Decentralized energy planning model for a typical village in India

Joshi, Bharati; Bhatti, T. S.; Bansal, Neeru

doi:10.1016/0360-5442(92)90104-8

Cited by 30 publications

(7 citation statements)

References 3 publications

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“…The model has been developed for both domestic and irrigation sectors (Joshi, Bhatti, & Bansal, 1992). A two-stage modeling technique to study the energy supply and demand system on the village level is used.…”

Section: Modeling Techniques Application For Rural Energymentioning

confidence: 99%

Rural Energy Modeling and Planning

Poudyal

Paatero

2013

Bulletin of Science, Technology & Society

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Energy system planning becomes essential in order to match demand and supply, where cost minimization is a primary objective. In addition, it is also of great significance in assessing the proper mix of energy sources so that energy systems meet the given load profile in a most efficient and cost-effective way. Lately, climate change has brought an increased amount of challenge for energy systems planners. As a result, there are varieties of planning methods and tools available today, either commercially or noncommercially. However, from the literature it is evident that most of these tools are targeted primarily for the developed world, thus leaving the developing world behind, where the energy issue is even more critical. Hence, the principal focus of this article is on the study of rural energy systems planning tools that have been developed so far and an assessment of their features. In a nutshell, this article presents a background review on rural electrification studies from the perspective of available planning and modeling tools. First, an overview of the energy models and their classifications are briefly discussed in general. Afterward, various rural energy models developed so far are reviewed. This review article will give a quick and broad picture of rural energy models and assist researchers, policy makers, and energy planners who are working with energy systems in the developing world.

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Section: Modeling Techniques Application For Rural Energymentioning

confidence: 99%

Rural Energy Modeling and Planning

Poudyal

Paatero

2013

Bulletin of Science, Technology & Society

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“…Two methods [Linear programming model and Goal programming (GP) model] are normally used to solve DEP problem. A Linear Programming problem includes a single objective function and a set of absolutely binding constraints and has been adopted by various researchers [19][20][21]. All the linear programming models developed so far had a single over-riding objective, such as maximizing the revenue of the study area or maximizing the biomass energy production or minimizing the total cost of energy sources or maximizing the generation of surplus biomass, etc.…”

Section: Decentralized Energy Modelsmentioning

confidence: 99%

Decentralized sustainable energy planning of Tumkur district, India

Hiremath

Kumar

Balachandra

et al. 2011

Env Prog and Sustain Energy

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Present work shows the feasibility of decentralized energy options for the Tumkur district in India. Decentralized energy planning (DEP) involves scaling down energy planning to subnational or regional scales. The important aspect of the energy planning at decentralized level would be to prepare an area-based DEP to meet energy needs and development of alternate energy sources at least-cost to the economy and environment. The geographical coverage and scale reflects the level at which the analysis takes place, which is an important factor in determining the structure of models. In the present work, DEP modeling under different scenarios has been carried out for Tumkur district of India for the year 2020. DEP model is suitably scaled for obtaining the optimal mix of energy resources and technologies using a computer-based goal programming technique. The rural areas of the Tumkur district have different energy needs. Results show that electricity needs can be met by biomass gasifier technology, using biomass feedstock produced by allocating only 12% of the wasteland in the district at 8 t/ha/yr of biomass productivity. Surplus electricity can be produced by adopting the option of biomass power generation from energy plantations. The surplus electricity generated can be supplied to the grid. The sustainable development scenario is a least cost scenario apart from promoting self-reliance, local employment, and environmental benefits.

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“…Joshi et al (1991) developed a model with the objective function of minimizing cost, and the supply and efficiency were chosen as the constraints of the model. The same model was applied to a typical village in India for both the domestic and irrigation sectors (Joshi et al, 1992). To minimize the annual operating cost based on resource constraint, a model was developed by Ashenayi and Ramkumar (1990).…”

Section: Previous Workmentioning

confidence: 99%