for household energy use in India (2011, background): “Current energy models rarely take these factors into account (Bhattacharyya and Timilsina, 2010; Shukla et al., 2007; Urban et al., 2007; van Ruijven et al., 2008).”
• Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies (2019, unknown): “An established way of modelling energy demand and the adoption of energy efficient technologies by households is the use of accounting models [4,26,27].”